scikit-learn →
0.19.2-1+b1 →
armhf → 2018-12-21 21:28:22
sbuild (Debian sbuild) 0.71.0 (24 Aug 2016) on testwandboard
+==============================================================================+
| scikit-learn 0.19.2-1+b1 (armhf) Fri, 21 Dec 2018 18:22:13 +0000 |
+==============================================================================+
Package: scikit-learn
Version: 0.19.2-1+b1
Source Version: 0.19.2-1
Distribution: buster-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/buster-staging-armhf-sbuild-116b4cec-6060-42f8-8f97-1c0a17140b55' with '<<CHROOT>>'
+------------------------------------------------------------------------------+
| Update chroot |
+------------------------------------------------------------------------------+
Get:1 http://172.17.0.1/private buster-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1/private buster-staging/main Sources [11.3 MB]
Get:3 http://172.17.0.1/private buster-staging/main armhf Packages [13.0 MB]
Fetched 24.3 MB in 30s (823 kB/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Fetch source files |
+------------------------------------------------------------------------------+
Check APT
---------
Checking available source versions...
Download source files with APT
------------------------------
Reading package lists...
NOTICE: 'scikit-learn' packaging is maintained in the 'Git' version control system at:
git://github.com/yarikoptic/scikit-learn.git -b debian
Please use:
git clone git://github.com/yarikoptic/scikit-learn.git -b debian
to retrieve the latest (possibly unreleased) updates to the package.
Need to get 7118 kB of source archives.
Get:1 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (dsc) [2730 B]
Get:2 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (tar) [5785 kB]
Get:3 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (diff) [1330 kB]
Fetched 7118 kB in 3s (2339 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/scikit-learn-TJsuXw/scikit-learn-0.19.2' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/scikit-learn-TJsuXw' with '<<BUILDDIR>>'
+------------------------------------------------------------------------------+
| Install build-essential |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<<BUILDDIR>>/resolver-10qMde/apt_archive/sbuild-build-depends-core-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy
dpkg-scanpackages: info: Wrote 1 entries to output Packages file.
gpg: keybox '/<<BUILDDIR>>/resolver-10qMde/gpg/pubring.kbx' created
gpg: /<<BUILDDIR>>/resolver-10qMde/gpg/trustdb.gpg: trustdb created
gpg: key 35506D9A48F77B2E: public key "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" imported
gpg: Total number processed: 1
gpg: imported: 1
gpg: key 35506D9A48F77B2E: "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" not changed
gpg: key 35506D9A48F77B2E: secret key imported
gpg: Total number processed: 1
gpg: unchanged: 1
gpg: secret keys read: 1
gpg: secret keys imported: 1
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Release [957 B]
Get:3 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Sources [349 B]
Get:5 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Packages [433 B]
Fetched 2109 B in 1s (2540 B/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...
Install core build dependencies (apt-based resolver)
----------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
ca-certificates dbus dbus-user-session e2fsprogs-l10n krb5-locales libexpat1
libgpg-error-l10n libnss-systemd libpam-systemd libssl1.1 openssl
systemd-sysv
Use 'apt autoremove' to remove them.
The following NEW packages will be installed:
sbuild-build-depends-core-dummy
0 upgraded, 1 newly installed, 0 to remove and 47 not upgraded.
Need to get 852 B of archives.
After this operation, 0 B of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [852 B]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 852 B in 0s (0 B/s)
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 15795 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ...
Setting up sbuild-build-depends-core-dummy (0.invalid.0) ...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Check architectures |
+------------------------------------------------------------------------------+
Arch check ok (armhf included in any all)
+------------------------------------------------------------------------------+
| Install package build dependencies |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base
Filtered Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base
dpkg-deb: building package 'sbuild-build-depends-scikit-learn-dummy' in '/<<BUILDDIR>>/resolver-10qMde/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy sbuild-build-depends-scikit-learn-dummy
dpkg-scanpackages: info: Wrote 2 entries to output Packages file.
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Release [963 B]
Get:3 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Sources [640 B]
Get:5 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ Packages [724 B]
Fetched 2697 B in 1s (3900 B/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...
Install scikit-learn build dependencies (apt-based resolver)
------------------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
ca-certificates dbus dbus-user-session e2fsprogs-l10n krb5-locales
libgpg-error-l10n libnss-systemd libpam-systemd openssl systemd-sysv
Use 'apt autoremove' to remove them.
The following additional packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cpp-8 cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file fonts-lyx
g++-8 gcc-7-base gcc-8 gcc-8-base gettext gettext-base groff-base
intltool-debian libarchive-zip-perl libasan5 libatlas3-base libatomic1
libbsd0 libcc1-0 libcroco3 libelf1 libexpat1-dev
libfile-stripnondeterminism-perl libfreetype6 libgcc-8-dev libgcc1
libgfortran4 libgfortran5 libglib2.0-0 libgomp1 libicu63 libjs-jquery
libjs-jquery-ui libmagic-mgc libmagic1 libmpdec2 libpipeline1
libpython-all-dev libpython-dev libpython-stdlib libpython2-dev
libpython2-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal
libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib
libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib
libpython3.7 libpython3.7-dev libpython3.7-minimal libpython3.7-stdlib
libsigsegv2 libstdc++-8-dev libstdc++6 libsvm-dev libsvm3 libtool libubsan1
libxml2 m4 man-db mime-support po-debconf python python-all python-all-dev
python-atomicwrites python-attr python-backports.functools-lru-cache
python-cycler python-dateutil python-decorator python-dev python-funcsigs
python-joblib python-kiwisolver python-matplotlib python-matplotlib-data
python-minimal python-more-itertools python-nose python-numpy
python-pkg-resources python-pluggy python-py python-pyparsing python-pytest
python-scipy python-setuptools python-six python-subprocess32 python-tz
python2 python2-dev python2-minimal python2.7 python2.7-dev
python2.7-minimal python3 python3-all python3-all-dev python3-atomicwrites
python3-attr python3-cycler python3-dateutil python3-decorator python3-dev
python3-distutils python3-joblib python3-kiwisolver python3-lib2to3
python3-matplotlib python3-minimal python3-more-itertools python3-nose
python3-numpy python3-pkg-resources python3-pluggy python3-py
python3-pyparsing python3-pytest python3-scipy python3-setuptools
python3-six python3-tz python3.6 python3.6-dev python3.6-minimal python3.7
python3.7-dev python3.7-minimal ttf-bitstream-vera
Suggested packages:
autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
vacation gcc-8-locales cython-doc dh-make gcc-8-doc libstdc++6-8-dbg
libgcc1-dbg libgomp1-dbg libitm1-dbg libatomic1-dbg libasan5-dbg
liblsan0-dbg libtsan0-dbg libubsan1-dbg libmpx2-dbg libquadmath0-dbg
gettext-doc libasprintf-dev libgettextpo-dev groff libjs-jquery-ui-docs
libstdc++-8-doc libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc
apparmor less www-browser libmail-box-perl python-doc python-tk
python-attr-doc python-cycler-doc python-funcsigs-doc dvipng ffmpeg
gir1.2-gtk-3.0 ghostscript inkscape ipython librsvg2-common python-cairocffi
python-configobj python-excelerator python-gobject python-matplotlib-doc
python-qt4 python-sip python-tornado python-traits python-wxgtk3.0
texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage
python-nose-doc gfortran python-numpy-dbg python-numpy-doc subversion
python-pytest-xdist python-pyparsing-doc python-mock python-scipy-doc
python-setuptools-doc python2-doc python2.7-doc binfmt-support python3-doc
python3-tk python3-venv ipython3 python3-cairocffi python3-gi
python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado
python3-numpy-dbg python3.6-venv python3.6-doc python3.7-venv python3.7-doc
Recommended packages:
curl | wget | lynx libarchive-cpio-perl libglib2.0-data shared-mime-info
xdg-user-dirs javascript-common libltdl-dev libmail-sendmail-perl
python-simplejson python-lz4 python-psutil python-pil python-tk
python3-simplejson python3-psutil python3-pil python3-tk
The following NEW packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file fonts-lyx
gcc-7-base gettext gettext-base groff-base intltool-debian
libarchive-zip-perl libatlas3-base libbsd0 libcroco3 libelf1 libexpat1-dev
libfile-stripnondeterminism-perl libfreetype6 libgfortran4 libgfortran5
libglib2.0-0 libicu63 libjs-jquery libjs-jquery-ui libmagic-mgc libmagic1
libmpdec2 libpipeline1 libpython-all-dev libpython-dev libpython-stdlib
libpython2-dev libpython2-stdlib libpython2.7 libpython2.7-dev
libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev
libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal
libpython3.6-stdlib libpython3.7 libpython3.7-dev libpython3.7-minimal
libpython3.7-stdlib libsigsegv2 libsvm-dev libsvm3 libtool libxml2 m4 man-db
mime-support po-debconf python python-all python-all-dev python-atomicwrites
python-attr python-backports.functools-lru-cache python-cycler
python-dateutil python-decorator python-dev python-funcsigs python-joblib
python-kiwisolver python-matplotlib python-matplotlib-data python-minimal
python-more-itertools python-nose python-numpy python-pkg-resources
python-pluggy python-py python-pyparsing python-pytest python-scipy
python-setuptools python-six python-subprocess32 python-tz python2
python2-dev python2-minimal python2.7 python2.7-dev python2.7-minimal
python3 python3-all python3-all-dev python3-atomicwrites python3-attr
python3-cycler python3-dateutil python3-decorator python3-dev
python3-distutils python3-joblib python3-kiwisolver python3-lib2to3
python3-matplotlib python3-minimal python3-more-itertools python3-nose
python3-numpy python3-pkg-resources python3-pluggy python3-py
python3-pyparsing python3-pytest python3-scipy python3-setuptools
python3-six python3-tz python3.6 python3.6-dev python3.6-minimal python3.7
python3.7-dev python3.7-minimal sbuild-build-depends-scikit-learn-dummy
ttf-bitstream-vera
The following packages will be upgraded:
cpp-8 g++-8 gcc-8 gcc-8-base libasan5 libatomic1 libcc1-0 libgcc-8-dev
libgcc1 libgomp1 libstdc++-8-dev libstdc++6 libubsan1
13 upgraded, 136 newly installed, 0 to remove and 34 not upgraded.
Need to get 229 MB/230 MB of archives.
After this operation, 551 MB of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-10qMde/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [1008 B]
Get:2 http://172.17.0.1/private buster-staging/main armhf libbsd0 armhf 0.9.1-1 [104 kB]
Get:3 http://172.17.0.1/private buster-staging/main armhf bsdmainutils armhf 11.1.2 [182 kB]
Get:4 http://172.17.0.1/private buster-staging/main armhf libcc1-0 armhf 8.2.0-12+rpi1 [30.1 kB]
Get:5 http://172.17.0.1/private buster-staging/main armhf gcc-8-base armhf 8.2.0-12+rpi1 [188 kB]
Get:6 http://172.17.0.1/private buster-staging/main armhf libgcc1 armhf 1:8.2.0-12+rpi1 [36.6 kB]
Get:7 http://172.17.0.1/private buster-staging/main armhf libgomp1 armhf 8.2.0-12+rpi1 [63.9 kB]
Get:8 http://172.17.0.1/private buster-staging/main armhf libatomic1 armhf 8.2.0-12+rpi1 [8108 B]
Get:9 http://172.17.0.1/private buster-staging/main armhf libasan5 armhf 8.2.0-12+rpi1 [318 kB]
Get:10 http://172.17.0.1/private buster-staging/main armhf libubsan1 armhf 8.2.0-12+rpi1 [104 kB]
Get:11 http://172.17.0.1/private buster-staging/main armhf g++-8 armhf 8.2.0-12+rpi1 [5942 kB]
Get:12 http://172.17.0.1/private buster-staging/main armhf libstdc++-8-dev armhf 8.2.0-12+rpi1 [1565 kB]
Get:13 http://172.17.0.1/private buster-staging/main armhf libgcc-8-dev armhf 8.2.0-12+rpi1 [3743 kB]
Get:14 http://172.17.0.1/private buster-staging/main armhf gcc-8 armhf 8.2.0-12+rpi1 [5848 kB]
Get:15 http://172.17.0.1/private buster-staging/main armhf cpp-8 armhf 8.2.0-12+rpi1 [5475 kB]
Get:16 http://172.17.0.1/private buster-staging/main armhf libstdc++6 armhf 8.2.0-12+rpi1 [326 kB]
Get:17 http://172.17.0.1/private buster-staging/main armhf groff-base armhf 1.22.3-10 [1005 kB]
Get:18 http://172.17.0.1/private buster-staging/main armhf libpipeline1 armhf 1.5.0-2 [25.1 kB]
Get:19 http://172.17.0.1/private buster-staging/main armhf man-db armhf 2.8.4-3 [1160 kB]
Get:20 http://172.17.0.1/private buster-staging/main armhf libpython2.7-minimal armhf 2.7.15-5 [394 kB]
Get:21 http://172.17.0.1/private buster-staging/main armhf python2.7-minimal armhf 2.7.15-5 [1089 kB]
Get:22 http://172.17.0.1/private buster-staging/main armhf python2-minimal armhf 2.7.15-3 [41.3 kB]
Get:23 http://172.17.0.1/private buster-staging/main armhf python-minimal armhf 2.7.15-3 [20.9 kB]
Get:24 http://172.17.0.1/private buster-staging/main armhf mime-support all 3.61 [37.1 kB]
Get:25 http://172.17.0.1/private buster-staging/main armhf libpython2.7-stdlib armhf 2.7.15-5 [1844 kB]
Get:26 http://172.17.0.1/private buster-staging/main armhf python2.7 armhf 2.7.15-5 [299 kB]
Get:27 http://172.17.0.1/private buster-staging/main armhf libpython2-stdlib armhf 2.7.15-3 [20.7 kB]
Get:28 http://172.17.0.1/private buster-staging/main armhf libpython-stdlib armhf 2.7.15-3 [20.7 kB]
Get:29 http://172.17.0.1/private buster-staging/main armhf python2 armhf 2.7.15-3 [41.5 kB]
Get:30 http://172.17.0.1/private buster-staging/main armhf python armhf 2.7.15-3 [22.7 kB]
Get:31 http://172.17.0.1/private buster-staging/main armhf libpython3.7-minimal armhf 3.7.2~rc1-1 [582 kB]
Get:32 http://172.17.0.1/private buster-staging/main armhf python3.7-minimal armhf 3.7.2~rc1-1 [1454 kB]
Get:33 http://172.17.0.1/private buster-staging/main armhf python3-minimal armhf 3.7.1-2 [36.5 kB]
Get:34 http://172.17.0.1/private buster-staging/main armhf libmpdec2 armhf 2.4.2-2 [67.2 kB]
Get:35 http://172.17.0.1/private buster-staging/main armhf libpython3.7-stdlib armhf 3.7.2~rc1-1 [1662 kB]
Get:36 http://172.17.0.1/private buster-staging/main armhf python3.7 armhf 3.7.2~rc1-1 [322 kB]
Get:37 http://172.17.0.1/private buster-staging/main armhf libpython3-stdlib armhf 3.7.1-2 [20.0 kB]
Get:38 http://172.17.0.1/private buster-staging/main armhf python3 armhf 3.7.1-2 [61.4 kB]
Get:39 http://172.17.0.1/private buster-staging/main armhf libpython3.6-minimal armhf 3.6.8~rc1-1 [567 kB]
Get:40 http://172.17.0.1/private buster-staging/main armhf python3.6-minimal armhf 3.6.8~rc1-1 [1382 kB]
Get:41 http://172.17.0.1/private buster-staging/main armhf libmagic-mgc armhf 1:5.34-2 [239 kB]
Get:42 http://172.17.0.1/private buster-staging/main armhf libmagic1 armhf 1:5.34-2 [107 kB]
Get:43 http://172.17.0.1/private buster-staging/main armhf file armhf 1:5.34-2 [65.0 kB]
Get:44 http://172.17.0.1/private buster-staging/main armhf gettext-base armhf 0.19.8.1-9 [117 kB]
Get:45 http://172.17.0.1/private buster-staging/main armhf libsigsegv2 armhf 2.12-2 [32.3 kB]
Get:46 http://172.17.0.1/private buster-staging/main armhf m4 armhf 1.4.18-2 [185 kB]
Get:47 http://172.17.0.1/private buster-staging/main armhf autoconf all 2.69-11 [341 kB]
Get:48 http://172.17.0.1/private buster-staging/main armhf autotools-dev all 20180224.1 [77.0 kB]
Get:49 http://172.17.0.1/private buster-staging/main armhf automake all 1:1.16.1-4 [771 kB]
Get:50 http://172.17.0.1/private buster-staging/main armhf autopoint all 0.19.8.1-9 [434 kB]
Get:51 http://172.17.0.1/private buster-staging/main armhf cython armhf 0.28.4-1+b1 [1956 kB]
Get:52 http://172.17.0.1/private buster-staging/main armhf cython3 armhf 0.28.4-1+b1 [2788 kB]
Get:53 http://172.17.0.1/private buster-staging/main armhf libtool all 2.4.6-6 [547 kB]
Get:54 http://172.17.0.1/private buster-staging/main armhf dh-autoreconf all 19 [16.9 kB]
Get:55 http://172.17.0.1/private buster-staging/main armhf libarchive-zip-perl all 1.64-1 [96.8 kB]
Get:56 http://172.17.0.1/private buster-staging/main armhf libfile-stripnondeterminism-perl all 1.0.0-1 [19.5 kB]
Get:57 http://172.17.0.1/private buster-staging/main armhf dh-strip-nondeterminism all 1.0.0-1 [12.5 kB]
Get:58 http://172.17.0.1/private buster-staging/main armhf libelf1 armhf 0.170-0.5 [160 kB]
Get:59 http://172.17.0.1/private buster-staging/main armhf dwz armhf 0.12-3 [66.0 kB]
Get:60 http://172.17.0.1/private buster-staging/main armhf libglib2.0-0 armhf 2.58.1-2 [1051 kB]
Get:61 http://172.17.0.1/private buster-staging/main armhf libicu63 armhf 63.1-5 [7976 kB]
Get:62 http://172.17.0.1/private buster-staging/main armhf libxml2 armhf 2.9.4+dfsg1-7+b1 [570 kB]
Get:63 http://172.17.0.1/private buster-staging/main armhf gettext armhf 0.19.8.1-9 [1219 kB]
Get:64 http://172.17.0.1/private buster-staging/main armhf intltool-debian all 0.35.0+20060710.4 [26.3 kB]
Get:65 http://172.17.0.1/private buster-staging/main armhf po-debconf all 1.0.21 [248 kB]
Get:66 http://172.17.0.1/private buster-staging/main armhf debhelper all 11.5.4 [1003 kB]
Get:67 http://172.17.0.1/private buster-staging/main armhf python3-lib2to3 all 3.7.1-1 [78.7 kB]
Get:68 http://172.17.0.1/private buster-staging/main armhf python3-distutils all 3.7.1-1 [144 kB]
Get:69 http://172.17.0.1/private buster-staging/main armhf dh-python all 3.20180927 [95.8 kB]
Get:70 http://172.17.0.1/private buster-staging/main armhf fonts-lyx all 2.3.2-1 [199 kB]
Get:71 http://172.17.0.1/private buster-staging/main armhf libgfortran4 armhf 7.3.0-19 [191 kB]
Get:72 http://172.17.0.1/private buster-staging/main armhf libatlas3-base armhf 3.10.3-7+rpi1 [2439 kB]
Get:73 http://172.17.0.1/private buster-staging/main armhf libexpat1-dev armhf 2.2.6-1 [127 kB]
Get:74 http://172.17.0.1/private buster-staging/main armhf libfreetype6 armhf 2.9.1-3 [318 kB]
Get:75 http://172.17.0.1/private buster-staging/main armhf libgfortran5 armhf 8.2.0-12+rpi1 [205 kB]
Get:76 http://172.17.0.1/private buster-staging/main armhf libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB]
Get:77 http://172.17.0.1/private buster-staging/main armhf libpython2.7 armhf 2.7.15-5 [871 kB]
Get:78 http://172.17.0.1/private buster-staging/main armhf libpython2.7-dev armhf 2.7.15-5 [30.8 MB]
Get:79 http://172.17.0.1/private buster-staging/main armhf libpython2-dev armhf 2.7.15-3 [20.8 kB]
Get:80 http://172.17.0.1/private buster-staging/main armhf libpython-dev armhf 2.7.15-3 [20.8 kB]
Get:81 http://172.17.0.1/private buster-staging/main armhf libpython-all-dev armhf 2.7.15-3 [1064 B]
Get:82 http://172.17.0.1/private buster-staging/main armhf libpython3.7 armhf 3.7.2~rc1-1 [1251 kB]
Get:83 http://172.17.0.1/private buster-staging/main armhf libpython3.7-dev armhf 3.7.2~rc1-1 [47.2 MB]
Get:84 http://172.17.0.1/private buster-staging/main armhf libpython3-dev armhf 3.7.1-2 [20.1 kB]
Get:85 http://172.17.0.1/private buster-staging/main armhf libpython3.6-stdlib armhf 3.6.8~rc1-1 [1638 kB]
Get:86 http://172.17.0.1/private buster-staging/main armhf libpython3.6 armhf 3.6.8~rc1-1 [1181 kB]
Get:87 http://172.17.0.1/private buster-staging/main armhf libpython3.6-dev armhf 3.6.8~rc1-1 [43.7 MB]
Get:88 http://172.17.0.1/private buster-staging/main armhf libpython3-all-dev armhf 3.7.1-2 [1076 B]
Get:89 http://172.17.0.1/private buster-staging/main armhf libsvm3 armhf 3.21+ds-1.2 [36.3 kB]
Get:90 http://172.17.0.1/private buster-staging/main armhf libsvm-dev armhf 3.21+ds-1.2 [41.9 kB]
Get:91 http://172.17.0.1/private buster-staging/main armhf python-all armhf 2.7.15-3 [1044 B]
Get:92 http://172.17.0.1/private buster-staging/main armhf python2.7-dev armhf 2.7.15-5 [289 kB]
Get:93 http://172.17.0.1/private buster-staging/main armhf python2-dev armhf 2.7.15-3 [1216 B]
Get:94 http://172.17.0.1/private buster-staging/main armhf python-dev armhf 2.7.15-3 [1192 B]
Get:95 http://172.17.0.1/private buster-staging/main armhf python-all-dev armhf 2.7.15-3 [1068 B]
Get:96 http://172.17.0.1/private buster-staging/main armhf python-atomicwrites all 1.1.5-2 [6808 B]
Get:97 http://172.17.0.1/private buster-staging/main armhf python-attr all 18.2.0-1 [37.2 kB]
Get:98 http://172.17.0.1/private buster-staging/main armhf python-backports.functools-lru-cache all 1.5-1 [6456 B]
Get:99 http://172.17.0.1/private buster-staging/main armhf python-six all 1.12.0-1 [15.7 kB]
Get:100 http://172.17.0.1/private buster-staging/main armhf python-cycler all 0.10.0-1 [7448 B]
Get:101 http://172.17.0.1/private buster-staging/main armhf python-dateutil all 2.6.1-1 [61.1 kB]
Get:102 http://172.17.0.1/private buster-staging/main armhf python-decorator all 4.3.0-1 [14.2 kB]
Get:103 http://172.17.0.1/private buster-staging/main armhf python-funcsigs all 1.0.2-4 [13.7 kB]
Get:104 http://172.17.0.1/private buster-staging/main armhf python-joblib all 0.13.0-1 [190 kB]
Get:105 http://172.17.0.1/private buster-staging/main armhf python-pkg-resources all 40.6.2-1 [181 kB]
Get:106 http://172.17.0.1/private buster-staging/main armhf python-kiwisolver armhf 1.0.1-2+b1 [54.0 kB]
Get:107 http://172.17.0.1/private buster-staging/main armhf ttf-bitstream-vera all 1.10-8 [352 kB]
Get:108 http://172.17.0.1/private buster-staging/main armhf python-matplotlib-data all 2.2.2-4 [4123 kB]
Get:109 http://172.17.0.1/private buster-staging/main armhf python-pyparsing all 2.2.0+dfsg1-2 [89.5 kB]
Get:110 http://172.17.0.1/private buster-staging/main armhf python-tz all 2018.7-1 [33.6 kB]
Get:111 http://172.17.0.1/private buster-staging/main armhf python-numpy armhf 1:1.15.4-2 [1826 kB]
Get:112 http://172.17.0.1/private buster-staging/main armhf python-subprocess32 armhf 3.5.3-1 [28.9 kB]
Get:113 http://172.17.0.1/private buster-staging/main armhf python-matplotlib armhf 2.2.2-4+b1 [4995 kB]
Get:114 http://172.17.0.1/private buster-staging/main armhf python-more-itertools all 4.2.0-1 [42.3 kB]
Get:115 http://172.17.0.1/private buster-staging/main armhf python-nose all 1.3.7-4 [132 kB]
Get:116 http://172.17.0.1/private buster-staging/main armhf python-pluggy all 0.8.0-1 [20.5 kB]
Get:117 http://172.17.0.1/private buster-staging/main armhf python-py all 1.7.0-1 [86.4 kB]
Get:118 http://172.17.0.1/private buster-staging/main armhf python-pytest all 3.6.4-1 [221 kB]
Get:119 http://172.17.0.1/private buster-staging/main armhf python-scipy armhf 1.1.0-2 [8980 kB]
Get:120 http://172.17.0.1/private buster-staging/main armhf python-setuptools all 40.6.2-1 [380 kB]
Get:121 http://172.17.0.1/private buster-staging/main armhf python3.6 armhf 3.6.8~rc1-1 [245 kB]
Get:122 http://172.17.0.1/private buster-staging/main armhf python3-all armhf 3.7.1-2 [1068 B]
Get:123 http://172.17.0.1/private buster-staging/main armhf python3.7-dev armhf 3.7.2~rc1-1 [522 kB]
Get:124 http://172.17.0.1/private buster-staging/main armhf python3-dev armhf 3.7.1-2 [1260 B]
Get:125 http://172.17.0.1/private buster-staging/main armhf python3.6-dev armhf 3.6.8~rc1-1 [509 kB]
Get:126 http://172.17.0.1/private buster-staging/main armhf python3-all-dev armhf 3.7.1-2 [1076 B]
Get:127 http://172.17.0.1/private buster-staging/main armhf python3-atomicwrites all 1.1.5-2 [6892 B]
Get:128 http://172.17.0.1/private buster-staging/main armhf python3-attr all 18.2.0-1 [37.3 kB]
Get:129 http://172.17.0.1/private buster-staging/main armhf python3-six all 1.12.0-1 [15.7 kB]
Get:130 http://172.17.0.1/private buster-staging/main armhf python3-cycler all 0.10.0-1 [7556 B]
Get:131 http://172.17.0.1/private buster-staging/main armhf python3-dateutil all 2.6.1-1 [52.8 kB]
Get:132 http://172.17.0.1/private buster-staging/main armhf python3-decorator all 4.3.0-1 [14.3 kB]
Get:133 http://172.17.0.1/private buster-staging/main armhf python3-joblib all 0.13.0-1 [187 kB]
Get:134 http://172.17.0.1/private buster-staging/main armhf python3-pkg-resources all 40.6.2-1 [152 kB]
Get:135 http://172.17.0.1/private buster-staging/main armhf python3-kiwisolver armhf 1.0.1-2+b1 [53.3 kB]
Get:136 http://172.17.0.1/private buster-staging/main armhf python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB]
Get:137 http://172.17.0.1/private buster-staging/main armhf python3-tz all 2018.7-1 [27.0 kB]
Get:138 http://172.17.0.1/private buster-staging/main armhf python3-numpy armhf 1:1.15.4-2 [1997 kB]
Get:139 http://172.17.0.1/private buster-staging/main armhf python3-matplotlib armhf 2.2.2-4+b1 [5001 kB]
Get:140 http://172.17.0.1/private buster-staging/main armhf python3-more-itertools all 4.2.0-1 [42.2 kB]
Get:141 http://172.17.0.1/private buster-staging/main armhf python3-nose all 1.3.7-4 [132 kB]
Get:142 http://172.17.0.1/private buster-staging/main armhf python3-pluggy all 0.8.0-1 [20.6 kB]
Get:143 http://172.17.0.1/private buster-staging/main armhf python3-py all 1.7.0-1 [86.5 kB]
Get:144 http://172.17.0.1/private buster-staging/main armhf python3-pytest all 3.6.4-1 [221 kB]
Get:145 http://172.17.0.1/private buster-staging/main armhf python3-scipy armhf 1.1.0-2 [10.1 MB]
Get:146 http://172.17.0.1/private buster-staging/main armhf python3-setuptools all 40.6.2-1 [303 kB]
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Setting up python-numpy (1:1.15.4-2) ...
Setting up cython (0.28.4-1+b1) ...
Setting up python-six (1.12.0-1) ...
Setting up python-funcsigs (1.0.2-4) ...
Setting up python-decorator (4.3.0-1) ...
Setting up python-subprocess32 (3.5.3-1) ...
Setting up python3-setuptools (40.6.2-1) ...
Setting up python3-matplotlib (2.2.2-4+b1) ...
Setting up dh-python (3.20180927) ...
Setting up python-nose (1.3.7-4) ...
Setting up python-all (2.7.15-3) ...
Setting up python-setuptools (40.6.2-1) ...
Setting up python-kiwisolver (1.0.1-2+b1) ...
Setting up python-scipy (1.1.0-2) ...
Setting up python-py (1.7.0-1) ...
Setting up python-more-itertools (4.2.0-1) ...
Setting up python3-dev (3.7.1-2) ...
Setting up python-pytest (3.6.4-1) ...
Setting up python-cycler (0.10.0-1) ...
Setting up python-dateutil (2.6.1-1) ...
Setting up python-all-dev (2.7.15-3) ...
Setting up python3-all (3.7.1-2) ...
Setting up python3-all-dev (3.7.1-2) ...
Setting up python-matplotlib (2.2.2-4+b1) ...
Setting up dh-autoreconf (19) ...
Setting up dh-strip-nondeterminism (1.0.0-1) ...
Setting up debhelper (11.5.4) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.28-2) ...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Build environment |
+------------------------------------------------------------------------------+
Kernel: Linux 4.8.0-0.bpo.2-armmp armhf (armv7l)
Toolchain package versions: binutils_2.31.1-10+rpi1 dpkg-dev_1.19.2 g++-8_8.2.0-12+rpi1 gcc-8_8.2.0-12+rpi1 libc6-dev_2.28-2 libstdc++-8-dev_8.2.0-12+rpi1 libstdc++6_8.2.0-12+rpi1 linux-libc-dev_4.18.20-2+rpi1
Package versions: adduser_3.118 apt_1.8.0~alpha2 autoconf_2.69-11 automake_1:1.16.1-4 autopoint_0.19.8.1-9 autotools-dev_20180224.1 base-files_10.1+rpi1 base-passwd_3.5.45 bash_4.4.18-3.1 binutils_2.31.1-10+rpi1 binutils-arm-linux-gnueabihf_2.31.1-10+rpi1 binutils-common_2.31.1-10+rpi1 bsdmainutils_11.1.2 bsdutils_1:2.33-0.2 build-essential_12.5 bzip2_1.0.6-9 ca-certificates_20170717 coreutils_8.30-1 cpio_2.12+dfsg-6 cpp_4:8.2.0-2+rpi1 cpp-8_8.2.0-12+rpi1 cython_0.28.4-1+b1 cython3_0.28.4-1+b1 dash_0.5.10.2-2 dbus_1.12.12-1 dbus-user-session_1.12.12-1 debconf_1.5.69 debhelper_11.5.4 debianutils_4.8.6 dh-autoreconf_19 dh-python_3.20180927 dh-strip-nondeterminism_1.0.0-1 diffutils_1:3.6-1 dirmngr_2.2.11-1 dmsetup_2:1.02.145-4.1+b5 dpkg_1.19.2 dpkg-dev_1.19.2 dwz_0.12-3 e2fslibs_1.44.4-2 e2fsprogs_1.44.4-2 e2fsprogs-l10n_1.44.4-2 fakeroot_1.23-1 fdisk_2.33-0.2 file_1:5.34-2 findutils_4.6.0+git+20181018-1 fonts-lyx_2.3.2-1 g++_4:8.2.0-2+rpi1 g++-8_8.2.0-12+rpi1 gcc_4:8.2.0-2+rpi1 gcc-4.6-base_4.6.4-5+rpi1 gcc-4.7-base_4.7.3-11+rpi1 gcc-4.8-base_4.8.5-4 gcc-4.9-base_4.9.4-2+rpi1+b19 gcc-5-base_5.5.0-8 gcc-7-base_7.3.0-19 gcc-8_8.2.0-12+rpi1 gcc-8-base_8.2.0-12+rpi1 gettext_0.19.8.1-9 gettext-base_0.19.8.1-9 gnupg_2.2.11-1 gnupg-agent_2.2.11-1 gnupg-l10n_2.2.11-1 gnupg-utils_2.2.11-1 gpg_2.2.11-1 gpg-agent_2.2.11-1 gpg-wks-client_2.2.11-1 gpg-wks-server_2.2.11-1 gpgconf_2.2.11-1 gpgsm_2.2.11-1 gpgv_2.2.11-1 grep_3.1-2 groff-base_1.22.3-10 gzip_1.9-2.1 hostname_3.21 inetutils-ping_2:1.9.4-5 init-system-helpers_1.56 initramfs-tools_0.132 initramfs-tools-core_0.132 intltool-debian_0.35.0+20060710.4 klibc-utils_2.0.4-14+rpi1 kmod_25-2 krb5-locales_1.16.1-1 libacl1_2.2.52-3 libapparmor1_2.13.1-3+b1 libapt-pkg5.0_1.8.0~alpha2 libarchive-zip-perl_1.64-1 libargon2-1_0~20171227-0.1 libasan5_8.2.0-12+rpi1 libassuan0_2.5.1-2 libatlas3-base_3.10.3-7+rpi1 libatomic1_8.2.0-12+rpi1 libattr1_1:2.4.47-2 libaudit-common_1:2.8.4-2 libaudit1_1:2.8.4-2 libbinutils_2.31.1-10+rpi1 libblkid1_2.33-0.2 libbsd0_0.9.1-1 libbz2-1.0_1.0.6-9 libc-bin_2.28-2 libc-dev-bin_2.28-2 libc6_2.28-2 libc6-dev_2.28-2 libcap-ng0_0.7.9-1 libcap2_1:2.25-1.2 libcc1-0_8.2.0-12+rpi1 libcom-err2_1.44.4-2 libcroco3_0.6.12-2 libcryptsetup12_2:2.0.6-1 libcryptsetup4_2:1.7.5-1 libdb5.3_5.3.28+dfsg1-0.2 libdbus-1-3_1.12.12-1 libdebconfclient0_0.245 libdevmapper1.02.1_2:1.02.145-4.1+b5 libdpkg-perl_1.19.2 libdrm-common_2.4.95-1+rpi1 libdrm2_2.4.95-1+rpi1 libelf1_0.170-0.5 libexpat1_2.2.6-1 libexpat1-dev_2.2.6-1 libext2fs2_1.44.4-2 libfakeroot_1.23-1 libfdisk1_2.33-0.2 libffi6_3.2.1-9 libfile-stripnondeterminism-perl_1.0.0-1 libfreetype6_2.9.1-3 libgcc-8-dev_8.2.0-12+rpi1 libgcc1_1:8.2.0-12+rpi1 libgcrypt20_1.8.4-4 libgdbm-compat4_1.18.1-2 libgdbm3_1.8.3-14 libgdbm6_1.18.1-2 libgfortran4_7.3.0-19 libgfortran5_8.2.0-12+rpi1 libglib2.0-0_2.58.1-2 libgmp10_2:6.1.2+dfsg-4 libgnutls30_3.5.19-1+b1 libgomp1_8.2.0-12+rpi1 libgpg-error-l10n_1.32-3 libgpg-error0_1.32-3 libgssapi-krb5-2_1.16.1-1 libhogweed4_3.4.1~rc1-1 libicu63_63.1-5 libidn11_1.33-2.2 libidn2-0_2.0.5-1 libip4tc0_1.8.2-2+b1 libisl19_0.20-2 libjs-jquery_3.2.1-1 libjs-jquery-ui_1.12.1+dfsg-5 libjson-c3_0.12.1-1.3 libk5crypto3_1.16.1-1 libkeyutils1_1.5.9-9.3 libklibc_2.0.4-14+rpi1 libkmod2_25-2 libkrb5-3_1.16.1-1 libkrb5support0_1.16.1-1 libksba8_1.3.5-2 libldap-2.4-2_2.4.46+dfsg-5+rpi1+b1 libldap-common_2.4.46+dfsg-5+rpi1 liblz4-1_1.8.2-1+rpi1 liblzma5_5.2.2-1.3 libmagic-mgc_1:5.34-2 libmagic1_1:5.34-2 libmount1_2.33-0.2 libmpc3_1.1.0-1 libmpdec2_2.4.2-2 libmpfr6_4.0.1-2 libncurses5_6.1+20181013-1 libncurses6_6.1+20181013-1 libncursesw5_6.1+20181013-1 libncursesw6_6.1+20181013-1 libnettle6_3.4.1~rc1-1 libnpth0_1.6-1 libnss-systemd_239-15+rpi1 libp11-kit0_0.23.14-2 libpam-modules_1.1.8-3.8 libpam-modules-bin_1.1.8-3.8 libpam-runtime_1.1.8-3.8 libpam-systemd_239-15+rpi1 libpam0g_1.1.8-3.8 libpcre3_2:8.39-11+rpi1 libperl5.24_5.24.1-4 libperl5.28_5.28.1-3 libpipeline1_1.5.0-2 libplymouth4_0.9.4-1 libpng16-16_1.6.34-2+rpi1 libprocps7_2:3.3.15-2 libpython-all-dev_2.7.15-3 libpython-dev_2.7.15-3 libpython-stdlib_2.7.15-3 libpython2-dev_2.7.15-3 libpython2-stdlib_2.7.15-3 libpython2.7_2.7.15-5 libpython2.7-dev_2.7.15-5 libpython2.7-minimal_2.7.15-5 libpython2.7-stdlib_2.7.15-5 libpython3-all-dev_3.7.1-2 libpython3-dev_3.7.1-2 libpython3-stdlib_3.7.1-2 libpython3.6_3.6.8~rc1-1 libpython3.6-dev_3.6.8~rc1-1 libpython3.6-minimal_3.6.8~rc1-1 libpython3.6-stdlib_3.6.8~rc1-1 libpython3.7_3.7.2~rc1-1 libpython3.7-dev_3.7.2~rc1-1 libpython3.7-minimal_3.7.2~rc1-1 libpython3.7-stdlib_3.7.2~rc1-1 libreadline7_7.0-5 libsasl2-2_2.1.27~rc8-1 libsasl2-modules-db_2.1.27~rc8-1 libseccomp2_2.3.3-3 libselinux1_2.8-1 libsemanage-common_2.8-1 libsemanage1_2.8-1 libsepol1_2.8-1 libsigsegv2_2.12-2 libsmartcols1_2.33-0.2 libsqlite3-0_3.26.0-3 libss2_1.44.4-2 libssl1.1_1.1.1a-1 libstdc++-8-dev_8.2.0-12+rpi1 libstdc++6_8.2.0-12+rpi1 libsvm-dev_3.21+ds-1.2 libsvm3_3.21+ds-1.2 libsystemd0_239-15+rpi1 libtasn1-6_4.13-3 libtinfo5_6.1+20181013-1 libtinfo6_6.1+20181013-1 libtool_2.4.6-6 libubsan1_8.2.0-12+rpi1 libudev1_239-15+rpi1 libunistring2_0.9.10-1 libustr-1.0-1_1.0.4-6 libuuid1_2.33-0.2 libxml2_2.9.4+dfsg1-7+b1 libzstd1_1.3.5+dfsg-1+rpi1 linux-base_4.5 linux-libc-dev_4.18.20-2+rpi1 login_1:4.5-1.1 lsb-base_10.2018112800+rpi1 m4_1.4.18-2 make_4.2.1-1.2 makedev_2.3.1-94 man-db_2.8.4-3 mawk_1.3.3-17 mime-support_3.61 mount_2.33-0.2 multiarch-support_2.28-2 nano_3.2-1 ncurses-base_6.1+20181013-1 ncurses-bin_6.1+20181013-1 netbase_5.5 openssl_1.1.1a-1 passwd_1:4.5-1.1 patch_2.7.6-3 perl_5.28.1-3 perl-base_5.28.1-3 perl-modules-5.24_5.24.1-7 perl-modules-5.28_5.28.1-3 pinentry-curses_1.1.0-1 plymouth_0.9.4-1 po-debconf_1.0.21 procps_2:3.3.15-2 python_2.7.15-3 python-all_2.7.15-3 python-all-dev_2.7.15-3 python-atomicwrites_1.1.5-2 python-attr_18.2.0-1 python-backports.functools-lru-cache_1.5-1 python-cycler_0.10.0-1 python-dateutil_2.6.1-1 python-decorator_4.3.0-1 python-dev_2.7.15-3 python-funcsigs_1.0.2-4 python-joblib_0.13.0-1 python-kiwisolver_1.0.1-2+b1 python-matplotlib_2.2.2-4+b1 python-matplotlib-data_2.2.2-4 python-minimal_2.7.15-3 python-more-itertools_4.2.0-1 python-nose_1.3.7-4 python-numpy_1:1.15.4-2 python-pkg-resources_40.6.2-1 python-pluggy_0.8.0-1 python-py_1.7.0-1 python-pyparsing_2.2.0+dfsg1-2 python-pytest_3.6.4-1 python-scipy_1.1.0-2 python-setuptools_40.6.2-1 python-six_1.12.0-1 python-subprocess32_3.5.3-1 python-tz_2018.7-1 python2_2.7.15-3 python2-dev_2.7.15-3 python2-minimal_2.7.15-3 python2.7_2.7.15-5 python2.7-dev_2.7.15-5 python2.7-minimal_2.7.15-5 python3_3.7.1-2 python3-all_3.7.1-2 python3-all-dev_3.7.1-2 python3-atomicwrites_1.1.5-2 python3-attr_18.2.0-1 python3-cycler_0.10.0-1 python3-dateutil_2.6.1-1 python3-decorator_4.3.0-1 python3-dev_3.7.1-2 python3-distutils_3.7.1-1 python3-joblib_0.13.0-1 python3-kiwisolver_1.0.1-2+b1 python3-lib2to3_3.7.1-1 python3-matplotlib_2.2.2-4+b1 python3-minimal_3.7.1-2 python3-more-itertools_4.2.0-1 python3-nose_1.3.7-4 python3-numpy_1:1.15.4-2 python3-pkg-resources_40.6.2-1 python3-pluggy_0.8.0-1 python3-py_1.7.0-1 python3-pyparsing_2.2.0+dfsg1-2 python3-pytest_3.6.4-1 python3-scipy_1.1.0-2 python3-setuptools_40.6.2-1 python3-six_1.12.0-1 python3-tz_2018.7-1 python3.6_3.6.8~rc1-1 python3.6-dev_3.6.8~rc1-1 python3.6-minimal_3.6.8~rc1-1 python3.7_3.7.2~rc1-1 python3.7-dev_3.7.2~rc1-1 python3.7-minimal_3.7.2~rc1-1 raspbian-archive-keyring_20120528.2 readline-common_7.0-5 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.5-2 sensible-utils_0.0.12 systemd_239-15+rpi1 systemd-sysv_239-15+rpi1 sysvinit-utils_2.93-1 tar_1.30+dfsg-3+rpi1 ttf-bitstream-vera_1.10-8 tzdata_2018g-1 udev_239-15+rpi1 util-linux_2.33-0.2 xz-utils_5.2.2-1.3 zlib1g_1:1.2.11.dfsg-1
+------------------------------------------------------------------------------+
| Build |
+------------------------------------------------------------------------------+
Unpack source
-------------
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General error
gpgv: Signature made Fri Jul 27 18:27:02 2018 UTC
gpgv: using RSA key C5B905F0E8D9FD9668FF366FA2DE235062DA33FA
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.19.2-1.dsc
dpkg-source: info: extracting scikit-learn in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking scikit-learn_0.19.2.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.19.2-1.debian.tar.xz
dpkg-source: info: using patch list from debian/patches/series
dpkg-source: info: applying changeset_6c99d797d7c71d216503612a242bffb8d006582d.diff
dpkg-source: info: applying deb_precisionloss
dpkg-source: info: applying deb_no_joblib_compat
dpkg-source: info: applying deb_no_tinyclues_external_image
dpkg-source: info: applying deb_no_online_jquery
dpkg-source: info: applying up_workaround_buggy_pil
dpkg-source: info: applying deb_skip_some_tests_on_arm
dpkg-source: info: applying deb_use_system_joblib
dpkg-source: info: applying deb_no_google_analytics
dpkg-source: info: applying deb_git_revision_cmd
dpkg-source: info: applying deb_no_plot_gallery
dpkg-source: info: applying deb_optional_linkcode
dpkg-source: info: applying deb_nopaypal
dpkg-source: info: applying 0001-BF-Define-message-since-exception-might-happen-in-in.patch
Check disc space
----------------
Sufficient free space for build
Hack binNMU version
-------------------
Created changelog entry for binNMU version 0.19.2-1+b1
User Environment
----------------
APT_CONFIG=/var/lib/sbuild/apt.conf
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
LC_ALL=POSIX
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=buster-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=buster-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=109
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=buster-staging-armhf-sbuild-116b4cec-6060-42f8-8f97-1c0a17140b55
SCHROOT_UID=104
SCHROOT_USER=buildd
SHELL=/bin/sh
TERM=linux
USER=buildd
dpkg-buildpackage
-----------------
dpkg-buildpackage: info: source package scikit-learn
dpkg-buildpackage: info: source version 0.19.2-1+b1
dpkg-buildpackage: info: source distribution buster-staging
dpkg-source --before-build .
dpkg-buildpackage: info: host architecture armhf
fakeroot debian/rules clean
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh clean --buildsystem=python_distutils --with python2,python3,autoreconf
dh_auto_clean -O--buildsystem=python_distutils
dh_auto_clean: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_clean: This feature will be removed in compat 12.
python setup.py clean -a
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv7l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv7l' does not exist -- can't clean it
'build/scripts-2.7' does not exist -- can't clean it
Will remove generated .c files
find . -name \*.pyc -exec rm {} \+
dh_autoreconf_clean -O--buildsystem=python_distutils
debian/rules override_dh_clean
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_clean
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules build-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh build-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh_update_autotools_config -a -O--buildsystem=python_distutils
debian/rules override_dh_autoreconf
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_autoreconf debian/rules -- clean_generated
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[2]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
find sklearn/ -regex '.*\.c\(\|pp\)' | xargs grep -l -e 'Generated by Cython' | xargs -r rm -f
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[2]: Leaving directory '/<<PKGBUILDDIR>>'
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules override_dh_auto_configure
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 2"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "3" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 3"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_auto_configure
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_auto_configure: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_configure: This feature will be removed in compat 12.
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_auto_build -a -O--buildsystem=python_distutils
dh_auto_build: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_build: This feature will be removed in compat 12.
python setup.py build --force
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
blas_info:
customize UnixCCompiler
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:625: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
NOT AVAILABLE
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
Compiling sklearn/__check_build/_check_build.pyx because it changed.
Compiling sklearn/cluster/_dbscan_inner.pyx because it changed.
Compiling sklearn/cluster/_hierarchical.pyx because it changed.
Compiling sklearn/cluster/_k_means_elkan.pyx because it changed.
Compiling sklearn/cluster/_k_means.pyx because it changed.
Compiling sklearn/datasets/_svmlight_format.pyx because it changed.
Compiling sklearn/decomposition/_online_lda.pyx because it changed.
Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed.
Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed.
Compiling sklearn/feature_extraction/_hashing.pyx because it changed.
Compiling sklearn/manifold/_utils.pyx because it changed.
Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed.
Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed.
Compiling sklearn/metrics/pairwise_fast.pyx because it changed.
Compiling sklearn/neighbors/ball_tree.pyx because it changed.
Compiling sklearn/neighbors/kd_tree.pyx because it changed.
Compiling sklearn/neighbors/dist_metrics.pyx because it changed.
Compiling sklearn/neighbors/typedefs.pyx because it changed.
Compiling sklearn/neighbors/quad_tree.pyx because it changed.
Compiling sklearn/tree/_tree.pyx because it changed.
Compiling sklearn/tree/_splitter.pyx because it changed.
Compiling sklearn/tree/_criterion.pyx because it changed.
Compiling sklearn/tree/_utils.pyx because it changed.
Compiling sklearn/svm/libsvm.pyx because it changed.
Compiling sklearn/svm/liblinear.pyx because it changed.
Compiling sklearn/svm/libsvm_sparse.pyx because it changed.
Compiling sklearn/_isotonic.pyx because it changed.
Compiling sklearn/linear_model/cd_fast.pyx because it changed.
Compiling sklearn/linear_model/sgd_fast.pyx because it changed.
Compiling sklearn/linear_model/sag_fast.pyx because it changed.
Compiling sklearn/utils/sparsefuncs_fast.pyx because it changed.
Compiling sklearn/utils/arrayfuncs.pyx because it changed.
Compiling sklearn/utils/murmurhash.pyx because it changed.
Compiling sklearn/utils/lgamma.pyx because it changed.
Compiling sklearn/utils/graph_shortest_path.pyx because it changed.
Compiling sklearn/utils/fast_dict.pyx because it changed.
Compiling sklearn/utils/seq_dataset.pyx because it changed.
Compiling sklearn/utils/weight_vector.pyx because it changed.
Compiling sklearn/utils/_random.pyx because it changed.
Compiling sklearn/utils/_logistic_sigmoid.pyx because it changed.
[ 1/40] Cythonizing sklearn/__check_build/_check_build.pyx
[ 2/40] Cythonizing sklearn/_isotonic.pyx
[ 3/40] Cythonizing sklearn/cluster/_dbscan_inner.pyx
[ 4/40] Cythonizing sklearn/cluster/_hierarchical.pyx
[ 5/40] Cythonizing sklearn/cluster/_k_means.pyx
[ 6/40] Cythonizing sklearn/cluster/_k_means_elkan.pyx
[ 7/40] Cythonizing sklearn/datasets/_svmlight_format.pyx
[ 8/40] Cythonizing sklearn/decomposition/_online_lda.pyx
[ 9/40] Cythonizing sklearn/decomposition/cdnmf_fast.pyx
[10/40] Cythonizing sklearn/ensemble/_gradient_boosting.pyx
[11/40] Cythonizing sklearn/feature_extraction/_hashing.pyx
[12/40] Cythonizing sklearn/linear_model/cd_fast.pyx
[13/40] Cythonizing sklearn/linear_model/sag_fast.pyx
[14/40] Cythonizing sklearn/linear_model/sgd_fast.pyx
[15/40] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx
[16/40] Cythonizing sklearn/manifold/_utils.pyx
[17/40] Cythonizing sklearn/metrics/cluster/expected_mutual_info_fast.pyx
[18/40] Cythonizing sklearn/metrics/pairwise_fast.pyx
[19/40] Cythonizing sklearn/neighbors/ball_tree.pyx
[20/40] Cythonizing sklearn/neighbors/dist_metrics.pyx
[21/40] Cythonizing sklearn/neighbors/kd_tree.pyx
[22/40] Cythonizing sklearn/neighbors/quad_tree.pyx
[23/40] Cythonizing sklearn/neighbors/typedefs.pyx
[24/40] Cythonizing sklearn/svm/liblinear.pyx
[25/40] Cythonizing sklearn/svm/libsvm.pyx
[26/40] Cythonizing sklearn/svm/libsvm_sparse.pyx
[27/40] Cythonizing sklearn/tree/_criterion.pyx
[28/40] Cythonizing sklearn/tree/_splitter.pyx
[29/40] Cythonizing sklearn/tree/_tree.pyx
[30/40] Cythonizing sklearn/tree/_utils.pyx
[31/40] Cythonizing sklearn/utils/_logistic_sigmoid.pyx
[32/40] Cythonizing sklearn/utils/_random.pyx
[33/40] Cythonizing sklearn/utils/arrayfuncs.pyx
[34/40] Cythonizing sklearn/utils/fast_dict.pyx
[35/40] Cythonizing sklearn/utils/graph_shortest_path.pyx
[36/40] Cythonizing sklearn/utils/lgamma.pyx
[37/40] Cythonizing sklearn/utils/murmurhash.pyx
[38/40] Cythonizing sklearn/utils/seq_dataset.pyx
[39/40] Cythonizing sklearn/utils/sparsefuncs_fast.pyx
[40/40] Cythonizing sklearn/utils/weight_vector.pyx
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build
creating build/lib.linux-armv7l-2.7
creating build/lib.linux-armv7l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-2.7/sklearn
creating build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
creating build/lib.linux-armv7l-2.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/_build_utils
creating build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
creating build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
creating build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
creating build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
creating build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
creating build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
creating build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
creating build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
creating build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
creating build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
creating build/lib.linux-armv7l-2.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals/joblib
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
creating build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
creating build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
creating build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
creating build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree
creating build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
creating build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-2.7/sklearn/svm
creating build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
creating build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
creating build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
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_deprecation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
creating build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_docstring_parameters.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_isotonic.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-2.7/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7
creating build/temp.linux-armv7l-2.7/sklearn
creating build/temp.linux-armv7l-2.7/sklearn/svm
creating build/temp.linux-armv7l-2.7/sklearn/svm/src
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-2.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/src
creating build/temp.linux-armv7l-2.7/sklearn/src/cblas
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
In file included from sklearn/src/cblas/cblas_drot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy'; did you mean 'ATL_dgecopy'? [-Wimplicit-function-declaration]
#define ATL_dcopy ATL_drefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
sklearn/src/cblas/cblas_sgemv.c: In function 'cblas_sgemv':
sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
sklearn/src/cblas/cblas_sger.c: In function 'cblas_sger':
sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy'; did you mean 'ATL_sgecopy'? [-Wimplicit-function-declaration]
#define ATL_scopy ATL_srefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
exit(-1);
^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
sklearn/src/cblas/cblas_xerbla.c:38:1:
+#include <stdlib.h>
void cblas_xerbla(int p, char *rout, char *form, ...)
sklearn/src/cblas/cblas_xerbla.c:52:4:
exit(-1);
^~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
In file included from sklearn/src/cblas/cblas_srot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc-ar: adding 40 object files to build/temp.linux-armv7l-2.7/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/__check_build
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/cluster
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:606:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:604:
/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/include/c++/8/map:60,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:61,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_9max_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_11average_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3765:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4519:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5856:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6669:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/decomposition
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/decomposition/_online_lda.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:591:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/manifold
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:594:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:595:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:3364:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3363:9: warning: variable '__pyx_v_iQ' set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient':
sklearn/manifold/_barnes_hut_tsne.c:4197:55: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[t-SNE] Inserting %li points\n"), (__pyx_v_pos_output.shape[0])));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -o build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/metrics
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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 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.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:22325:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:590:
/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:7047:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 464, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:6850:196: 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:7868:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 553, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:7787:194: 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:8576:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 612, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:8389:196: 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:9447:87: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 685, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:9202:198: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 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.neighbors.quad_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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/quad_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:589:
/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/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3719:64: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:77: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3930:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] selected child %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__insert_point_in_new_child':
sklearn/neighbors/quad_tree.c:4512:63: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:4512:80: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__check_point_in_cell':
sklearn/neighbors/quad_tree.c:5008:88: warning: format '%li' expects argument of type 'long int', but argument 5 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5008:121: warning: format '%li' expects argument of type 'long int', but argument 12 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:84: warning: format '%li' expects argument of type 'long int', but argument 4 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:110: warning: format '%li' expects argument of type 'long int', but argument 9 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell':
sklearn/neighbors/quad_tree.c:6248:75: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6367:68: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Selected_child: %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray':
sklearn/neighbors/quad_tree.c:7127:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/quad_tree.c:7127:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/quad_tree.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:14912:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_tree.c:14912:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_splitter.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_criterion.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:9136:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:9248:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:8780:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:594:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:598:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from sklearn/svm/liblinear.c:601:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/svm/liblinear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4899:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4908:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4917:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:6351:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6360:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6369:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8456:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8465:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10450:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10459:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12805:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12814:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12823:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14337:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14346:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14355:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:16352:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:16361:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:16370:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:16379:16: warning: assignment to 'void (*)(int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:16397:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, float, float *, int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const float, const float *, const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:16406:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const float, const float *, const int, const float *, const int, const float, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:18089:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18098:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18107:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18116:16: warning: assignment to 'void (*)(int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18134:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, double, double *, int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const double, const double *, const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18143:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const double, const double *, const int, const double *, const int, const double, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_dgemv;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:595:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:588:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sag_fast.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:584:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils/src
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:586:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:610:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:25797:34: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
~~~~~~~~~~~~~~^~~~~~~~~~~~~~
sklearn/utils/fast_dict.cpp:4495:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:60,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::pair<std::_Rb_tree_node_base*, std::_Rb_tree_node_base*> std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_get_insert_hint_unique_pos(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, const key_type&) [with _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2146:5: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
In file included from /usr/include/c++/8/map:61,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_mp_ass_subscript_7sklearn_5utils_9fast_dict_IntFloatDict(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_14update(PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_1__init__(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:586:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -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:1821,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-7yWIbs/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
dh_auto_test -a -O--buildsystem=python_distutils
dh_auto_test: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_test: This feature will be removed in compat 12.
fakeroot debian/rules binary-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh binary-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh_testroot -a -O--buildsystem=python_distutils
dh_prep -a -O--buildsystem=python_distutils
dh_installdirs -a -O--buildsystem=python_distutils
debian/rules override_dh_auto_install
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2.7" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 2.7"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
python2.7 setup.py install --install-layout=deb --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
blas_info:
customize UnixCCompiler
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:625: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
NOT AVAILABLE
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp
creating /<<PKGBUILDDIR>>/debian/tmp/usr
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-2.7/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/_online_lda.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-2.7/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_quad_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/quad_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_splitter.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_criterion.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_random.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/_isotonic.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/exceptions.py to exceptions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py to learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multioutput.py to multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py to gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py to gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py to kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py to _search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py to _split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py to _validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/common.py to common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_base.py to _base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/rbm.py to rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py to birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py to k_means_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/spectral.py to spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/common.py to common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/california_housing.py to california_housing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/covtype.py to covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py to mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/rcv1.py to rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/lfw.py to lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py to nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py to online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py to bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py to forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/iforest.py to iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/funcsigs.py to funcsigs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py to t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py to ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py to approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/kde.py to kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py to lof.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_export.py to test_export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/huber.py to huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py to sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/arpack.py to arpack.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/bench.py to bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/class_weight.py to class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py to deprecation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py to extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/fixes.py to fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/metaestimators.py to metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/mocking.py to mocking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/optimize.py to optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py to random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/stats.py to stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py to testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py to validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_random.py to test_random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_calibration.py to test_calibration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_config.py to test_config.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/wine_data.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/wine_data.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/scikit_learn-0.19.2.egg-info
running install_clib
echo "3.6" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 3.6"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
python3.6 setup.py install --install-layout=deb --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
blas_info:
customize UnixCCompiler
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
NOT AVAILABLE
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-armv7l-3.6
creating build/lib.linux-armv7l-3.6/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-3.6/sklearn
creating build/lib.linux-armv7l-3.6/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-3.6/sklearn/__check_build
creating build/lib.linux-armv7l-3.6/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/_build_utils
creating build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
creating build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
creating build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
creating build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
creating build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
creating build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
creating build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
creating build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
creating build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
creating build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
creating build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
creating build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
creating build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised
creating build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
creating build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
creating build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
creating build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
creating build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
creating build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
creating build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
creating build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
creating build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-3.6/sklearn/externals
creating build/lib.linux-armv7l-3.6/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/externals/joblib
creating build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
creating build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
creating build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
creating build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
creating build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
creating build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
creating build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
creating build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
creating build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-3.6/sklearn/tree
creating build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
creating build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-3.6/sklearn/svm
creating build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
creating build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
creating build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
creating build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-3.6/sklearn/utils
creating build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
creating build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-3.6/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6
creating build/temp.linux-armv7l-3.6/sklearn
creating build/temp.linux-armv7l-3.6/sklearn/svm
creating build/temp.linux-armv7l-3.6/sklearn/svm/src
creating build/temp.linux-armv7l-3.6/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-3.6/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/src
creating build/temp.linux-armv7l-3.6/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy'; did you mean 'ATL_dgecopy'? [-Wimplicit-function-declaration]
#define ATL_dcopy ATL_drefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy'; did you mean 'ATL_sgecopy'? [-Wimplicit-function-declaration]
#define ATL_scopy ATL_srefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
sklearn/src/cblas/cblas_sgemv.c: In function 'cblas_sgemv':
sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sger.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_srot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
sklearn/src/cblas/cblas_sger.c: In function 'cblas_sger':
sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
exit(-1);
^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
sklearn/src/cblas/cblas_xerbla.c:38:1:
+#include <stdlib.h>
void cblas_xerbla(int p, char *rout, char *form, ...)
sklearn/src/cblas/cblas_xerbla.c:52:4:
exit(-1);
^~~~
In file included from sklearn/src/cblas/cblas_srotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sscal.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc-ar: adding 40 object files to build/temp.linux-armv7l-3.6/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/__check_build
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:606:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:604:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from /usr/include/c++/8/map:60,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:61,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_9max_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_11average_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/cluster/_hierarchical.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3765:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4519:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5856:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6669:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/datasets
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/decomposition
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/decomposition/_online_lda.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/ensemble
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/feature_extraction
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:591:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/manifold
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/manifold/_utils.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:3364:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3363:9: warning: variable '__pyx_v_iQ' set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient':
sklearn/manifold/_barnes_hut_tsne.c:4197:55: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[t-SNE] Inserting %li points\n"), (__pyx_v_pos_output.shape[0])));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -o build/lib.linux-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/metrics
creating build/temp.linux-armv7l-3.6/sklearn/metrics/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/metrics/pairwise_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/neighbors
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/neighbors/ball_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:22325:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/neighbors/kd_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:7047:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 464, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:6850:196: 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:7868:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 553, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:7787:194: 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:8576:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 612, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:8389:196: 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:9447:87: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 685, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:9202:198: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/neighbors/dist_metrics.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/neighbors/typedefs.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/quad_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3719:64: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:77: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3930:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] selected child %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__insert_point_in_new_child':
sklearn/neighbors/quad_tree.c:4512:63: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:4512:80: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__check_point_in_cell':
sklearn/neighbors/quad_tree.c:5008:88: warning: format '%li' expects argument of type 'long int', but argument 5 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5008:121: warning: format '%li' expects argument of type 'long int', but argument 12 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:84: warning: format '%li' expects argument of type 'long int', but argument 4 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:110: warning: format '%li' expects argument of type 'long int', but argument 9 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell':
sklearn/neighbors/quad_tree.c:6248:75: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6367:68: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Selected_child: %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray':
sklearn/neighbors/quad_tree.c:7127:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/quad_tree.c:7127:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/tree
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:14912:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_tree.c:14912:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/tree/_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/tree/_splitter.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/tree/_criterion.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:9136:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:9248:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:8780:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-3.6 -llibsvm-skl -o build/lib.linux-armv7l-3.6/sklearn/svm/libsvm.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:598:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from sklearn/svm/liblinear.c:601:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/svm/liblinear.o build/temp.linux-armv7l-3.6/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-3.6/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/svm/liblinear.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-3.6 -llibsvm-skl -o build/lib.linux-armv7l-3.6/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4899:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4908:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4917:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:6351:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6360:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6369:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8456:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8465:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10450:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10459:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12805:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12814:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12823:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14337:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14346:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14355:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:16352:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:16361:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:16370:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:16379:16: warning: assignment to 'void (*)(int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:16397:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, float, float *, int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const float, const float *, const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:16406:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const float, const float *, const int, const float *, const int, const float, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:18089:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18098:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18107:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18116:16: warning: assignment to 'void (*)(int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18134:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, double, double *, int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const double, const double *, const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18143:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const double, const double *, const int, const double *, const int, const double, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_dgemv;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/linear_model/cd_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/linear_model/sgd_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:588:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/utils
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:584:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/arrayfuncs.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/utils/src
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/murmurhash.o build/temp.linux-armv7l-3.6/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/lgamma.o build/temp.linux-armv7l-3.6/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/lgamma.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/utils/graph_shortest_path.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:610:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:25797:34: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4495:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:60,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::pair<std::_Rb_tree_node_base*, std::_Rb_tree_node_base*> std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_get_insert_hint_unique_pos(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, const key_type&) [with _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2146:5: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
In file included from /usr/include/c++/8/map:61,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_mp_ass_subscript_7sklearn_5utils_9fast_dict_IntFloatDict(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_14update(PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_1__init__(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/fast_dict.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-3.6/sklearn/utils/seq_dataset.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/weight_vector.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/_random.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.6/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-arm-linux-gnueabihf.so
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-3.6/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_hierarchical.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/_online_lda.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-3.6/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/_utils.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/pairwise_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_quad_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/ball_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/kd_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/dist_metrics.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/typedefs.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/_splitter.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/_criterion.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/libsvm.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/liblinear.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/cd_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/sgd_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/arrayfuncs.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/lgamma.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/graph_shortest_path.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/fast_dict.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/seq_dataset.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/weight_vector.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/_random.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/exceptions.py to exceptions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multioutput.py to multioutput.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py to gpc.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py to gpr.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py to kernels.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py to _search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py to _split.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py to _validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/common.py to common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_base.py to _base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/iforest.py to iforest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py to lof.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/huber.py to huber.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py to deprecation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_config.py to test_config.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-36.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/wine_data.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/wine_data.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.19.2.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
echo "3.7" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 3.7"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
python3.7 setup.py install --install-layout=deb --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
blas_info:
customize UnixCCompiler
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
NOT AVAILABLE
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-armv7l-3.7
creating build/lib.linux-armv7l-3.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-3.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-3.7/sklearn
creating build/lib.linux-armv7l-3.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-3.7/sklearn/__check_build
creating build/lib.linux-armv7l-3.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/_build_utils
creating build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-3.7/sklearn/covariance
creating build/lib.linux-armv7l-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-3.7/sklearn/covariance/tests
creating build/lib.linux-armv7l-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-3.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-3.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-3.7/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection
creating build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-3.7/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process
creating build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-3.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-3.7/sklearn/mixture
creating build/lib.linux-armv7l-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-3.7/sklearn/mixture/tests
creating build/lib.linux-armv7l-3.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection
creating build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-3.7/sklearn/model_selection/tests
creating build/lib.linux-armv7l-3.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network
creating build/lib.linux-armv7l-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-3.7/sklearn/neural_network/tests
creating build/lib.linux-armv7l-3.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing
creating build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-3.7/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-3.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-3.7/sklearn/semi_supervised
creating build/lib.linux-armv7l-3.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-3.7/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-3.7/sklearn/cluster
creating build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-3.7/sklearn/cluster/tests
creating build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-3.7/sklearn/datasets
creating build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-3.7/sklearn/datasets/tests
creating build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition
creating build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-3.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble
creating build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-3.7/sklearn/ensemble/tests
creating build/lib.linux-armv7l-3.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-3.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-3.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-3.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-3.7/sklearn/externals
creating build/lib.linux-armv7l-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/externals/joblib
creating build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction
creating build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-3.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-3.7/sklearn/manifold
creating build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-3.7/sklearn/manifold/tests
creating build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-3.7/sklearn/metrics
creating build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster
creating build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-3.7/sklearn/metrics/tests
creating build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors
creating build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-3.7/sklearn/neighbors/tests
creating build/lib.linux-armv7l-3.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-3.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-3.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-3.7/sklearn/tree
creating build/lib.linux-armv7l-3.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-3.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-3.7/sklearn/tree/tests
creating build/lib.linux-armv7l-3.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-3.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-3.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-3.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-3.7/sklearn/svm
creating build/lib.linux-armv7l-3.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-3.7/sklearn/svm/tests
creating build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model
creating build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-3.7/sklearn/linear_model/tests
creating build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-3.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-3.7/sklearn/utils
creating build/lib.linux-armv7l-3.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-3.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-3.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-3.7/sklearn/utils/tests
creating build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-3.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-3.7/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7
creating build/temp.linux-armv7l-3.7/sklearn
creating build/temp.linux-armv7l-3.7/sklearn/svm
creating build/temp.linux-armv7l-3.7/sklearn/svm/src
creating build/temp.linux-armv7l-3.7/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-3.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/src
creating build/temp.linux-armv7l-3.7/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy'; did you mean 'ATL_dgecopy'? [-Wimplicit-function-declaration]
#define ATL_dcopy ATL_drefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.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'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_drot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/atlas_level1.h:37,
from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy'; did you mean 'ATL_sgecopy'? [-Wimplicit-function-declaration]
#define ATL_scopy ATL_srefcopy
^~~~~~~~~~~~
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
sklearn/src/cblas/cblas_sgemv.c: In function 'cblas_sgemv':
sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sgemv.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sger.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_sger.c: In function 'cblas_sger':
sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sger.c:32:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
exit(-1);
^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
sklearn/src/cblas/cblas_xerbla.c:38:1:
+#include <stdlib.h>
void cblas_xerbla(int p, char *rout, char *form, ...)
sklearn/src/cblas/cblas_xerbla.c:52:4:
exit(-1);
^~~~
In file included from sklearn/src/cblas/cblas_srot.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
In file included from sklearn/src/cblas/cblas_srotg.c:32:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sscal.c
arm-linux-gnueabihf-gcc-ar: adding 40 object files to build/temp.linux-armv7l-3.7/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/__check_build
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/__check_build/_check_build.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:606:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/cluster/_dbscan_inner.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:604:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from /usr/include/c++/8/map:60,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:61,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_9max_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_11average_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/cluster/_hierarchical.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/cluster/_k_means_elkan.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3765:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4519:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5856:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6669:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/cluster/_k_means.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/datasets
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/datasets/_svmlight_format.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/decomposition
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/decomposition/_online_lda.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/decomposition/cdnmf_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/ensemble
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/ensemble/_gradient_boosting.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/feature_extraction
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:591:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/feature_extraction/_hashing.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/manifold
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/manifold/_utils.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:3364:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3363:9: warning: variable '__pyx_v_iQ' set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient':
sklearn/manifold/_barnes_hut_tsne.c:4197:55: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[t-SNE] Inserting %li points\n"), (__pyx_v_pos_output.shape[0])));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -o build/lib.linux-armv7l-3.7/sklearn/manifold/_barnes_hut_tsne.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/metrics
creating build/temp.linux-armv7l-3.7/sklearn/metrics/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/metrics/pairwise_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/neighbors
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/neighbors/ball_tree.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:22325:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/neighbors/kd_tree.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:7047:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 464, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:6850:196: 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:7868:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 553, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:7787:194: 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:8576:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 612, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:8389:196: 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:9447:87: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 685, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c:9202:198: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/neighbors/dist_metrics.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/neighbors/typedefs.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/quad_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3719:64: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:77: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3930:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] selected child %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__insert_point_in_new_child':
sklearn/neighbors/quad_tree.c:4512:63: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:4512:80: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^ ~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__check_point_in_cell':
sklearn/neighbors/quad_tree.c:5008:88: warning: format '%li' expects argument of type 'long int', but argument 5 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5008:121: warning: format '%li' expects argument of type 'long int', but argument 12 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:84: warning: format '%li' expects argument of type 'long int', but argument 4 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:110: warning: format '%li' expects argument of type 'long int', but argument 9 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell':
sklearn/neighbors/quad_tree.c:6248:75: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6367:68: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t' {aka 'int'} [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Selected_child: %li\n"), __pyx_v_selected_child));
~~^ ~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray':
sklearn/neighbors/quad_tree.c:7127:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/quad_tree.c:7127:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/neighbors/quad_tree.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/tree
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:14912:37: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error)
~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_tree.c:14912:37: note: expected 'PyTypeObject *' {aka 'struct _typeobject *'} but argument is of type 'PyObject *' {aka 'struct _object *'}
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/tree/_tree.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/tree/_splitter.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/tree/_criterion.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:9136:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:9248:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:8780:11: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/tree/_utils.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-3.7 -llibsvm-skl -o build/lib.linux-armv7l-3.7/sklearn/svm/libsvm.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:598:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from sklearn/svm/liblinear.c:601:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment to 'double *' from incompatible pointer type 'char *' [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/svm/liblinear.o build/temp.linux-armv7l-3.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-3.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/svm/liblinear.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-3.7 -llibsvm-skl -o build/lib.linux-armv7l-3.7/sklearn/svm/libsvm_sparse.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/_isotonic.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4899:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4908:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4917:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:6351:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6360:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6369:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8456:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8465:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10450:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10459:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12805:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12814:16: warning: assignment to 'void (*)(int, float, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12823:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14337:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14346:16: warning: assignment to 'void (*)(int, double, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14355:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:16352:15: warning: assignment to 'float (*)(int, float *, int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:16361:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:16370:16: warning: assignment to 'float (*)(int, float *, int)' from incompatible pointer type 'float (*)(const int, const float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:16379:16: warning: assignment to 'void (*)(int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:16397:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, float, float *, int, float *, int, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const float, const float *, const int, const float *, const int, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:16406:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, float, float *, int, float *, int, float, float *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const float, const float *, const int, const float *, const int, const float, float *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:18089:15: warning: assignment to 'double (*)(int, double *, int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18098:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18107:16: warning: assignment to 'double (*)(int, double *, int)' from incompatible pointer type 'double (*)(const int, const double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18116:16: warning: assignment to 'void (*)(int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18134:15: warning: assignment to 'void (*)(enum CBLAS_ORDER, int, int, double, double *, int, double *, int, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const int, const int, const double, const double *, const int, const double *, const int, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18143:16: warning: assignment to 'void (*)(enum CBLAS_ORDER, enum CBLAS_TRANSPOSE, int, int, double, double *, int, double *, int, double, double *, int)' from incompatible pointer type 'void (*)(const enum CBLAS_ORDER, const enum CBLAS_TRANSPOSE, const int, const int, const double, const double *, const int, const double *, const int, const double, double *, const int)' [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_dgemv;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/linear_model/cd_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/linear_model/sgd_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:588:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/linear_model/sag_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/utils
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:584:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/sparsefuncs_fast.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/arrayfuncs.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.7/sklearn/utils/src
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-3.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/utils/murmurhash.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-3.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/lgamma.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/utils/graph_shortest_path.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:610:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:25797:34: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4495:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^~~~~~~~~~~~~~~
In file included from /usr/include/c++/8/map:60,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::pair<std::_Rb_tree_node_base*, std::_Rb_tree_node_base*> std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_get_insert_hint_unique_pos(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, const key_type&) [with _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2146:5: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h: In member function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/8/bits/stl_tree.h:2411:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
In file included from /usr/include/c++/8/map:61,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_mp_ass_subscript_7sklearn_5utils_9fast_dict_IntFloatDict(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_14update(PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
/usr/include/c++/8/bits/stl_map.h: In function 'int __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_1__init__(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/8/bits/stl_map.h:499:8: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator' {aka 'std::_Rb_tree_const_iterator<std::pair<const int, double> >'} changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/fast_dict.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-3.7 -o build/lib.linux-armv7l-3.7/sklearn/utils/seq_dataset.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-3.7 -lcblas -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/weight_vector.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/_random.cpython-37m-arm-linux-gnueabihf.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.7m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1821,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-3.7 -lm -o build/lib.linux-armv7l-3.7/sklearn/utils/_logistic_sigmoid.cpython-37m-arm-linux-gnueabihf.so
running install_lib
copying build/lib.linux-armv7l-3.7/sklearn/__check_build/_check_build.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.7/sklearn/cluster/_dbscan_inner.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.7/sklearn/cluster/_hierarchical.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.7/sklearn/cluster/_k_means_elkan.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.7/sklearn/cluster/_k_means.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.7/sklearn/datasets/_svmlight_format.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.7/sklearn/decomposition/_online_lda.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.7/sklearn/decomposition/cdnmf_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.7/sklearn/ensemble/_gradient_boosting.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.7/sklearn/feature_extraction/_hashing.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.7/sklearn/manifold/_utils.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.7/sklearn/manifold/_barnes_hut_tsne.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.7/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.7/sklearn/metrics/pairwise_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.7/sklearn/neighbors/ball_tree.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.7/sklearn/neighbors/kd_tree.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.7/sklearn/neighbors/dist_metrics.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.7/sklearn/neighbors/typedefs.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.7/sklearn/neighbors/quad_tree.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.7/sklearn/tree/_tree.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.7/sklearn/tree/_splitter.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.7/sklearn/tree/_criterion.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.7/sklearn/tree/_utils.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.7/sklearn/svm/libsvm.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.7/sklearn/svm/liblinear.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.7/sklearn/svm/libsvm_sparse.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.7/sklearn/linear_model/cd_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.7/sklearn/linear_model/sgd_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.7/sklearn/linear_model/sag_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.7/sklearn/utils/sparsefuncs_fast.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/arrayfuncs.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/murmurhash.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/lgamma.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/graph_shortest_path.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/fast_dict.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/seq_dataset.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/weight_vector.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/_random.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/utils/_logistic_sigmoid.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.7/sklearn/_isotonic.cpython-37m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/exceptions.py to exceptions.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multioutput.py to multioutput.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py to gpc.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py to gpr.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py to kernels.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py to _search.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py to _split.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py to _validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/common.py to common.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_base.py to _base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/iforest.py to iforest.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py to lof.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/huber.py to huber.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py to deprecation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_config.py to test_config.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-37.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-37.pyc
running install_data
running install_egg_info
Removing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.19.2.egg-info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.19.2.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:625: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2.7" | grep -q '^3' && PY=3 || PY=2.7; \
export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \
export MPLCONFIGDIR=/<<PKGBUILDDIR>>/build HOME=/<<PKGBUILDDIR>>/build; \
export JOBLIB_MULTIPROCESSING=2; \
cd build/; python2.7 /usr/bin/nosetests -s -v sklearn && \
{ python2.7 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
DeprecationWarning)
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok
sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok
sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok
sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok
sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed.
sklearn.cluster.tests.test_bicluster.test_errors ... ok
sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok
sklearn.cluster.tests.test_birch.test_partial_fit ... ok
sklearn.cluster.tests.test_birch.test_birch_predict ... ok
sklearn.cluster.tests.test_birch.test_n_clusters ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:77: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
node1_dist, node2_dist = dist[[farthest_idx]]
ok
sklearn.cluster.tests.test_birch.test_sparse_X ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:77: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
node1_dist, node2_dist = dist[[farthest_idx]]
ok
sklearn.cluster.tests.test_birch.test_branching_factor ... ok
sklearn.cluster.tests.test_birch.test_threshold ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_metric_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py:141: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
n_jobs=n_jobs)
ok
sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok
sklearn.cluster.tests.test_dbscan.test_input_validation ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
sklearn.cluster.tests.test_dbscan.test_boundaries ... ok
sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_initial_rows_zero ... ok
sklearn.cluster.tests.test_hierarchical.test_deprecation_of_n_components_in_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok
sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering_wrong_arg_memory ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:181: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='/tmp/tmp9jYK5K'", use "location='/tmp/tmp9jYK5K'" instead.
memory = Memory(cachedir=memory, verbose=0)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:181: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='/tmp/tmpi37zQK'", use "location='/tmp/tmpi37zQK'" instead.
memory = Memory(cachedir=memory, verbose=0)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:181: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='/tmp/tmpOfkyWF'", use "location='/tmp/tmpOfkyWF'" instead.
memory = Memory(cachedir=memory, verbose=0)
ok
sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok
sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok
sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok
sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_n_components ... ok
sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok
sklearn.cluster.tests.test_hierarchical.test_affinity_passed_to_fix_connectivity ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py:426: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
affinity=affinity)
ok
sklearn.cluster.tests.test_k_means.test_elkan_results ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok
sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok
sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok
sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok
sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok
sklearn.cluster.tests.test_k_means.test_predict ... ok
sklearn.cluster.tests.test_k_means.test_score ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_int_input ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4
sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok
sklearn.cluster.tests.test_k_means.test_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
Test that x_squared_norms can be None in _init_centroids ... ok
sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok
sklearn.cluster.tests.test_k_means.test_float_precision ... ok
sklearn.cluster.tests.test_k_means.test_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_validate_centers ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth_with_sparse_matrix ... ok
sklearn.cluster.tests.test_mean_shift.test_parallel ... I: Seeding RNGs with 270694861
Converged after 58 iterations.
ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok
sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok
sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
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 ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.cluster.tests.test_spectral.test_discretize ... ok
sklearn.covariance.tests.test_covariance.test_covariance ... ok
sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok
sklearn.covariance.tests.test_covariance.test_oas ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok
sklearn.covariance.tests.test_graph_lasso.test_deprecated_grid_scores ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function grid_scores is deprecated; Attribute grid_scores was deprecated in version 0.19 and will be removed in 0.21. Use ``grid_scores_`` instead
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok
sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue3367 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py:622: UserWarning: The covariance matrix associated to your dataset is not full rank
warnings.warn("The covariance matrix associated to your dataset "
ok
sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.cross_decomposition.tests.test_pls.test_pls ... ok
sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok
sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok
sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok
sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_scaling ... ok
sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test
Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_base.test_data_home ... ok
sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok
sklearn.datasets.tests.test_base.test_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:124: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_digits ... ok
sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok
sklearn.datasets.tests.test_base.test_load_sample_image ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:152: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:168: 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_wine ... ok
sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok
sklearn.datasets.tests.test_base.test_load_boston ... ok
sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok
sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok
sklearn.datasets.tests.test_base.test_bunch_dir ... ok
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded.
sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded.
SKIP: PIL not installed.
sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok
Test that fetch_mldata is able to download and cache a data set. ... ok
sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok
sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok
sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test.
sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok
Test the construction of informative features in make_classification ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok
sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok
sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok
sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok
sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok
sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok
sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok
sklearn.datasets.tests.test_samples_generator.test_make_moons ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok
sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zeros ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_offset_exhaustive_splits ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes_omp ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok
sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok
sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok
sklearn.decomposition.tests.test_fastica.test_gs ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok
sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok
sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok
sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok
sklearn.decomposition.tests.test_incremental_pca.test_singular_values ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok
sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_input ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_beta_divergence ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_decreasing ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_multiplicative_update_sparse ... ok
sklearn.decomposition.tests.test_nmf.test_special_sparse_dot ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.decomposition.tests.test_nmf.test_nmf_negative_beta_loss ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:788: RuntimeWarning: underflow encountered in multiply
H *= delta_H
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:165: RuntimeWarning: underflow encountered in multiply
dot_vals = np.multiply(W[ii, :], H.T[jj, :]).sum(axis=1)
ok
sklearn.decomposition.tests.test_nmf.test_nmf_regularization ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:778: RuntimeWarning: underflow encountered in multiply
W *= delta_W
ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok
sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_doc_topic_distr_deprecation ... ok
Test LDA on empty document (all-zero rows). ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:780: RuntimeWarning: divide by zero encountered in double_scalars
perword_bound = bound / word_cnt
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:375: RuntimeWarning: underflow encountered in exp
assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))),
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2352: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 1, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 0, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 0, 3, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 1, 3, 3) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 2, 3, 1) ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_n_topics_deprecation ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok
sklearn.decomposition.tests.test_pca.test_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok
sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... ok
sklearn.decomposition.tests.test_pca.test_singular_values ... ok
sklearn.decomposition.tests.test_pca.test_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_validation ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_dim ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_score ... ok
sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score_with_different_solvers ... ok
sklearn.decomposition.tests.test_pca.test_pca_zero_noise_variance_edge_cases ... ok
sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok
sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_sparse_input ... ok
sklearn.decomposition.tests.test_pca.test_pca_bad_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok
sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok
sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform.
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok
sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok
sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok
sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok
sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok
sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok
sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok
sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok
sklearn.decomposition.tests.test_truncated_svd.test_singular_values ... ok
sklearn.ensemble.tests.test_bagging.test_classification ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.ensemble.tests.test_bagging.test_regression ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok
sklearn.ensemble.tests.test_bagging.test_probability ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok
sklearn.ensemble.tests.test_bagging.test_single_estimator ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.ensemble.tests.test_bagging.test_error ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
ok
sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok
sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok
sklearn.ensemble.tests.test_bagging.test_base_estimator ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
ok
sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok
sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_set_oob_score_label_encoding ... ok
sklearn.ensemble.tests.test_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_base_not_int_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_set_random_states ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <type 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <type 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <type 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <type 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok
sklearn.ensemble.tests.test_forest.test_1d_input ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok
sklearn.ensemble.tests.test_forest.test_parallel_train ... ok
sklearn.ensemble.tests.test_forest.test_distribution ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_quantile_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok
Check Isolation Forest for various parameter settings. ... ok
Check IForest for various parameter settings on sparse input. ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
Test that it gives proper exception on deficient input. ... FAIL
Check max_depth recalculation when max_samples is reset to n_samples ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
Check parallel regression. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
ok
Test Isolation Forest performs well ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_subsampled_features ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_average_path_length ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok
sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok
sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok
Check classification by majority label on dataset iris. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check voting classifier selects smaller class label in tie situation. ... ok
Check classification by average probabilities on dataset iris. ... ok
Manually check predicted class labels for toy dataset. ... ok
Calculate predicted probabilities on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
Check if error is raised for multilabel classification. ... ok
Check GridSearch support. ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:388: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
ok
Check parallel backend of VotingClassifier on toy dataset. ... ok
Tests sample_weight parameter of VotingClassifier ... ok
Check that VotingClassifier passes sample_weight as kwargs ... ok
set_params should be able to set estimators ... ok
VotingClassifier set_params should be able to set estimators as None ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py:290: DeprecationWarning: 'flatten_transform' default value will be changed to True in 0.21.To silence this warning you may explicitly set flatten_transform=False.
DeprecationWarning)
ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_weights_format ... ok
Check transform method of VotingClassifier on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_oneclass_adaboost_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok
sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok
sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok
sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok
sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok
sklearn.ensemble.tests.test_weight_boosting.test_error ... ok
sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok
AdaBoostRegressor should work without sample_weights in the base estimator ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_collisions ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_alternate_sign ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_negative ... 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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py:287: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
indexing_strides = arr[slices].strides
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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py:288: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
assert_true((patches[[slice(-1, None, None)] * ndim] ==
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py:289: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
image[last_patch_slices].squeeze()).all())
ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok
sklearn.feature_extraction.tests.test_image.test_width_patch ... ok
sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok
sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok
sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok
sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_word_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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok
sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok
sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... SKIP: no warning gets issued on armel
sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok
sklearn.feature_extraction.tests.test_text.test_feature_names ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok
sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok
sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok
sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_string_object_as_input ... ok
sklearn.feature_selection.tests.test_base.test_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_get_support ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok
sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_boundary_case_ch2 ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok
sklearn.feature_selection.tests.test_feature_select.test_scorefunc_multilabel ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok
sklearn.feature_selection.tests.test_feature_select.test_nans ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok
sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
sklearn.feature_selection.tests.test_from_model.test_input_estimator_unchanged ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok
sklearn.feature_selection.tests.test_from_model.test_sample_weight ... ok
sklearn.feature_selection.tests.test_from_model.test_coef_default_threshold ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_calling_fit_reinitializes ... ok
sklearn.feature_selection.tests.test_from_model.test_prefit ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_without_refitting ... ok
sklearn.feature_selection.tests.test_from_model.test_2d_coef ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_verbose_output ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok
sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function constant is deprecated; The function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function squared_exponential is deprecated; The function squared_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function absolute_exponential is deprecated; The function absolute_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function cubic is deprecated; The function cubic of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function quadratic is deprecated; The function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_batch_size ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py:102: RuntimeWarning: underflow encountered in exp
return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1))
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
ok
sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply
K_gradient *= K[..., np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply
K2_gradient * K1[:, :, np.newaxis]))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply
R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr)) # Line 7
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply
return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis],
ok
sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class ... ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpr.test_prior ... ok
sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok
sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py:457: UserWarning: fmin_l_bfgs_b terminated abnormally with the state: {'warnflag': 2, 'task': 'ABNORMAL_TERMINATION_IN_LNSRCH', 'grad': array([-3.02270055e-05, -1.57073866e-05]), 'nit': 11, 'funcalls': 66}
" state: %s" % convergence_dict)
ok
sklearn.gaussian_process.tests.test_gpr.test_random_starts ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok
sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_correct_error_message ... ok
sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_fit_default_predict ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in divide
/ np.sqrt(D.sum(2))[:, :, np.newaxis]
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok
sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok
sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... ok
sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok
sklearn.linear_model.tests.test_base.test_linear_regression ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok
sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_base.test_fit_intercept ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok
sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok
sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_dtype_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_rescale_data ... ok
sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test
sklearn.linear_model.tests.test_bayes.test_bayesian_ridge_parameter ... ok
sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok
sklearn.linear_model.tests.test_bayes.test_return_std ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_with_some_model_selection ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5.
% (min_groups, self.n_splits)), Warning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_l1_ratio ... ok
sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok
sklearn.linear_model.tests.test_huber.test_huber_max_iter ... ok
sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok
sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok
sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok
sklearn.linear_model.tests.test_huber.test_huber_scaling_invariant ... ok
sklearn.linear_model.tests.test_huber.test_huber_and_sgd_same_results ... ok
sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok
sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok
sklearn.linear_model.tests.test_least_angle.test_simple ... ok
sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py:95: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X1, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py:103: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_precompute ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok
sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv_max_iter ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_R_implementation ... ok
sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... ok
sklearn.linear_model.tests.test_logistic.test_lr_liblinear_warning ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok
sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok
sklearn.linear_model.tests.test_logistic.test_sparsify ... ok
sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok
sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok
sklearn.linear_model.tests.test_logistic.test_nan ... ok
sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_string_inputs ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok
sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 8.747e+00 pre 7.841e+00 delta 1.521e+00 f 1.386e+01 |g| 1.607e+01 CG 3
iter 2 act 9.618e-01 pre 8.065e-01 delta 1.521e+00 f 5.116e+00 |g| 3.834e+00 CG 2
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_saga_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1 ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok
sklearn.linear_model.tests.test_logistic.test_n_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... ok
sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_dtype_match ... SKIP
sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok
sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok
sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_omp.test_tol ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok
sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
copy_X=copy_X, return_path=return_path)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:374: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
return_path=return_path)
ok
sklearn.linear_model.tests.test_omp.test_bad_input ... ok
sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok
sklearn.linear_model.tests.test_omp.test_estimator ... ok
sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok
sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok
sklearn.linear_model.tests.test_omp.test_no_atoms ... ok
sklearn.linear_model.tests.test_omp.test_omp_path ... ok
sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok
sklearn.linear_model.tests.test_omp.test_omp_cv ... ok
sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok
sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_precompute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.linear_model.tests.test_randomized_l1.test_warning_raised ... ok
sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_error_memory ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_data ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_model ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_warn_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_ridge ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok
sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_loo at 0xb25a4830>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xb25a48b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv_normalize at 0xb25a4870>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xb25a48f0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xb25a4930>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xb25a4970>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xb25a49b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights ... ok
Check class_weights resemble sample_weights behavior. ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'.
warnings.warn("In Ridge, only 'sag' solver can currently fit the "
ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok
sklearn.linear_model.tests.test_ridge.test_dtype_match ... ok
sklearn.linear_model.tests.test_ridge.test_dtype_match_cholesky ... ok
tests binary classifier with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok
tests if classifier results match target ... ok
sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok
tests multiclass with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok
tests if the binary classifier is computed correctly ... ok
tests if the multiclass classifier is computed correctly ... ok
tests if the sag pobj matches log reg ... ok
tests if the sag pobj matches ridge reg ... ok
tests if the sag regressor performs well ... ok
tests if the sag regressor is computed correctly ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
sklearn.linear_model.tests.test_sgd.test_tol_and_max_iter_default_values ... ok
sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok
sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok
sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok
sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok
sklearn.linear_model.tests.test_sgd.test_tol_parameter ... ok
sklearn.linear_model.tests.test_sgd.test_future_and_deprecation_warnings ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok
sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok
sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok
sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok
sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok
sklearn.manifold.tests.test_isomap.test_transform ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.manifold.tests.test_isomap.test_pipeline ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok
sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok
sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok
sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok
sklearn.manifold.tests.test_locally_linear.test_integer_input ... ok
sklearn.manifold.tests.test_mds.test_smacof ... ok
sklearn.manifold.tests.test_mds.test_smacof_error ... ok
sklearn.manifold.tests.test_mds.test_MDS ... ok
sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available.
sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok
sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok
sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok
sklearn.manifold.tests.test_t_sne.test_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok
t-SNE should give a lower KL divergence with more iterations. ... ok
sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok
sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok
sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_computed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok
sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_method_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_angle_out_of_range_checks ... ok
sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok
sklearn.manifold.tests.test_t_sne.test_n_components_range ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_used ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_used ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok
sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_verbose ... ok
sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok
sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok
sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok
sklearn.manifold.tests.test_t_sne.test_64bit ... ok
sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok
sklearn.manifold.tests.test_t_sne.test_min_grad_norm ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_without_progress ... SKIP: Test skipped on 32bit platforms.
sklearn.manifold.tests.test_t_sne.test_accessible_kl_divergence ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('barnes_hut',) ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('exact',) ... ok
sklearn.manifold.tests.test_t_sne.test_bh_match_exact ... ok
Make sure that TSNE works for different distance metrics ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok
Different number of biclusters in A and B ... ok
sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok
sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok
sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok
sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score_properties ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok
sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_jurman ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_multiclass ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_overflow ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok
sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
Test confusion matrix - case with sample_weight ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_dtype ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_labels_target_names_unequal_length ... ok
sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok
sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok
sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok
sklearn.metrics.tests.test_classification.test_prf_warnings ... ok
sklearn.metrics.tests.test_classification.test_recall_warnings ... ok
sklearn.metrics.tests.test_classification.test_precision_warnings ... ok
sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok
sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... ok
sklearn.metrics.tests.test_classification.test__check_targets_multiclass_with_both_y_true_and_y_pred_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok
sklearn.metrics.tests.test_classification.test_log_loss ... ok
sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok
sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok
sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok
sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok
sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok
sklearn.metrics.tests.test_common.test_symmetry ... ok
sklearn.metrics.tests.test_common.test_inf_nan_input ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok
sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multiclass_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(brier_score_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(coverage_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(label_ranking_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb362a1b0>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb362a1b0>, <function wminkowski at 0xb3f46670>, {'p': 1, 'w': array([1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb362a1b0>, 'wminkowski', {'p': 1, 'w': array([1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb362a230>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb362a230>, <function callable_rbf_kernel at 0xb252c2f0>, {'gamma': 0.1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
sklearn.metrics.tests.test_pairwise.test_paired_distances ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok
sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok
sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok
sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok
sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok
sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok
sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok
sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok
sklearn.metrics.tests.test_ranking.test_auc ... ok
sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_ranking.test_auc_errors ... ok
sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok
sklearn.metrics.tests.test_ranking.test_binary_clf_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... SKIP: no precision-related exceptions get issued on armel
sklearn.metrics.tests.test_ranking.test_average_precision_constant_values ... ok
sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb24b7730>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb24b7730>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb24b7730>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb24b7730>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3616470>, 10, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_coverage_error ... ok
sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok
sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok
sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics ... ok
sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets_exception ... ok
sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok
sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok
sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_and_check_multimetric_scoring ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok
sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok
sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok
sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok
sklearn.metrics.tests.test_score_objects.test_supervised_cluster_scorers ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('normalized_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('homogeneity_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('fowlkes_mallows_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('v_measure_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('completeness_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_log_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('explained_variance',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok
sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... 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) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_digamma ... ok
sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:667: RuntimeWarning: underflow encountered in exp
_estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar,
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply
covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k]
ok
sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok
sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_gmm.test_1d_1component ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok
sklearn.mixture.tests.test_gmm.test_aic ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.mixture.tests.test_gmm.test_multiple_init ... ok
sklearn.mixture.tests.test_gmm.test_n_parameters ... ok
sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok
sklearn.model_selection.tests.test_search.test_parameter_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_search.test_grid_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_random_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_deprecation ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_two_places ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:585: DeprecationWarning: "fit_params" as a constructor argument was deprecated in version 0.19 and will be removed in version 0.21. Pass fit parameters to the "fit" method instead.
'"fit" method instead.', DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:589: RuntimeWarning: Ignoring fit_params passed as a constructor argument in favor of keyword arguments to the "fit" method.
'the "fit" method.', RuntimeWarning)
ok
sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok
sklearn.model_selection.tests.test_search.test_pandas_input ... ok
sklearn.model_selection.tests.test_search.test_refit ... ok
sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok
sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok
sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok
sklearn.model_selection.tests.test_search.test_return_train_score_warn ... ok
sklearn.model_selection.tests.test_search.test_classes__property ... ok
sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok
sklearn.model_selection.tests.test_search.test_no_refit ... ok
sklearn.model_selection.tests.test_search.test_grid_search_error ... ok
sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok
sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok
sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok
sklearn.model_selection.tests.test_search.test_X_as_list ... ok
sklearn.model_selection.tests.test_search.test_y_as_list ... ok
sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok
sklearn.model_selection.tests.test_search.test_param_sampler ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_search_iid_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok
sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok
sklearn.model_selection.tests.test_search.test_fit_grid_point ... ok
sklearn.model_selection.tests.test_search.test_pickle ... ok
sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok
sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok
sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok
sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok
sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_search.test_search_train_scores_set_to_false ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_splits_consistency ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_split.test_2d_y ... ok
sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok
sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok
sklearn.model_selection.tests.test_split.test_repeated_cv_value_errors ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok
sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok
sklearn.model_selection.tests.test_split.test_kfold_indices ... ok
sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok
sklearn.model_selection.tests.test_split.test_kfold_balance ... ok
sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... /usr/lib/python2.7/dist-packages/numpy/testing/_private/utils.py:769: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
val = comparison(x, y)
ok
sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok
sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.model_selection.tests.test_split.test_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel_many_labels ... ok
sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok
sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out ... ok
sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out_error_on_fewer_number_of_groups ... ok
sklearn.model_selection.tests.test_split.test_repeated_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_kfold ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_stratified_kfold ... ok
sklearn.model_selection.tests.test_split.test_repeated_stratified_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_errors ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified.
FutureWarning)
ok
sklearn.model_selection.tests.test_split.test_train_test_split ... ok
sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok
sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok
sklearn.model_selection.tests.test_split.train_test_split_list_input ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok
sklearn.model_selection.tests.test_split.test_stratifiedshufflesplit_list_input ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok
sklearn.model_selection.tests.test_split.test_check_cv ... ok
sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok
sklearn.model_selection.tests.test_split.test_group_kfold ... ok
sklearn.model_selection.tests.test_split.test_time_series_cv ... ok
sklearn.model_selection.tests.test_split.test_time_series_max_train_size ... ok
sklearn.model_selection.tests.test_split.test_nested_cv ... ok
sklearn.model_selection.tests.test_split.test_train_test_default_warning ... ok
sklearn.model_selection.tests.test_split.test_build_repr ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate_invalid_scoring_param ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate_return_train_score_warn ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.model_selection.tests.test_validation.test_permutation_score ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_decision_function_shape ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_log_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.1s finished
ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_shuffle ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_clone_estimator ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_cv_splits_consistency ... ok
sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_method_checking ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_validation.test_gridsearchcv_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_class_subset ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_score_memmap ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_pandas ... ok
sklearn.neighbors.tests.test_approximate.test_lsh_forest_deprecation ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 4. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok
sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
sklearn.neighbors.tests.test_approximate.test_distances ... ok
sklearn.neighbors.tests.test_approximate.test_fit ... ok
sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok
sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok
sklearn.neighbors.tests.test_approximate.test_candidates ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_graphs ... ok
sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:145: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xaf1709e0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:201: RuntimeWarning: underflow encountered in exp
dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples
/usr/lib/python2.7/dist-packages/scipy/stats/kde.py:222: RuntimeWarning: underflow encountered in exp
result[i] = sum(exp(-energy), axis=0)
ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok
sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[0.53861588, 0.45094267, 0.28419442, 0.41701564, 0.69508182, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.51149072, 0.42978945, 0.28691315, 0.31414856, 0.67822857, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.35478506, 0.34649572, 0.21080154, 0.22142038, 0.53671639, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.26214981, 0.3151016 , 0.16585854, 0.16045352, 0.48619498, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[1.45964409, 1.25116805, 0.56385105, 1.46151151, 2.11940325, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[0.8092389 , 0.73433834, 0.44607985, 0.75978393, 1.06004733, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[0.58384805, 0.56795898, 0.32594322, 0.53204405, 0.79637583, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[2.37482514, 1.1721197 , 1.26879784, 1.66071271, 1.85983097, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[0.31225657, 0.25850558, 0.13215958, 0.29289755, 0.38919585, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[0.75 , 0.5 , 0.25 , 0.75 , 0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[0.6 , 0.33333333, 0.14285714, 0.6 , 0.33333333, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[0. , 0.34688982, 0.41484926, 0.53172732, 0.52859511, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.21197555, 0.43461091, 0.43558715, 0.37123525, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.13471566, 0.31498027, 0.30704769, 0.24525516, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.08691326, 0.24582898, 0.2276954 , 0.1766636 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[0. , 0.57984003, 0.72664541, 1.65888213, 1.36160847, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[0. , 0.48135148, 0.66512238, 0.85934453, 0.77585798, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[0. , 0.36478684, 0.48581161, 0.63461015, 0.57396051, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[0. , 0.91374016, 1.34363768, 2.35165824, 1.43398969, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[0. , 0.14686859, 0.1873355 , 0.30002036, 0.23338654, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[0. , 0.5 , 0.25 , 0.5 , 0.25 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[0. , 0.33333333, 0.14285714, 0.33333333, 0.14285714, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok
sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_bad_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_input_data_size ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:98: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:153: RuntimeWarning: underflow encountered in exp
dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples
ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:36: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(log_dens), dens_true,
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2352: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:38: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(kde.score(Y)),
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:83: RuntimeWarning: underflow encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok
sklearn.neighbors.tests.test_kde.test_kde_score ... ok
sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok
sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.neighbors.tests.test_lof.test_lof ... /usr/lib/python2.7/dist-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
ok
sklearn.neighbors.tests.test_lof.test_lof_performance ... ok
sklearn.neighbors.tests.test_lof.test_lof_values ... ok
Tests LOF with a distance matrix. ... ok
sklearn.neighbors.tests.test_lof.test_n_neighbors_attribute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py:140: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean.
warnings.warn("Averaging for metrics other than "
ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_correct ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok
Tests unsupervised NearestNeighbors with a distance matrix. ... ok
sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok
sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok
Test whether points lying on boundary are handled consistently ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_valid_brute_metric_for_auto_algorithm ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok
sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok
sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok
sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok
sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_boundary_computation ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_similar_point ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(3,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_summarize ... ok
sklearn.neural_network.tests.test_mlp.test_alpha ... ok
sklearn.neural_network.tests.test_mlp.test_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_gradient ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok
sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok
sklearn.neural_network.tests.test_mlp.test_warm_start ... ok
sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok
sklearn.neural_network.tests.test_mlp.test_params_errors ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok
sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok
sklearn.neural_network.tests.test_mlp.test_tolerance ... ok
sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok
sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok
sklearn.neural_network.tests.test_rbm.test_fit ... ok
sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_transform ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok
sklearn.neural_network.tests.test_rbm.test_score_samples ... ok
sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok
sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scale_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok
sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py:484: RuntimeWarning: underflow encountered in nextafter
epsilon = np.nextafter(0, 1)
ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.preprocessing.tests.test_data.test_scaler_int ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok
sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok
sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_iris ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_check_error ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_ignore_zeros ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_dense_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_subsampling ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_bounds ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_and_inverse ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok
sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok
sklearn.preprocessing.tests.test_data.test_normalize ... ok
sklearn.preprocessing.tests.test_data.test_binarizer ... ok
sklearn.preprocessing.tests.test_data.test_center_kernel ... ok
sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.preprocessing.tests.test_data.test_fit_transform ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok
sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_valid_axis ... ok
sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok
sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok
sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:3250: RuntimeWarning: Invalid value encountered in median for 1 results
r = func(a, **kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less
n_negative = np.count_nonzero(data < 0)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2920: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/usr/lib/python2.7/dist-packages/numpy/core/_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok
sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[2., 0., 0.], ... ok
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok
sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_alpha_deprecation ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_spreading_closed_form ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_propagation_closed_form ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py:116: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
Tuu = T_bar[np.meshgrid(unlabelled_idx, unlabelled_idx, indexing='ij')]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py:117: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
Tul = T_bar[np.meshgrid(unlabelled_idx, labelled_idx, indexing='ij')]
ok
sklearn.semi_supervised.tests.test_label_propagation.test_valid_alpha ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_speed ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_warning ... ok
Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok
Test l1_min_c loss='log' dense multi-class no-intercept ... ok
Test l1_min_c loss='log' dense multi-class fit-intercept ... ok
Test l1_min_c loss='log' dense two-classes no-intercept ... ok
Test l1_min_c loss='log' dense two-classes fit-intercept ... ok
Test l1_min_c loss='log' sparse multi-class no-intercept ... ok
Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='log' sparse two-classes no-intercept ... ok
Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok
sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok
sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok
Check that sparse SVC gives the same result as SVC ... ok
sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok
sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok
sklearn.svm.tests.test_sparse.test_svc_iris ... ok
sklearn.svm.tests.test_sparse.test_sparse_decision_function ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:339: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return np.matrix(result, copy=False)
ok
sklearn.svm.tests.test_sparse.test_error ... ok
sklearn.svm.tests.test_sparse.test_linearsvc ... ok
sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok
sklearn.svm.tests.test_sparse.test_weight ... ok
sklearn.svm.tests.test_sparse.test_sample_weights ... ok
sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok
Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok
sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok
sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_sparse.test_timeout ... ok
sklearn.svm.tests.test_sparse.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok
sklearn.svm.tests.test_svm.test_libsvm_iris ... ok
sklearn.svm.tests.test_svm.test_precomputed ... ok
sklearn.svm.tests.test_svm.test_svr ... ok
sklearn.svm.tests.test_svm.test_linearsvr ... ok
sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
sklearn.svm.tests.test_svm.test_oneclass ... ok
sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok
sklearn.svm.tests.test_svm.test_tweak_params ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape ... ok
sklearn.svm.tests.test_svm.test_svr_predict ... ok
sklearn.svm.tests.test_svm.test_weight ... ok
sklearn.svm.tests.test_svm.test_sample_weights ... ok
sklearn.svm.tests.test_svm.test_auto_weight ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
ok
sklearn.svm.tests.test_svm.test_bad_input ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.svm.tests.test_svm.test_unicode_kernel ... ok
sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok
sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok
sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok
sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok
sklearn.svm.tests.test_svm.test_linearsvc ... ok
sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok
sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok
sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok
sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok
sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok
sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok
sklearn.svm.tests.test_svm.test_timeout ... ok
sklearn.svm.tests.test_svm.test_unfitted ... ok
sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ...
optimization finished, #iter = 2
WARNING: reaching max number of iterations
Using -s 2 may be faster (also see FAQ)
Objective value = -0.199093
nSV = 3
ok
sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok
sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok
sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok
sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok
sklearn.svm.tests.test_svm.test_ovr_decision_function ... ok
sklearn.tree.tests.test_export.test_graphviz_toy ... ok
sklearn.tree.tests.test_export.test_graphviz_errors ... ok
sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok
sklearn.tree.tests.test_export.test_precision ... ok
sklearn.tree.tests.test_tree.test_classification_toy ... ok
sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok
sklearn.tree.tests.test_tree.test_regression_toy ... ok
sklearn.tree.tests.test_tree.test_xor ... ok
sklearn.tree.tests.test_tree.test_iris ... ok
sklearn.tree.tests.test_tree.test_boston ... ok
sklearn.tree.tests.test_tree.test_1d_input ... ok
sklearn.tree.tests.test_tree.test_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_arrayrepr ... ok
sklearn.tree.tests.test_tree.test_pure_set ... ok
sklearn.tree.tests.test_tree.test_numerical_stability ... ok
sklearn.tree.tests.test_tree.test_importances ... ok
sklearn.tree.tests.test_tree.test_importances_raises ... ok
sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok
sklearn.tree.tests.test_tree.test_max_features ... ok
sklearn.tree.tests.test_tree.test_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:282: DeprecationWarning: The min_impurity_split parameter is deprecated and will be removed in version 0.21. Use the min_impurity_decrease parameter instead.
DeprecationWarning)
ok
Test min_samples_split parameter ... ok
sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_impurity_split ... ok
sklearn.tree.tests.test_tree.test_min_impurity_decrease ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:868: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_classes_shape ... ok
sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok
sklearn.tree.tests.test_tree.test_memory_layout ... ok
sklearn.tree.tests.test_tree.test_sample_weight ... ok
sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok
sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok
sklearn.tree.tests.test_tree.test_arrays_persist ... ok
sklearn.tree.tests.test_tree.test_only_constant_features ... ok
sklearn.tree.tests.test_tree.test_behaviour_constant_feature_after_splits ... ok
sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok
sklearn.tree.tests.test_tree.test_big_input ... ok
sklearn.tree.tests.test_tree.test_realloc ... ok
sklearn.tree.tests.test_tree.test_huge_allocations ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_mae ... ok
sklearn.tree.tests.test_tree.test_criterion_copy ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_unordered ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok
sklearn.utils.tests.test_deprecation.test_deprecated ... ok
sklearn.utils.tests.test_deprecation.test_is_deprecated ... SKIP: This test will run only on python3.5 and above
sklearn.utils.tests.test_deprecation.test_pickle ... ok
sklearn.utils.tests.test_deprecation.test_deprecationdict ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator_clones ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok
sklearn.utils.tests.test_estimator_checks.test_check_no_fit_attributes_set_in_init ... ok
sklearn.utils.tests.test_extmath.test_density ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
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_randomized_svd_low_rank_all_dtypes(<type 'numpy.int32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.int64'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.float32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.float64'>,) ... ok
sklearn.utils.tests.test_extmath.test_row_norms ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok
sklearn.utils.tests.test_extmath.test_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok
sklearn.utils.tests.test_extmath.test_svd_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok
sklearn.utils.tests.test_extmath.test_cartesian ... ok
sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok
sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_softmax ... ok
sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_masked_array_obj_dtype_pickleable ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok
sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... SKIP: Pandas not found
sklearn.utils.tests.test_multiclass.test_class_distribution ... ok
sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok
sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok
sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok
sklearn.utils.tests.test_optimize.test_newton_cg ... ok
sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok
sklearn.utils.tests.test_random.test_random_choice_csc ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py:191: RuntimeWarning: invalid value encountered in true_divide
np.sum(class_probability_nz))
ok
sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok
sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok
sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok
sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok
sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok
sklearn.utils.tests.test_stats.test_cases ... ok
test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok
test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok
sklearn.utils.tests.test_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_assert_less_equal ... ok
sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok
sklearn.utils.tests.test_testing.test_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_allclose_dense_sparse ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
sklearn.utils.tests.test_testing.test_ignore_warning ... ok
sklearn.utils.tests.test_testing.test_check_docstring_parameters ... SKIP: numpydoc is required to test the docstrings
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_column_or_1d ... ok
sklearn.utils.tests.test_utils.test_safe_indexing ... ok
sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found
sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok
sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok
sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok
sklearn.utils.tests.test_utils.test_gen_even_slices ... ok
sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... 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_pinvh_simple_real ... ok
sklearn.utils.tests.test_validation.test_as_float_array ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py:81: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
np.matrix(np.arange(5)),
ok
sklearn.utils.tests.test_validation.test_np_matrix ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py:96: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
assert_false(isinstance(as_float_array(np.matrix(X)), np.matrix))
ok
sklearn.utils.tests.test_validation.test_memmap ... ok
sklearn.utils.tests.test_validation.test_ordering ... ok
sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok
sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok
sklearn.utils.tests.test_validation.test_check_array ... ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_type_exception ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:393: DeprecationWarning: Passing 'None' to parameter 'accept_sparse' in methods check_array and check_X_y is deprecated in version 0.19 and will be removed in 0.21. Use 'accept_sparse=False' instead.
" instead.", DeprecationWarning)
ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_no_exception ... ok
sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok
sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok
sklearn.utils.tests.test_validation.test_check_symmetric ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.utils.tests.test_validation.test_check_is_fitted ... ok
sklearn.utils.tests.test_validation.test_check_consistent_length ... ok
sklearn.utils.tests.test_validation.test_check_dataframe_fit_attribute ... SKIP: Pandas not found
sklearn.utils.tests.test_validation.test_suppress_validation ... ok
sklearn.utils.tests.test_validation.test_check_memory ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:181: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='cache_directory'", use "location='cache_directory'" instead.
memory = Memory(cachedir=memory, verbose=0)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py:559: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
assert_equal(memory.cachedir, os.path.join('cache_directory', 'joblib'))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py:561: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
assert_equal(memory.cachedir, None)
ok
sklearn.tests.test_base.test_clone ... ok
sklearn.tests.test_base.test_clone_2 ... ok
sklearn.tests.test_base.test_clone_buggy ... ok
sklearn.tests.test_base.test_clone_empty_array ... ok
sklearn.tests.test_base.test_clone_nan ... ok
sklearn.tests.test_base.test_clone_copy_init_params ... ok
sklearn.tests.test_base.test_clone_sparse_matrices ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_base.test_repr ... ok
sklearn.tests.test_base.test_str ... ok
sklearn.tests.test_base.test_get_params ... ok
sklearn.tests.test_base.test_get_params_deprecated ... ok
sklearn.tests.test_base.test_is_classifier ... ok
sklearn.tests.test_base.test_set_params ... ok
sklearn.tests.test_base.test_set_params_passes_all_parameters ... ok
sklearn.tests.test_base.test_score_sample_weight ... ok
sklearn.tests.test_base.test_pickling_works_when_getstate_is_overwritten_in_the_child_class ... ok
sklearn.tests.test_base.test_clone_pandas_dataframe ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_not_raised_with_matching_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_upon_different_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_when_no_version_info_in_pickle ... ok
sklearn.tests.test_base.test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn ... ok
sklearn.tests.test_calibration.test_sample_weight ... ok
Test calibration for multiclass ... ok
Test calibration for prefitted classifiers ... ok
Test calibration values with Platt sigmoid model ... ok
Check calibration_curve function ... ok
Test that calibration can accept nan ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.tests.test_calibration.test_calibration_prob_sum ... ok
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_calibration.test_calibration_less_classes ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... ERROR
Failure: Skipped (could not import 'distributed') ... ERROR
Failure: Skipped (could not import 'distributed') ... ERROR
sklearn.tests.test_common.test_configure ... ok
Failure: Skipped (could not import 'distributed') ... ERROR
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_all_tests_are_importable ... ok
sklearn.tests.test_common.test_import_all_consistency ... ERROR
sklearn.tests.test_config.test_config_context ... ok
sklearn.tests.test_config.test_config_context_exception ... ok
sklearn.tests.test_config.test_set_config ... ok
sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok
sklearn.tests.test_cross_validation.test_kfold_indices ... ok
sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok
sklearn.tests.test_cross_validation.test_kfold_balance ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok
sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok
sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok
sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.tests.test_cross_validation.test_label_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok
sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split ... ok
sklearn.tests.test_cross_validation.train_test_split_pandas ... ok
sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.tests.test_cross_validation.test_permutation_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok
sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok
sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... /usr/lib/python2.7/dist-packages/joblib/parallel.py:268: DeprecationWarning: check_pickle is deprecated in joblib 0.12 and will be removed in 0.13
' removed in 0.13', DeprecationWarning)
ok
sklearn.tests.test_cross_validation.test_cross_val_predict ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok
sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok
sklearn.tests.test_cross_validation.test_check_is_partition ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok
sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok
sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok
sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok
sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok
sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok
sklearn.tests.test_discriminant_analysis.test_lda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... ok
sklearn.tests.test_docstring_parameters.test_docstring_parameters ... SKIP: Not testing docstring parameter consistency
sklearn.tests.test_docstring_parameters.test_tabs ... ERROR
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_stratified_strategy ... ok
sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_uniform_strategy ... ok
sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_string_labels ... ok
sklearn.tests.test_dummy.test_classifier_exceptions ... ok
sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok
sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_regressor_exceptions ... ok
sklearn.tests.test_dummy.test_median_strategy_regressor ... ok
sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_invalid ... ok
sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok
sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok
sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok
sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok
sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok
sklearn.tests.test_dummy.test_classification_sample_weight ... ok
sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok
sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok
sklearn.tests.test_dummy.test_dummy_classifier_on_nan_value ... ok
sklearn.tests.test_dummy.test_dummy_regressor_on_nan_value ... ok
sklearn.tests.test_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_grid_search_score_method ... ok
sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok
sklearn.tests.test_grid_search.test_no_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_error ... ok
sklearn.tests.test_grid_search.test_grid_search_iid ... ok
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
sklearn.tests.test_grid_search.test_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok
sklearn.tests.test_grid_search.test_gridsearch_nd ... ok
sklearn.tests.test_grid_search.test_X_as_list ... ok
sklearn.tests.test_grid_search.test_y_as_list ... ok
sklearn.tests.test_grid_search.test_pandas_input ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok
sklearn.tests.test_grid_search.test_param_sampler ... ok
sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok
sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok
sklearn.tests.test_grid_search.test_pickle ... ok
sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok
sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok
sklearn.tests.test_grid_search.test_grid_search_allows_nans ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok
sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok
sklearn.tests.test_grid_search.test_classes__property ... ok
sklearn.tests.test_init.test_import_skl ... ok
sklearn.tests.test_init.test_import_sklearn_no_warnings ... SKIP: soft-failed test_import_sklearn_no_warnings.
,
from .lbfgsb import _minimize_lbfgsb
from .qhull import *
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py:42: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. This module will be removed in 0.20.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
DeprecationWarning)
sklearn.tests.test_isotonic.test_permutation_invariance ... ok
sklearn.tests.test_isotonic.test_check_increasing_small_number_of_samples ... ok
sklearn.tests.test_isotonic.test_check_increasing_up ... ok
sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok
sklearn.tests.test_isotonic.test_check_increasing_down ... ok
sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok
sklearn.tests.test_isotonic.test_check_ci_warn ... ok
sklearn.tests.test_isotonic.test_isotonic_regression ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok
Test isotonic regression fit, transform and fit_transform ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok
sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok
sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok
sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok
sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok
sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok
sklearn.tests.test_isotonic.test_fast_predict ... ok
sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok
sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok
sklearn.tests.test_kernel_approximation.test_input_validation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_default_parameters ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok
sklearn.tests.test_learning_curve.test_learning_curve ... ok
sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.1s finished
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:1686: FitFailedWarning: Classifier fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
ValueError()
"Details: \n%r" % (error_score, e), FitFailedWarning)
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score_default_raise ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok
sklearn.tests.test_learning_curve.test_validation_curve ... ok
sklearn.tests.test_learning_curve.test_validation_curve_clone_estimator ... ok
sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit_exceptions ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_multiclass.test_ovr_always_present ... ok
sklearn.tests.test_multiclass.test_ovr_multiclass ... ok
sklearn.tests.test_multiclass.test_ovr_binary ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovr_pipeline ... ok
sklearn.tests.test_multiclass.test_ovr_coef_ ... ok
sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok
sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovo_decision_function ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... ok
sklearn.tests.test_multiclass.test_ovo_ties2 ... ok
sklearn.tests.test_multiclass.test_ovo_string_y ... ok
sklearn.tests.test_multiclass.test_ovo_one_class ... ok
sklearn.tests.test_multiclass.test_ovo_float_y ... ok
sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_multiclass.test_ecoc_float_y ... ok
sklearn.tests.test_multiclass.test_pairwise_indices ... ok
sklearn.tests.test_multiclass.test_pairwise_attribute ... ok
sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok
sklearn.tests.test_multioutput.test_multi_target_regression ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok
sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf.
% spmatrix.format)
/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weight_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_parallelism ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit ... ok
sklearn.tests.test_multioutput.test_mutli_output_classifiation_partial_fit_no_first_classes_exception ... ok
sklearn.tests.test_multioutput.test_multi_output_classification ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator_predict_proba ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_logistic_regression ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_linear_svc ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data_and_cv ... ok
sklearn.tests.test_multioutput.test_classifier_chain_random_order ... ok
sklearn.tests.test_multioutput.test_classifier_chain_crossval_fit_and_predict ... ok
sklearn.tests.test_multioutput.test_classifier_chain_vs_independent_models ... ok
sklearn.tests.test_naive_bayes.test_gnb ... ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... ok
Test whether an error is raised in case of negative priors ... ok
Test whether the class prior override is properly used ... ok
Test whether an error is raised if the number of prior is different ... ok
Test if an error is raised if the sum of prior greater than one ... ok
Test if good prediction when class prior favor largely one class ... ok
Test when the partial fit is called without any data ... ok
Test whether an error is raised when the number of feature changes ... ok
sklearn.tests.test_naive_bayes.test_discrete_prior ... ok
sklearn.tests.test_naive_bayes.test_mnnb ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok
sklearn.tests.test_naive_bayes.test_input_check_fit ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok
sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok
sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok
sklearn.tests.test_naive_bayes.test_bnb ... ok
sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok
sklearn.tests.test_naive_bayes.test_alpha ... ok
sklearn.tests.test_pipeline.test_pipeline_init ... ok
sklearn.tests.test_pipeline.test_pipeline_init_tuple ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_supported ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_unsupported ... ok
sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok
sklearn.tests.test_pipeline.test_fit_predict_with_intermediate_fit_params ... ok
sklearn.tests.test_pipeline.test_feature_union ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_make_union_kwargs ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok
sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok
sklearn.tests.test_pipeline.test_pipeline_named_steps ... ok
sklearn.tests.test_pipeline.test_set_pipeline_step_none ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py:204: DeprecationWarning: The 'cachedir' attribute has been deprecated in version 0.12 and will be removed in version 0.14.
Use os.path.join(memory.location, 'joblib') attribute instead.
if hasattr(memory, 'cachedir') and memory.cachedir is None:
ok
sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok
sklearn.tests.test_pipeline.test_make_pipeline ... ok
sklearn.tests.test_pipeline.test_feature_union_weights ... ok
sklearn.tests.test_pipeline.test_feature_union_parallel ... /usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py:68: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
ok
sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok
sklearn.tests.test_pipeline.test_classes_property ... ok
sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok
sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok
sklearn.tests.test_pipeline.test_step_name_validation ... ok
sklearn.tests.test_pipeline.test_set_params_nested_pipeline ... ok
sklearn.tests.test_pipeline.test_pipeline_wrong_memory ... ok
sklearn.tests.test_pipeline.test_pipeline_with_cache_attribute ... ok
sklearn.tests.test_pipeline.test_pipeline_memory ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py:922: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='/tmp/tmp7Cdwdb'", use "location='/tmp/tmp7Cdwdb'" instead.
memory = Memory(cachedir=cachedir, verbose=10)
ok
sklearn.tests.test_pipeline.test_make_pipeline_memory ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py:980: DeprecationWarning: The 'cachedir' parameter has been deprecated in version 0.12 and will be removed in version 0.14.
You provided "cachedir='/tmp/tmpaU9u60'", use "location='/tmp/tmpaU9u60'" instead.
memory = Memory(cachedir=cachedir)
ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb35585b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb35585b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb35585b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3558570>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3558570>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb3558570>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb35585b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function <lambda> at 0xb0054370>,) ... ok
sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok
sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok
sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok
sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok
sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok
sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok
sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok
sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok
sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok
======================================================================
ERROR: sklearn.tests.test_common.test_all_estimator_no_base_class
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py", line 39, in test_all_estimator_no_base_class
for name, Estimator in all_estimators():
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 587, in all_estimators
module = __import__(modname, fromlist="dummy")
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
ERROR: Failure: Skipped (could not import 'distributed')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 251, in generate
for test in g():
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py", line 48, in test_all_estimators
estimators = all_estimators(include_meta_estimators=True)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 587, in all_estimators
module = __import__(modname, fromlist="dummy")
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
ERROR: Failure: Skipped (could not import 'distributed')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 251, in generate
for test in g():
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py", line 62, in test_non_meta_estimators
estimators = all_estimators()
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 587, in all_estimators
module = __import__(modname, fromlist="dummy")
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
ERROR: Failure: Skipped (could not import 'distributed')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 251, in generate
for test in g():
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py", line 106, in test_class_weight_balanced_linear_classifiers
classifiers = all_estimators(type_filter='classifier')
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 587, in all_estimators
module = __import__(modname, fromlist="dummy")
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
ERROR: sklearn.tests.test_common.test_import_all_consistency
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 291, in wrapper
return fn(*args, **kwargs)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py", line 131, in test_import_all_consistency
package = __import__(modname, fromlist="dummy")
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
ERROR: sklearn.tests.test_docstring_parameters.test_tabs
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 291, in wrapper
return fn(*args, **kwargs)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_docstring_parameters.py", line 143, in test_tabs
mod = importlib.import_module(modname)
File "/usr/lib/python2.7/importlib/__init__.py", line 37, in import_module
__import__(name)
File "/usr/lib/python2.7/dist-packages/joblib/test/test_dask.py", line 12, in <module>
distributed = pytest.importorskip('distributed')
File "/usr/lib/python2.7/dist-packages/_pytest/outcomes.py", line 138, in importorskip
raise Skipped("could not import %r" % (modname,), allow_module_level=True)
Skipped: could not import 'distributed'
======================================================================
FAIL: Test that it gives proper exception on deficient input.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py", line 108, in test_iforest_error
assert_no_warnings(IsolationForest(max_samples='auto').fit, X)
File "/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py", line 229, in assert_no_warnings
', '.join(str(warning) for warning in w)))
AssertionError: Got warnings when calling fit: [{message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : PendingDeprecationWarning('the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.',), category : 'PendingDeprecationWarning', filename : '/usr/lib/python2.7/dist-packages/numpy/matrixlib/defmatrix.py', lineno : 68, line : None}, {message : FutureWarning('Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.',), category : 'FutureWarning', filename : '/usr/lib/python2.7/dist-packages/scipy/stats/stats.py', lineno : 1713, line : None}]
----------------------------------------------------------------------
Ran 3890 tests in 2630.291s
FAILED (SKIP=27, errors=6, failures=1)
make[1]: *** [debian/rules:89: python-test2.7] Error 1
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
make: *** [debian/rules:42: binary-arch] Error 2
dpkg-buildpackage: error: fakeroot debian/rules binary-arch subprocess returned exit status 2
--------------------------------------------------------------------------------
Build finished at 2018-12-21T21:28:09Z
Finished
--------
+------------------------------------------------------------------------------+
| Cleanup |
+------------------------------------------------------------------------------+
Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
E: Build failure (dpkg-buildpackage died)
+------------------------------------------------------------------------------+
| Summary |
+------------------------------------------------------------------------------+
Build Architecture: armhf
Build-Space: 0
Build-Time: 9768
Distribution: buster-staging
Fail-Stage: build
Host Architecture: armhf
Install-Time: 1329
Job: scikit-learn_0.19.2-1
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 11156
Source-Version: 0.19.2-1
Space: 0
Status: failed
Version: 0.19.2-1+b1
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Finished at 2018-12-21T21:28:09Z
Build needed 00:00:00, 0k disc space