travis_fold:start:worker_info
Worker information
hostname: b373a8b3-0cf8-4c6a-a481-8c5607c1e9c6@1.worker-org-79f7449b7b-smvjr.gce-production-1
version: v6.2.1 https://github.com/travis-ci/worker/tree/4e3246c044eb4915c2378ffacd0b3d3ed0136bba
instance: travis-job-b8f4b078-77f8-4b6a-96ae-2fa1c359945a travis-ci-garnet-trusty-1512502259-986baf0 (via amqp)
startup: 6.401597499s
travis_fold:end:worker_info
travis_fold:start:system_info
Build system information
Build language: python
Build group: stable
Build dist: trusty
Build id: 562444501
Job id: 562444502
Runtime kernel version: 4.4.0-101-generic
travis-build version: 24c88d12b
Build image provisioning date and time
Tue Dec 5 19:58:13 UTC 2017
Operating System Details
Distributor ID: Ubuntu
Description: Ubuntu 14.04.5 LTS
Release: 14.04
Codename: trusty
Cookbooks Version
7c2c6a6 https://github.com/travis-ci/travis-cookbooks/tree/7c2c6a6
git version
git version 2.15.1
bash version
GNU bash, version 4.3.11(1)-release (x86_64-pc-linux-gnu)
gcc version
gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4
Copyright (C) 2013 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
docker version
Client:
Version: 17.09.0-ce
API version: 1.32
Go version: go1.8.3
Git commit: afdb6d4
Built: Tue Sep 26 22:42:38 2017
OS/Arch: linux/amd64
Server:
Version: 17.09.0-ce
API version: 1.32 (minimum version 1.12)
Go version: go1.8.3
Git commit: afdb6d4
Built: Tue Sep 26 22:41:20 2017
OS/Arch: linux/amd64
Experimental: false
clang version
clang version 5.0.0 (tags/RELEASE_500/final)
Target: x86_64-unknown-linux-gnu
Thread model: posix
InstalledDir: /usr/local/clang-5.0.0/bin
jq version
jq-1.5
bats version
Bats 0.4.0
shellcheck version
0.4.6
shfmt version
v2.0.0
ccache version
ccache version 3.1.9
Copyright (C) 2002-2007 Andrew Tridgell
Copyright (C) 2009-2011 Joel Rosdahl
This program is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation; either version 3 of the License, or (at your option) any later
version.
cmake version
cmake version 3.9.2
CMake suite maintained and supported by Kitware (kitware.com/cmake).
heroku version
heroku-cli/6.14.39-addc925 (linux-x64) node-v9.2.0
imagemagick version
Version: ImageMagick 6.7.7-10 2017-07-31 Q16 http://www.imagemagick.org
md5deep version
4.2
mercurial version
Mercurial Distributed SCM (version 4.2.2)
(see https://mercurial-scm.org for more information)
Copyright (C) 2005-2017 Matt Mackall and others
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
mysql version
mysql Ver 14.14 Distrib 5.6.33, for debian-linux-gnu (x86_64) using EditLine wrapper
openssl version
OpenSSL 1.0.1f 6 Jan 2014
packer version
Packer v1.0.2
Your version of Packer is out of date! The latest version
is 1.1.2. You can update by downloading from www.packer.io
postgresql client version
psql (PostgreSQL) 9.6.6
ragel version
Ragel State Machine Compiler version 6.8 Feb 2013
Copyright (c) 2001-2009 by Adrian Thurston
subversion version
svn, version 1.8.8 (r1568071)
compiled Aug 10 2017, 17:20:39 on x86_64-pc-linux-gnu
Copyright (C) 2013 The Apache Software Foundation.
This software consists of contributions made by many people;
see the NOTICE file for more information.
Subversion is open source software, see http://subversion.apache.org/
The following repository access (RA) modules are available:
* ra_svn : Module for accessing a repository using the svn network protocol.
- with Cyrus SASL authentication
- handles 'svn' scheme
* ra_local : Module for accessing a repository on local disk.
- handles 'file' scheme
* ra_serf : Module for accessing a repository via WebDAV protocol using serf.
- using serf 1.3.3
- handles 'http' scheme
- handles 'https' scheme
sudo version
Sudo version 1.8.9p5
Configure options: --prefix=/usr -v --with-all-insults --with-pam --with-fqdn --with-logging=syslog --with-logfac=authpriv --with-env-editor --with-editor=/usr/bin/editor --with-timeout=15 --with-password-timeout=0 --with-passprompt=[sudo] password for %p: --without-lecture --with-tty-tickets --disable-root-mailer --enable-admin-flag --with-sendmail=/usr/sbin/sendmail --with-timedir=/var/lib/sudo --mandir=/usr/share/man --libexecdir=/usr/lib/sudo --with-sssd --with-sssd-lib=/usr/lib/x86_64-linux-gnu --with-selinux
Sudoers policy plugin version 1.8.9p5
Sudoers file grammar version 43
Sudoers path: /etc/sudoers
Authentication methods: 'pam'
Syslog facility if syslog is being used for logging: authpriv
Syslog priority to use when user authenticates successfully: notice
Syslog priority to use when user authenticates unsuccessfully: alert
Send mail if the user is not in sudoers
Use a separate timestamp for each user/tty combo
Lecture user the first time they run sudo
Root may run sudo
Allow some information gathering to give useful error messages
Require fully-qualified hostnames in the sudoers file
Visudo will honor the EDITOR environment variable
Set the LOGNAME and USER environment variables
Length at which to wrap log file lines (0 for no wrap): 80
Authentication timestamp timeout: 15.0 minutes
Password prompt timeout: 0.0 minutes
Number of tries to enter a password: 3
Umask to use or 0777 to use user's: 022
Path to mail program: /usr/sbin/sendmail
Flags for mail program: -t
Address to send mail to: root
Subject line for mail messages: *** SECURITY information for %h ***
Incorrect password message: Sorry, try again.
Path to authentication timestamp dir: /var/lib/sudo
Default password prompt: [sudo] password for %p:
Default user to run commands as: root
Value to override user's $PATH with: /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin
Path to the editor for use by visudo: /usr/bin/editor
When to require a password for 'list' pseudocommand: any
When to require a password for 'verify' pseudocommand: all
File descriptors >= 3 will be closed before executing a command
Environment variables to check for sanity:
TZ
TERM
LINGUAS
LC_*
LANGUAGE
LANG
COLORTERM
Environment variables to remove:
RUBYOPT
RUBYLIB
PYTHONUSERBASE
PYTHONINSPECT
PYTHONPATH
PYTHONHOME
TMPPREFIX
ZDOTDIR
READNULLCMD
NULLCMD
FPATH
PERL5DB
PERL5OPT
PERL5LIB
PERLLIB
PERLIO_DEBUG
JAVA_TOOL_OPTIONS
SHELLOPTS
GLOBIGNORE
PS4
BASH_ENV
ENV
TERMCAP
TERMPATH
TERMINFO_DIRS
TERMINFO
_RLD*
LD_*
PATH_LOCALE
NLSPATH
HOSTALIASES
RES_OPTIONS
LOCALDOMAIN
CDPATH
IFS
Environment variables to preserve:
JAVA_HOME
TRAVIS
CI
DEBIAN_FRONTEND
XAUTHORIZATION
XAUTHORITY
PS2
PS1
PATH
LS_COLORS
KRB5CCNAME
HOSTNAME
HOME
DISPLAY
COLORS
Locale to use while parsing sudoers: C
Directory in which to store input/output logs: /var/log/sudo-io
File in which to store the input/output log: %{seq}
Add an entry to the utmp/utmpx file when allocating a pty
PAM service name to use
PAM service name to use for login shells
Create a new PAM session for the command to run in
Maximum I/O log sequence number: 0
Local IP address and netmask pairs:
10.240.0.28/255.255.255.255
172.17.0.1/255.255.0.0
Sudoers I/O plugin version 1.8.9p5
gzip version
gzip 1.6
Copyright (C) 2007, 2010, 2011 Free Software Foundation, Inc.
Copyright (C) 1993 Jean-loup Gailly.
This is free software. You may redistribute copies of it under the terms of
the GNU General Public License <http://www.gnu.org/licenses/gpl.html>.
There is NO WARRANTY, to the extent permitted by law.
Written by Jean-loup Gailly.
zip version
Copyright (c) 1990-2008 Info-ZIP - Type 'zip "-L"' for software license.
This is Zip 3.0 (July 5th 2008), by Info-ZIP.
Currently maintained by E. Gordon. Please send bug reports to
the authors using the web page at www.info-zip.org; see README for details.
Latest sources and executables are at ftp://ftp.info-zip.org/pub/infozip,
as of above date; see http://www.info-zip.org/ for other sites.
Compiled with gcc 4.8.2 for Unix (Linux ELF) on Oct 21 2013.
Zip special compilation options:
USE_EF_UT_TIME (store Universal Time)
BZIP2_SUPPORT (bzip2 library version 1.0.6, 6-Sept-2010)
bzip2 code and library copyright (c) Julian R Seward
(See the bzip2 license for terms of use)
SYMLINK_SUPPORT (symbolic links supported)
LARGE_FILE_SUPPORT (can read and write large files on file system)
ZIP64_SUPPORT (use Zip64 to store large files in archives)
UNICODE_SUPPORT (store and read UTF-8 Unicode paths)
STORE_UNIX_UIDs_GIDs (store UID/GID sizes/values using new extra field)
UIDGID_NOT_16BIT (old Unix 16-bit UID/GID extra field not used)
[encryption, version 2.91 of 05 Jan 2007] (modified for Zip 3)
Encryption notice:
The encryption code of this program is not copyrighted and is
put in the public domain. It was originally written in Europe
and, to the best of our knowledge, can be freely distributed
in both source and object forms from any country, including
the USA under License Exception TSU of the U.S. Export
Administration Regulations (section 740.13(e)) of 6 June 2002.
Zip environment options:
ZIP: [none]
ZIPOPT: [none]
vim version
VIM - Vi IMproved 7.4 (2013 Aug 10, compiled Nov 24 2016 16:43:18)
Included patches: 1-52
Extra patches: 8.0.0056
Modified by pkg-vim-maintainers@lists.alioth.debian.org
Compiled by buildd@
Huge version without GUI. Features included (+) or not (-):
+acl +farsi +mouse_netterm +syntax
+arabic +file_in_path +mouse_sgr +tag_binary
+autocmd +find_in_path -mouse_sysmouse +tag_old_static
-balloon_eval +float +mouse_urxvt -tag_any_white
-browse +folding +mouse_xterm -tcl
++builtin_terms -footer +multi_byte +terminfo
+byte_offset +fork() +multi_lang +termresponse
+cindent +gettext -mzscheme +textobjects
-clientserver -hangul_input +netbeans_intg +title
-clipboard +iconv +path_extra -toolbar
+cmdline_compl +insert_expand -perl +user_commands
+cmdline_hist +jumplist +persistent_undo +vertsplit
+cmdline_info +keymap +postscript +virtualedit
+comments +langmap +printer +visual
+conceal +libcall +profile +visualextra
+cryptv +linebreak +python +viminfo
+cscope +lispindent -python3 +vreplace
+cursorbind +listcmds +quickfix +wildignore
+cursorshape +localmap +reltime +wildmenu
+dialog_con -lua +rightleft +windows
+diff +menu -ruby +writebackup
+digraphs +mksession +scrollbind -X11
-dnd +modify_fname +signs -xfontset
-ebcdic +mouse +smartindent -xim
+emacs_tags -mouseshape -sniff -xsmp
+eval +mouse_dec +startuptime -xterm_clipboard
+ex_extra +mouse_gpm +statusline -xterm_save
+extra_search -mouse_jsbterm -sun_workshop -xpm
system vimrc file: "$VIM/vimrc"
user vimrc file: "$HOME/.vimrc"
2nd user vimrc file: "~/.vim/vimrc"
user exrc file: "$HOME/.exrc"
fall-back for $VIM: "/usr/share/vim"
Compilation: gcc -c -I. -Iproto -DHAVE_CONFIG_H -g -O2 -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security -U_FORTIFY_SOURCE -D_FORTIFY_SOURCE=1
Linking: gcc -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,--as-needed -o vim -lm -ltinfo -lnsl -lselinux -lacl -lattr -lgpm -ldl -L/usr/lib/python2.7/config-x86_64-linux-gnu -lpython2.7 -lpthread -ldl -lutil -lm -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
iptables version
iptables v1.4.21
curl version
curl 7.35.0 (x86_64-pc-linux-gnu) libcurl/7.35.0 OpenSSL/1.0.1f zlib/1.2.8 libidn/1.28 librtmp/2.3
wget version
GNU Wget 1.15 built on linux-gnu.
rsync version
rsync version 3.1.0 protocol version 31
gimme version
v1.2.0
nvm version
0.33.6
perlbrew version
/home/travis/perl5/perlbrew/bin/perlbrew - App::perlbrew/0.80
phpenv version
rbenv 1.1.1-25-g6aa70b6
rvm version
rvm 1.29.3 (latest) by Michal Papis, Piotr Kuczynski, Wayne E. Seguin [https://rvm.io]
default ruby version
ruby 2.4.1p111 (2017-03-22 revision 58053) [x86_64-linux]
CouchDB version
couchdb 1.6.1
ElasticSearch version
5.5.0
Installed Firefox version
firefox 56.0.2
MongoDB version
MongoDB 3.4.10
PhantomJS version
2.1.1
Pre-installed PostgreSQL versions
9.2.24
9.3.20
9.4.15
9.5.10
9.6.6
RabbitMQ Version
3.6.14
Redis version
redis-server 4.0.6
riak version
2.2.3
Pre-installed Go versions
1.7.4
ant version
Apache Ant(TM) version 1.9.3 compiled on April 8 2014
mvn version
Apache Maven 3.5.2 (138edd61fd100ec658bfa2d307c43b76940a5d7d; 2017-10-18T07:58:13Z)
Maven home: /usr/local/maven-3.5.2
Java version: 1.8.0_151, vendor: Oracle Corporation
Java home: /usr/lib/jvm/java-8-oracle/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "4.4.0-98-generic", arch: "amd64", family: "unix"
gradle version
------------------------------------------------------------
Gradle 4.0.1
------------------------------------------------------------
Build time: 2017-07-07 14:02:41 UTC
Revision: 38e5dc0f772daecca1d2681885d3d85414eb6826
Groovy: 2.4.11
Ant: Apache Ant(TM) version 1.9.6 compiled on June 29 2015
JVM: 1.8.0_151 (Oracle Corporation 25.151-b12)
OS: Linux 4.4.0-98-generic amd64
lein version
Leiningen 2.8.1 on Java 1.8.0_151 Java HotSpot(TM) 64-Bit Server VM
Pre-installed Node.js versions
v4.8.6
v6.12.0
v6.12.1
v8.9
v8.9.1
phpenv versions
system
5.6
* 5.6.32 (set by /home/travis/.phpenv/version)
7.0
7.0.25
7.1
7.1.11
hhvm
hhvm-stable
composer --version
Composer version 1.5.2 2017-09-11 16:59:25
Pre-installed Ruby versions
ruby-2.2.7
ruby-2.3.4
ruby-2.4.1
travis_fold:end:system_info
travis_fold:start:docker_mtu
docker stop/waiting
docker start/running, process 3671
travis_fold:end:docker_mtu
travis_fold:start:resolvconf
resolvconf stop/waiting
resolvconf start/running
travis_fold:end:resolvconf
travis_fold:start:apt
Installing APT Packages
travis_time:start:038e1980
$ travis_apt_get_update
travis_time:end:038e1980:start=1563865702375273403,finish=1563865709709637743,duration=7334364340
travis_time:start:2ffe6d64
$ sudo -E apt-get -yq --no-install-suggests --no-install-recommends $(travis_apt_get_options) install python-scipy libatlas3-base libatlas-dev
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
cpp-4.8 g++-4.8 gcc-4.8 gcc-4.8-base libamd2.3.1 libasan0 libatomic1
libblas-dev libblas3 libcamd2.3.1 libccolamd2.8.0 libcholmod2.1.2
libcolamd2.8.0 libgcc-4.8-dev libgfortran3 libgomp1 libitm1 libquadmath0
libstdc++-4.8-dev libstdc++6 libtsan0 libumfpack5.6.2 python-decorator
python-numpy
Suggested packages:
gcc-4.8-locales g++-4.8-multilib gcc-4.8-doc libstdc++6-4.8-dbg
gcc-4.8-multilib libgcc1-dbg libgomp1-dbg libitm1-dbg libatomic1-dbg
libasan0-dbg libtsan0-dbg libquadmath0-dbg liblapack-dev liblapack-doc
liblapack3 libstdc++-4.8-doc gfortran python-nose python-numpy-dbg
python-numpy-doc
Recommended packages:
python-imaging
The following NEW packages will be installed:
libamd2.3.1 libatlas-dev libatlas3-base libblas-dev libblas3 libcamd2.3.1
libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libgfortran3 libumfpack5.6.2
python-decorator python-numpy python-scipy
The following packages will be upgraded:
cpp-4.8 g++-4.8 gcc-4.8 gcc-4.8-base libasan0 libatomic1 libgcc-4.8-dev
libgomp1 libitm1 libquadmath0 libstdc++-4.8-dev libstdc++6 libtsan0
13 upgraded, 14 newly installed, 0 to remove and 291 not upgraded.
Need to get 44.3 MB of archives.
After this operation, 61.1 MB of additional disk space will be used.
Get:1 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libatomic1 amd64 4.8.4-2ubuntu1~14.04.4 [8,630 B]
Get:2 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libitm1 amd64 4.8.4-2ubuntu1~14.04.4 [28.6 kB]
Get:3 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgomp1 amd64 4.8.4-2ubuntu1~14.04.4 [23.1 kB]
Get:4 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libasan0 amd64 4.8.4-2ubuntu1~14.04.4 [63.1 kB]
Get:5 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libtsan0 amd64 4.8.4-2ubuntu1~14.04.4 [94.8 kB]
Get:6 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libquadmath0 amd64 4.8.4-2ubuntu1~14.04.4 [126 kB]
Get:7 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 g++-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [18.0 MB]
Get:8 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 gcc-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [5,040 kB]
Get:9 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 cpp-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [4,452 kB]
Get:10 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libstdc++-4.8-dev amd64 4.8.4-2ubuntu1~14.04.4 [1,051 kB]
Get:11 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgcc-4.8-dev amd64 4.8.4-2ubuntu1~14.04.4 [1,688 kB]
Get:12 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 gcc-4.8-base amd64 4.8.4-2ubuntu1~14.04.4 [16.7 kB]
Get:13 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libstdc++6 amd64 4.8.4-2ubuntu1~14.04.4 [260 kB]
Get:14 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libamd2.3.1 amd64 1:4.2.1-3ubuntu1 [23.5 kB]
Get:15 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcamd2.3.1 amd64 1:4.2.1-3ubuntu1 [21.9 kB]
Get:16 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libccolamd2.8.0 amd64 1:4.2.1-3ubuntu1 [23.3 kB]
Get:17 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libblas3 amd64 1.2.20110419-7 [215 kB]
Get:18 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgfortran3 amd64 4.8.4-2ubuntu1~14.04.4 [248 kB]
Get:19 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 libatlas3-base amd64 3.10.1-4 [2,677 kB]
Get:20 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcolamd2.8.0 amd64 1:4.2.1-3ubuntu1 [17.7 kB]
Get:21 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcholmod2.1.2 amd64 1:4.2.1-3ubuntu1 [281 kB]
Get:22 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libumfpack5.6.2 amd64 1:4.2.1-3ubuntu1 [214 kB]
Get:23 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libblas-dev amd64 1.2.20110419-7 [240 kB]
Get:24 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 libatlas-dev all 3.10.1-4 [22.7 kB]
Get:25 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 python-decorator all 3.4.0-2build1 [19.2 kB]
Get:26 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 python-numpy amd64 1:1.8.2-0ubuntu0.1 [1,603 kB]
Get:27 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 python-scipy amd64 0.13.3-1build1 [7,862 kB]
Fetched 44.3 MB in 1s (40.7 MB/s)
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(Reading database ... 93695 files and directories currently installed.)
Preparing to unpack .../libatomic1_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libatomic1:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
Preparing to unpack .../libitm1_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libitm1:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
Preparing to unpack .../libgomp1_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libgomp1:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
Preparing to unpack .../libasan0_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libasan0:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
Preparing to unpack .../libtsan0_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libtsan0:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
Preparing to unpack .../libquadmath0_4.8.4-2ubuntu1~14.04.4_amd64.deb ...
Unpacking libquadmath0:amd64 (4.8.4-2ubuntu1~14.04.4) over (4.8.4-2ubuntu1~14.04.3) ...
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Setting up libtsan0:amd64 (4.8.4-2ubuntu1~14.04.4) ...
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Setting up g++-4.8 (4.8.4-2ubuntu1~14.04.4) ...
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Setting up libccolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ...
Setting up libblas3 (1.2.20110419-7) ...
update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode
Setting up libgfortran3:amd64 (4.8.4-2ubuntu1~14.04.4) ...
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update-alternatives: using /usr/lib/atlas-base/atlas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode
update-alternatives: using /usr/lib/atlas-base/atlas/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode
Setting up libcolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ...
Setting up libcholmod2.1.2:amd64 (1:4.2.1-3ubuntu1) ...
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Setting up libblas-dev (1.2.20110419-7) ...
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Setting up libatlas-dev (3.10.1-4) ...
Setting up python-decorator (3.4.0-2build1) ...
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travis_time:end:2ffe6d64:start=1563865709713129692,finish=1563865720583231496,duration=10870101804
travis_fold:end:apt
travis_fold:start:git.checkout
travis_time:start:00dc6fbf
$ git clone --depth=50 https://github.com/scikit-learn/scikit-learn.git scikit-learn/scikit-learn
Cloning into 'scikit-learn/scikit-learn'...
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remote: Compressing objects: 100% (1468/1468), done.
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remote: Total 1762 (delta 420), reused 734 (delta 277), pack-reused 0
Receiving objects: 87% (1533/1762)
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Receiving objects: 100% (1762/1762), 6.56 MiB | 18.60 MiB/s, done.
Resolving deltas: 0% (0/420)
Resolving deltas: 1% (6/420)
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Resolving deltas: 22% (93/420)
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Resolving deltas: 26% (110/420)
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Resolving deltas: 30% (126/420)
Resolving deltas: 31% (131/420)
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Resolving deltas: 33% (139/420)
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Resolving deltas: 39% (164/420)
Resolving deltas: 49% (209/420)
Resolving deltas: 51% (217/420)
Resolving deltas: 52% (219/420)
Resolving deltas: 53% (225/420)
Resolving deltas: 54% (227/420)
Resolving deltas: 55% (231/420)
Resolving deltas: 56% (236/420)
Resolving deltas: 57% (240/420)
Resolving deltas: 58% (244/420)
Resolving deltas: 59% (249/420)
Resolving deltas: 60% (252/420)
Resolving deltas: 61% (257/420)
Resolving deltas: 62% (263/420)
Resolving deltas: 63% (267/420)
Resolving deltas: 64% (270/420)
Resolving deltas: 65% (273/420)
Resolving deltas: 66% (278/420)
Resolving deltas: 67% (283/420)
Resolving deltas: 69% (290/420)
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Resolving deltas: 73% (310/420)
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Resolving deltas: 76% (320/420)
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Resolving deltas: 78% (328/420)
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Resolving deltas: 81% (341/420)
Resolving deltas: 82% (346/420)
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Resolving deltas: 98% (412/420)
Resolving deltas: 99% (416/420)
Resolving deltas: 100% (420/420)
Resolving deltas: 100% (420/420), done.
travis_time:end:00dc6fbf:start=1563865720587027940,finish=1563865723216294928,duration=2629266988
$ cd scikit-learn/scikit-learn
travis_time:start:1702b16c
$ git fetch origin +refs/pull/14443/merge:
remote: Enumerating objects: 155507, done.
remote: Counting objects: 0% (1/155506)
remote: Counting objects: 1% (1556/155506)
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remote: Counting objects: 100% (155506/155506)
remote: Counting objects: 100% (155506/155506), done.
remote: Compressing objects: 0% (1/37822)
remote: Compressing objects: 1% (379/37822)
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remote: Compressing objects: 100% (37822/37822)
remote: Compressing objects: 100% (37822/37822), done.
Receiving objects: 0% (1/154617)
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Receiving objects: 25% (38655/154617), 8.83 MiB | 17.65 MiB/s
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Receiving objects: 34% (52570/154617), 20.36 MiB | 20.36 MiB/s
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Receiving objects: 38% (58755/154617), 20.36 MiB | 20.36 MiB/s
Receiving objects: 39% (60301/154617), 20.36 MiB | 20.36 MiB/s
Receiving objects: 40% (61847/154617), 20.36 MiB | 20.36 MiB/s
Receiving objects: 41% (63393/154617), 20.36 MiB | 20.36 MiB/s
Receiving objects: 42% (64940/154617), 20.36 MiB | 20.36 MiB/s
Receiving objects: 43% (66486/154617), 33.18 MiB | 22.11 MiB/s
Receiving objects: 44% (68032/154617), 33.18 MiB | 22.11 MiB/s
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Receiving objects: 47% (72670/154617), 33.18 MiB | 22.11 MiB/s
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Receiving objects: 52% (80952/154617), 45.76 MiB | 22.88 MiB/s
Receiving objects: 53% (81948/154617), 45.76 MiB | 22.88 MiB/s
Receiving objects: 54% (83494/154617), 59.04 MiB | 23.62 MiB/s
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Receiving objects: 58% (89678/154617), 59.04 MiB | 23.62 MiB/s
Receiving objects: 59% (91225/154617), 59.04 MiB | 23.62 MiB/s
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Receiving objects: 71% (109779/154617), 59.04 MiB | 23.62 MiB/s
Receiving objects: 72% (111325/154617), 59.04 MiB | 23.62 MiB/s
Receiving objects: 72% (112640/154617), 59.04 MiB | 23.62 MiB/s
Receiving objects: 73% (112871/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 74% (114417/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 75% (115963/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 76% (117509/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 77% (119056/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 78% (120602/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 79% (122148/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 80% (123694/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 81% (125240/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 82% (126786/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 83% (128333/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 84% (129879/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 85% (131425/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 86% (132971/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 87% (134517/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 88% (136063/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 89% (137610/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 90% (139156/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 91% (140702/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 92% (142248/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 93% (143794/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 94% (145340/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 95% (146887/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 96% (148433/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 97% (149979/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 98% (151525/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 99% (153071/154617), 72.79 MiB | 24.26 MiB/s
remote: Total 154617 (delta 117705), reused 152932 (delta 116023), pack-reused 0
Receiving objects: 100% (154617/154617), 72.79 MiB | 24.26 MiB/s
Receiving objects: 100% (154617/154617), 83.06 MiB | 24.52 MiB/s, done.
Resolving deltas: 0% (0/117705)
Resolving deltas: 1% (1184/117705)
Resolving deltas: 2% (2375/117705)
Resolving deltas: 3% (3539/117705)
Resolving deltas: 4% (4711/117705)
Resolving deltas: 5% (5988/117705)
Resolving deltas: 6% (7219/117705)
Resolving deltas: 7% (8241/117705)
Resolving deltas: 8% (9556/117705)
Resolving deltas: 9% (10601/117705)
Resolving deltas: 10% (11786/117705)
Resolving deltas: 11% (12970/117705)
Resolving deltas: 12% (14342/117705)
Resolving deltas: 13% (15326/117705)
Resolving deltas: 14% (16547/117705)
Resolving deltas: 15% (17666/117705)
Resolving deltas: 16% (18984/117705)
Resolving deltas: 17% (20015/117705)
Resolving deltas: 18% (21781/117705)
Resolving deltas: 19% (22365/117705)
Resolving deltas: 20% (23551/117705)
Resolving deltas: 21% (25763/117705)
Resolving deltas: 22% (25956/117705)
Resolving deltas: 23% (27238/117705)
Resolving deltas: 24% (28314/117705)
Resolving deltas: 25% (29472/117705)
Resolving deltas: 26% (30628/117705)
Resolving deltas: 27% (31882/117705)
Resolving deltas: 28% (32962/117705)
Resolving deltas: 29% (34147/117705)
Resolving deltas: 30% (35431/117705)
Resolving deltas: 31% (36754/117705)
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From https://github.com/scikit-learn/scikit-learn
* branch refs/pull/14443/merge -> FETCH_HEAD
travis_time:end:1702b16c:start=1563865723220034533,finish=1563865737446911849,duration=14226877316
$ git checkout -qf FETCH_HEAD
travis_fold:end:git.checkout
Setting environment variables from .travis.yml
$ export TEST_DIR=/tmp/sklearn
$ export OMP_NUM_THREADS=4
$ export OPENBLAS_NUM_THREADS=4
$ export DISTRIB="ubuntu"
$ export PYTHON_VERSION="2.7"
$ export CYTHON_VERSION="0.23.5"
$ export COVERAGE=true
travis_time:start:084c400c
$ source ~/virtualenv/python3.6/bin/activate
travis_time:end:084c400c:start=1563865737622709700,finish=1563865737627814325,duration=5104625
travis_fold:start:cache.1
Setting up build cache
$ export CASHER_DIR=${TRAVIS_HOME}/.casher
travis_time:start:0b0a2b16
$ Installing caching utilities
travis_time:end:0b0a2b16:start=1563865742079900145,finish=1563865742220541103,duration=140640958
travis_time:start:1514bb6c
travis_time:end:1514bb6c:start=1563865742225397221,finish=1563865742227977614,duration=2580393
travis_time:start:0207f7b0
attempting to download cache archive
fetching PR.14443/cache-linux-trusty-1509ff738231c6497afa89d7c87c29cd358e9a57ea907ba2ecae102489b400c4--python-3.6.tgz
found cache
travis_time:end:0207f7b0:start=1563865742231048266,finish=1563865744392273385,duration=2161225119
travis_time:start:103611ec
travis_time:end:103611ec:start=1563865744396151764,finish=1563865744398916138,duration=2764374
travis_time:start:174c7bc0
adding /home/travis/.cache/pip to cache
adding /home/travis/.ccache to cache
travis_time:end:174c7bc0:start=1563865744402269300,finish=1563865746154743573,duration=1752474273
travis_fold:end:cache.1
$ python --version
Python 3.6.3
$ pip --version
pip 9.0.1 from /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages (python 3.6)
travis_fold:start:install
travis_time:start:2d374ed4
$ source build_tools/travis/install.sh
+++echo 'List files from cached directories'
List files from cached directories
+++echo pip:
pip:
+++ls /home/travis/.cache/pip
http wheels
+++export CC=/usr/lib/ccache/gcc
+++CC=/usr/lib/ccache/gcc
+++export CXX=/usr/lib/ccache/g++
+++CXX=/usr/lib/ccache/g++
+++ccache --max-size 100M --show-stats
Set cache size limit to 100.0 Mbytes
cache directory /home/travis/.ccache
cache hit (direct) 66
cache hit (preprocessed) 35
cache miss 155
called for link 21
files in cache 176
cache size 38.1 Mbytes
max cache size 100.0 Mbytes
+++[[ ubuntu == \c\o\n\d\a ]]
+++[[ ubuntu == \u\b\u\n\t\u ]]
+++deactivate
+++unset -f pydoc
+++'[' -z _ ']'
+++PATH=/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin
+++export PATH
+++unset _OLD_VIRTUAL_PATH
+++'[' -z '' ']'
+++'[' -n /bin/bash ']'
+++hash -r
+++'[' -z _ ']'
+++PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
+++export PS1
+++unset _OLD_VIRTUAL_PS1
+++unset VIRTUAL_ENV
+++'[' '!' '' = nondestructive ']'
+++unset -f deactivate
+++virtualenv --system-site-packages testvenv
New python executable in /home/travis/build/scikit-learn/scikit-learn/testvenv/bin/python
Installing setuptools, pip, wheel...done.
+++source testvenv/bin/activate
++++deactivate nondestructive
++++unset -f pydoc
++++'[' -z '' ']'
++++'[' -z '' ']'
++++'[' -n /bin/bash ']'
++++hash -r
++++'[' -z '' ']'
++++unset VIRTUAL_ENV
++++'[' '!' nondestructive = nondestructive ']'
++++VIRTUAL_ENV=/home/travis/build/scikit-learn/scikit-learn/testvenv
++++export VIRTUAL_ENV
++++_OLD_VIRTUAL_PATH=/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin
++++PATH=/home/travis/build/scikit-learn/scikit-learn/testvenv/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin
++++export PATH
++++'[' -z '' ']'
++++'[' -z '' ']'
++++_OLD_VIRTUAL_PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
++++'[' x '!=' x ']'
+++++basename /home/travis/build/scikit-learn/scikit-learn/testvenv
++++PS1='(testvenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
++++export PS1
++++alias pydoc
++++'[' -n /bin/bash ']'
++++hash -r
+++pip install pytest pytest-cov cython==0.23.5
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Collecting pytest
/home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:365: SNIMissingWarning: An HTTPS request has been made, but the SNI (Server Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
SNIMissingWarning
/home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:149: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecurePlatformWarning
Using cached https://files.pythonhosted.org/packages/8c/6f/4db6124788e9b281d94693e21e5a40d00f417763dcda10edc8a70655cb92/pytest-4.6.4-py2.py3-none-any.whl
Collecting pytest-cov
Using cached https://files.pythonhosted.org/packages/84/7b/73f8522619d1cbb22b9a36f9c54bc5ce5e24648e53cc1bf566477d2d1f2b/pytest_cov-2.7.1-py2.py3-none-any.whl
Collecting cython==0.23.5
Using cached https://files.pythonhosted.org/packages/50/79/3dfddac3236d9207a9193d4f6d0059882bb5e8bdbe5ebe9afeef633d13aa/Cython-0.23.5-cp27-cp27mu-manylinux1_x86_64.whl
Collecting funcsigs>=1.0; python_version < "3.0" (from pytest)
Using cached https://files.pythonhosted.org/packages/69/cb/f5be453359271714c01b9bd06126eaf2e368f1fddfff30818754b5ac2328/funcsigs-1.0.2-py2.py3-none-any.whl
Collecting pluggy<1.0,>=0.12 (from pytest)
Using cached https://files.pythonhosted.org/packages/06/ee/de89e0582276e3551df3110088bf20844de2b0e7df2748406876cc78e021/pluggy-0.12.0-py2.py3-none-any.whl
Collecting attrs>=17.4.0 (from pytest)
Using cached https://files.pythonhosted.org/packages/23/96/d828354fa2dbdf216eaa7b7de0db692f12c234f7ef888cc14980ef40d1d2/attrs-19.1.0-py2.py3-none-any.whl
Collecting pathlib2>=2.2.0; python_version < "3.6" (from pytest)
Using cached https://files.pythonhosted.org/packages/67/c6/4dbf5dfdbe1140cadf765c3896acc098578626c35721bc7d3eb35f6a8fc1/pathlib2-2.3.4-py2.py3-none-any.whl
Collecting six>=1.10.0 (from pytest)
Using cached https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl
Collecting importlib-metadata>=0.12 (from pytest)
Using cached https://files.pythonhosted.org/packages/bd/23/dce4879ec58acf3959580bfe769926ed8198727250c5e395e6785c764a02/importlib_metadata-0.18-py2.py3-none-any.whl
Collecting py>=1.5.0 (from pytest)
Using cached https://files.pythonhosted.org/packages/76/bc/394ad449851729244a97857ee14d7cba61ddb268dce3db538ba2f2ba1f0f/py-1.8.0-py2.py3-none-any.whl
Collecting more-itertools<6.0.0,>=4.0.0; python_version <= "2.7" (from pytest)
Using cached https://files.pythonhosted.org/packages/2f/9d/dcfe59e213093695f108508af1214cf9cd95cc5489e46877ec5cb56369e5/more_itertools-5.0.0-py2-none-any.whl
Collecting wcwidth (from pytest)
Using cached https://files.pythonhosted.org/packages/7e/9f/526a6947247599b084ee5232e4f9190a38f398d7300d866af3ab571a5bfe/wcwidth-0.1.7-py2.py3-none-any.whl
Collecting packaging (from pytest)
Using cached https://files.pythonhosted.org/packages/91/32/58bc30e646e55eab8b21abf89e353f59c0cc02c417e42929f4a9546e1b1d/packaging-19.0-py2.py3-none-any.whl
Collecting atomicwrites>=1.0 (from pytest)
Using cached https://files.pythonhosted.org/packages/52/90/6155aa926f43f2b2a22b01be7241be3bfd1ceaf7d0b3267213e8127d41f4/atomicwrites-1.3.0-py2.py3-none-any.whl
Collecting coverage>=4.4 (from pytest-cov)
Using cached https://files.pythonhosted.org/packages/d7/ce/8553e6325b16d8c2ccba52eaebe92bb38bb7c64c8f34ad4ef87fd327b9bb/coverage-4.5.3-cp27-cp27mu-manylinux1_x86_64.whl
Collecting scandir; python_version < "3.5" (from pathlib2>=2.2.0; python_version < "3.6"->pytest)
Collecting configparser>=3.5; python_version < "3" (from importlib-metadata>=0.12->pytest)
Using cached https://files.pythonhosted.org/packages/ba/05/6c96328e92e625fc31445d24d75a2c92ef9ba34fc5b037fe69693c362a0d/configparser-3.7.4-py2.py3-none-any.whl
Collecting zipp>=0.5 (from importlib-metadata>=0.12->pytest)
Using cached https://files.pythonhosted.org/packages/da/bd/1a5fdf15aa44231fd09f63ecf175b60f057ae37ec65b343bb009364923f3/zipp-0.5.2-py2.py3-none-any.whl
Collecting contextlib2; python_version < "3" (from importlib-metadata>=0.12->pytest)
Using cached https://files.pythonhosted.org/packages/a2/71/8273a7eeed0aff6a854237ab5453bc9aa67deb49df4832801c21f0ff3782/contextlib2-0.5.5-py2.py3-none-any.whl
Collecting pyparsing>=2.0.2 (from packaging->pytest)
Using cached https://files.pythonhosted.org/packages/9f/dc/b205465a60baca8e04a1555a84d9c79f910661765056f071fb6fc2db4841/pyparsing-2.4.1-py2.py3-none-any.whl
Installing collected packages: funcsigs, configparser, zipp, contextlib2, six, scandir, pathlib2, importlib-metadata, pluggy, attrs, py, more-itertools, wcwidth, pyparsing, packaging, atomicwrites, pytest, coverage, pytest-cov, cython
Found existing installation: six 1.5.2
Not uninstalling six at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv
Can't uninstall 'six'. No files were found to uninstall.
Successfully installed atomicwrites-1.3.0 attrs-19.1.0 configparser-3.7.4 contextlib2-0.5.5 coverage-4.5.3 cython-0.23.5 funcsigs-1.0.2 importlib-metadata-0.18 more-itertools-5.0.0 packaging-19.0 pathlib2-2.3.4 pluggy-0.12.0 py-1.8.0 pyparsing-2.4.1 pytest-4.6.4 pytest-cov-2.7.1 scandir-1.10.0 six-1.12.0 wcwidth-0.1.7 zipp-0.5.2
+++[[ true == \t\r\u\e ]]
+++pip install coverage codecov
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support
Requirement already satisfied: coverage in ./testvenv/lib/python2.7/site-packages (4.5.3)
Collecting codecov
/home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:365: SNIMissingWarning: An HTTPS request has been made, but the SNI (Server Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
SNIMissingWarning
/home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:149: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecurePlatformWarning
Using cached https://files.pythonhosted.org/packages/8b/28/4c1950a61c3c5786f0f34d643d0d28ec832433c9a7c0bd157690d4eb1d5f/codecov-2.0.15-py2.py3-none-any.whl
Collecting requests>=2.7.9 (from codecov)
Using cached https://files.pythonhosted.org/packages/51/bd/23c926cd341ea6b7dd0b2a00aba99ae0f828be89d72b2190f27c11d4b7fb/requests-2.22.0-py2.py3-none-any.whl
Collecting idna<2.9,>=2.5 (from requests>=2.7.9->codecov)
Using cached https://files.pythonhosted.org/packages/14/2c/cd551d81dbe15200be1cf41cd03869a46fe7226e7450af7a6545bfc474c9/idna-2.8-py2.py3-none-any.whl
Collecting chardet<3.1.0,>=3.0.2 (from requests>=2.7.9->codecov)
Using cached https://files.pythonhosted.org/packages/bc/a9/01ffebfb562e4274b6487b4bb1ddec7ca55ec7510b22e4c51f14098443b8/chardet-3.0.4-py2.py3-none-any.whl
Collecting certifi>=2017.4.17 (from requests>=2.7.9->codecov)
Using cached https://files.pythonhosted.org/packages/69/1b/b853c7a9d4f6a6d00749e94eb6f3a041e342a885b87340b79c1ef73e3a78/certifi-2019.6.16-py2.py3-none-any.whl
Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 (from requests>=2.7.9->codecov)
Using cached https://files.pythonhosted.org/packages/e6/60/247f23a7121ae632d62811ba7f273d0e58972d75e58a94d329d51550a47d/urllib3-1.25.3-py2.py3-none-any.whl
Installing collected packages: idna, chardet, certifi, urllib3, requests, codecov
Found existing installation: chardet 2.0.1
Not uninstalling chardet at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv
Can't uninstall 'chardet'. No files were found to uninstall.
Found existing installation: urllib3 1.7.1
Not uninstalling urllib3 at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv
Can't uninstall 'urllib3'. No files were found to uninstall.
Found existing installation: requests 2.2.1
Not uninstalling requests at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv
Can't uninstall 'requests'. No files were found to uninstall.
Successfully installed certifi-2019.6.16 chardet-3.0.4 codecov-2.0.15 idna-2.8 requests-2.22.0 urllib3-1.25.3
+++[[ '' == \t\r\u\e ]]
+++python --version
Python 2.7.6
+++python -c 'import numpy; print('\''numpy %s'\'' % numpy.__version__)'
numpy 1.8.2
+++python -c 'import scipy; print('\''scipy %s'\'' % scipy.__version__)'
scipy 0.13.3
+++python -c 'try:
import pandas
print('\''pandas %s'\'' % pandas.__version__)
except ImportError:
pass
'
+++python setup.py develop
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl,vml,guide not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE
openblas_info:
libraries not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
FOUND:
libraries = ['blas']
library_dirs = ['/usr/lib']
language = f77
FOUND:
libraries = ['blas']
library_dirs = ['/usr/lib']
define_macros = [('NO_ATLAS_INFO', 1)]
language = f77
sklearn/setup.py:73: 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__)
missing cimport in module 'sklearn.neighbors': sklearn/manifold/_barnes_hut_tsne.pyx
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
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[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
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running develop
running build_scripts
running egg_info
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
creating scikit_learn.egg-info
writing requirements to scikit_learn.egg-info/requires.txt
writing scikit_learn.egg-info/PKG-INFO
writing top-level names to scikit_learn.egg-info/top_level.txt
writing dependency_links to scikit_learn.egg-info/dependency_links.txt
writing manifest file 'scikit_learn.egg-info/SOURCES.txt'
reading manifest file 'scikit_learn.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
writing manifest file 'scikit_learn.egg-info/SOURCES.txt'
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/sklearn
creating build/temp.linux-x86_64-2.7/sklearn/svm
creating build/temp.linux-x86_64-2.7/sklearn/svm/src
creating build/temp.linux-x86_64-2.7/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
g++: sklearn/svm/src/libsvm/libsvm_template.cpp
ar: adding 1 object files to build/temp.linux-x86_64-2.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/src
creating build/temp.linux-x86_64-2.7/sklearn/src/cblas
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
gcc: sklearn/src/cblas/cblas_dnrm2.c
gcc: sklearn/src/cblas/cblas_sgemv.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’ [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^
In file included from sklearn/src/cblas/cblas_sgemv.c:32:0:
sklearn/src/cblas/cblas_sgemv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_sdot.c
gcc: sklearn/src/cblas/cblas_dger.c
sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’:
sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
sklearn/src/cblas/cblas_dger.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_srefger.c
gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_dsrefdot.c
gcc: sklearn/src/cblas/ATL_srefcopy.c
gcc: sklearn/src/cblas/cblas_dasum.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_srefrot.c
gcc: sklearn/src/cblas/ATL_drefger.c
gcc: sklearn/src/cblas/ATL_drefcopy.c
gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_drefgemvT.c
gcc: sklearn/src/cblas/cblas_scopy.c
sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’:
sklearn/src/cblas/cblas_scopy.c:46:10: warning: implicit declaration of function ‘ATL_srefcopy’ [-Wimplicit-function-declaration]
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
sklearn/src/cblas/cblas_scopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_sger.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’ [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^
In file included from sklearn/src/cblas/cblas_sger.c:32:0:
sklearn/src/cblas/cblas_sger.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_srefasum.c
gcc: sklearn/src/cblas/cblas_dscal.c
gcc: sklearn/src/cblas/cblas_sscal.c
gcc: sklearn/src/cblas/ATL_srefrotg.c
gcc: sklearn/src/cblas/ATL_drefasum.c
gcc: sklearn/src/cblas/ATL_drefgemvN.c
gcc: sklearn/src/cblas/ATL_drefrot.c
gcc: sklearn/src/cblas/ATL_srefgemvT.c
gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’:
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration]
exit(-1);
^
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default]
gcc: sklearn/src/cblas/ATL_srefnrm2.c
gcc: sklearn/src/cblas/ATL_drefgemv.c
gcc: sklearn/src/cblas/cblas_ddot.c
gcc: sklearn/src/cblas/cblas_saxpy.c
gcc: sklearn/src/cblas/cblas_errprn.c
gcc: sklearn/src/cblas/cblas_dgemv.c
sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’:
sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
sklearn/src/cblas/cblas_dgemv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_daxpy.c
gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/cblas_dcopy.c
sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’:
sklearn/src/cblas/cblas_dcopy.c:46:10: warning: implicit declaration of function ‘ATL_drefcopy’ [-Wimplicit-function-declaration]
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
sklearn/src/cblas/cblas_dcopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^
gcc: sklearn/src/cblas/ATL_srefgemvN.c
gcc: sklearn/src/cblas/ATL_drefrotg.c
gcc: sklearn/src/cblas/ATL_srefgemv.c
ar: adding 40 object files to build/temp.linux-x86_64-2.7/libcblas.a
customize UnixCCompiler
customize UnixCCompiler using build_ext
resetting extension 'sklearn.svm.liblinear' language from 'f77' to 'c++'.
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize Gnu95FCompiler
Could not locate executable gfortran
Could not locate executable f95
customize IntelFCompiler
Could not locate executable ifort
Could not locate executable ifc
customize LaheyFCompiler
Could not locate executable lf95
customize PGroupFCompiler
Could not locate executable pgfortran
customize AbsoftFCompiler
Could not locate executable f90
Could not locate executable f77
customize NAGFCompiler
customize VastFCompiler
customize CompaqFCompiler
Could not locate executable fort
customize IntelItaniumFCompiler
Could not locate executable efort
Could not locate executable efc
customize IntelEM64TFCompiler
customize GnuFCompiler
Could not locate executable g77
customize G95FCompiler
Could not locate executable g95
customize PathScaleFCompiler
Could not locate executable pathf95
don't know how to compile Fortran code on platform 'posix'
warning: build_ext: f77_compiler=None is not available.
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/__check_build/_check_build.c
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/__check_build/_check_build.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-x86_64-2.7/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'
g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:271:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:271:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘int _import_array()’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_dbscan_inner.cpp:272:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function]
_import_umath(void)
^
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/cluster/_dbscan_inner.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -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'
g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:269:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_hierarchical.cpp:270:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function]
_import_umath(void)
^
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/cluster/_hierarchical.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_k_means_elkan.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/cluster/_k_means_elkan.so
building 'sklearn.cluster._k_means' extension
warning: build_ext: extension 'sklearn.cluster._k_means' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:273:
/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:3263:15: warning: assignment from incompatible pointer type [enabled by default]
__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:4054:15: warning: assignment from incompatible pointer type [enabled by default]
__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:5548:15: warning: assignment from incompatible pointer type [enabled by default]
__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:6404:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_ddot;
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/cluster/_k_means.c:274:
sklearn/cluster/_k_means.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/cluster/_k_means.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/datasets/_svmlight_format.c:258:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/datasets/_svmlight_format.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/decomposition/_online_lda.c:261:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/decomposition/_online_lda.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/decomposition/cdnmf_fast.c
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/decomposition/cdnmf_fast.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/ensemble/_gradient_boosting.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/ensemble/_gradient_boosting.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/feature_extraction/_hashing.c:261:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/feature_extraction/_hashing.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:264:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:264:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/manifold/_utils.c:265:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/manifold/_utils.so
building 'sklearn.manifold._barnes_hut_tsne' extension
warning: build_ext: extension 'sklearn.manifold._barnes_hut_tsne' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:274:
/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:2907:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^
sklearn/manifold/_barnes_hut_tsne.c:2906:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:274:
sklearn/manifold/_barnes_hut_tsne.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/manifold/_barnes_hut_tsne.c:275:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient.isra.30’:
sklearn/manifold/_barnes_hut_tsne.c:2808:83: warning: ‘__pyx_v_buff[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax])));
^
sklearn/manifold/_barnes_hut_tsne.c:2484:9: note: ‘__pyx_v_buff[1]’ was declared here
float __pyx_v_buff[3];
^
sklearn/manifold/_barnes_hut_tsne.c:2808:83: warning: ‘__pyx_v_buff[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax])));
^
sklearn/manifold/_barnes_hut_tsne.c:2484:9: note: ‘__pyx_v_buff[0]’ was declared here
float __pyx_v_buff[3];
^
sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[2]’ may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]);
^
sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[2]’ was declared here
float __pyx_v_neg_force[3];
^
sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]);
^
sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[1]’ was declared here
float __pyx_v_neg_force[3];
^
sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized]
(__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]);
^
sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[0]’ was declared here
float __pyx_v_neg_force[3];
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -o sklearn/manifold/_barnes_hut_tsne.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/metrics
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:261:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/metrics/cluster/expected_mutual_info_fast.so
building 'sklearn.metrics.pairwise_fast' extension
warning: build_ext: extension 'sklearn.metrics.pairwise_fast' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:272:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/metrics/pairwise_fast.c:273:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/metrics/pairwise_fast.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/ball_tree.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_depthfirst’:
sklearn/neighbors/ball_tree.c:20163:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2374; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/ball_tree.c:19837:50: note: ‘__pyx_v_sample_weight’ was declared here
__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
^
sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_breadthfirst’:
sklearn/neighbors/ball_tree.c:22784:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
^
sklearn/neighbors/ball_tree.c:18980:50: note: ‘__pyx_v_sample_weight’ was declared here
__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/ball_tree.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/kd_tree.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst’:
sklearn/neighbors/kd_tree.c:20134:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2374; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/kd_tree.c:19808:50: note: ‘__pyx_v_sample_weight’ was declared here
__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
^
sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_breadthfirst’:
sklearn/neighbors/kd_tree.c:22755:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
^
sklearn/neighbors/kd_tree.c:18951:50: note: ‘__pyx_v_sample_weight’ was declared here
__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:260:
/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:6383:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 463; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:6182:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’:
sklearn/neighbors/dist_metrics.c:7173:93: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7091:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’:
sklearn/neighbors/dist_metrics.c:7873:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 611; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7682:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’:
sklearn/neighbors/dist_metrics.c:8731:95: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [enabled by default]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 684; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:8485:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/dist_metrics.c:261:
sklearn/neighbors/dist_metrics.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/typedefs.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/typedefs.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/neighbors/quad_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:259:
/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:2424:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */
^
sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point’:
sklearn/neighbors/quad_tree.c:3582:7: warning: format not a string literal and no format arguments [-Wformat-security]
printf(__pyx_k_QuadTree_found_a_duplicate);
^
sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’:
sklearn/neighbors/quad_tree.c:6643:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default]
__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_filename = __pyx_f[0]; __pyx_lineno = 574; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/quad_tree.c:6643:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’
sklearn/neighbors/quad_tree.c: At top level:
sklearn/neighbors/quad_tree.c:7074:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/neighbors/quad_tree.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/quad_tree.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/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'
gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:262:
/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:13685:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default]
__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_filename = __pyx_f[0]; __pyx_lineno = 1123; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/tree/_tree.c:13685:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/tree/_tree.c:263:
sklearn/tree/_tree.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_tree.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:262:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/tree/_splitter.c:263:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_splitter.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:262:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/tree/_criterion.c:263:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_criterion.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:262:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/tree/_utils.c:263:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’:
sklearn/tree/_utils.c:8550:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized]
((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
^
sklearn/tree/_utils.c:8502:43: note: ‘__pyx_v_original_median’ was declared here
__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median;
^
sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop’:
sklearn/tree/_utils.c:8662:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized]
((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median);
^
sklearn/tree/_utils.c:8585:10: note: ‘__pyx_v_original_median’ was declared here
double __pyx_v_original_median;
^
sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push’:
sklearn/tree/_utils.c:8194:140: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized]
((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median);
^
sklearn/tree/_utils.c:8141:43: note: ‘__pyx_v_original_median’ was declared here
__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median;
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_utils.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:264:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/libsvm.c:265:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-x86_64-2.7 -llibsvm-skl -o sklearn/svm/libsvm.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:274:
/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:277:0:
sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘set_problem’:
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [enabled by default]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘csr_set_problem’:
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [enabled by default]
problem->sample_weight = sample_weight;
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/liblinear.c:275:
sklearn/svm/liblinear.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear
compile options: '-DNO_ATLAS_INFO=1 -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'
g++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’:
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable ‘n_iter’ [-Wunused-variable]
int n_iter;
^
g++: sklearn/svm/src/liblinear/tron.cpp
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/liblinear.o build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear/linear.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/svm/liblinear.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:262:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/svm/libsvm_sparse.c:263:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-x86_64-2.7 -llibsvm-skl -o sklearn/svm/libsvm_sparse.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/_isotonic.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/_isotonic.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
warning: build_ext: extension 'sklearn.linear_model.cd_fast' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/linear_model
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:273:
/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:4377:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c:4386:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4395:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4404:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:4413:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent’:
sklearn/linear_model/cd_fast.c:5730:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_gemv = cblas_dgemv;
^
sklearn/linear_model/cd_fast.c:5739:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:5748:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:5757:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:5766:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_copy = cblas_dcopy;
^
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:7878:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:7887:16: warning: assignment from incompatible pointer type [enabled by default]
__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:9806:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:9815:16: warning: assignment from incompatible pointer type [enabled by default]
__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:12231:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12240:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12249:16: warning: assignment from incompatible pointer type [enabled by default]
__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:13664:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:13673:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:13682:16: warning: assignment from incompatible pointer type [enabled by default]
__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:15705:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:15714:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:15723:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:15732:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:15750:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:15759:16: warning: assignment from incompatible pointer type [enabled by default]
__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:17380:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:17389:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:17398:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:17407:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:17425:15: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:17434:16: warning: assignment from incompatible pointer type [enabled by default]
__pyx_v_gemv = cblas_dgemv;
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/linear_model/cd_fast.c:274:
sklearn/linear_model/cd_fast.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/linear_model/cd_fast.so
building 'sklearn.linear_model.sgd_fast' extension
warning: build_ext: extension 'sklearn.linear_model.sgd_fast' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:274:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/linear_model/sgd_fast.c:275:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/linear_model/sgd_fast.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/linear_model/sag_fast.c:258:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
sklearn/linear_model/sag_fast.c: In function ‘__pyx_f_7sklearn_12linear_model_8sag_fast_lagged_update’:
sklearn/linear_model/sag_fast.c:5352:32: warning: ‘__pyx_v_cum_sum_prox’ may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_cum_sum_prox = (__pyx_v_cum_sum_prox - (__pyx_v_cumulative_sums_prox[((__pyx_v_feature_hist[__pyx_v_feature_ind]) - 1)]));
^
sklearn/linear_model/sag_fast.c:5207:10: note: ‘__pyx_v_cum_sum_prox’ was declared here
double __pyx_v_cum_sum_prox;
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/linear_model/sag_fast.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/utils
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:254:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/sparsefuncs_fast.c:255:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
warning: build_ext: extension 'sklearn.utils.arrayfuncs' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:272:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/arrayfuncs.c:273:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:255:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/murmurhash.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC
creating build/temp.linux-x86_64-2.7/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
g++: sklearn/utils/src/MurmurHash3.cpp
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/murmurhash.o build/temp.linux-x86_64-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/lgamma.c
gcc: sklearn/utils/src/gamma.c
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/lgamma.o build/temp.linux-x86_64-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/graph_shortest_path.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/graph_shortest_path.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -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'
g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:275:
/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:21409:47: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:3528:46: 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/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/fast_dict.cpp:276:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h: At global scope:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function]
_import_umath(void)
^
/usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/seq_dataset.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
warning: build_ext: extension 'sklearn.utils.weight_vector' has Fortran libraries but no Fortran linker found, using default linker
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-DNO_ATLAS_INFO=1 -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'
gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:272:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/weight_vector.c:273:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/_random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:259:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/_random.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:260:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]
_import_array(void)
^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
from sklearn/utils/_logistic_sigmoid.c:261:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]
_import_umath(void)
^
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/_logistic_sigmoid.so
Creating /home/travis/build/scikit-learn/scikit-learn/testvenv/lib/python2.7/site-packages/scikit-learn.egg-link (link to .)
Adding scikit-learn 0.20.4 to easy-install.pth file
Installed /home/travis/build/scikit-learn/scikit-learn
Processing dependencies for scikit-learn==0.20.4
Searching for scipy==0.13.3
Best match: scipy 0.13.3
Adding scipy 0.13.3 to easy-install.pth file
Using /usr/lib/python2.7/dist-packages
Searching for numpy==1.8.2
Best match: numpy 1.8.2
numpy 1.8.2 is already the active version in easy-install.pth
Using /usr/lib/python2.7/dist-packages
Finished processing dependencies for scikit-learn==0.20.4
+++ccache --show-stats
cache directory /home/travis/.ccache
cache hit (direct) 101
cache hit (preprocessed) 52
cache miss 188
called for link 28
files in cache 166
cache size 35.5 Mbytes
max cache size 100.0 Mbytes
+result=0
+[[ -n '' ]]
+[[ -n true ]]
+travis_time_finish
+local result=0
+local travis_timer_end_time
++travis_nanoseconds
++local cmd=date
++local format=+%s%N
++hash gdate
++[[ linux == osx ]]
++date -u +%s%N
+travis_timer_end_time=1563865885990696916
+local duration
+duration=138969571467
+echo -en 'travis_time:end:2d374ed4:start=1563865747021125449,finish=1563865885990696916,duration=138969571467\r\033[0K'
travis_time:end:2d374ed4:start=1563865747021125449,finish=1563865885990696916,duration=138969571467
+return 0
+[[ -n true ]]
+travis_assert 0
+local result=0
+[[ 0 -ne 0 ]]
+return 0
+travis_fold end install
+local action=end
+local name=install
+echo -en 'travis_fold:end:install\r\033[0K'
travis_fold:end:install
+:
+travis_run_before_script
+:
+travis_run_script
+travis_cmd 'bash build_tools/travis/test_script.sh' --echo --timing
+local assert output display retry timing cmd result secure
+cmd='bash build_tools/travis/test_script.sh'
+export 'TRAVIS_CMD=bash build_tools/travis/test_script.sh'
+TRAVIS_CMD='bash build_tools/travis/test_script.sh'
+shift
+true
+case "${1}" in
+output=true
+shift
+true
+case "${1}" in
+timing=true
+shift
+true
+case "${1}" in
+break
+[[ -n true ]]
+travis_time_start
++printf %08x 497878316
+TRAVIS_TIMER_ID=1dad052c
++travis_nanoseconds
++local cmd=date
++local format=+%s%N
++hash gdate
++[[ linux == osx ]]
++date -u +%s%N
+TRAVIS_TIMER_START_TIME=1563865885995626089
+export TRAVIS_TIMER_ID TRAVIS_TIMER_START_TIME
+echo -en 'travis_time:start:1dad052c\r\033[0K'
travis_time:start:1dad052c
+[[ -n true ]]
+echo '$ bash build_tools/travis/test_script.sh'
$ bash build_tools/travis/test_script.sh
+[[ -n '' ]]
+[[ -n '' ]]
+eval 'bash build_tools/travis/test_script.sh '
++bash build_tools/travis/test_script.sh
Python 2.7.6
numpy 1.8.2
scipy 0.13.3
1 CPUs
+pytest --showlocals --durations=20 --pyargs --cov sklearn sklearn
============================= test session starts ==============================
platform linux2 -- Python 2.7.6, pytest-4.6.4, py-1.8.0, pluggy-0.12.0
rootdir: /tmp/sklearn, inifile: setup.cfg
plugins: cov-2.7.1
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exceptions.py ss [ 0%]
impute.py ss [ 0%]
kernel_approximation.py ssss [ 0%]
kernel_ridge.py s [ 0%]
naive_bayes.py ssss [ 0%]
pipeline.py ssss [ 0%]
random_projection.py sss [ 0%]
cluster/affinity_propagation_.py s [ 0%]
cluster/bicluster.py ss [ 0%]
cluster/birch.py s [ 0%]
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cluster/k_means_.py ss [ 0%]
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cluster/tests/test_bicluster.py ........s. [ 0%]
cluster/tests/test_birch.py ....... [ 0%]
cluster/tests/test_dbscan.py ....................... [ 0%]
cluster/tests/test_feature_agglomeration.py . [ 0%]
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cluster/tests/test_k_means.py ...........s.............................. [ 1%]
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cluster/tests/test_mean_shift.py .......... [ 2%]
cluster/tests/test_spectral.py ............. [ 2%]
compose/_column_transformer.py ss [ 2%]
compose/_target.py s [ 2%]
compose/tests/test_column_transformer.py .ss.s........s....s............ [ 2%]
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compose/tests/test_target.py ............. [ 3%]
covariance/empirical_covariance_.py s [ 3%]
covariance/robust_covariance.py s [ 3%]
covariance/shrunk_covariance_.py ss [ 3%]
covariance/tests/test_covariance.py ...... [ 3%]
covariance/tests/test_elliptic_envelope.py .... [ 3%]
covariance/tests/test_graph_lasso.py ..... [ 3%]
covariance/tests/test_graphical_lasso.py .....s [ 3%]
covariance/tests/test_robust_covariance.py ....... [ 3%]
cross_decomposition/cca_.py s [ 3%]
cross_decomposition/pls_.py sss [ 3%]
cross_decomposition/tests/test_pls.py ........ [ 3%]
datasets/base.py sssssss [ 3%]
datasets/samples_generator.py s [ 3%]
datasets/tests/test_20news.py sss [ 3%]
datasets/tests/test_base.py ................... [ 3%]
datasets/tests/test_california_housing.py s [ 3%]
datasets/tests/test_covtype.py s [ 3%]
datasets/tests/test_kddcup99.py ss [ 3%]
datasets/tests/test_lfw.py sssss [ 3%]
datasets/tests/test_mldata.py .... [ 3%]
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datasets/tests/test_rcv1.py s [ 4%]
datasets/tests/test_samples_generator.py ............................ [ 4%]
datasets/tests/test_svmlight_format.py ................................. [ 4%]
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decomposition/base.py s [ 5%]
decomposition/factor_analysis.py s [ 5%]
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decomposition/incremental_pca.py s [ 5%]
decomposition/kernel_pca.py s [ 5%]
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decomposition/online_lda.py s [ 5%]
decomposition/pca.py s [ 5%]
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=================================== FAILURES ===================================
____________________________ test_unsorted_indices _____________________________
def test_unsorted_indices():
# test that the result with sorted and unsorted indices in csr is the same
# we use a subset of digits as iris, blobs or make_classification didn't
# show the problem
digits = load_digits()
X, y = digits.data[:50], digits.target[:50]
X_test = sparse.csr_matrix(digits.data[50:100])
X_sparse = sparse.csr_matrix(X)
coef_dense = svm.SVC(kernel='linear', probability=True,
random_state=0).fit(X, y).coef_
sparse_svc = svm.SVC(kernel='linear', probability=True,
random_state=0).fit(X_sparse, y)
coef_sorted = sparse_svc.coef_
# make sure dense and sparse SVM give the same result
assert_array_almost_equal(coef_dense, coef_sorted.toarray())
# reverse each row's indices
def scramble_indices(X):
new_data = []
new_indices = []
for i in range(1, len(X.indptr)):
row_slice = slice(*X.indptr[i - 1: i + 1])
new_data.extend(X.data[row_slice][::-1])
new_indices.extend(X.indices[row_slice][::-1])
return sparse.csr_matrix((new_data, new_indices, X.indptr),
shape=X.shape)
> X_sparse_unsorted = scramble_indices(X_sparse)
X = array([[ 0., 0., 5., ..., 0., 0., 0.],
[ 0., 0., 0., ..... 2., ..., 6., 0., 0.],
[ 0., 0., 1., ..., 8., 0., 0.]])
X_sparse = <50x64 sparse matrix of type xxx!xxx
with 1628 stored elements in Compressed Sparse Row format>
X_test = <50x64 sparse matrix of type xxx!xxx
with 1583 stored elements in Compressed Sparse Row format>
coef_dense = array([[ 0. , 0. , 0.00134814, ..., -0.002488 ,
0. ...-0.00067068, -0.0021453 , ..., -0.00229777,
-0.00393698, -0.00026964]])
coef_sorted = <45x64 sparse matrix of type xxx!xxx
with 2045 stored elements in Compressed Sparse Row format>
digits = {'images': array([[[ 0., 0., 5., ..., 1., 0., 0.],
[ 0., ...ication\n Algorithm. NIPS. 2000.", 'target': array([0, 1, 2, ..., 8, 9, 8])}
scramble_indices = <function scramble_indices at 0x7f2a0f80d410>
sparse_svc = SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_s..., probability=True, random_state=0,
shrinking=True, tol=0.001, verbose=False)
y = array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2,
...6, 7, 8, 9, 0, 9, 5, 5, 6, 5, 0, 9, 8, 9, 8, 4, 1, 7, 7, 3,
5, 1, 0, 0])
/home/travis/build/scikit-learn/scikit-learn/sklearn/svm/tests/test_sparse.py:125:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/home/travis/build/scikit-learn/scikit-learn/sklearn/svm/tests/test_sparse.py:123: in scramble_indices
shape=X.shape)
/usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:52: in __init__
self.data = np.array(data, copy=copy, dtype=getdtype(dtype, data))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
dtype = None, a = [10.0, 13.0, 6.0, 12.0, 10.0, 5.0, ...], default = None
def getdtype(dtype, a=None, default=None):
"""Function used to simplify argument processing. If 'dtype' is not
specified (is None), returns a.dtype; otherwise returns a np.dtype
object created from the specified dtype argument. If 'dtype' and 'a'
are both None, construct a data type out of the 'default' parameter.
Furthermore, 'dtype' must be in 'allowed' set.
"""
#TODO is this really what we want?
canCast = True
if dtype is None:
try:
newdtype = a.dtype
except AttributeError:
if default is not None:
newdtype = np.dtype(default)
canCast = False
else:
> raise TypeError("could not interpret data type")
E TypeError: could not interpret data type
a = [10.0, 13.0, 6.0, 12.0, 10.0, 5.0, ...]
canCast = True
default = None
dtype = None
/usr/lib/python2.7/dist-packages/scipy/sparse/sputils.py:101: TypeError
---------- coverage: platform linux2, python 2.7.6-final-0 -----------
Name Stmts Miss Cover
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/home/travis/build/scikit-learn/scikit-learn/sklearn/__check_build/__init__.py 18 3 83%
/home/travis/build/scikit-learn/scikit-learn/sklearn/__check_build/setup.py 9 2 78%
/home/travis/build/scikit-learn/scikit-learn/sklearn/__init__.py 32 11 66%
/home/travis/build/scikit-learn/scikit-learn/sklearn/_build_utils/__init__.py 49 22 55%
/home/travis/build/scikit-learn/scikit-learn/sklearn/_config.py 16 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/base.py 168 6 96%
/home/travis/build/scikit-learn/scikit-learn/sklearn/calibration.py 178 2 99%
/home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/__init__.py 9 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/_feature_agglomeration.py 26 0 100%
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/home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/k_means_.py 446 18 96%
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/home/travis/build/scikit-learn/scikit-learn/sklearn/compose/__init__.py 3 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/compose/_column_transformer.py 257 25 90%
/home/travis/build/scikit-learn/scikit-learn/sklearn/compose/_target.py 56 0 100%
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/home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py 578 115 80%
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/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_estimator_checks.py 278 32 88%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_extmath.py 373 8 98%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_fast_dict.py 23 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_fixes.py 53 1 98%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_graph.py 14 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_linear_assignment.py 18 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_metaestimators.py 38 6 84%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_multiclass.py 152 3 98%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_murmurhash.py 51 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_optimize.py 18 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_random.py 89 1 99%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_seq_dataset.py 56 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_shortest_path.py 53 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_show_versions.py 26 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_sparsefuncs.py 327 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_stats.py 8 0 100%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_testing.py 257 39 85%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_utils.py 207 15 93%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_validation.py 442 29 93%
/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/validation.py 266 6 98%
---------------------------------------------------------------------------------------------------------------------------------------
TOTAL 75266 6251 92%
========================== slowest 20 test durations ===========================
13.52s call preprocessing/tests/test_data.py::test_quantile_transform_subsampling
12.79s call utils/tests/test_estimator_checks.py::test_check_estimator
8.60s call metrics/tests/test_classification.py::test_matthews_corrcoef_overflow[1000000]
7.48s call utils/tests/test_estimator_checks.py::test_check_estimator_clones
6.94s call tests/test_multioutput.py::test_base_chain_fit_and_predict_with_sparse_data_and_cv
5.53s call preprocessing/tests/test_data.py::test_power_transformer_2d
4.18s call tree/tests/test_tree.py::test_min_impurity_decrease
3.93s call model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
3.57s call ensemble/tests/test_bagging.py::test_classification
3.34s call ensemble/tests/test_gradient_boosting.py::test_feature_importance_regression
3.28s call decomposition/tests/test_dict_learning.py::test_sparse_coder_parallel_mmap
3.10s call feature_extraction/tests/test_image.py::test_connect_regions
2.85s call manifold/tests/test_t_sne.py::test_uniform_grid[exact]
2.81s call neural_network/tests/test_mlp.py::test_n_iter_no_change_inf
2.63s call model_selection/tests/test_split.py::test_nested_cv
2.57s call ensemble/tests/test_bagging.py::test_sparse_classification
2.57s call feature_extraction/tests/test_image.py::test_connect_regions_with_grid
2.35s call linear_model/tests/test_logistic.py::test_ovr_multinomial_iris
2.33s call linear_model/tests/test_sgd.py::test_multi_core_gridsearch_and_early_stopping
2.29s call ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
=========================== short test summary info ============================
SKIPPED [7] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/cluster/supervised.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/tree/export.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: numpydoc is required to test the docstrings
SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/tests/test_impute.py:302: could not import 'pandas': No module named pandas
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: California housing dataset can not be loaded.
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SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/covariance/tests/test_graphical_lasso.py:159: On Python 2 DeprecationWarning is not issued for some unkown reason.
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/utils/validation.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Possible multi-process bug with some BLAS under Python < 3.4
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/scorer.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: This test will run only on python3.5 and above
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SKIPPED [9] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:832: could not import 'pandas': No module named pandas
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SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_data.py:939: RobustScaler cannot center sparse matrix
SKIPPED [15] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/model_selection/_split.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [6] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/regression.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [7] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/datasets/base.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/covariance/shrunk_covariance_.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_function_transformer.py:206: could not import 'pandas': No module named pandas
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Covertype dataset can not be loaded.
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SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: kddcup99 dataset can not be loaded.
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Sum is as unstable as cumsum for numpy < 1.9
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:134: could not import 'pandas': No module named pandas
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SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Skipping check_estimators_data_not_an_array for cross decomposition module as estimators are not deterministic.
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SKIPPED [4] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_data.py:732: 'with_mean=True' cannot be used with sparse matrix.
SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/tests/test_sgd.py:1524: this test uses scipy.random, that was introduced in version 0.17. This skip condition can be dropped as soon as we drop support for scipy versions older than 0.17
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:1022: could not import 'pandas': No module named pandas
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed.
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/bayes.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: test_bayesian_on_diabetes is broken
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SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Pandas not found
SKIPPED [5] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: PIL not installed.
SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: skipping mini_batch_fit_transform.
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/impute.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Not testing NuSVC class weight as it is ignored.
SKIPPED [16] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/classification.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [46] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: pandas is not installed: not testing for input of type pandas.Series to class weight.
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SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/manifold/isomap.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:472: could not import 'pandas': No module named pandas
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/neighbors/unsupervised.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:558: could not import 'pandas': No module named pandas
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Download RCV1 dataset to run this test.
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/bicluster.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: transform of SparsePCA is not invariant when applied to a subset.
SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/ensemble/forest.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_validation.py:699: could not import 'pandas': No module named pandas
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/decomposition/factor_analysis.py: doctests are only run for numpy >= 1.14 and python >= 3
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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: score_samples of BernoulliRBM is not invariant when applied to a subset.
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/compose/_target.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [13] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/data.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_encoders.py:672: could not import 'pandas': No module named pandas
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: pyamg not available.
SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: numpydoc is required to test the docstrings, as well as python version >= 3.5
SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/decomposition/pca.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Download 20 newsgroups to run this test
SKIPPED [5] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/least_angle.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/pipeline.py: doctests are only run for numpy >= 1.14 and python >= 3
SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/cross_decomposition/pls_.py: doctests are only run for numpy >= 1.14 and python >= 3
= 1 failed, 10072 passed, 378 skipped, 1 xfailed, 182 warnings in 500.67 seconds =