travis_fold:start:worker_info
Worker information
hostname: 6a3c581a-a31c-4fb5-aa4d-02924c3d6ad3@1.production-2-worker-org-gce-hf8k
version: v6.2.0 https://github.com/travis-ci/worker/tree/5e5476e01646095f48eec13196fdb3faf8f5cbf7
instance: travis-job-59677018-19c2-4534-b961-dc8eacb9adc4 travis-ci-garnet-trusty-1512502259-986baf0 (via amqp)
startup: 6.152676223s
travis_fold:end:worker_info
travis_fold:start:system_info
Build system information
Build language: python
Build group: stable
Build dist: trusty
Build id: 562456534
Job id: 562456536
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 3620
travis_fold:end:docker_mtu
travis_fold:start:resolvconf
resolvconf stop/waiting
resolvconf start/running
travis_fold:end:resolvconf
travis_fold:start:git.checkout
travis_time:start:11f5acc9
$ git clone --depth=50 https://github.com/scikit-learn/scikit-learn.git scikit-learn/scikit-learn
Cloning into 'scikit-learn/scikit-learn'...
remote: Enumerating objects: 1762, done.
remote: Counting objects:   0% (1/1762)   
remote: Counting objects:   1% (18/1762)   
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remote: Counting objects:  21% (371/1762)   
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remote: Counting objects:  25% (441/1762)   
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remote: Counting objects:  27% (476/1762)   
remote: Counting objects:  28% (494/1762)   
remote: Counting objects:  29% (511/1762)   
remote: Counting objects:  30% (529/1762)   
remote: Counting objects:  31% (547/1762)   
remote: Counting objects:  32% (564/1762)   
remote: Counting objects:  33% (582/1762)   
remote: Counting objects:  34% (600/1762)   
remote: Counting objects:  35% (617/1762)   
remote: Counting objects:  36% (635/1762)   
remote: Counting objects:  37% (652/1762)   
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remote: Counting objects:  39% (688/1762)   
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remote: Counting objects:  46% (811/1762)   
remote: Counting objects:  47% (829/1762)   
remote: Counting objects:  48% (846/1762)   
remote: Counting objects:  49% (864/1762)   
remote: Counting objects:  50% (881/1762)   
remote: Counting objects:  51% (899/1762)   
remote: Counting objects:  52% (917/1762)   
remote: Counting objects:  53% (934/1762)   
remote: Counting objects:  54% (952/1762)   
remote: Counting objects:  55% (970/1762)   
remote: Counting objects:  56% (987/1762)   
remote: Counting objects:  57% (1005/1762)   
remote: Counting objects:  58% (1022/1762)   
remote: Counting objects:  59% (1040/1762)   
remote: Counting objects:  60% (1058/1762)   
remote: Counting objects:  61% (1075/1762)   
remote: Counting objects:  62% (1093/1762)   
remote: Counting objects:  63% (1111/1762)   
remote: Counting objects:  64% (1128/1762)   
remote: Counting objects:  65% (1146/1762)   
remote: Counting objects:  66% (1163/1762)   
remote: Counting objects:  67% (1181/1762)   
remote: Counting objects:  68% (1199/1762)   
remote: Counting objects:  69% (1216/1762)   
remote: Counting objects:  70% (1234/1762)   
remote: Counting objects:  71% (1252/1762)   
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remote: Counting objects:  75% (1322/1762)   
remote: Counting objects:  76% (1340/1762)   
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remote: Counting objects:  78% (1375/1762)   
remote: Counting objects:  79% (1392/1762)   
remote: Counting objects:  80% (1410/1762)   
remote: Counting objects:  81% (1428/1762)   
remote: Counting objects:  82% (1445/1762)   
remote: Counting objects:  83% (1463/1762)   
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remote: Counting objects:  99% (1745/1762)   
remote: Counting objects: 100% (1762/1762)   
remote: Counting objects: 100% (1762/1762), done.
remote: Compressing objects:   0% (1/1468)   
remote: Compressing objects:   1% (15/1468)   
remote: Compressing objects:   2% (30/1468)   
remote: Compressing objects:   3% (45/1468)   
remote: Compressing objects:   4% (59/1468)   
remote: Compressing objects:   5% (74/1468)   
remote: Compressing objects:   6% (89/1468)   
remote: Compressing objects:   7% (103/1468)   
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remote: Compressing objects:  12% (177/1468)   
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remote: Compressing objects:  26% (382/1468)   
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remote: Compressing objects:  34% (500/1468)   
remote: Compressing objects:  35% (514/1468)   
remote: Compressing objects:  36% (529/1468)   
remote: Compressing objects:  37% (544/1468)   
remote: Compressing objects:  38% (558/1468)   
remote: Compressing objects:  39% (573/1468)   
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remote: Compressing objects:  41% (602/1468)   
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remote: Compressing objects:  45% (661/1468)   
remote: Compressing objects:  46% (676/1468)   
remote: Compressing objects:  47% (690/1468)   
remote: Compressing objects:  48% (705/1468)   
remote: Compressing objects:  49% (720/1468)   
remote: Compressing objects:  50% (734/1468)   
remote: Compressing objects:  51% (749/1468)   
remote: Compressing objects:  52% (764/1468)   
remote: Compressing objects:  53% (779/1468)   
remote: Compressing objects:  54% (793/1468)   
remote: Compressing objects:  55% (808/1468)   
remote: Compressing objects:  56% (823/1468)   
remote: Compressing objects:  57% (837/1468)   
remote: Compressing objects:  58% (852/1468)   
remote: Compressing objects:  59% (867/1468)   
remote: Compressing objects:  60% (881/1468)   
remote: Compressing objects:  61% (896/1468)   
remote: Compressing objects:  62% (911/1468)   
remote: Compressing objects:  63% (925/1468)   
remote: Compressing objects:  64% (940/1468)   
remote: Compressing objects:  65% (955/1468)   
remote: Compressing objects:  66% (969/1468)   
remote: Compressing objects:  67% (984/1468)   
remote: Compressing objects:  68% (999/1468)   
remote: Compressing objects:  69% (1013/1468)   
remote: Compressing objects:  70% (1028/1468)   
remote: Compressing objects:  71% (1043/1468)   
remote: Compressing objects:  72% (1057/1468)   
remote: Compressing objects:  73% (1072/1468)   
remote: Compressing objects:  74% (1087/1468)   
remote: Compressing objects:  75% (1101/1468)   
remote: Compressing objects:  76% (1116/1468)   
remote: Compressing objects:  77% (1131/1468)   
remote: Compressing objects:  78% (1146/1468)   
remote: Compressing objects:  79% (1160/1468)   
remote: Compressing objects:  80% (1175/1468)   
remote: Compressing objects:  81% (1190/1468)   
remote: Compressing objects:  82% (1204/1468)   
remote: Compressing objects:  83% (1219/1468)   
remote: Compressing objects:  84% (1234/1468)   
remote: Compressing objects:  85% (1248/1468)   
remote: Compressing objects:  86% (1263/1468)   
remote: Compressing objects:  87% (1278/1468)   
remote: Compressing objects:  88% (1292/1468)   
remote: Compressing objects:  89% (1307/1468)   
remote: Compressing objects:  90% (1322/1468)   
remote: Compressing objects:  91% (1336/1468)   
remote: Compressing objects:  92% (1351/1468)   
remote: Compressing objects:  93% (1366/1468)   
remote: Compressing objects:  94% (1380/1468)   
remote: Compressing objects:  95% (1395/1468)   
remote: Compressing objects:  96% (1410/1468)   
remote: Compressing objects:  97% (1424/1468)   
remote: Compressing objects:  98% (1439/1468)   
remote: Compressing objects:  99% (1454/1468)   
remote: Compressing objects: 100% (1468/1468)   
remote: Compressing objects: 100% (1468/1468), done.
Receiving objects:   0% (1/1762)   
Receiving objects:   1% (18/1762)   
Receiving objects:   2% (36/1762)   
Receiving objects:   3% (53/1762)   
Receiving objects:   4% (71/1762)   
Receiving objects:   5% (89/1762)   
Receiving objects:   6% (106/1762)   
Receiving objects:   7% (124/1762)   
Receiving objects:   8% (141/1762)   
Receiving objects:   9% (159/1762)   
Receiving objects:  10% (177/1762)   
Receiving objects:  11% (194/1762)   
Receiving objects:  12% (212/1762)   
Receiving objects:  13% (230/1762)   
Receiving objects:  14% (247/1762)   
Receiving objects:  15% (265/1762)   
Receiving objects:  16% (282/1762)   
Receiving objects:  17% (300/1762)   
Receiving objects:  18% (318/1762)   
Receiving objects:  19% (335/1762)   
Receiving objects:  20% (353/1762)   
Receiving objects:  21% (371/1762)   
Receiving objects:  22% (388/1762)   
Receiving objects:  23% (406/1762)   
Receiving objects:  24% (423/1762)   
Receiving objects:  25% (441/1762)   
Receiving objects:  26% (459/1762)   
Receiving objects:  27% (476/1762)   
Receiving objects:  28% (494/1762)   
Receiving objects:  29% (511/1762)   
Receiving objects:  30% (529/1762)   
Receiving objects:  31% (547/1762)   
Receiving objects:  32% (564/1762)   
Receiving objects:  33% (582/1762)   
Receiving objects:  34% (600/1762)   
Receiving objects:  35% (617/1762)   
Receiving objects:  36% (635/1762)   
Receiving objects:  37% (652/1762)   
Receiving objects:  38% (670/1762)   
Receiving objects:  39% (688/1762)   
Receiving objects:  40% (705/1762)   
Receiving objects:  41% (723/1762)   
Receiving objects:  42% (741/1762)   
Receiving objects:  43% (758/1762)   
Receiving objects:  44% (776/1762)   
Receiving objects:  45% (793/1762)   
Receiving objects:  46% (811/1762)   
Receiving objects:  47% (829/1762)   
Receiving objects:  48% (846/1762)   
Receiving objects:  49% (864/1762)   
Receiving objects:  50% (881/1762)   
Receiving objects:  51% (899/1762)   
Receiving objects:  52% (917/1762)   
Receiving objects:  53% (934/1762)   
Receiving objects:  54% (952/1762)   
Receiving objects:  55% (970/1762)   
Receiving objects:  56% (987/1762)   
Receiving objects:  57% (1005/1762)   
Receiving objects:  58% (1022/1762)   
Receiving objects:  59% (1040/1762)   
Receiving objects:  60% (1058/1762)   
Receiving objects:  61% (1075/1762)   
Receiving objects:  62% (1093/1762)   
Receiving objects:  63% (1111/1762)   
Receiving objects:  64% (1128/1762)   
Receiving objects:  65% (1146/1762)   
Receiving objects:  66% (1163/1762)   
Receiving objects:  67% (1181/1762)   
Receiving objects:  68% (1199/1762)   
Receiving objects:  69% (1216/1762)   
Receiving objects:  70% (1234/1762)   
Receiving objects:  71% (1252/1762)   
Receiving objects:  72% (1269/1762)   
Receiving objects:  73% (1287/1762)   
Receiving objects:  74% (1304/1762)   
Receiving objects:  75% (1322/1762)   
Receiving objects:  76% (1340/1762)   
Receiving objects:  77% (1357/1762)   
Receiving objects:  78% (1375/1762)   
Receiving objects:  79% (1392/1762)   
Receiving objects:  80% (1410/1762)   
Receiving objects:  81% (1428/1762)   
Receiving objects:  82% (1445/1762)   
Receiving objects:  83% (1463/1762)   
Receiving objects:  84% (1481/1762)   
Receiving objects:  85% (1498/1762)   
Receiving objects:  86% (1516/1762)   
Receiving objects:  87% (1533/1762)   
Receiving objects:  88% (1551/1762)   
Receiving objects:  89% (1569/1762)   
Receiving objects:  90% (1586/1762)   
Receiving objects:  91% (1604/1762)   
Receiving objects:  92% (1622/1762)   
Receiving objects:  93% (1639/1762)   
Receiving objects:  94% (1657/1762)   
Receiving objects:  95% (1674/1762)   
remote: Total 1762 (delta 420), reused 734 (delta 277), pack-reused 0
Receiving objects:  96% (1692/1762)   
Receiving objects:  97% (1710/1762)   
Receiving objects:  98% (1727/1762)   
Receiving objects:  99% (1745/1762)   
Receiving objects: 100% (1762/1762)   
Receiving objects: 100% (1762/1762), 6.56 MiB | 18.55 MiB/s, done.
Resolving deltas:   0% (0/420)   
Resolving deltas:   1% (5/420)   
Resolving deltas:   2% (9/420)   
Resolving deltas:   3% (13/420)   
Resolving deltas:   4% (19/420)   
Resolving deltas:   5% (23/420)   
Resolving deltas:   7% (31/420)   
Resolving deltas:   8% (34/420)   
Resolving deltas:   9% (39/420)   
Resolving deltas:  10% (43/420)   
Resolving deltas:  11% (49/420)   
Resolving deltas:  12% (52/420)   
Resolving deltas:  13% (55/420)   
Resolving deltas:  16% (69/420)   
Resolving deltas:  17% (74/420)   
Resolving deltas:  19% (82/420)   
Resolving deltas:  20% (84/420)   
Resolving deltas:  21% (89/420)   
Resolving deltas:  22% (93/420)   
Resolving deltas:  23% (99/420)   
Resolving deltas:  24% (103/420)   
Resolving deltas:  25% (106/420)   
Resolving deltas:  26% (111/420)   
Resolving deltas:  27% (114/420)   
Resolving deltas:  28% (119/420)   
Resolving deltas:  29% (122/420)   
Resolving deltas:  30% (126/420)   
Resolving deltas:  31% (131/420)   
Resolving deltas:  32% (137/420)   
Resolving deltas:  33% (139/420)   
Resolving deltas:  34% (143/420)   
Resolving deltas:  35% (148/420)   
Resolving deltas:  36% (152/420)   
Resolving deltas:  37% (156/420)   
Resolving deltas:  38% (160/420)   
Resolving deltas:  39% (164/420)   
Resolving deltas:  45% (191/420)   
Resolving deltas:  47% (198/420)   
Resolving deltas:  49% (206/420)   
Resolving deltas:  51% (215/420)   
Resolving deltas:  52% (222/420)   
Resolving deltas:  53% (224/420)   
Resolving deltas:  54% (227/420)   
Resolving deltas:  55% (231/420)   
Resolving deltas:  56% (236/420)   
Resolving deltas:  57% (240/420)   
Resolving deltas:  59% (248/420)   
Resolving deltas:  60% (252/420)   
Resolving deltas:  61% (257/420)   
Resolving deltas:  62% (261/420)   
Resolving deltas:  63% (266/420)   
Resolving deltas:  64% (271/420)   
Resolving deltas:  65% (274/420)   
Resolving deltas:  66% (278/420)   
Resolving deltas:  67% (282/420)   
Resolving deltas:  68% (289/420)   
Resolving deltas:  69% (290/420)   
Resolving deltas:  70% (295/420)   
Resolving deltas:  71% (299/420)   
Resolving deltas:  73% (308/420)   
Resolving deltas:  74% (311/420)   
Resolving deltas:  75% (315/420)   
Resolving deltas:  76% (320/420)   
Resolving deltas:  77% (324/420)   
Resolving deltas:  78% (328/420)   
Resolving deltas:  79% (332/420)   
Resolving deltas:  80% (336/420)   
Resolving deltas:  81% (341/420)   
Resolving deltas:  82% (345/420)   
Resolving deltas:  83% (349/420)   
Resolving deltas:  84% (353/420)   
Resolving deltas:  85% (358/420)   
Resolving deltas:  86% (362/420)   
Resolving deltas:  87% (366/420)   
Resolving deltas:  88% (370/420)   
Resolving deltas:  89% (374/420)   
Resolving deltas:  90% (379/420)   
Resolving deltas:  96% (404/420)   
Resolving deltas:  97% (408/420)   
Resolving deltas:  98% (415/420)   
Resolving deltas:  99% (416/420)   
Resolving deltas: 100% (420/420)   
Resolving deltas: 100% (420/420), done.
travis_time:end:11f5acc9:start=1563868010500544654,finish=1563868013332241005,duration=2831696351
$ cd scikit-learn/scikit-learn
travis_time:start:0306b9b8
$ git fetch origin +refs/pull/14443/merge:
remote: Enumerating objects: 142783   
remote: Enumerating objects: 155513, done.
remote: Counting objects:   0% (1/155512)   
remote: Counting objects:   1% (1556/155512)   
remote: Counting objects:   2% (3111/155512)   
remote: Counting objects:   3% (4666/155512)   
remote: Counting objects:   4% (6221/155512)   
remote: Counting objects:   5% (7776/155512)   
remote: Counting objects:   6% (9331/155512)   
remote: Counting objects:   7% (10886/155512)   
remote: Counting objects:   8% (12441/155512)   
remote: Counting objects:   9% (13997/155512)   
remote: Counting objects:  10% (15552/155512)   
remote: Counting objects:  11% (17107/155512)   
remote: Counting objects:  12% (18662/155512)   
remote: Counting objects:  13% (20217/155512)   
remote: Counting objects:  14% (21772/155512)   
remote: Counting objects:  15% (23327/155512)   
remote: Counting objects:  16% (24882/155512)   
remote: Counting objects:  17% (26438/155512)   
remote: Counting objects:  18% (27993/155512)   
remote: Counting objects:  19% (29548/155512)   
remote: Counting objects:  20% (31103/155512)   
remote: Counting objects:  21% (32658/155512)   
remote: Counting objects:  22% (34213/155512)   
remote: Counting objects:  23% (35768/155512)   
remote: Counting objects:  24% (37323/155512)   
remote: Counting objects:  25% (38878/155512)   
remote: Counting objects:  26% (40434/155512)   
remote: Counting objects:  27% (41989/155512)   
remote: Counting objects:  28% (43544/155512)   
remote: Counting objects:  29% (45099/155512)   
remote: Counting objects:  30% (46654/155512)   
remote: Counting objects:  31% (48209/155512)   
remote: Counting objects:  32% (49764/155512)   
remote: Counting objects:  33% (51319/155512)   
remote: Counting objects:  34% (52875/155512)   
remote: Counting objects:  35% (54430/155512)   
remote: Counting objects:  36% (55985/155512)   
remote: Counting objects:  37% (57540/155512)   
remote: Counting objects:  38% (59095/155512)   
remote: Counting objects:  39% (60650/155512)   
remote: Counting objects:  40% (62205/155512)   
remote: Counting objects:  41% (63760/155512)   
remote: Counting objects:  42% (65316/155512)   
remote: Counting objects:  43% (66871/155512)   
remote: Counting objects:  44% (68426/155512)   
remote: Counting objects:  45% (69981/155512)   
remote: Counting objects:  46% (71536/155512)   
remote: Counting objects:  47% (73091/155512)   
remote: Counting objects:  48% (74646/155512)   
remote: Counting objects:  49% (76201/155512)   
remote: Counting objects:  50% (77756/155512)   
remote: Counting objects:  51% (79312/155512)   
remote: Counting objects:  52% (80867/155512)   
remote: Counting objects:  53% (82422/155512)   
remote: Counting objects:  54% (83977/155512)   
remote: Counting objects:  55% (85532/155512)   
remote: Counting objects:  56% (87087/155512)   
remote: Counting objects:  57% (88642/155512)   
remote: Counting objects:  58% (90197/155512)   
remote: Counting objects:  59% (91753/155512)   
remote: Counting objects:  60% (93308/155512)   
remote: Counting objects:  61% (94863/155512)   
remote: Counting objects:  62% (96418/155512)   
remote: Counting objects:  63% (97973/155512)   
remote: Counting objects:  64% (99528/155512)   
remote: Counting objects:  65% (101083/155512)   
remote: Counting objects:  66% (102638/155512)   
remote: Counting objects:  67% (104194/155512)   
remote: Counting objects:  68% (105749/155512)   
remote: Counting objects:  69% (107304/155512)   
remote: Counting objects:  70% (108859/155512)   
remote: Counting objects:  71% (110414/155512)   
remote: Counting objects:  72% (111969/155512)   
remote: Counting objects:  73% (113524/155512)   
remote: Counting objects:  74% (115079/155512)   
remote: Counting objects:  75% (116634/155512)   
remote: Counting objects:  76% (118190/155512)   
remote: Counting objects:  77% (119745/155512)   
remote: Counting objects:  78% (121300/155512)   
remote: Counting objects:  79% (122855/155512)   
remote: Counting objects:  80% (124410/155512)   
remote: Counting objects:  81% (125965/155512)   
remote: Counting objects:  82% (127520/155512)   
remote: Counting objects:  83% (129075/155512)   
remote: Counting objects:  84% (130631/155512)   
remote: Counting objects:  85% (132186/155512)   
remote: Counting objects:  86% (133741/155512)   
remote: Counting objects:  87% (135296/155512)   
remote: Counting objects:  88% (136851/155512)   
remote: Counting objects:  89% (138406/155512)   
remote: Counting objects:  90% (139961/155512)   
remote: Counting objects:  91% (141516/155512)   
remote: Counting objects:  92% (143072/155512)   
remote: Counting objects:  93% (144627/155512)   
remote: Counting objects:  94% (146182/155512)   
remote: Counting objects:  95% (147737/155512)   
remote: Counting objects:  96% (149292/155512)   
remote: Counting objects:  97% (150847/155512)   
remote: Counting objects:  98% (152402/155512)   
remote: Counting objects:  99% (153957/155512)   
remote: Counting objects: 100% (155512/155512)   
remote: Counting objects: 100% (155512/155512), done.
remote: Compressing objects:   0% (1/37826)   
remote: Compressing objects:   1% (379/37826)   
remote: Compressing objects:   2% (757/37826)   
remote: Compressing objects:   3% (1135/37826)   
remote: Compressing objects:   4% (1514/37826)   
remote: Compressing objects:   5% (1892/37826)   
remote: Compressing objects:   6% (2270/37826)   
remote: Compressing objects:   7% (2648/37826)   
remote: Compressing objects:   8% (3027/37826)   
remote: Compressing objects:   9% (3405/37826)   
remote: Compressing objects:  10% (3783/37826)   
remote: Compressing objects:  11% (4161/37826)   
remote: Compressing objects:  12% (4540/37826)   
remote: Compressing objects:  13% (4918/37826)   
remote: Compressing objects:  14% (5296/37826)   
remote: Compressing objects:  15% (5674/37826)   
remote: Compressing objects:  16% (6053/37826)   
remote: Compressing objects:  17% (6431/37826)   
remote: Compressing objects:  18% (6809/37826)   
remote: Compressing objects:  19% (7187/37826)   
remote: Compressing objects:  20% (7566/37826)   
remote: Compressing objects:  21% (7944/37826)   
remote: Compressing objects:  22% (8322/37826)   
remote: Compressing objects:  23% (8700/37826)   
remote: Compressing objects:  24% (9079/37826)   
remote: Compressing objects:  25% (9457/37826)   
remote: Compressing objects:  26% (9835/37826)   
remote: Compressing objects:  27% (10214/37826)   
remote: Compressing objects:  28% (10592/37826)   
remote: Compressing objects:  29% (10970/37826)   
remote: Compressing objects:  30% (11348/37826)   
remote: Compressing objects:  31% (11727/37826)   
remote: Compressing objects:  32% (12105/37826)   
remote: Compressing objects:  33% (12483/37826)   
remote: Compressing objects:  34% (12861/37826)   
remote: Compressing objects:  35% (13240/37826)   
remote: Compressing objects:  36% (13618/37826)   
remote: Compressing objects:  37% (13996/37826)   
remote: Compressing objects:  38% (14374/37826)   
remote: Compressing objects:  39% (14753/37826)   
remote: Compressing objects:  40% (15131/37826)   
remote: Compressing objects:  41% (15509/37826)   
remote: Compressing objects:  42% (15887/37826)   
remote: Compressing objects:  43% (16266/37826)   
remote: Compressing objects:  44% (16644/37826)   
remote: Compressing objects:  45% (17022/37826)   
remote: Compressing objects:  46% (17400/37826)   
remote: Compressing objects:  47% (17779/37826)   
remote: Compressing objects:  48% (18157/37826)   
remote: Compressing objects:  49% (18535/37826)   
remote: Compressing objects:  50% (18913/37826)   
remote: Compressing objects:  51% (19292/37826)   
remote: Compressing objects:  52% (19670/37826)   
remote: Compressing objects:  53% (20048/37826)   
remote: Compressing objects:  54% (20427/37826)   
remote: Compressing objects:  55% (20805/37826)   
remote: Compressing objects:  56% (21183/37826)   
remote: Compressing objects:  57% (21561/37826)   
remote: Compressing objects:  58% (21940/37826)   
remote: Compressing objects:  59% (22318/37826)   
remote: Compressing objects:  60% (22696/37826)   
remote: Compressing objects:  61% (23074/37826)   
remote: Compressing objects:  62% (23453/37826)   
remote: Compressing objects:  63% (23831/37826)   
remote: Compressing objects:  64% (24209/37826)   
remote: Compressing objects:  65% (24587/37826)   
remote: Compressing objects:  66% (24966/37826)   
remote: Compressing objects:  67% (25344/37826)   
remote: Compressing objects:  68% (25722/37826)   
remote: Compressing objects:  69% (26100/37826)   
remote: Compressing objects:  70% (26479/37826)   
remote: Compressing objects:  71% (26857/37826)   
remote: Compressing objects:  72% (27235/37826)   
remote: Compressing objects:  73% (27613/37826)   
remote: Compressing objects:  74% (27992/37826)   
remote: Compressing objects:  75% (28370/37826)   
remote: Compressing objects:  76% (28748/37826)   
remote: Compressing objects:  77% (29127/37826)   
remote: Compressing objects:  78% (29505/37826)   
remote: Compressing objects:  79% (29883/37826)   
remote: Compressing objects:  80% (30261/37826)   
remote: Compressing objects:  81% (30640/37826)   
remote: Compressing objects:  82% (31018/37826)   
remote: Compressing objects:  83% (31396/37826)   
remote: Compressing objects:  84% (31774/37826)   
remote: Compressing objects:  85% (32153/37826)   
remote: Compressing objects:  86% (32531/37826)   
remote: Compressing objects:  87% (32909/37826)   
remote: Compressing objects:  88% (33287/37826)   
remote: Compressing objects:  89% (33666/37826)   
remote: Compressing objects:  90% (34044/37826)   
remote: Compressing objects:  91% (34422/37826)   
remote: Compressing objects:  92% (34800/37826)   
remote: Compressing objects:  93% (35179/37826)   
remote: Compressing objects:  94% (35557/37826)   
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remote: Compressing objects: 100% (37826/37826), done.
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remote: Total 154623 (delta 117710), reused 152935 (delta 116025), pack-reused 0
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Receiving objects: 100% (154623/154623), 83.06 MiB | 29.31 MiB/s, done.
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Resolving deltas: 100% (117710/117710), completed with 696 local objects.
From https://github.com/scikit-learn/scikit-learn
 * branch                refs/pull/14443/merge -> FETCH_HEAD
travis_time:end:0306b9b8:start=1563868013336213741,finish=1563868026674733490,duration=13338519749
$ 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="conda"
$ export PYTHON_VERSION="3.4"
$ export INSTALL_MKL="false"
$ export NUMPY_VERSION="1.10.4"
$ export SCIPY_VERSION="0.17"
$ export CYTHON_VERSION="0.25.2"
$ export PILLOW_VERSION="4.0.0"
$ export COVERAGE=true
travis_time:start:097678d0
$ source ~/virtualenv/python3.6/bin/activate
travis_time:end:097678d0:start=1563868026853970000,finish=1563868026860201939,duration=6231939
travis_fold:start:cache.1
Setting up build cache
$ export CASHER_DIR=${TRAVIS_HOME}/.casher
travis_time:start:05054d0a
$ Installing caching utilities
travis_time:end:05054d0a:start=1563868031282635051,finish=1563868031433460454,duration=150825403
travis_time:start:0373e813
travis_time:end:0373e813:start=1563868031439220902,finish=1563868031442432087,duration=3211185
travis_time:start:229b742e
attempting to download cache archive
fetching PR.14443/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz
fetching PR.14443/cache--python-3.6.tgz
fetching 0.20.X/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz
fetching 0.20.X/cache--python-3.6.tgz
fetching master/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz
fetching master/cache--python-3.6.tgz
could not download cache
travis_time:end:229b742e:start=1563868031446524827,finish=1563868033100798809,duration=1654273982
travis_time:start:1669c52d
travis_time:end:1669c52d:start=1563868033104989955,finish=1563868033107928047,duration=2938092
travis_time:start:0e184012
adding /home/travis/.cache/pip to cache
adding /home/travis/.ccache to cache
travis_time:end:0e184012:start=1563868033111639810,finish=1563868034299370723,duration=1187730913
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:012630b4
$ 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)                     0
cache hit (preprocessed)               0
cache miss                             0
files in cache                         0
cache size                             0 Kbytes
max cache size                     100.0 Mbytes
+++[[ conda == \c\o\n\d\a ]]
+++TO_INSTALL='python=3.4 pip pytest pytest-cov                 numpy=1.10.4 scipy=0.17                 cython=0.25.2'
+++[[ false == \t\r\u\e ]]
+++TO_INSTALL='python=3.4 pip pytest pytest-cov                 numpy=1.10.4 scipy=0.17                 cython=0.25.2 nomkl'
+++[[ -n '' ]]
+++[[ -n '' ]]
+++[[ -n 4.0.0 ]]
+++TO_INSTALL='python=3.4 pip pytest pytest-cov                 numpy=1.10.4 scipy=0.17                 cython=0.25.2 nomkl pillow=4.0.0'
+++[[ -n '' ]]
+++make_conda python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0
+++TO_INSTALL='python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0'
+++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
+++wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
--2019-07-23 07:47:15--  https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
Resolving repo.continuum.io (repo.continuum.io)... 104.18.200.79, 104.18.201.79, 2606:4700::6812:c84f, ...
Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 70348401 (67M) [application/x-sh]
Saving to: ‘miniconda.sh’
 0% [                                       ] 0           --.-K/s              
56% [====================>                  ] 39,484,160   188MB/s             
100%[======================================>] 70,348,401   176MB/s   in 0.4s   
2019-07-23 07:47:15 (176 MB/s) - ‘miniconda.sh’ saved [70348401/70348401]
+++MINICONDA_PATH=/home/travis/miniconda
+++chmod +x miniconda.sh
+++./miniconda.sh -b -p /home/travis/miniconda
PREFIX=/home/travis/miniconda
installing: python-3.7.3-h0371630_0 ...
Python 3.7.3
installing: ca-certificates-2019.1.23-0 ...
installing: libgcc-ng-8.2.0-hdf63c60_1 ...
installing: libstdcxx-ng-8.2.0-hdf63c60_1 ...
installing: libffi-3.2.1-hd88cf55_4 ...
installing: ncurses-6.1-he6710b0_1 ...
installing: openssl-1.1.1b-h7b6447c_1 ...
installing: xz-5.2.4-h14c3975_4 ...
installing: yaml-0.1.7-had09818_2 ...
installing: zlib-1.2.11-h7b6447c_3 ...
installing: libedit-3.1.20181209-hc058e9b_0 ...
installing: readline-7.0-h7b6447c_5 ...
installing: tk-8.6.8-hbc83047_0 ...
installing: sqlite-3.27.2-h7b6447c_0 ...
installing: asn1crypto-0.24.0-py37_0 ...
installing: certifi-2019.3.9-py37_0 ...
installing: chardet-3.0.4-py37_1 ...
installing: idna-2.8-py37_0 ...
installing: pycosat-0.6.3-py37h14c3975_0 ...
installing: pycparser-2.19-py37_0 ...
installing: pysocks-1.6.8-py37_0 ...
installing: ruamel_yaml-0.15.46-py37h14c3975_0 ...
installing: six-1.12.0-py37_0 ...
installing: cffi-1.12.2-py37h2e261b9_1 ...
installing: setuptools-41.0.0-py37_0 ...
installing: cryptography-2.6.1-py37h1ba5d50_0 ...
installing: wheel-0.33.1-py37_0 ...
installing: pip-19.0.3-py37_0 ...
installing: pyopenssl-19.0.0-py37_0 ...
installing: urllib3-1.24.1-py37_0 ...
installing: requests-2.21.0-py37_0 ...
installing: conda-4.6.14-py37_0 ...
installation finished.
+++export PATH=/home/travis/miniconda/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
+++PATH=/home/travis/miniconda/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
+++conda update --yes conda
Collecting package metadata: - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
Solving environment: | / - \ | / - \ | / done
## Package Plan ##
  environment location: /home/travis/miniconda
  added / updated specs:
    - conda
The following packages will be downloaded:
    package                    |            build
    ---------------------------|-----------------
    _libgcc_mutex-0.1          |             main           3 KB
    bzip2-1.0.8                |       h7b6447c_0         105 KB
    ca-certificates-2019.5.15  |                0         133 KB
    certifi-2019.6.16          |           py37_0         154 KB
    conda-4.7.10               |           py37_0         3.0 MB
    conda-package-handling-1.3.11|           py37_0         260 KB
    libarchive-3.3.3           |       h5d8350f_5         1.5 MB
    libxml2-2.9.9              |       hea5a465_1         2.0 MB
    lz4-c-1.8.1.2              |       h14c3975_0         158 KB
    lzo-2.10                   |       h49e0be7_2         313 KB
    openssl-1.1.1c             |       h7b6447c_1         3.8 MB
    python-libarchive-c-2.8    |          py37_11          23 KB
    tqdm-4.32.1                |             py_0          48 KB
    zstd-1.3.7                 |       h0b5b093_0         887 KB
    ------------------------------------------------------------
                                           Total:        12.3 MB
The following NEW packages will be INSTALLED:
  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
  conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.3.11-py37_0
  libarchive         pkgs/main/linux-64::libarchive-3.3.3-h5d8350f_5
  libxml2            pkgs/main/linux-64::libxml2-2.9.9-hea5a465_1
  lz4-c              pkgs/main/linux-64::lz4-c-1.8.1.2-h14c3975_0
  lzo                pkgs/main/linux-64::lzo-2.10-h49e0be7_2
  python-libarchive~ pkgs/main/linux-64::python-libarchive-c-2.8-py37_11
  tqdm               pkgs/main/noarch::tqdm-4.32.1-py_0
  zstd               pkgs/main/linux-64::zstd-1.3.7-h0b5b093_0
The following packages will be UPDATED:
  ca-certificates                               2019.1.23-0 --> 2019.5.15-0
  certifi                                   2019.3.9-py37_0 --> 2019.6.16-py37_0
  conda                                       4.6.14-py37_0 --> 4.7.10-py37_0
  openssl                                 1.1.1b-h7b6447c_1 --> 1.1.1c-h7b6447c_1
Downloading and Extracting Packages
libarchive-3.3.3     | 1.5 MB    |                                       |   0% 
libarchive-3.3.3     | 1.5 MB    | ##############################7       |  83% 
libarchive-3.3.3     | 1.5 MB    | ##################################### | 100% 
_libgcc_mutex-0.1    | 3 KB      |                                       |   0% 
_libgcc_mutex-0.1    | 3 KB      | ##################################### | 100% 
python-libarchive-c- | 23 KB     |                                       |   0% 
python-libarchive-c- | 23 KB     | ##################################### | 100% 
conda-package-handli | 260 KB    |                                       |   0% 
conda-package-handli | 260 KB    | ##################################### | 100% 
openssl-1.1.1c       | 3.8 MB    |                                       |   0% 
openssl-1.1.1c       | 3.8 MB    | ############################5         |  77% 
openssl-1.1.1c       | 3.8 MB    | ##################################### | 100% 
zstd-1.3.7           | 887 KB    |                                       |   0% 
zstd-1.3.7           | 887 KB    | ##################################    |  92% 
zstd-1.3.7           | 887 KB    | ##################################### | 100% 
lz4-c-1.8.1.2        | 158 KB    |                                       |   0% 
lz4-c-1.8.1.2        | 158 KB    | ##################################### | 100% 
certifi-2019.6.16    | 154 KB    |                                       |   0% 
certifi-2019.6.16    | 154 KB    | ##################################### | 100% 
tqdm-4.32.1          | 48 KB     |                                       |   0% 
tqdm-4.32.1          | 48 KB     | ##################################### | 100% 
lzo-2.10             | 313 KB    |                                       |   0% 
lzo-2.10             | 313 KB    | ##################################### | 100% 
libxml2-2.9.9        | 2.0 MB    |                                       |   0% 
libxml2-2.9.9        | 2.0 MB    | ############################7         |  78% 
libxml2-2.9.9        | 2.0 MB    | ##################################### | 100% 
conda-4.7.10         | 3.0 MB    |                                       |   0% 
conda-4.7.10         | 3.0 MB    | ############################4         |  77% 
conda-4.7.10         | 3.0 MB    | ##################################### | 100% 
bzip2-1.0.8          | 105 KB    |                                       |   0% 
bzip2-1.0.8          | 105 KB    | ##################################### | 100% 
ca-certificates-2019 | 133 KB    |                                       |   0% 
ca-certificates-2019 | 133 KB    | ##################################### | 100% 
Preparing transaction: \ done
Verifying transaction: / - done
Executing transaction: | / done
+++conda create -c conda-forge -n testenv --yes python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0
Collecting package metadata (current_repodata.json): - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
Solving environment: \ failed with current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
Solving environment: / - \ | / - \ done
## Package Plan ##
  environment location: /home/travis/miniconda/envs/testenv
  added / updated specs:
    - cython=0.25.2
    - nomkl
    - numpy=1.10.4
    - pillow=4.0.0
    - pip
    - pytest
    - pytest-cov
    - python=3.4
    - scipy=0.17
The following packages will be downloaded:
    package                    |            build
    ---------------------------|-----------------
    blas-1.1                   |         openblas           1 KB  conda-forge
    ca-certificates-2019.6.16  |       hecc5488_0         145 KB  conda-forge
    certifi-2017.1.23          |           py34_0         222 KB  conda-forge
    coverage-4.4.2             |           py34_0         238 KB  conda-forge
    cython-0.25.2              |           py34_0         7.3 MB  conda-forge
    freetype-2.6.3             |                1         2.8 MB  conda-forge
    jpeg-9c                    |    h14c3975_1001         251 KB  conda-forge
    libgcc-ng-9.1.0            |       hdf63c60_0         5.1 MB
    libgfortran-3.0.0          |                1         281 KB  conda-forge
    libpng-1.6.37              |       hed695b0_0         343 KB  conda-forge
    libstdcxx-ng-9.1.0         |       hdf63c60_0         3.1 MB
    libtiff-4.0.10             |    h57b8799_1003         587 KB  conda-forge
    lz4-c-1.8.3                |    he1b5a44_1001         187 KB  conda-forge
    ncurses-5.9                |               10         1.1 MB  conda-forge
    nomkl-3.0                  |                0          46 KB
    numpy-1.10.4               |py34_blas_openblas_205         7.1 MB  conda-forge
    openblas-0.2.19            |                2        14.1 MB  conda-forge
    openssl-1.0.2r             |       h14c3975_0         3.1 MB  conda-forge
    pillow-4.0.0               |           py34_0         925 KB  conda-forge
    pip-9.0.1                  |           py34_0         1.7 MB  conda-forge
    py-1.8.0                   |             py_0          65 KB  conda-forge
    pytest-3.2.2               |             py_0         129 KB  conda-forge
    pytest-cov-2.6.1           |             py_0          17 KB  conda-forge
    python-3.4.5               |                2        26.9 MB  conda-forge
    readline-6.2               |                0         713 KB  conda-forge
    scipy-0.17.1               |np110py34_blas_openblas_205        31.4 MB  conda-forge
    setuptools-32.3.1          |           py34_0         507 KB  conda-forge
    sqlite-3.13.0              |                1         4.9 MB  conda-forge
    tk-8.5.19                  |                2         1.9 MB  conda-forge
    wheel-0.29.0               |           py34_0          82 KB  conda-forge
    xz-5.2.4                   |    h14c3975_1001         366 KB  conda-forge
    zlib-1.2.11                |    h516909a_1005         105 KB  conda-forge
    zstd-1.4.0                 |       h3b9ef0a_0         928 KB  conda-forge
    ------------------------------------------------------------
                                           Total:       116.5 MB
The following NEW packages will be INSTALLED:
  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  blas               conda-forge/linux-64::blas-1.1-openblas
  ca-certificates    conda-forge/linux-64::ca-certificates-2019.6.16-hecc5488_0
  certifi            conda-forge/linux-64::certifi-2017.1.23-py34_0
  coverage           conda-forge/linux-64::coverage-4.4.2-py34_0
  cython             conda-forge/linux-64::cython-0.25.2-py34_0
  freetype           conda-forge/linux-64::freetype-2.6.3-1
  jpeg               conda-forge/linux-64::jpeg-9c-h14c3975_1001
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libgfortran        conda-forge/linux-64::libgfortran-3.0.0-1
  libpng             conda-forge/linux-64::libpng-1.6.37-hed695b0_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  libtiff            conda-forge/linux-64::libtiff-4.0.10-h57b8799_1003
  lz4-c              conda-forge/linux-64::lz4-c-1.8.3-he1b5a44_1001
  ncurses            conda-forge/linux-64::ncurses-5.9-10
  nomkl              pkgs/main/linux-64::nomkl-3.0-0
  numpy              conda-forge/linux-64::numpy-1.10.4-py34_blas_openblas_205
  openblas           conda-forge/linux-64::openblas-0.2.19-2
  openssl            conda-forge/linux-64::openssl-1.0.2r-h14c3975_0
  pillow             conda-forge/linux-64::pillow-4.0.0-py34_0
  pip                conda-forge/linux-64::pip-9.0.1-py34_0
  py                 conda-forge/noarch::py-1.8.0-py_0
  pytest             conda-forge/noarch::pytest-3.2.2-py_0
  pytest-cov         conda-forge/noarch::pytest-cov-2.6.1-py_0
  python             conda-forge/linux-64::python-3.4.5-2
  readline           conda-forge/linux-64::readline-6.2-0
  scipy              conda-forge/linux-64::scipy-0.17.1-np110py34_blas_openblas_205
  setuptools         conda-forge/linux-64::setuptools-32.3.1-py34_0
  sqlite             conda-forge/linux-64::sqlite-3.13.0-1
  tk                 conda-forge/linux-64::tk-8.5.19-2
  wheel              conda-forge/linux-64::wheel-0.29.0-py34_0
  xz                 conda-forge/linux-64::xz-5.2.4-h14c3975_1001
  zlib               conda-forge/linux-64::zlib-1.2.11-h516909a_1005
  zstd               conda-forge/linux-64::zstd-1.4.0-h3b9ef0a_0
Downloading and Extracting Packages
pytest-3.2.2         | 129 KB    |                                       |   0% 
pytest-3.2.2         | 129 KB    | #############7                        |  37% 
pytest-3.2.2         | 129 KB    | ##################################### | 100% 
xz-5.2.4             | 366 KB    |                                       |   0% 
xz-5.2.4             | 366 KB    | ##################################### | 100% 
jpeg-9c              | 251 KB    |                                       |   0% 
jpeg-9c              | 251 KB    | ##################################### | 100% 
setuptools-32.3.1    | 507 KB    |                                       |   0% 
setuptools-32.3.1    | 507 KB    | ##################################### | 100% 
scipy-0.17.1         | 31.4 MB   |                                       |   0% 
scipy-0.17.1         | 31.4 MB   | ######8                               |  19% 
scipy-0.17.1         | 31.4 MB   | #######################2              |  63% 
scipy-0.17.1         | 31.4 MB   | ##################################### | 100% 
wheel-0.29.0         | 82 KB     |                                       |   0% 
wheel-0.29.0         | 82 KB     | ##################################### | 100% 
coverage-4.4.2       | 238 KB    |                                       |   0% 
coverage-4.4.2       | 238 KB    | ##################################### | 100% 
libgcc-ng-9.1.0      | 5.1 MB    |                                       |   0% 
libgcc-ng-9.1.0      | 5.1 MB    | ##6                                   |   7% 
libgcc-ng-9.1.0      | 5.1 MB    | ##################################### | 100% 
libpng-1.6.37        | 343 KB    |                                       |   0% 
libpng-1.6.37        | 343 KB    | ##################################### | 100% 
lz4-c-1.8.3          | 187 KB    |                                       |   0% 
lz4-c-1.8.3          | 187 KB    | ##################################### | 100% 
libgfortran-3.0.0    | 281 KB    |                                       |   0% 
libgfortran-3.0.0    | 281 KB    | ##################################### | 100% 
libstdcxx-ng-9.1.0   | 3.1 MB    |                                       |   0% 
libstdcxx-ng-9.1.0   | 3.1 MB    | ##################################### | 100% 
ca-certificates-2019 | 145 KB    |                                       |   0% 
ca-certificates-2019 | 145 KB    | ##################################### | 100% 
certifi-2017.1.23    | 222 KB    |                                       |   0% 
certifi-2017.1.23    | 222 KB    | ##################################### | 100% 
pytest-cov-2.6.1     | 17 KB     |                                       |   0% 
pytest-cov-2.6.1     | 17 KB     | ##################################### | 100% 
tk-8.5.19            | 1.9 MB    |                                       |   0% 
tk-8.5.19            | 1.9 MB    | ##################################### | 100% 
freetype-2.6.3       | 2.8 MB    |                                       |   0% 
freetype-2.6.3       | 2.8 MB    | ##################################### | 100% 
ncurses-5.9          | 1.1 MB    |                                       |   0% 
ncurses-5.9          | 1.1 MB    | ##################################### | 100% 
python-3.4.5         | 26.9 MB   |                                       |   0% 
python-3.4.5         | 26.9 MB   | #########3                            |  25% 
python-3.4.5         | 26.9 MB   | ###########################8          |  75% 
python-3.4.5         | 26.9 MB   | ##################################### | 100% 
openblas-0.2.19      | 14.1 MB   |                                       |   0% 
openblas-0.2.19      | 14.1 MB   | ################8                     |  46% 
openblas-0.2.19      | 14.1 MB   | ##################################### | 100% 
libtiff-4.0.10       | 587 KB    |                                       |   0% 
libtiff-4.0.10       | 587 KB    | ##################################### | 100% 
blas-1.1             | 1 KB      |                                       |   0% 
blas-1.1             | 1 KB      | ##################################### | 100% 
py-1.8.0             | 65 KB     |                                       |   0% 
py-1.8.0             | 65 KB     | ##################################### | 100% 
zstd-1.4.0           | 928 KB    |                                       |   0% 
zstd-1.4.0           | 928 KB    | ##################################### | 100% 
numpy-1.10.4         | 7.1 MB    |                                       |   0% 
numpy-1.10.4         | 7.1 MB    | ##################################### | 100% 
sqlite-3.13.0        | 4.9 MB    |                                       |   0% 
sqlite-3.13.0        | 4.9 MB    | ##################################### | 100% 
cython-0.25.2        | 7.3 MB    |                                       |   0% 
cython-0.25.2        | 7.3 MB    | ##################################### | 100% 
pip-9.0.1            | 1.7 MB    |                                       |   0% 
pip-9.0.1            | 1.7 MB    | ##################################### | 100% 
zlib-1.2.11          | 105 KB    |                                       |   0% 
zlib-1.2.11          | 105 KB    | ##################################### | 100% 
nomkl-3.0            | 46 KB     |                                       |   0% 
nomkl-3.0            | 46 KB     | ##################################### | 100% 
openssl-1.0.2r       | 3.1 MB    |                                       |   0% 
openssl-1.0.2r       | 3.1 MB    | ##################################### | 100% 
pillow-4.0.0         | 925 KB    |                                       |   0% 
pillow-4.0.0         | 925 KB    | ##################################### | 100% 
readline-6.2         | 713 KB    |                                       |   0% 
readline-6.2         | 713 KB    | ##################################### | 100% 
Preparing transaction: / - \ | / done
Verifying transaction: \ | / - \ | / - \ | / - \ | / - \ done
Executing transaction: / - \ | / - \ | / - \ | / - done
#
# To activate this environment, use
#
#     $ conda activate testenv
#
# To deactivate an active environment, use
#
#     $ conda deactivate
+++source activate testenv
++++_CONDA_ROOT=/home/travis/miniconda
++++. /home/travis/miniconda/etc/profile.d/conda.sh
+++++export CONDA_EXE=/home/travis/miniconda/bin/conda
+++++CONDA_EXE=/home/travis/miniconda/bin/conda
+++++export _CE_M=
+++++_CE_M=
+++++export _CE_CONDA=
+++++_CE_CONDA=
+++++export CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python
+++++CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python
+++++'[' -z '' ']'
+++++export CONDA_SHLVL=0
+++++CONDA_SHLVL=0
+++++'[' -n x ']'
+++++'[' -n '' ']'
+++++++dirname /home/travis/miniconda/bin/conda
++++++dirname /home/travis/miniconda/bin
+++++PATH=/home/travis/miniconda/condabin:/home/travis/miniconda/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 x ']'
++++conda activate testenv
++++'[' 2 -lt 1 ']'
++++local cmd=activate
++++shift
++++case "$cmd" in
++++__conda_activate activate testenv
++++'[' -n '' ']'
++++local cmd=activate
++++shift
++++local ask_conda
++++OLDPATH=/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin
++++__add_sys_prefix_to_path
++++'[' -n '' ']'
+++++dirname /home/travis/miniconda/bin/conda
++++SYSP=/home/travis/miniconda/bin
+++++dirname /home/travis/miniconda/bin
++++SYSP=/home/travis/miniconda
++++'[' -n '' ']'
++++PATH=/home/travis/miniconda/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin
++++export PATH
+++++PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
+++++/home/travis/miniconda/bin/conda shell.posix activate testenv
++++ask_conda='PS1='\''(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '\''
export PATH='\''/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/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 CONDA_PREFIX='\''/home/travis/miniconda/envs/testenv'\''
export CONDA_SHLVL='\''1'\''
export CONDA_DEFAULT_ENV='\''testenv'\''
export CONDA_PROMPT_MODIFIER='\''(testenv) '\''
export CONDA_EXE='\''/home/travis/miniconda/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/home/travis/miniconda/bin/python'\'''
++++PATH=/home/travis/miniconda/condabin:/home/travis/miniconda/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
++++eval 'PS1='\''(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '\''
export PATH='\''/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/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 CONDA_PREFIX='\''/home/travis/miniconda/envs/testenv'\''
export CONDA_SHLVL='\''1'\''
export CONDA_DEFAULT_ENV='\''testenv'\''
export CONDA_PROMPT_MODIFIER='\''(testenv) '\''
export CONDA_EXE='\''/home/travis/miniconda/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/home/travis/miniconda/bin/python'\'''
+++++PS1='(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
+++++export PATH=/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/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
+++++PATH=/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/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 CONDA_PREFIX=/home/travis/miniconda/envs/testenv
+++++CONDA_PREFIX=/home/travis/miniconda/envs/testenv
+++++export CONDA_SHLVL=1
+++++CONDA_SHLVL=1
+++++export CONDA_DEFAULT_ENV=testenv
+++++CONDA_DEFAULT_ENV=testenv
+++++export 'CONDA_PROMPT_MODIFIER=(testenv) '
+++++CONDA_PROMPT_MODIFIER='(testenv) '
+++++export CONDA_EXE=/home/travis/miniconda/bin/conda
+++++CONDA_EXE=/home/travis/miniconda/bin/conda
+++++export _CE_M=
+++++_CE_M=
+++++export _CE_CONDA=
+++++_CE_CONDA=
+++++export CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python
+++++CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python
++++__conda_hashr
++++'[' -n '' ']'
++++'[' -n '' ']'
++++hash -r
+++[[ 3.4 == \3\.\4 ]]
+++pip install pytest==3.5
Collecting pytest==3.5
  Downloading https://files.pythonhosted.org/packages/ed/96/271c93f75212c06e2a7ec3e2fa8a9c90acee0a4838dc05bf379ea09aae31/pytest-3.5.0-py2.py3-none-any.whl (194kB)
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Collecting attrs>=17.4.0 (from pytest==3.5)
  Downloading https://files.pythonhosted.org/packages/23/96/d828354fa2dbdf216eaa7b7de0db692f12c234f7ef888cc14980ef40d1d2/attrs-19.1.0-py2.py3-none-any.whl
Collecting pluggy<0.7,>=0.5 (from pytest==3.5)
  Downloading https://files.pythonhosted.org/packages/ba/65/ded3bc40bbf8d887f262f150fbe1ae6637765b5c9534bd55690ed2c0b0f7/pluggy-0.6.0-py3-none-any.whl
Requirement already satisfied: py>=1.5.0 in /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages (from pytest==3.5)
Requirement already satisfied: setuptools in /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages (from pytest==3.5)
Collecting more-itertools>=4.0.0 (from pytest==3.5)
  Downloading https://files.pythonhosted.org/packages/45/dc/3241eef99eb45f1def35cf93af35d1cf9ef4c0991792583b8f33ea41b092/more_itertools-7.2.0-py3-none-any.whl (57kB)
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Collecting six>=1.10.0 (from pytest==3.5)
  Downloading https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl
Installing collected packages: attrs, pluggy, more-itertools, six, pytest
  Found existing installation: pytest 3.2.2
    Uninstalling pytest-3.2.2:
      Successfully uninstalled pytest-3.2.2
Successfully installed attrs-19.1.0 more-itertools-7.2.0 pluggy-0.6.0 pytest-3.5.0 six-1.12.0
+++[[ true == \t\r\u\e ]]
+++pip install coverage codecov
Requirement already satisfied: coverage in /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages
Collecting codecov
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Collecting requests>=2.7.9 (from codecov)
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Collecting certifi>=2017.4.17 (from requests>=2.7.9->codecov)
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Collecting idna<2.9,>=2.5 (from requests>=2.7.9->codecov)
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Collecting chardet<3.1.0,>=3.0.2 (from requests>=2.7.9->codecov)
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Installing collected packages: certifi, idna, urllib3, chardet, requests, codecov
  Found existing installation: certifi 2017.1.23
    DEPRECATION: Uninstalling a distutils installed project (certifi) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
    Uninstalling certifi-2017.1.23:
      Successfully uninstalled certifi-2017.1.23
Successfully installed certifi-2019.6.16 chardet-3.0.4 codecov-2.0.15 idna-2.8 requests-2.21.0 urllib3-1.24.3
+++[[ '' == \t\r\u\e ]]
+++python --version
Python 3.4.5
+++python -c 'import numpy; print('\''numpy %s'\'' % numpy.__version__)'
numpy 1.10.4
+++python -c 'import scipy; print('\''scipy %s'\'' % scipy.__version__)'
scipy 0.17.1
+++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/miniconda/envs/testenv/lib']
  NOT AVAILABLE
openblas_info:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/distutils/system_info.py:635: UserWarning: Specified path  is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
  libraries openblas not found in []
Runtime library openblas was not found. Ignoring
  FOUND:
    library_dirs = ['/home/travis/miniconda/envs/testenv/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    libraries = ['openblas', 'openblas']
  FOUND:
    library_dirs = ['/home/travis/miniconda/envs/testenv/lib']
    language = c
    define_macros = [('HAVE_CBLAS', None)]
    libraries = ['openblas', 'openblas']
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
Compiling sklearn/__check_build/_check_build.pyx because it changed.
Compiling sklearn/cluster/_dbscan_inner.pyx because it changed.
Compiling sklearn/cluster/_hierarchical.pyx because it changed.
Compiling sklearn/cluster/_k_means_elkan.pyx because it changed.
Compiling sklearn/cluster/_k_means.pyx because it changed.
Compiling sklearn/datasets/_svmlight_format.pyx because it changed.
Compiling sklearn/decomposition/_online_lda.pyx because it changed.
Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed.
Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed.
Compiling sklearn/feature_extraction/_hashing.pyx because it changed.
Compiling sklearn/manifold/_utils.pyx because it changed.
Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed.
Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed.
Compiling sklearn/metrics/pairwise_fast.pyx because it changed.
Compiling sklearn/neighbors/ball_tree.pyx because it changed.
Compiling sklearn/neighbors/kd_tree.pyx because it changed.
Compiling sklearn/neighbors/dist_metrics.pyx because it changed.
Compiling sklearn/neighbors/typedefs.pyx because it changed.
Compiling sklearn/neighbors/quad_tree.pyx because it changed.
Compiling sklearn/tree/_tree.pyx because it changed.
Compiling sklearn/tree/_splitter.pyx because it changed.
Compiling sklearn/tree/_criterion.pyx because it changed.
Compiling sklearn/tree/_utils.pyx because it changed.
Compiling sklearn/svm/libsvm.pyx because it changed.
Compiling sklearn/svm/liblinear.pyx because it changed.
Compiling sklearn/svm/libsvm_sparse.pyx because it changed.
Compiling sklearn/_isotonic.pyx because it changed.
Compiling sklearn/linear_model/cd_fast.pyx because it changed.
Compiling sklearn/linear_model/sgd_fast.pyx because it changed.
Compiling sklearn/linear_model/sag_fast.pyx because it changed.
Compiling sklearn/utils/sparsefuncs_fast.pyx because it changed.
Compiling sklearn/utils/arrayfuncs.pyx because it changed.
Compiling sklearn/utils/murmurhash.pyx because it changed.
Compiling sklearn/utils/lgamma.pyx because it changed.
Compiling sklearn/utils/graph_shortest_path.pyx because it changed.
Compiling sklearn/utils/fast_dict.pyx because it changed.
Compiling sklearn/utils/seq_dataset.pyx because it changed.
Compiling sklearn/utils/weight_vector.pyx because it changed.
Compiling sklearn/utils/_random.pyx because it changed.
Compiling sklearn/utils/_logistic_sigmoid.pyx because it changed.
[ 1/40] Cythonizing sklearn/__check_build/_check_build.pyx
[ 2/40] Cythonizing sklearn/_isotonic.pyx
[ 3/40] Cythonizing sklearn/cluster/_dbscan_inner.pyx
[ 4/40] Cythonizing sklearn/cluster/_hierarchical.pyx
[ 5/40] Cythonizing sklearn/cluster/_k_means.pyx
[ 6/40] Cythonizing sklearn/cluster/_k_means_elkan.pyx
[ 7/40] Cythonizing sklearn/datasets/_svmlight_format.pyx
[ 8/40] Cythonizing sklearn/decomposition/_online_lda.pyx
[ 9/40] Cythonizing sklearn/decomposition/cdnmf_fast.pyx
[10/40] Cythonizing sklearn/ensemble/_gradient_boosting.pyx
[11/40] Cythonizing sklearn/feature_extraction/_hashing.pyx
[12/40] Cythonizing sklearn/linear_model/cd_fast.pyx
[13/40] Cythonizing sklearn/linear_model/sag_fast.pyx
[14/40] Cythonizing sklearn/linear_model/sgd_fast.pyx
[15/40] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx
[16/40] Cythonizing sklearn/manifold/_utils.pyx
[17/40] Cythonizing sklearn/metrics/cluster/expected_mutual_info_fast.pyx
[18/40] Cythonizing sklearn/metrics/pairwise_fast.pyx
[19/40] Cythonizing sklearn/neighbors/ball_tree.pyx
[20/40] Cythonizing sklearn/neighbors/dist_metrics.pyx
[21/40] Cythonizing sklearn/neighbors/kd_tree.pyx
[22/40] Cythonizing sklearn/neighbors/quad_tree.pyx
[23/40] Cythonizing sklearn/neighbors/typedefs.pyx
[24/40] Cythonizing sklearn/svm/liblinear.pyx
[25/40] Cythonizing sklearn/svm/libsvm.pyx
[26/40] Cythonizing sklearn/svm/libsvm_sparse.pyx
[27/40] Cythonizing sklearn/tree/_criterion.pyx
[28/40] Cythonizing sklearn/tree/_splitter.pyx
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[32/40] Cythonizing sklearn/utils/_random.pyx
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[34/40] Cythonizing sklearn/utils/fast_dict.pyx
[35/40] Cythonizing sklearn/utils/graph_shortest_path.pyx
[36/40] Cythonizing sklearn/utils/lgamma.pyx
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[38/40] Cythonizing sklearn/utils/seq_dataset.pyx
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[40/40] Cythonizing sklearn/utils/weight_vector.pyx
running develop
running build_scripts
running egg_info
running build_src
build_src
building library "libsvm-skl" 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 scikit_learn.egg-info/PKG-INFO
writing dependency_links to scikit_learn.egg-info/dependency_links.txt
writing requirements to scikit_learn.egg-info/requires.txt
writing top-level names to scikit_learn.egg-info/top_level.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++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build
creating build/temp.linux-x86_64-3.4
creating build/temp.linux-x86_64-3.4/sklearn
creating build/temp.linux-x86_64-3.4/sklearn/svm
creating build/temp.linux-x86_64-3.4/sklearn/svm/src
creating build/temp.linux-x86_64-3.4/sklearn/svm/src/libsvm
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/svm/src/libsvm/libsvm_template.cpp
ar: adding 1 object files to build/temp.linux-x86_64-3.4/liblibsvm-skl.a
customize UnixCCompiler
customize UnixCCompiler using build_ext
resetting extension 'sklearn.svm.liblinear' language from 'c' to 'c++'.
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/__check_build
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/__check_build/_check_build.c
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/__check_build/_check_build.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/__check_build/_check_build.cpython-34m.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/cluster
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_dbscan_inner.cpp:470:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_dbscan_inner.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/cluster/_dbscan_inner.cpython-34m.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/cluster/_hierarchical.cpp
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_hierarchical.cpp:468:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_hierarchical.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/cluster/_hierarchical.cpython-34m.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/cluster/_k_means_elkan.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means_elkan.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_k_means_elkan.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/cluster/_k_means_elkan.cpython-34m.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/cluster/_k_means.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means.c:468:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:3610:15: 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:4396:15: 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:5888:15: 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:6739:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_ddot;
               ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_k_means.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/cluster/_k_means.cpython-34m.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/datasets
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/datasets/_svmlight_format.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/datasets/_svmlight_format.c:451:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/datasets/_svmlight_format.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/datasets/_svmlight_format.cpython-34m.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/decomposition
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/decomposition/_online_lda.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/decomposition/_online_lda.c:454:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/decomposition/_online_lda.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/decomposition/_online_lda.cpython-34m.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/decomposition/cdnmf_fast.c
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/decomposition/cdnmf_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/decomposition/cdnmf_fast.cpython-34m.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/ensemble
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/ensemble/_gradient_boosting.c:450:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/ensemble/_gradient_boosting.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/ensemble/_gradient_boosting.cpython-34m.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/feature_extraction
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/feature_extraction/_hashing.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/feature_extraction/_hashing.c:454:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/feature_extraction/_hashing.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/feature_extraction/_hashing.cpython-34m.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/manifold
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O3'
gcc: sklearn/manifold/_utils.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_utils.c:458:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/manifold/_utils.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/manifold/_utils.cpython-34m.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O4'
gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_barnes_hut_tsne.c:469:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:3221:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable]
   float __pyx_v_force[3];
         ^
sklearn/manifold/_barnes_hut_tsne.c:3220:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable]
   float __pyx_v_iQ[1];
         ^
sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient.isra.29’:
sklearn/manifold/_barnes_hut_tsne.c:3122:83: 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:2798:9: note: ‘__pyx_v_buff[1]’ was declared here
   float __pyx_v_buff[3];
         ^
sklearn/manifold/_barnes_hut_tsne.c:3122:83: 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:2798:9: note: ‘__pyx_v_buff[0]’ was declared here
   float __pyx_v_buff[3];
         ^
sklearn/manifold/_barnes_hut_tsne.c:3654:74: 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:3222:9: note: ‘__pyx_v_neg_force[2]’ was declared here
   float __pyx_v_neg_force[3];
         ^
sklearn/manifold/_barnes_hut_tsne.c:3654:74: 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:3222:9: note: ‘__pyx_v_neg_force[1]’ was declared here
   float __pyx_v_neg_force[3];
         ^
sklearn/manifold/_barnes_hut_tsne.c:3654:74: 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:3222:9: note: ‘__pyx_v_neg_force[0]’ was declared here
   float __pyx_v_neg_force[3];
         ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/manifold/_barnes_hut_tsne.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lpython3.4m -o sklearn/manifold/_barnes_hut_tsne.cpython-34m.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/metrics
creating build/temp.linux-x86_64-3.4/sklearn/metrics/cluster
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/cluster/expected_mutual_info_fast.c:454:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/metrics/cluster/expected_mutual_info_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/metrics/cluster/expected_mutual_info_fast.cpython-34m.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/metrics/pairwise_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/pairwise_fast.c:467:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/metrics/pairwise_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/metrics/pairwise_fast.cpython-34m.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/neighbors
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/neighbors/ball_tree.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/ball_tree.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_depthfirst’:
sklearn/neighbors/ball_tree.c:20902:63: 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_ERR(0, 2374, __pyx_L1_error)
                                                               ^
sklearn/neighbors/ball_tree.c:20579:50: 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:23549:52: 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:19705:50: note: ‘__pyx_v_sample_weight’ was declared here
   __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
                                                  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/ball_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/ball_tree.cpython-34m.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/neighbors/kd_tree.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/kd_tree.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst’:
sklearn/neighbors/kd_tree.c:20873:63: 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_ERR(0, 2374, __pyx_L1_error)
                                                               ^
sklearn/neighbors/kd_tree.c:20550:50: 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:23520:52: 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:19676:50: note: ‘__pyx_v_sample_weight’ was declared here
   __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight;
                                                  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/kd_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/kd_tree.cpython-34m.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/neighbors/dist_metrics.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/dist_metrics.c:454:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:6712:94: 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_ERR(1, 463, __pyx_L1_error)
                                                                                              ^
sklearn/neighbors/dist_metrics.c:6517:54: 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:7523:93: 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_ERR(1, 552, __pyx_L1_error)
                                                                                             ^
sklearn/neighbors/dist_metrics.c:7444:54: 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:8223:94: 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_ERR(1, 611, __pyx_L1_error)
                                                                                              ^
sklearn/neighbors/dist_metrics.c:8038:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^
sklearn/neighbors/dist_metrics.c: In function ���__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’:
sklearn/neighbors/dist_metrics.c:9081:95: 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_ERR(1, 684, __pyx_L1_error)
                                                                                               ^
sklearn/neighbors/dist_metrics.c:8841:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’
 static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
                                                      ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/dist_metrics.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/dist_metrics.cpython-34m.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/neighbors/typedefs.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/typedefs.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/typedefs.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/typedefs.cpython-34m.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/neighbors/quad_tree.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/quad_tree.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:2710:1: 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__get_cell_ndarray’:
sklearn/neighbors/quad_tree.c:6994:3: 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_ERR(0, 574, __pyx_L1_error)
   ^
sklearn/neighbors/quad_tree.c:6994:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’
sklearn/neighbors/quad_tree.c: At top level:
sklearn/neighbors/quad_tree.c:7419:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes]
 static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
                  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/quad_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/quad_tree.cpython-34m.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/tree
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O3'
gcc: sklearn/tree/_tree.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_tree.c:456:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:14116:3: 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_ERR(0, 1123, __pyx_L1_error)
   ^
sklearn/tree/_tree.c:14116:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’
sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build’:
sklearn/tree/_tree.c:5361:13: warning: ���__pyx_v_split_node_right.improvement’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.improvement’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity_right’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity_right’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity_left’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity_left’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.is_leaf’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.is_leaf’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.depth’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.depth’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.pos’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.pos’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.end’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.end’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.start’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.start’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.node_id’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.node_id’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.node_id’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.node_id’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.end’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.end’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.pos’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.pos’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.is_leaf’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.is_leaf’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity_left’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity_left’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity_right’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity_right’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.improvement’ may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error)
             ^
sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.improvement’ was declared here
   struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left;
                                                            ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_tree.cpython-34m.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O3'
gcc: sklearn/tree/_splitter.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_splitter.c:456:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_splitter.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_splitter.cpython-34m.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O3'
gcc: sklearn/tree/_criterion.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_criterion.c:456:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_criterion.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_criterion.cpython-34m.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
extra options: '-O3'
gcc: sklearn/tree/_utils.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_utils.c:456:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’:
sklearn/tree/_utils.c:8755:142: 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:8707:43: 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:8867:142: 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:8790:10: 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:8399:140: 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:8349:43: note: ‘__pyx_v_original_median’ was declared here
   __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median;
                                           ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_utils.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_utils.cpython-34m.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/svm/libsvm.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm.c:458:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/libsvm.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -llibsvm-skl -lpython3.4m -o sklearn/svm/libsvm.cpython-34m.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/svm/liblinear.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/liblinear.c:469:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:472:0:
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;
                            ^
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/svm/src/liblinear/tron.cpp
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;
      ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/liblinear.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/linear.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/svm/liblinear.cpython-34m.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/svm/libsvm_sparse.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm_sparse.c:456:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/libsvm_sparse.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -llibsvm-skl -lpython3.4m -o sklearn/svm/libsvm_sparse.cpython-34m.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/_isotonic.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/_isotonic.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/_isotonic.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/_isotonic.cpython-34m.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/linear_model
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/linear_model/cd_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/cd_fast.c:468:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:4711:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_gemv = cblas_sgemv;
                ^
sklearn/linear_model/cd_fast.c:4720:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:4729:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:4738:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c:4747:16: 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:6094:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_gemv = cblas_dgemv;
                ^
sklearn/linear_model/cd_fast.c:6103:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:6112:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:6121:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c:6130:16: 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:8275:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:8284:16: 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:10215:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:10224:16: 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:12655:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:12664:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_axpy = cblas_saxpy;
                ^
sklearn/linear_model/cd_fast.c:12673:16: 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:14158:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:14167:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_axpy = cblas_daxpy;
                ^
sklearn/linear_model/cd_fast.c:14176:16: 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:16272:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_sdot;
               ^
sklearn/linear_model/cd_fast.c:16281:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_nrm2 = cblas_snrm2;
                ^
sklearn/linear_model/cd_fast.c:16290:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_asum = cblas_sasum;
                ^
sklearn/linear_model/cd_fast.c:16299:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_copy = cblas_scopy;
                ^
sklearn/linear_model/cd_fast.c:16317:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_ger = cblas_sger;
               ^
sklearn/linear_model/cd_fast.c:16326:16: 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:17979:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_dot = cblas_ddot;
               ^
sklearn/linear_model/cd_fast.c:17988:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_nrm2 = cblas_dnrm2;
                ^
sklearn/linear_model/cd_fast.c:17997:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_asum = cblas_dasum;
                ^
sklearn/linear_model/cd_fast.c:18006:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_copy = cblas_dcopy;
                ^
sklearn/linear_model/cd_fast.c:18024:15: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_ger = cblas_dger;
               ^
sklearn/linear_model/cd_fast.c:18033:16: warning: assignment from incompatible pointer type [enabled by default]
   __pyx_v_gemv = cblas_dgemv;
                ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/cd_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/linear_model/cd_fast.cpython-34m.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/linear_model/sgd_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sgd_fast.c:469:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/sgd_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/linear_model/sgd_fast.cpython-34m.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/linear_model/sag_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sag_fast.c:451:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/sag_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/linear_model/sag_fast.cpython-34m.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/utils
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsefuncs_fast.c:448:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/sparsefuncs_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/sparsefuncs_fast.cpython-34m.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/arrayfuncs.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/arrayfuncs.c:467:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/arrayfuncs.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/utils/arrayfuncs.cpython-34m.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/murmurhash.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/murmurhash.c:449:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build/temp.linux-x86_64-3.4/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/utils/src/MurmurHash3.cpp
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/murmurhash.o build/temp.linux-x86_64-3.4/sklearn/utils/src/MurmurHash3.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/murmurhash.cpython-34m.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/src/gamma.c
gcc: sklearn/utils/lgamma.c
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/lgamma.o build/temp.linux-x86_64-3.4/sklearn/utils/src/gamma.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/lgamma.cpython-34m.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/graph_shortest_path.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:450:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/graph_shortest_path.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/graph_shortest_path.cpython-34m.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
g++: sklearn/utils/fast_dict.cpp
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/fast_dict.cpp:474:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated 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:22206:48: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized]
             return PyInt_FromLong((long) value);
                                                ^
sklearn/utils/fast_dict.cpp:3836:46: note: ‘__pyx_v_min_key’ was declared here
   __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
                                              ^
/usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/fast_dict.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/fast_dict.cpython-34m.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/seq_dataset.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/seq_dataset.c:450:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/seq_dataset.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/seq_dataset.cpython-34m.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/weight_vector.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/weight_vector.c:467:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/weight_vector.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/utils/weight_vector.cpython-34m.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/_random.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_random.c:453:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/_random.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/_random.cpython-34m.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c'
gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:454:
/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/_logistic_sigmoid.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/_logistic_sigmoid.cpython-34m.so
Creating /home/travis/miniconda/envs/testenv/lib/python3.4/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==0.17.1
Best match: scipy 0.17.1
Adding scipy 0.17.1 to easy-install.pth file
Using /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages
Searching for numpy==1.10.4
Best match: numpy 1.10.4
Adding numpy 1.10.4 to easy-install.pth file
Using /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages
Finished processing dependencies for scikit-learn==0.20.4
+++ccache --show-stats
cache directory                     /home/travis/.ccache
cache hit (direct)                     0
cache hit (preprocessed)               0
cache miss                            45
called for link                        7
files in cache                        90
cache size                          39.3 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=1563868300951411128
+local duration
+duration=265782435263
+echo -en 'travis_time:end:012630b4:start=1563868035168975865,finish=1563868300951411128,duration=265782435263\r\033[0K'
travis_time:end:012630b4:start=1563868035168975865,finish=1563868300951411128,duration=265782435263
+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 "${1}" in
+break
+[[ -n true ]]
+travis_time_start
++printf %08x 20913115
+TRAVIS_TIMER_ID=013f1bdb
++travis_nanoseconds
++local cmd=date
++local format=+%s%N
++hash gdate
++[[ linux == osx ]]
++date -u +%s%N
+TRAVIS_TIMER_START_TIME=1563868300960188505
+export TRAVIS_TIMER_ID TRAVIS_TIMER_START_TIME
+echo -en 'travis_time:start:013f1bdb\r\033[0K'
travis_time:start:013f1bdb
+[[ -n true ]]
+echo '$ 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 3.4.5
numpy 1.10.4
scipy 0.17.1
2 CPUs
+pytest --showlocals --durations=20 --pyargs --cov sklearn sklearn
Traceback (most recent call last):
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 397, in load_setuptools_entrypoints
    plugin = ep.load()
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 2290, in load
    self.require(*args, **kwargs)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 2307, in require
    items = working_set.resolve(reqs, env, installer)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 854, in resolve
    raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.VersionConflict: (pytest 3.5.0 (/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages), Requirement.parse('pytest>=3.6'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/home/travis/miniconda/envs/testenv/bin/pytest", line 11, in <module>
    sys.exit(main())
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 52, in main
    config = _prepareconfig(args, plugins)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 163, in _prepareconfig
    pluginmanager=pluginmanager, args=args)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 617, in __call__
    return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 222, in _hookexec
    return self._inner_hookexec(hook, methods, kwargs)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 216, in <lambda>
    firstresult=hook.spec_opts.get('firstresult'),
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 196, in _multicall
    gen.send(outcome)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/helpconfig.py", line 68, in pytest_cmdline_parse
    config = outcome.get_result()
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 76, in get_result
    raise ex[1].with_traceback(ex[2])
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 180, in _multicall
    res = hook_impl.function(*args)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 936, in pytest_cmdline_parse
    self.parse(args)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 1086, in parse
    self._preparse(args, addopts=addopts)
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 1048, in _preparse
    self.pluginmanager.load_setuptools_entrypoints('pytest11')
  File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 402, in load_setuptools_entrypoints
    "Plugin %r could not be loaded: %s!" % (ep.name, e))
pluggy.PluginValidationError: Plugin 'pytest_cov' could not be loaded: (pytest 3.5.0 (/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages), Requirement.parse('pytest>=3.6'))!