travis_fold:start:worker_info Worker information hostname: dad274da-c0df-4fab-a9f5-73e1d27e2dc9@1.production-2-worker-org-gce-tnvj version: v6.2.0 https://github.com/travis-ci/worker/tree/5e5476e01646095f48eec13196fdb3faf8f5cbf7 instance: travis-job-d8cd95a5-12bb-405c-b7db-d9b72900f816 travis-ci-garnet-trusty-1512502259-986baf0 (via amqp) startup: 5.962045972s travis_fold:end:worker_info travis_fold:start:system_info Build system information Build language: python Build group: stable Build dist: trusty Build id: 562431227 Job id: 562431228 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 . 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 3622 travis_fold:end:docker_mtu travis_fold:start:resolvconf resolvconf stop/waiting resolvconf start/running travis_fold:end:resolvconf travis_fold:start:apt Installing APT Packages travis_time:start:3c17a098 $ travis_apt_get_update travis_time:end:3c17a098:start=1563862812463398897,finish=1563862818533710938,duration=6070312041 travis_time:start:101766f7 $ sudo -E apt-get -yq --no-install-suggests --no-install-recommends $(travis_apt_get_options) install python-scipy libatlas3-base libatlas-dev Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: cpp-4.8 g++-4.8 gcc-4.8 gcc-4.8-base libamd2.3.1 libasan0 libatomic1 libblas-dev libblas3 libcamd2.3.1 libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libgcc-4.8-dev libgfortran3 libgomp1 libitm1 libquadmath0 libstdc++-4.8-dev libstdc++6 libtsan0 libumfpack5.6.2 python-decorator python-numpy Suggested packages: gcc-4.8-locales g++-4.8-multilib gcc-4.8-doc libstdc++6-4.8-dbg gcc-4.8-multilib libgcc1-dbg libgomp1-dbg libitm1-dbg libatomic1-dbg libasan0-dbg libtsan0-dbg libquadmath0-dbg liblapack-dev liblapack-doc liblapack3 libstdc++-4.8-doc gfortran python-nose python-numpy-dbg python-numpy-doc Recommended packages: python-imaging The following NEW packages will be installed: libamd2.3.1 libatlas-dev libatlas3-base libblas-dev libblas3 libcamd2.3.1 libccolamd2.8.0 libcholmod2.1.2 libcolamd2.8.0 libgfortran3 libumfpack5.6.2 python-decorator python-numpy python-scipy The following packages will be upgraded: cpp-4.8 g++-4.8 gcc-4.8 gcc-4.8-base libasan0 libatomic1 libgcc-4.8-dev libgomp1 libitm1 libquadmath0 libstdc++-4.8-dev libstdc++6 libtsan0 13 upgraded, 14 newly installed, 0 to remove and 291 not upgraded. Need to get 44.3 MB of archives. After this operation, 61.1 MB of additional disk space will be used. Get:1 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libatomic1 amd64 4.8.4-2ubuntu1~14.04.4 [8,630 B] Get:2 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libitm1 amd64 4.8.4-2ubuntu1~14.04.4 [28.6 kB] Get:3 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgomp1 amd64 4.8.4-2ubuntu1~14.04.4 [23.1 kB] Get:4 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libasan0 amd64 4.8.4-2ubuntu1~14.04.4 [63.1 kB] Get:5 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libtsan0 amd64 4.8.4-2ubuntu1~14.04.4 [94.8 kB] Get:6 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libquadmath0 amd64 4.8.4-2ubuntu1~14.04.4 [126 kB] Get:7 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 g++-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [18.0 MB] Get:8 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 gcc-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [5,040 kB] Get:9 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 cpp-4.8 amd64 4.8.4-2ubuntu1~14.04.4 [4,452 kB] Get:10 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libstdc++-4.8-dev amd64 4.8.4-2ubuntu1~14.04.4 [1,051 kB] Get:11 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgcc-4.8-dev amd64 4.8.4-2ubuntu1~14.04.4 [1,688 kB] Get:12 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 gcc-4.8-base amd64 4.8.4-2ubuntu1~14.04.4 [16.7 kB] Get:13 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libstdc++6 amd64 4.8.4-2ubuntu1~14.04.4 [260 kB] Get:14 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libamd2.3.1 amd64 1:4.2.1-3ubuntu1 [23.5 kB] Get:15 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcamd2.3.1 amd64 1:4.2.1-3ubuntu1 [21.9 kB] Get:16 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libccolamd2.8.0 amd64 1:4.2.1-3ubuntu1 [23.3 kB] Get:17 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libblas3 amd64 1.2.20110419-7 [215 kB] Get:18 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 libgfortran3 amd64 4.8.4-2ubuntu1~14.04.4 [248 kB] Get:19 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 libatlas3-base amd64 3.10.1-4 [2,677 kB] Get:20 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcolamd2.8.0 amd64 1:4.2.1-3ubuntu1 [17.7 kB] Get:21 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libcholmod2.1.2 amd64 1:4.2.1-3ubuntu1 [281 kB] Get:22 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libumfpack5.6.2 amd64 1:4.2.1-3ubuntu1 [214 kB] Get:23 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 libblas-dev amd64 1.2.20110419-7 [240 kB] Get:24 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 libatlas-dev all 3.10.1-4 [22.7 kB] Get:25 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/main amd64 python-decorator all 3.4.0-2build1 [19.2 kB] Get:26 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty-updates/main amd64 python-numpy amd64 1:1.8.2-0ubuntu0.1 [1,603 kB] Get:27 http://us-east-1.ec2.archive.ubuntu.com/ubuntu trusty/universe amd64 python-scipy amd64 0.13.3-1build1 [7,862 kB] Fetched 44.3 MB in 1s (36.5 MB/s) (Reading database ... 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(Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 93695 files and directories currently installed.) Preparing to unpack .../libamd2.3.1_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libamd2.3.1:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libcamd2.3.1:amd64. Preparing to unpack .../libcamd2.3.1_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libcamd2.3.1:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libccolamd2.8.0:amd64. Preparing to unpack .../libccolamd2.8.0_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libccolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libblas3. Preparing to unpack .../libblas3_1.2.20110419-7_amd64.deb ... Unpacking libblas3 (1.2.20110419-7) ... Selecting previously unselected package libgfortran3:amd64. Preparing to unpack .../libgfortran3_4.8.4-2ubuntu1~14.04.4_amd64.deb ... Unpacking libgfortran3:amd64 (4.8.4-2ubuntu1~14.04.4) ... Selecting previously unselected package libatlas3-base. Preparing to unpack .../libatlas3-base_3.10.1-4_amd64.deb ... Unpacking libatlas3-base (3.10.1-4) ... Selecting previously unselected package libcolamd2.8.0:amd64. Preparing to unpack .../libcolamd2.8.0_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libcolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libcholmod2.1.2:amd64. Preparing to unpack .../libcholmod2.1.2_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libcholmod2.1.2:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libumfpack5.6.2:amd64. Preparing to unpack .../libumfpack5.6.2_1%3a4.2.1-3ubuntu1_amd64.deb ... Unpacking libumfpack5.6.2:amd64 (1:4.2.1-3ubuntu1) ... Selecting previously unselected package libblas-dev. Preparing to unpack .../libblas-dev_1.2.20110419-7_amd64.deb ... Unpacking libblas-dev (1.2.20110419-7) ... Selecting previously unselected package libatlas-dev. Preparing to unpack .../libatlas-dev_3.10.1-4_all.deb ... Unpacking libatlas-dev (3.10.1-4) ... Selecting previously unselected package python-decorator. Preparing to unpack .../python-decorator_3.4.0-2build1_all.deb ... Unpacking python-decorator (3.4.0-2build1) ... Selecting previously unselected package python-numpy. Preparing to unpack .../python-numpy_1%3a1.8.2-0ubuntu0.1_amd64.deb ... Unpacking python-numpy (1:1.8.2-0ubuntu0.1) ... Selecting previously unselected package python-scipy. Preparing to unpack .../python-scipy_0.13.3-1build1_amd64.deb ... Unpacking python-scipy (0.13.3-1build1) ... Processing triggers for man-db (2.6.7.1-1ubuntu1) ... Setting up libatomic1:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libitm1:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libgomp1:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libasan0:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libtsan0:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libquadmath0:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up cpp-4.8 (4.8.4-2ubuntu1~14.04.4) ... Setting up libgcc-4.8-dev:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up gcc-4.8 (4.8.4-2ubuntu1~14.04.4) ... Setting up libstdc++-4.8-dev:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up g++-4.8 (4.8.4-2ubuntu1~14.04.4) ... Setting up libamd2.3.1:amd64 (1:4.2.1-3ubuntu1) ... Setting up libcamd2.3.1:amd64 (1:4.2.1-3ubuntu1) ... Setting up libccolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ... Setting up libblas3 (1.2.20110419-7) ... update-alternatives: using /usr/lib/libblas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode Setting up libgfortran3:amd64 (4.8.4-2ubuntu1~14.04.4) ... Setting up libatlas3-base (3.10.1-4) ... update-alternatives: using /usr/lib/atlas-base/atlas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode update-alternatives: using /usr/lib/atlas-base/atlas/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode Setting up libcolamd2.8.0:amd64 (1:4.2.1-3ubuntu1) ... Setting up libcholmod2.1.2:amd64 (1:4.2.1-3ubuntu1) ... Setting up libumfpack5.6.2:amd64 (1:4.2.1-3ubuntu1) ... Setting up libblas-dev (1.2.20110419-7) ... update-alternatives: using /usr/lib/libblas/libblas.so to provide /usr/lib/libblas.so (libblas.so) in auto mode Setting up libatlas-dev (3.10.1-4) ... Setting up python-decorator (3.4.0-2build1) ... Setting up python-numpy (1:1.8.2-0ubuntu0.1) ... Setting up python-scipy (0.13.3-1build1) ... Processing triggers for libc-bin (2.19-0ubuntu6.13) ... travis_time:end:101766f7:start=1563862818537496675,finish=1563862830197998522,duration=11660501847 travis_fold:end:apt travis_fold:start:git.checkout travis_time:start:0d02efec $ 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) remote: Counting objects: 2% (36/1762) remote: Counting objects: 3% (53/1762) remote: Counting objects: 4% (71/1762) remote: Counting objects: 5% (89/1762) remote: Counting objects: 6% (106/1762) remote: Counting objects: 7% (124/1762) remote: Counting objects: 8% (141/1762) remote: Counting objects: 9% (159/1762) remote: Counting objects: 10% (177/1762) remote: Counting objects: 11% (194/1762) remote: Counting objects: 12% (212/1762) remote: Counting objects: 13% (230/1762) remote: Counting objects: 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remote: Counting objects: 87% (1533/1762) remote: Counting objects: 88% (1551/1762) remote: Counting objects: 89% (1569/1762) remote: Counting objects: 90% (1586/1762) remote: Counting objects: 91% (1604/1762) remote: Counting objects: 92% (1622/1762) remote: Counting objects: 93% (1639/1762) remote: Counting objects: 94% (1657/1762) remote: Counting objects: 95% (1674/1762) remote: Counting objects: 96% (1692/1762) remote: Counting objects: 97% (1710/1762) remote: Counting objects: 98% (1727/1762) 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) remote: Compressing 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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) remote: Total 1762 (delta 420), reused 734 (delta 277), pack-reused 0 Receiving objects: 95% (1674/1762) 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 | 18.50 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% (18/420) Resolving deltas: 7% (31/420) Resolving deltas: 8% (34/420) Resolving deltas: 9% (39/420) Resolving deltas: 10% (42/420) Resolving deltas: 11% (49/420) Resolving deltas: 12% (51/420) Resolving deltas: 13% (55/420) Resolving deltas: 16% (69/420) Resolving deltas: 17% (75/420) Resolving deltas: 19% (83/420) Resolving deltas: 20% (85/420) Resolving deltas: 21% (90/420) Resolving deltas: 22% (93/420) Resolving deltas: 23% (100/420) Resolving deltas: 24% (101/420) Resolving deltas: 25% (106/420) Resolving deltas: 26% (110/420) Resolving deltas: 27% (114/420) Resolving deltas: 28% (118/420) Resolving deltas: 29% (122/420) Resolving deltas: 30% (126/420) Resolving deltas: 31% (131/420) Resolving deltas: 32% (136/420) Resolving deltas: 33% (139/420) Resolving deltas: 34% (143/420) Resolving deltas: 35% (147/420) Resolving deltas: 36% (152/420) Resolving deltas: 37% (156/420) Resolving deltas: 38% (160/420) Resolving deltas: 39% (164/420) Resolving deltas: 44% (186/420) Resolving deltas: 45% (190/420) Resolving deltas: 46% (194/420) 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% (296/420) Resolving deltas: 71% (299/420) Resolving deltas: 72% (303/420) Resolving deltas: 73% (309/420) 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% (350/420) 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% (409/420) Resolving deltas: 98% (412/420) Resolving deltas: 99% (417/420) Resolving deltas: 100% (420/420) Resolving deltas: 100% (420/420), done. travis_time:end:0d02efec:start=1563862830202175945,finish=1563862832884477176,duration=2682301231 $ cd scikit-learn/scikit-learn travis_time:start:03db691f $ git fetch origin +refs/pull/14443/merge: remote: Enumerating objects: 145133 remote: Enumerating objects: 155477, done. remote: Counting objects: 0% (1/155476) remote: Counting objects: 1% (1555/155476) remote: Counting objects: 2% (3110/155476) remote: Counting objects: 3% (4665/155476) remote: Counting objects: 4% (6220/155476) remote: Counting objects: 5% (7774/155476) remote: Counting objects: 6% (9329/155476) remote: Counting objects: 7% (10884/155476) remote: Counting objects: 8% (12439/155476) remote: Counting objects: 9% (13993/155476) remote: Counting objects: 10% (15548/155476) remote: Counting objects: 11% (17103/155476) remote: Counting objects: 12% (18658/155476) remote: Counting objects: 13% (20212/155476) remote: Counting objects: 14% (21767/155476) remote: Counting objects: 15% (23322/155476) remote: Counting objects: 16% (24877/155476) remote: Counting objects: 17% (26431/155476) remote: Counting objects: 18% (27986/155476) remote: Counting objects: 19% (29541/155476) remote: Counting objects: 20% (31096/155476) remote: Counting objects: 21% (32650/155476) remote: Counting objects: 22% (34205/155476) remote: Counting objects: 23% (35760/155476) remote: Counting objects: 24% (37315/155476) remote: Counting objects: 25% (38869/155476) remote: Counting objects: 26% (40424/155476) remote: Counting objects: 27% (41979/155476) remote: Counting objects: 28% (43534/155476) remote: Counting objects: 29% (45089/155476) remote: Counting objects: 30% (46643/155476) remote: Counting objects: 31% (48198/155476) remote: Counting objects: 32% (49753/155476) remote: Counting objects: 33% (51308/155476) remote: Counting objects: 34% (52862/155476) remote: Counting objects: 35% (54417/155476) remote: Counting objects: 36% (55972/155476) remote: Counting objects: 37% (57527/155476) remote: Counting objects: 38% (59081/155476) remote: Counting objects: 39% (60636/155476) remote: Counting objects: 40% (62191/155476) remote: Counting objects: 41% (63746/155476) remote: Counting objects: 42% (65300/155476) remote: Counting objects: 43% (66855/155476) remote: Counting objects: 44% (68410/155476) remote: Counting objects: 45% (69965/155476) remote: Counting objects: 46% (71519/155476) remote: Counting objects: 47% (73074/155476) remote: Counting objects: 48% (74629/155476) remote: Counting objects: 49% (76184/155476) remote: Counting objects: 50% (77738/155476) remote: Counting objects: 51% (79293/155476) remote: Counting objects: 52% (80848/155476) remote: Counting objects: 53% (82403/155476) remote: Counting objects: 54% (83958/155476) remote: Counting objects: 55% (85512/155476) remote: Counting objects: 56% (87067/155476) remote: Counting objects: 57% (88622/155476) remote: Counting objects: 58% (90177/155476) remote: Counting objects: 59% (91731/155476) remote: Counting objects: 60% (93286/155476) remote: Counting objects: 61% (94841/155476) remote: Counting objects: 62% (96396/155476) remote: Counting objects: 63% (97950/155476) remote: Counting objects: 64% (99505/155476) remote: Counting objects: 65% (101060/155476) remote: Counting objects: 66% (102615/155476) remote: Counting objects: 67% (104169/155476) remote: Counting objects: 68% (105724/155476) remote: Counting objects: 69% (107279/155476) remote: Counting objects: 70% (108834/155476) remote: Counting objects: 71% (110388/155476) remote: Counting objects: 72% (111943/155476) remote: Counting objects: 73% (113498/155476) remote: Counting objects: 74% (115053/155476) remote: Counting objects: 75% (116607/155476) remote: Counting objects: 76% (118162/155476) remote: Counting objects: 77% (119717/155476) remote: Counting objects: 78% (121272/155476) remote: Counting objects: 79% (122827/155476) remote: Counting objects: 80% (124381/155476) remote: Counting objects: 81% (125936/155476) remote: Counting objects: 82% (127491/155476) remote: Counting objects: 83% (129046/155476) remote: Counting objects: 84% (130600/155476) remote: Counting objects: 85% (132155/155476) remote: Counting objects: 86% (133710/155476) remote: Counting objects: 87% (135265/155476) remote: Counting objects: 88% (136819/155476) remote: Counting objects: 89% (138374/155476) remote: Counting objects: 90% (139929/155476) remote: Counting objects: 91% (141484/155476) remote: Counting objects: 92% (143038/155476) remote: Counting objects: 93% (144593/155476) remote: Counting objects: 94% (146148/155476) remote: Counting objects: 95% (147703/155476) remote: Counting objects: 96% (149257/155476) remote: Counting objects: 97% (150812/155476) remote: Counting objects: 98% (152367/155476) remote: Counting objects: 99% (153922/155476) remote: Counting objects: 100% (155476/155476) remote: Counting objects: 100% (155476/155476), done. remote: Compressing objects: 0% (1/37802) remote: Compressing objects: 1% (379/37802) remote: Compressing objects: 2% (757/37802) remote: Compressing objects: 3% (1135/37802) remote: Compressing objects: 4% (1513/37802) remote: Compressing objects: 5% (1891/37802) remote: Compressing objects: 6% (2269/37802) remote: Compressing objects: 7% (2647/37802) remote: Compressing objects: 8% (3025/37802) remote: Compressing objects: 9% (3403/37802) remote: Compressing objects: 10% (3781/37802) remote: Compressing objects: 11% (4159/37802) remote: Compressing objects: 12% (4537/37802) remote: Compressing objects: 13% (4915/37802) remote: Compressing objects: 14% (5293/37802) remote: Compressing objects: 15% (5671/37802) remote: Compressing objects: 16% (6049/37802) remote: Compressing objects: 17% (6427/37802) remote: Compressing objects: 18% (6805/37802) remote: Compressing objects: 19% (7183/37802) remote: Compressing objects: 20% (7561/37802) remote: Compressing objects: 21% (7939/37802) remote: Compressing objects: 22% (8317/37802) remote: Compressing objects: 23% (8695/37802) remote: Compressing objects: 24% (9073/37802) remote: Compressing objects: 25% (9451/37802) remote: Compressing objects: 26% (9829/37802) remote: Compressing objects: 27% (10207/37802) remote: Compressing objects: 28% (10585/37802) remote: Compressing objects: 29% (10963/37802) remote: Compressing objects: 30% (11341/37802) remote: Compressing objects: 31% (11719/37802) remote: Compressing objects: 32% (12097/37802) remote: Compressing objects: 33% (12475/37802) remote: Compressing objects: 34% (12853/37802) remote: Compressing objects: 35% (13231/37802) remote: Compressing objects: 36% (13609/37802) remote: Compressing objects: 37% (13987/37802) remote: Compressing objects: 38% (14365/37802) remote: Compressing objects: 39% (14743/37802) remote: Compressing objects: 40% (15121/37802) remote: Compressing objects: 41% (15499/37802) remote: Compressing objects: 42% (15877/37802) remote: Compressing objects: 43% (16255/37802) remote: Compressing objects: 44% (16633/37802) remote: Compressing objects: 45% (17011/37802) remote: Compressing objects: 46% (17389/37802) remote: Compressing objects: 47% (17767/37802) remote: Compressing objects: 48% (18145/37802) remote: Compressing objects: 49% (18523/37802) remote: Compressing objects: 50% (18901/37802) remote: Compressing objects: 51% (19280/37802) remote: Compressing objects: 52% (19658/37802) remote: Compressing objects: 53% (20036/37802) remote: Compressing objects: 54% (20414/37802) remote: Compressing objects: 55% (20792/37802) remote: Compressing objects: 56% (21170/37802) remote: Compressing objects: 57% (21548/37802) remote: Compressing objects: 58% (21926/37802) remote: Compressing objects: 59% (22304/37802) remote: Compressing objects: 60% (22682/37802) remote: Compressing objects: 61% (23060/37802) remote: Compressing objects: 62% (23438/37802) remote: Compressing objects: 63% (23816/37802) remote: Compressing objects: 64% (24194/37802) remote: Compressing objects: 65% (24572/37802) remote: Compressing objects: 66% (24950/37802) remote: Compressing objects: 67% (25328/37802) remote: Compressing objects: 68% (25706/37802) remote: Compressing objects: 69% (26084/37802) remote: Compressing objects: 70% (26462/37802) remote: Compressing objects: 71% (26840/37802) remote: Compressing objects: 72% (27218/37802) remote: Compressing objects: 73% (27596/37802) remote: Compressing objects: 74% (27974/37802) remote: Compressing objects: 75% (28352/37802) remote: Compressing objects: 76% (28730/37802) remote: Compressing objects: 77% (29108/37802) remote: Compressing objects: 78% (29486/37802) remote: Compressing objects: 79% (29864/37802) remote: Compressing objects: 80% (30242/37802) remote: Compressing objects: 81% (30620/37802) remote: Compressing objects: 82% (30998/37802) remote: Compressing objects: 83% (31376/37802) remote: Compressing objects: 84% (31754/37802) remote: Compressing objects: 85% (32132/37802) remote: Compressing objects: 86% (32510/37802) remote: Compressing objects: 87% (32888/37802) remote: Compressing objects: 88% (33266/37802) remote: Compressing objects: 89% (33644/37802) remote: Compressing objects: 90% (34022/37802) remote: Compressing objects: 91% (34400/37802) remote: Compressing objects: 92% (34778/37802) remote: Compressing objects: 93% (35156/37802) remote: Compressing objects: 94% (35534/37802) remote: Compressing objects: 95% (35912/37802) remote: Compressing objects: 96% (36290/37802) remote: Compressing objects: 97% (36668/37802) remote: Compressing objects: 98% (37046/37802) remote: Compressing objects: 99% (37424/37802) remote: Compressing objects: 100% (37802/37802) remote: Compressing objects: 100% (37802/37802), done. Receiving objects: 0% (1/154587) Receiving objects: 1% (1546/154587) Receiving objects: 2% (3092/154587) Receiving objects: 3% (4638/154587) Receiving objects: 4% (6184/154587) Receiving objects: 5% (7730/154587) Receiving objects: 6% (9276/154587) Receiving objects: 7% (10822/154587) Receiving objects: 8% (12367/154587) Receiving objects: 9% (13913/154587) Receiving objects: 10% (15459/154587) Receiving objects: 11% (17005/154587) Receiving objects: 12% (18551/154587) Receiving objects: 13% (20097/154587) Receiving objects: 14% (21643/154587) Receiving objects: 15% (23189/154587) Receiving objects: 16% (24734/154587) Receiving objects: 17% (26280/154587) Receiving objects: 18% (27826/154587) Receiving objects: 19% (29372/154587) Receiving objects: 20% (30918/154587) Receiving objects: 21% (32464/154587) Receiving objects: 22% (34010/154587) Receiving objects: 23% (35556/154587) Receiving objects: 24% (37101/154587) Receiving objects: 25% (38647/154587) Receiving objects: 26% (40193/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 27% (41739/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 28% (43285/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 29% (44831/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 30% (46377/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 31% (47922/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 32% (49468/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 33% (51014/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 34% (52560/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 35% (54106/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 35% (55331/154587), 10.33 MiB | 20.66 MiB/s Receiving objects: 36% (55652/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 37% (57198/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 38% (58744/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 39% (60289/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 40% (61835/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 41% (63381/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 42% (64927/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 43% (66473/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 44% (68019/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 45% (69565/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 46% (71111/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 47% (72656/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 48% (74202/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 49% (75748/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 50% (77294/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 51% (78840/154587), 25.19 MiB | 25.18 MiB/s Receiving objects: 52% (80386/154587), 40.57 MiB | 27.05 MiB/s Receiving objects: 52% (81878/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 53% (81932/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 54% (83477/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 55% (85023/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 56% (86569/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 57% (88115/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 58% (89661/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 59% (91207/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 60% (92753/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 61% (94299/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 62% (95844/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 63% (97390/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 64% (98936/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 65% (100482/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 66% (102028/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 67% (103574/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 68% (105120/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 69% (106666/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 70% (108211/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 71% (109757/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 72% (111303/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 73% (112849/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 74% (114395/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 75% (115941/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 76% (117487/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 77% (119032/154587), 56.61 MiB | 28.30 MiB/s Receiving objects: 78% (120578/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 79% (122124/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 80% (123670/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 81% (125216/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 82% (126762/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 83% (128308/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 84% (129854/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 85% (131399/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 86% (132945/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 87% (134491/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 88% (136037/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 89% (137583/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 90% (139129/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 91% (140675/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 92% (142221/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 93% (143766/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 94% (145312/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 95% (146858/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 96% (148404/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 97% (149950/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 98% (151496/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 99% (153042/154587), 73.72 MiB | 29.49 MiB/s remote: Total 154587 (delta 117683), reused 152914 (delta 116013), pack-reused 0 Receiving objects: 100% (154587/154587), 73.72 MiB | 29.49 MiB/s Receiving objects: 100% (154587/154587), 83.05 MiB | 29.66 MiB/s, done. 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From https://github.com/scikit-learn/scikit-learn * branch refs/pull/14443/merge -> FETCH_HEAD travis_time:end:03db691f:start=1563862832888742182,finish=1563862846282315299,duration=13393573117 $ git checkout -qf FETCH_HEAD travis_fold:end:git.checkout Setting environment variables from .travis.yml $ export TEST_DIR=/tmp/sklearn $ export OMP_NUM_THREADS=4 $ export OPENBLAS_NUM_THREADS=4 $ export DISTRIB="ubuntu" $ export PYTHON_VERSION="2.7" $ export CYTHON_VERSION="0.23.5" $ export COVERAGE=true travis_time:start:1095a372 $ source ~/virtualenv/python3.6/bin/activate travis_time:end:1095a372:start=1563862846460703493,finish=1563862846468927203,duration=8223710 travis_fold:start:cache.1 Setting up build cache $ export CASHER_DIR=${TRAVIS_HOME}/.casher travis_time:start:14d4e652 $ Installing caching utilities travis_time:end:14d4e652:start=1563862851059082308,finish=1563862851263820636,duration=204738328 travis_time:start:05c66ca8 travis_time:end:05c66ca8:start=1563862851269736482,finish=1563862851272842398,duration=3105916 travis_time:start:2b21bef8 attempting to download cache archive fetching PR.14443/cache-linux-trusty-1509ff738231c6497afa89d7c87c29cd358e9a57ea907ba2ecae102489b400c4--python-3.6.tgz found cache travis_time:end:2b21bef8:start=1563862851276897667,finish=1563862852799034471,duration=1522136804 travis_time:start:0dd7097b travis_time:end:0dd7097b:start=1563862852803260546,finish=1563862852806367312,duration=3106766 travis_time:start:06d1dbb8 adding /home/travis/.cache/pip to cache adding /home/travis/.ccache to cache travis_time:end:06d1dbb8:start=1563862852810245941,finish=1563862854610650310,duration=1800404369 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:2c4f3048 $ source build_tools/travis/install.sh List files from cached directories pip: http wheels Set cache size limit to 100.0 Mbytes cache directory /home/travis/.ccache cache hit (direct) 66 cache hit (preprocessed) 35 cache miss 155 called for link 21 files in cache 176 cache size 38.1 Mbytes max cache size 100.0 Mbytes New python executable in /home/travis/build/scikit-learn/scikit-learn/testvenv/bin/python Installing setuptools, pip, wheel...done. DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support Collecting pytest /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:365: SNIMissingWarning: An HTTPS request has been made, but the SNI (Server Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings SNIMissingWarning /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:149: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings InsecurePlatformWarning Using cached https://files.pythonhosted.org/packages/8c/6f/4db6124788e9b281d94693e21e5a40d00f417763dcda10edc8a70655cb92/pytest-4.6.4-py2.py3-none-any.whl Collecting pytest-cov Using cached https://files.pythonhosted.org/packages/84/7b/73f8522619d1cbb22b9a36f9c54bc5ce5e24648e53cc1bf566477d2d1f2b/pytest_cov-2.7.1-py2.py3-none-any.whl Collecting cython==0.23.5 Using cached https://files.pythonhosted.org/packages/50/79/3dfddac3236d9207a9193d4f6d0059882bb5e8bdbe5ebe9afeef633d13aa/Cython-0.23.5-cp27-cp27mu-manylinux1_x86_64.whl Collecting funcsigs>=1.0; python_version < "3.0" (from pytest) Using cached https://files.pythonhosted.org/packages/69/cb/f5be453359271714c01b9bd06126eaf2e368f1fddfff30818754b5ac2328/funcsigs-1.0.2-py2.py3-none-any.whl Collecting pluggy<1.0,>=0.12 (from pytest) Using cached https://files.pythonhosted.org/packages/06/ee/de89e0582276e3551df3110088bf20844de2b0e7df2748406876cc78e021/pluggy-0.12.0-py2.py3-none-any.whl Collecting attrs>=17.4.0 (from pytest) Using cached https://files.pythonhosted.org/packages/23/96/d828354fa2dbdf216eaa7b7de0db692f12c234f7ef888cc14980ef40d1d2/attrs-19.1.0-py2.py3-none-any.whl Collecting pathlib2>=2.2.0; python_version < "3.6" (from pytest) Using cached https://files.pythonhosted.org/packages/67/c6/4dbf5dfdbe1140cadf765c3896acc098578626c35721bc7d3eb35f6a8fc1/pathlib2-2.3.4-py2.py3-none-any.whl Collecting six>=1.10.0 (from pytest) Using cached https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl Collecting importlib-metadata>=0.12 (from pytest) Using cached https://files.pythonhosted.org/packages/bd/23/dce4879ec58acf3959580bfe769926ed8198727250c5e395e6785c764a02/importlib_metadata-0.18-py2.py3-none-any.whl Collecting py>=1.5.0 (from pytest) Using cached https://files.pythonhosted.org/packages/76/bc/394ad449851729244a97857ee14d7cba61ddb268dce3db538ba2f2ba1f0f/py-1.8.0-py2.py3-none-any.whl Collecting more-itertools<6.0.0,>=4.0.0; python_version <= "2.7" (from pytest) Using cached https://files.pythonhosted.org/packages/2f/9d/dcfe59e213093695f108508af1214cf9cd95cc5489e46877ec5cb56369e5/more_itertools-5.0.0-py2-none-any.whl Collecting wcwidth (from pytest) Using cached https://files.pythonhosted.org/packages/7e/9f/526a6947247599b084ee5232e4f9190a38f398d7300d866af3ab571a5bfe/wcwidth-0.1.7-py2.py3-none-any.whl Collecting packaging (from pytest) Using cached https://files.pythonhosted.org/packages/91/32/58bc30e646e55eab8b21abf89e353f59c0cc02c417e42929f4a9546e1b1d/packaging-19.0-py2.py3-none-any.whl Collecting atomicwrites>=1.0 (from pytest) Using cached https://files.pythonhosted.org/packages/52/90/6155aa926f43f2b2a22b01be7241be3bfd1ceaf7d0b3267213e8127d41f4/atomicwrites-1.3.0-py2.py3-none-any.whl Collecting coverage>=4.4 (from pytest-cov) Using cached https://files.pythonhosted.org/packages/d7/ce/8553e6325b16d8c2ccba52eaebe92bb38bb7c64c8f34ad4ef87fd327b9bb/coverage-4.5.3-cp27-cp27mu-manylinux1_x86_64.whl Collecting scandir; python_version < "3.5" (from pathlib2>=2.2.0; python_version < "3.6"->pytest) Collecting configparser>=3.5; python_version < "3" (from importlib-metadata>=0.12->pytest) Using cached https://files.pythonhosted.org/packages/ba/05/6c96328e92e625fc31445d24d75a2c92ef9ba34fc5b037fe69693c362a0d/configparser-3.7.4-py2.py3-none-any.whl Collecting zipp>=0.5 (from importlib-metadata>=0.12->pytest) Using cached https://files.pythonhosted.org/packages/da/bd/1a5fdf15aa44231fd09f63ecf175b60f057ae37ec65b343bb009364923f3/zipp-0.5.2-py2.py3-none-any.whl Collecting contextlib2; python_version < "3" (from importlib-metadata>=0.12->pytest) Using cached https://files.pythonhosted.org/packages/a2/71/8273a7eeed0aff6a854237ab5453bc9aa67deb49df4832801c21f0ff3782/contextlib2-0.5.5-py2.py3-none-any.whl Collecting pyparsing>=2.0.2 (from packaging->pytest) Using cached https://files.pythonhosted.org/packages/9f/dc/b205465a60baca8e04a1555a84d9c79f910661765056f071fb6fc2db4841/pyparsing-2.4.1-py2.py3-none-any.whl Installing collected packages: funcsigs, configparser, zipp, contextlib2, six, scandir, pathlib2, importlib-metadata, pluggy, attrs, py, more-itertools, wcwidth, pyparsing, packaging, atomicwrites, pytest, coverage, pytest-cov, cython Found existing installation: six 1.5.2 Not uninstalling six at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv Can't uninstall 'six'. No files were found to uninstall. Successfully installed atomicwrites-1.3.0 attrs-19.1.0 configparser-3.7.4 contextlib2-0.5.5 coverage-4.5.3 cython-0.23.5 funcsigs-1.0.2 importlib-metadata-0.18 more-itertools-5.0.0 packaging-19.0 pathlib2-2.3.4 pluggy-0.12.0 py-1.8.0 pyparsing-2.4.1 pytest-4.6.4 pytest-cov-2.7.1 scandir-1.10.0 six-1.12.0 wcwidth-0.1.7 zipp-0.5.2 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support Requirement already satisfied: coverage in ./testvenv/lib/python2.7/site-packages (4.5.3) Collecting codecov /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:365: SNIMissingWarning: An HTTPS request has been made, but the SNI (Server Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings SNIMissingWarning /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:149: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings InsecurePlatformWarning Using cached https://files.pythonhosted.org/packages/8b/28/4c1950a61c3c5786f0f34d643d0d28ec832433c9a7c0bd157690d4eb1d5f/codecov-2.0.15-py2.py3-none-any.whl Collecting requests>=2.7.9 (from codecov) Using cached https://files.pythonhosted.org/packages/51/bd/23c926cd341ea6b7dd0b2a00aba99ae0f828be89d72b2190f27c11d4b7fb/requests-2.22.0-py2.py3-none-any.whl Collecting idna<2.9,>=2.5 (from requests>=2.7.9->codecov) Using cached https://files.pythonhosted.org/packages/14/2c/cd551d81dbe15200be1cf41cd03869a46fe7226e7450af7a6545bfc474c9/idna-2.8-py2.py3-none-any.whl Collecting chardet<3.1.0,>=3.0.2 (from requests>=2.7.9->codecov) Using cached https://files.pythonhosted.org/packages/bc/a9/01ffebfb562e4274b6487b4bb1ddec7ca55ec7510b22e4c51f14098443b8/chardet-3.0.4-py2.py3-none-any.whl Collecting certifi>=2017.4.17 (from requests>=2.7.9->codecov) Using cached https://files.pythonhosted.org/packages/69/1b/b853c7a9d4f6a6d00749e94eb6f3a041e342a885b87340b79c1ef73e3a78/certifi-2019.6.16-py2.py3-none-any.whl Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 (from requests>=2.7.9->codecov) Using cached https://files.pythonhosted.org/packages/e6/60/247f23a7121ae632d62811ba7f273d0e58972d75e58a94d329d51550a47d/urllib3-1.25.3-py2.py3-none-any.whl Installing collected packages: idna, chardet, certifi, urllib3, requests, codecov Found existing installation: chardet 2.0.1 Not uninstalling chardet at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv Can't uninstall 'chardet'. No files were found to uninstall. Found existing installation: urllib3 1.7.1 Not uninstalling urllib3 at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv Can't uninstall 'urllib3'. No files were found to uninstall. Found existing installation: requests 2.2.1 Not uninstalling requests at /usr/lib/python2.7/dist-packages, outside environment /home/travis/build/scikit-learn/scikit-learn/testvenv Can't uninstall 'requests'. No files were found to uninstall. Successfully installed certifi-2019.6.16 chardet-3.0.4 codecov-2.0.15 idna-2.8 requests-2.22.0 urllib3-1.25.3 Python 2.7.6 numpy 1.8.2 scipy 0.13.3 Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu'] NOT AVAILABLE openblas_info: libraries not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/x86_64-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/home/travis/build/scikit-learn/scikit-learn/testvenv/lib', '/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/x86_64-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) blas_info: FOUND: libraries = ['blas'] library_dirs = ['/usr/lib'] language = f77 FOUND: libraries = ['blas'] library_dirs = ['/usr/lib'] define_macros = [('NO_ATLAS_INFO', 1)] language = f77 sklearn/setup.py:73: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) missing cimport in module 'sklearn.neighbors': sklearn/manifold/_barnes_hut_tsne.pyx Compiling sklearn/__check_build/_check_build.pyx because it changed. Compiling sklearn/cluster/_dbscan_inner.pyx because it changed. Compiling sklearn/cluster/_hierarchical.pyx because it changed. Compiling sklearn/cluster/_k_means_elkan.pyx because it changed. Compiling sklearn/cluster/_k_means.pyx because it changed. Compiling sklearn/datasets/_svmlight_format.pyx because it changed. Compiling sklearn/decomposition/_online_lda.pyx because it changed. Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed. Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed. Compiling sklearn/feature_extraction/_hashing.pyx because it changed. Compiling sklearn/manifold/_utils.pyx because it changed. Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed. Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed. Compiling sklearn/metrics/pairwise_fast.pyx because it changed. Compiling sklearn/neighbors/ball_tree.pyx because it changed. Compiling sklearn/neighbors/kd_tree.pyx because it changed. Compiling sklearn/neighbors/dist_metrics.pyx because it changed. Compiling sklearn/neighbors/typedefs.pyx because it changed. 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[ 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 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Cythonizing sklearn/utils/sparsefuncs_fast.pyx [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 library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means_elkan" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.neighbors.quad_tree" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files creating scikit_learn.egg-info writing requirements to scikit_learn.egg-info/requires.txt writing scikit_learn.egg-info/PKG-INFO writing top-level names to scikit_learn.egg-info/top_level.txt writing dependency_links to scikit_learn.egg-info/dependency_links.txt writing manifest file 'scikit_learn.egg-info/SOURCES.txt' reading manifest file 'scikit_learn.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' writing manifest file 'scikit_learn.egg-info/SOURCES.txt' running build_ext customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build creating build/temp.linux-x86_64-2.7 creating build/temp.linux-x86_64-2.7/sklearn creating build/temp.linux-x86_64-2.7/sklearn/svm creating build/temp.linux-x86_64-2.7/sklearn/svm/src creating build/temp.linux-x86_64-2.7/sklearn/svm/src/libsvm compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' g++: sklearn/svm/src/libsvm/libsvm_template.cpp ar: adding 1 object files to build/temp.linux-x86_64-2.7/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-x86_64-2.7/sklearn/src creating build/temp.linux-x86_64-2.7/sklearn/src/cblas compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' gcc: sklearn/src/cblas/cblas_dnrm2.c gcc: sklearn/src/cblas/cblas_sgemv.c sklearn/src/cblas/cblas_sgemv.c: In function ‘cblas_sgemv’: sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sgemv", ""); ^ In file included from sklearn/src/cblas/cblas_sgemv.c:32:0: sklearn/src/cblas/cblas_sgemv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_sdot.c gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dger", ""); ^ In file included from sklearn/src/cblas/cblas_dger.c:32:0: sklearn/src/cblas/cblas_dger.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_srefger.c gcc: sklearn/src/cblas/cblas_srot.c In file included from sklearn/src/cblas/cblas_srot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_drot.c In file included from sklearn/src/cblas/cblas_drot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_sasum.c In file included from sklearn/src/cblas/cblas_sasum.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_dsrefdot.c gcc: sklearn/src/cblas/ATL_srefcopy.c gcc: sklearn/src/cblas/cblas_dasum.c In file included from sklearn/src/cblas/cblas_dasum.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_srefrot.c gcc: sklearn/src/cblas/ATL_drefger.c gcc: sklearn/src/cblas/ATL_drefcopy.c gcc: sklearn/src/cblas/cblas_snrm2.c In file included from sklearn/src/cblas/cblas_snrm2.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_drefgemvT.c gcc: sklearn/src/cblas/cblas_scopy.c sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/cblas_scopy.c:46:10: warning: implicit declaration of function ‘ATL_srefcopy’ [-Wimplicit-function-declaration] if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_scopy.c:32:0: sklearn/src/cblas/cblas_scopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_sger.c sklearn/src/cblas/cblas_sger.c: In function ‘cblas_sger’: sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sger", ""); ^ In file included from sklearn/src/cblas/cblas_sger.c:32:0: sklearn/src/cblas/cblas_sger.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_srefasum.c gcc: sklearn/src/cblas/cblas_dscal.c gcc: sklearn/src/cblas/cblas_sscal.c gcc: sklearn/src/cblas/ATL_srefrotg.c gcc: sklearn/src/cblas/ATL_drefasum.c gcc: sklearn/src/cblas/ATL_drefgemvN.c gcc: sklearn/src/cblas/ATL_drefrot.c gcc: sklearn/src/cblas/ATL_srefgemvT.c gcc: sklearn/src/cblas/cblas_srotg.c In file included from sklearn/src/cblas/cblas_srotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] exit(-1); ^ sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] gcc: sklearn/src/cblas/ATL_srefnrm2.c gcc: sklearn/src/cblas/ATL_drefgemv.c gcc: sklearn/src/cblas/cblas_ddot.c gcc: sklearn/src/cblas/cblas_saxpy.c gcc: sklearn/src/cblas/cblas_errprn.c gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dgemv", ""); ^ In file included from sklearn/src/cblas/cblas_dgemv.c:32:0: sklearn/src/cblas/cblas_dgemv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_daxpy.c gcc: sklearn/src/cblas/cblas_drotg.c In file included from sklearn/src/cblas/cblas_drotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/cblas_dcopy.c sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/cblas_dcopy.c:46:10: warning: implicit declaration of function ‘ATL_drefcopy’ [-Wimplicit-function-declaration] if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_dcopy.c:32:0: sklearn/src/cblas/cblas_dcopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ gcc: sklearn/src/cblas/ATL_srefgemvN.c gcc: sklearn/src/cblas/ATL_drefrotg.c gcc: sklearn/src/cblas/ATL_srefgemv.c ar: adding 40 object files to build/temp.linux-x86_64-2.7/libcblas.a customize UnixCCompiler customize UnixCCompiler using build_ext resetting extension 'sklearn.svm.liblinear' language from 'f77' to 'c++'. customize UnixCCompiler customize UnixCCompiler using build_ext customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize IntelFCompiler Could not locate executable ifort Could not locate executable ifc customize LaheyFCompiler Could not locate executable lf95 customize PGroupFCompiler Could not locate executable pgfortran customize AbsoftFCompiler Could not locate executable f90 Could not locate executable f77 customize NAGFCompiler customize VastFCompiler customize CompaqFCompiler Could not locate executable fort customize IntelItaniumFCompiler Could not locate executable efort Could not locate executable efc customize IntelEM64TFCompiler customize GnuFCompiler Could not locate executable g77 customize G95FCompiler Could not locate executable g95 customize PathScaleFCompiler Could not locate executable pathf95 don't know how to compile Fortran code on platform 'posix' warning: build_ext: f77_compiler=None is not available. building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/__check_build compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/__check_build/_check_build.c x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/__check_build/_check_build.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-x86_64-2.7/sklearn/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/cluster/_dbscan_inner.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:271: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:271: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘int _import_array()’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/cluster/_dbscan_inner.cpp:272: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function] _import_umath(void) ^ /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/cluster/_dbscan_inner.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/cluster/_hierarchical.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:269: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/cluster/_hierarchical.cpp:270: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function] _import_umath(void) ^ /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/cluster/_hierarchical.so building 'sklearn.cluster._k_means_elkan' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/cluster/_k_means_elkan.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means_elkan.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means_elkan.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/cluster/_k_means_elkan.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/cluster/_k_means_elkan.so building 'sklearn.cluster._k_means' extension warning: build_ext: extension 'sklearn.cluster._k_means' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/cluster/_k_means.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:273: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:3263:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:4054:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:5548:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6404:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/cluster/_k_means.c:274: sklearn/cluster/_k_means.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/cluster/_k_means.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/datasets compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/datasets/_svmlight_format.c:258: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/datasets/_svmlight_format.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/decomposition compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/decomposition/_online_lda.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/decomposition/_online_lda.c:261: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/decomposition/_online_lda.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/decomposition/cdnmf_fast.c x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/decomposition/cdnmf_fast.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/ensemble compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/ensemble/_gradient_boosting.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/ensemble/_gradient_boosting.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/feature_extraction compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/feature_extraction/_hashing.c:261: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/feature_extraction/_hashing.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/manifold compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' gcc: sklearn/manifold/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:264: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:264: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/manifold/_utils.c:265: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/manifold/_utils.so building 'sklearn.manifold._barnes_hut_tsne' extension warning: build_ext: extension 'sklearn.manifold._barnes_hut_tsne' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O4' gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:274: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.c:2907:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable] float __pyx_v_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:2906:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable] float __pyx_v_iQ[1]; ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:274: sklearn/manifold/_barnes_hut_tsne.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/manifold/_barnes_hut_tsne.c:275: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient.isra.30’: sklearn/manifold/_barnes_hut_tsne.c:2808:83: warning: ‘__pyx_v_buff[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax]))); ^ sklearn/manifold/_barnes_hut_tsne.c:2484:9: note: ‘__pyx_v_buff[1]’ was declared here float __pyx_v_buff[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:2808:83: warning: ‘__pyx_v_buff[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax]))); ^ sklearn/manifold/_barnes_hut_tsne.c:2484:9: note: ‘__pyx_v_buff[0]’ was declared here float __pyx_v_buff[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[2]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[2]’ was declared here float __pyx_v_neg_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[1]’ was declared here float __pyx_v_neg_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3340:74: warning: ‘__pyx_v_neg_force[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:2908:9: note: ‘__pyx_v_neg_force[0]’ was declared here float __pyx_v_neg_force[3]; ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -o sklearn/manifold/_barnes_hut_tsne.so building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/metrics creating build/temp.linux-x86_64-2.7/sklearn/metrics/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/metrics/cluster/expected_mutual_info_fast.c:261: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/metrics/cluster/expected_mutual_info_fast.so building 'sklearn.metrics.pairwise_fast' extension warning: build_ext: extension 'sklearn.metrics.pairwise_fast' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:272: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/metrics/pairwise_fast.c:273: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/metrics/pairwise_fast.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/neighbors compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/ball_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/neighbors/ball_tree.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_depthfirst’: sklearn/neighbors/ball_tree.c:20163:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2374; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/ball_tree.c:19837:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_breadthfirst’: sklearn/neighbors/ball_tree.c:22784:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); ^ sklearn/neighbors/ball_tree.c:18980:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/ball_tree.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/kd_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/neighbors/kd_tree.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst’: sklearn/neighbors/kd_tree.c:20134:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2374; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/kd_tree.c:19808:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_breadthfirst’: sklearn/neighbors/kd_tree.c:22755:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); ^ sklearn/neighbors/kd_tree.c:18951:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/kd_tree.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6383:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 463; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:6182:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7173:93: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7091:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7873:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 611; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7682:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:8731:95: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 684; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:8485:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/neighbors/dist_metrics.c:261: sklearn/neighbors/dist_metrics.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/dist_metrics.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/typedefs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/neighbors/typedefs.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/typedefs.so building 'sklearn.neighbors.quad_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/quad_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/quad_tree.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/quad_tree.c:2424:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */ ^ sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point’: sklearn/neighbors/quad_tree.c:3582:7: warning: format not a string literal and no format arguments [-Wformat-security] printf(__pyx_k_QuadTree_found_a_duplicate); ^ sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’: sklearn/neighbors/quad_tree.c:6643:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/quad_tree.c:6643:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’ sklearn/neighbors/quad_tree.c: At top level: sklearn/neighbors/quad_tree.c:7074:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() { ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/neighbors/quad_tree.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/neighbors/quad_tree.so building 'sklearn.tree._tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/tree compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' gcc: sklearn/tree/_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:262: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:13685:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1123; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/tree/_tree.c:13685:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/tree/_tree.c:263: sklearn/tree/_tree.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_tree.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' gcc: sklearn/tree/_splitter.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:262: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/tree/_splitter.c:263: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_splitter.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' gcc: sklearn/tree/_criterion.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:262: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/tree/_criterion.c:263: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_criterion.so building 'sklearn.tree._utils' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' gcc: sklearn/tree/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:262: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/tree/_utils.c:263: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’: sklearn/tree/_utils.c:8550:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ^ sklearn/tree/_utils.c:8502:43: note: ‘__pyx_v_original_median’ was declared here __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median; ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop’: sklearn/tree/_utils.c:8662:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median); ^ sklearn/tree/_utils.c:8585:10: note: ‘__pyx_v_original_median’ was declared here double __pyx_v_original_median; ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push’: sklearn/tree/_utils.c:8194:140: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ^ sklearn/tree/_utils.c:8141:43: note: ‘__pyx_v_original_median’ was declared here __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median; ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/tree/_utils.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/libsvm.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:264: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/svm/libsvm.c:265: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-x86_64-2.7 -llibsvm-skl -o sklearn/svm/libsvm.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/liblinear.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:274: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from sklearn/svm/liblinear.c:277:0: sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [enabled by default] problem->sample_weight = sample_weight; ^ sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘csr_set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [enabled by default] problem->sample_weight = sample_weight; ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/svm/liblinear.c:275: sklearn/svm/liblinear.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^ g++: sklearn/svm/src/liblinear/tron.cpp /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/liblinear.o build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-2.7/sklearn/svm/src/liblinear/linear.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/svm/liblinear.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:262: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/svm/libsvm_sparse.c:263: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-x86_64-2.7 -llibsvm-skl -o sklearn/svm/libsvm_sparse.so building 'sklearn._isotonic' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/_isotonic.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/_isotonic.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/_isotonic.so building 'sklearn.linear_model.cd_fast' extension warning: build_ext: extension 'sklearn.linear_model.cd_fast' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/linear_model compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/linear_model/cd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:273: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:4377:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c:4386:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:4395:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:4404:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:4413:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:5730:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_dgemv; ^ sklearn/linear_model/cd_fast.c:5739:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:5748:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:5757:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:5766:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:7878:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:7887:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:9806:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:9815:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:12231:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:12240:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:12249:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:13664:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:13673:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:13682:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:15705:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:15714:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_nrm2 = cblas_snrm2; ^ sklearn/linear_model/cd_fast.c:15723:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:15732:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c:15750:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_ger = cblas_sger; ^ sklearn/linear_model/cd_fast.c:15759:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:17380:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:17389:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_nrm2 = cblas_dnrm2; ^ sklearn/linear_model/cd_fast.c:17398:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:17407:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c:17425:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_ger = cblas_dger; ^ sklearn/linear_model/cd_fast.c:17434:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_dgemv; ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/linear_model/cd_fast.c:274: sklearn/linear_model/cd_fast.c: At top level: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/linear_model/cd_fast.so building 'sklearn.linear_model.sgd_fast' extension warning: build_ext: extension 'sklearn.linear_model.sgd_fast' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:274: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/linear_model/sgd_fast.c:275: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/linear_model/sgd_fast.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/linear_model/sag_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/linear_model/sag_fast.c:258: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ sklearn/linear_model/sag_fast.c: In function ‘__pyx_f_7sklearn_12linear_model_8sag_fast_lagged_update’: sklearn/linear_model/sag_fast.c:5352:32: warning: ‘__pyx_v_cum_sum_prox’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_cum_sum_prox = (__pyx_v_cum_sum_prox - (__pyx_v_cumulative_sums_prox[((__pyx_v_feature_hist[__pyx_v_feature_ind]) - 1)])); ^ sklearn/linear_model/sag_fast.c:5207:10: note: ‘__pyx_v_cum_sum_prox’ was declared here double __pyx_v_cum_sum_prox; ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/linear_model/sag_fast.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-2.7/sklearn/utils compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:254: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/sparsefuncs_fast.c:255: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/sparsefuncs_fast.so building 'sklearn.utils.arrayfuncs' extension warning: build_ext: extension 'sklearn.utils.arrayfuncs' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:272: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/arrayfuncs.c:273: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/utils/arrayfuncs.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:255: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/murmurhash.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-x86_64-2.7/sklearn/utils/src compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/utils/src/MurmurHash3.cpp /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/murmurhash.o build/temp.linux-x86_64-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/murmurhash.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/lgamma.c gcc: sklearn/utils/src/gamma.c x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/lgamma.o build/temp.linux-x86_64-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/lgamma.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/graph_shortest_path.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/graph_shortest_path.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:275: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:21409:47: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long) value); ^ sklearn/utils/fast_dict.cpp:3528:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/fast_dict.cpp:276: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h: At global scope: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘int _import_umath()’ defined but not used [-Wunused-function] _import_umath(void) ^ /usr/lib/ccache/g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/fast_dict.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:256: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/seq_dataset.c:257: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-x86_64-2.7 -o sklearn/utils/seq_dataset.so building 'sklearn.utils.weight_vector' extension warning: build_ext: extension 'sklearn.utils.weight_vector' has Fortran libraries but no Fortran linker found, using default linker compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:272: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/weight_vector.c:273: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-x86_64-2.7 -lcblas -lm -o sklearn/utils/weight_vector.so building 'sklearn.utils._random' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/_random.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:259: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/_random.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/_random.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: /usr/lib/ccache/gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:260: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0, from sklearn/utils/_logistic_sigmoid.c:261: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] _import_umath(void) ^ x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-x86_64-2.7 -lm -o sklearn/utils/_logistic_sigmoid.so Creating /home/travis/build/scikit-learn/scikit-learn/testvenv/lib/python2.7/site-packages/scikit-learn.egg-link (link to .) Adding scikit-learn 0.20.4 to easy-install.pth file Installed /home/travis/build/scikit-learn/scikit-learn Processing dependencies for scikit-learn==0.20.4 Searching for scipy==0.13.3 Best match: scipy 0.13.3 Adding scipy 0.13.3 to easy-install.pth file Using /usr/lib/python2.7/dist-packages Searching for numpy==1.8.2 Best match: numpy 1.8.2 numpy 1.8.2 is already the active version in easy-install.pth Using /usr/lib/python2.7/dist-packages Finished processing dependencies for scikit-learn==0.20.4 cache directory /home/travis/.ccache cache hit (direct) 103 cache hit (preprocessed) 55 cache miss 183 called for link 28 files in cache 180 cache size 37.4 Mbytes max cache size 100.0 Mbytes travis_time:end:2c4f3048:start=1563862855676708959,finish=1563862991561420336,duration=135884711377 travis_fold:end:install travis_time:start:03afff5a $ bash build_tools/travis/test_script.sh Python 2.7.6 numpy 1.8.2 scipy 0.13.3 2 CPUs +pytest --showlocals --durations=20 --pyargs --cov sklearn sklearn ============================= test session starts ============================== platform linux2 -- Python 2.7.6, pytest-4.6.4, py-1.8.0, pluggy-0.12.0 rootdir: /tmp/sklearn, inifile: setup.cfg plugins: cov-2.7.1 collecting ... collecting 0 items collecting 23 items collecting 251 items collecting 406 items collecting 767 items collecting 1112 items collecting 1212 items collecting 1759 items collecting 2011 items collecting 2361 items collecting 2569 items collecting 3278 items collecting 3459 items collecting 4061 items collecting 4153 items collecting 4488 items collecting 9609 items collecting 9907 items collecting 10203 items collecting 10396 items collected 10452 items _config.py s [ 0%] discriminant_analysis.py ss [ 0%] exceptions.py ss [ 0%] impute.py ss [ 0%] kernel_approximation.py ssss [ 0%] kernel_ridge.py s [ 0%] naive_bayes.py ssss [ 0%] pipeline.py ssss [ 0%] random_projection.py sss [ 0%] cluster/affinity_propagation_.py s [ 0%] cluster/bicluster.py ss [ 0%] cluster/birch.py s [ 0%] cluster/dbscan_.py s [ 0%] cluster/hierarchical.py ss [ 0%] cluster/k_means_.py ss [ 0%] cluster/mean_shift_.py s [ 0%] cluster/spectral.py s [ 0%] cluster/tests/test_affinity_propagation.py ....... 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[100%] =================================== FAILURES =================================== ____________________________ test_unsorted_indices _____________________________ def test_unsorted_indices(): # test that the result with sorted and unsorted indices in csr is the same # we use a subset of digits as iris, blobs or make_classification didn't # show the problem digits = load_digits() X, y = digits.data[:50], digits.target[:50] X_test = sparse.csr_matrix(digits.data[50:100]) X_sparse = sparse.csr_matrix(X) coef_dense = svm.SVC(kernel='linear', probability=True, random_state=0).fit(X, y).coef_ sparse_svc = svm.SVC(kernel='linear', probability=True, random_state=0).fit(X_sparse, y) coef_sorted = sparse_svc.coef_ # make sure dense and sparse SVM give the same result assert_array_almost_equal(coef_dense, coef_sorted.toarray()) # reverse each row's indices def scramble_indices(X): new_data = [] new_indices = [] for i in range(1, len(X.indptr)): row_slice = slice(*X.indptr[i - 1: i + 1]) new_data.extend(X.data[row_slice][::-1]) new_indices.extend(X.indices[row_slice][::-1]) return sparse.csr_matrix((new_data, new_indices, X.indptr), shape=X.shape) > X_sparse_unsorted = scramble_indices(X_sparse) X = array([[ 0., 0., 5., ..., 0., 0., 0.], [ 0., 0., 0., ..... 2., ..., 6., 0., 0.], [ 0., 0., 1., ..., 8., 0., 0.]]) X_sparse = <50x64 sparse matrix of type xxx!xxx with 1628 stored elements in Compressed Sparse Row format> X_test = <50x64 sparse matrix of type xxx!xxx with 1583 stored elements in Compressed Sparse Row format> coef_dense = array([[ 0. , 0. , 0.00134814, ..., -0.002488 , 0. ...-0.00067068, -0.0021453 , ..., -0.00229777, -0.00393698, -0.00026964]]) coef_sorted = <45x64 sparse matrix of type xxx!xxx with 2045 stored elements in Compressed Sparse Row format> digits = {'images': array([[[ 0., 0., 5., ..., 1., 0., 0.], [ 0., ...ication\n Algorithm. NIPS. 2000.", 'target': array([0, 1, 2, ..., 8, 9, 8])} scramble_indices = sparse_svc = SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, decision_function_s..., probability=True, random_state=0, shrinking=True, tol=0.001, verbose=False) y = array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, ...6, 7, 8, 9, 0, 9, 5, 5, 6, 5, 0, 9, 8, 9, 8, 4, 1, 7, 7, 3, 5, 1, 0, 0]) /home/travis/build/scikit-learn/scikit-learn/sklearn/svm/tests/test_sparse.py:125: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /home/travis/build/scikit-learn/scikit-learn/sklearn/svm/tests/test_sparse.py:123: in scramble_indices shape=X.shape) /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:52: in __init__ self.data = np.array(data, copy=copy, dtype=getdtype(dtype, data)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtype = None, a = [10.0, 13.0, 6.0, 12.0, 10.0, 5.0, ...], default = None def getdtype(dtype, a=None, default=None): """Function used to simplify argument processing. If 'dtype' is not specified (is None), returns a.dtype; otherwise returns a np.dtype object created from the specified dtype argument. If 'dtype' and 'a' are both None, construct a data type out of the 'default' parameter. Furthermore, 'dtype' must be in 'allowed' set. """ #TODO is this really what we want? canCast = True if dtype is None: try: newdtype = a.dtype except AttributeError: if default is not None: newdtype = np.dtype(default) canCast = False else: > raise TypeError("could not interpret data type") E TypeError: could not interpret data type a = [10.0, 13.0, 6.0, 12.0, 10.0, 5.0, ...] canCast = True default = None dtype = None /usr/lib/python2.7/dist-packages/scipy/sparse/sputils.py:101: TypeError _________________________ test_show_versions_with_blas _________________________ args = (), kwargs = {} @wraps(fn) def wrapper(*args, **kwargs): clean_warning_registry() with warnings.catch_warnings(): warnings.simplefilter("ignore", self.category) > return fn(*args, **kwargs) E TypeError: test_show_versions_with_blas() takes exactly 1 argument (0 given) args = () fn = kwargs = {} self = _IgnoreWarnings(record=True) /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/testing.py:348: TypeError ---------- coverage: platform linux2, python 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/home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_random.py 89 1 99% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_seq_dataset.py 56 0 100% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_shortest_path.py 53 0 100% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_show_versions.py 24 5 79% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_sparsefuncs.py 327 0 100% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_stats.py 8 0 100% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_testing.py 257 39 85% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_utils.py 207 15 93% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/tests/test_validation.py 442 29 93% /home/travis/build/scikit-learn/scikit-learn/sklearn/utils/validation.py 266 6 98% --------------------------------------------------------------------------------------------------------------------------------------- TOTAL 75264 6247 92% ========================== slowest 20 test durations =========================== 22.00s call utils/tests/test_estimator_checks.py::test_check_estimator 13.61s call preprocessing/tests/test_data.py::test_quantile_transform_subsampling 13.34s call utils/tests/test_estimator_checks.py::test_check_estimator_clones 8.64s call metrics/tests/test_classification.py::test_matthews_corrcoef_overflow[1000000] 7.04s call tests/test_multioutput.py::test_base_chain_fit_and_predict_with_sparse_data_and_cv 5.18s call preprocessing/tests/test_data.py::test_power_transformer_2d 4.79s call tree/tests/test_tree.py::test_min_impurity_decrease 4.00s call model_selection/tests/test_search.py::test_random_search_cv_results_multimetric 3.61s call ensemble/tests/test_bagging.py::test_classification 3.39s call ensemble/tests/test_gradient_boosting.py::test_feature_importance_regression 3.20s call feature_extraction/tests/test_image.py::test_connect_regions 2.80s call neural_network/tests/test_mlp.py::test_n_iter_no_change_inf 2.76s call manifold/tests/test_t_sne.py::test_uniform_grid[exact] 2.76s call decomposition/tests/test_dict_learning.py::test_sparse_coder_parallel_mmap 2.68s call ensemble/tests/test_bagging.py::test_sparse_classification 2.63s call model_selection/tests/test_split.py::test_nested_cv 2.62s call feature_extraction/tests/test_image.py::test_connect_regions_with_grid 2.30s call feature_selection/tests/test_feature_select.py::test_select_fdr_regression 2.29s call linear_model/tests/test_logistic.py::test_ovr_multinomial_iris 2.28s call ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start =========================== short test summary info ============================ SKIPPED [7] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/cluster/supervised.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/tree/export.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: numpydoc is required to test the docstrings SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/tests/test_impute.py:302: could not import 'pandas': No module named pandas SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: California housing dataset can not be loaded. 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SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/utils/validation.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Possible multi-process bug with some BLAS under Python < 3.4 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/scorer.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/spectral.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/omp.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [7] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/utils/__init__.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: This test will run only on python3.5 and above SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/random_projection.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/_discretization.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/neural_network/rbm.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [9] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:832: could not import 'pandas': No module named pandas SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/compose/_column_transformer.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:1059: could not import 'pandas': No module named pandas SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/decomposition/fastica_.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_data.py:939: RobustScaler cannot center sparse matrix SKIPPED [15] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/model_selection/_split.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/feature_selection/variance_threshold.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/_encoders.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/passive_aggressive.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: transform of MiniBatchSparsePCA is not invariant when applied to a subset. SKIPPED [6] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/regression.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [7] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/datasets/base.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/covariance/shrunk_covariance_.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/kernel_approximation.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_function_transformer.py:206: could not import 'pandas': No module named pandas SKIPPED [6] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/ranking.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Covertype dataset can not be loaded. SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/ridge.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/manifold/mds.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/feature_selection/rfe.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/randomized_l1.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/neighbors/approximate.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/naive_bayes.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/gaussian_process/gpc.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: kddcup99 dataset can not be loaded. SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Sum is as unstable as cumsum for numpy < 1.9 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:134: could not import 'pandas': No module named pandas SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/cluster/affinity_propagation_.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Skipping check_estimators_data_not_an_array for cross decomposition module as estimators are not deterministic. SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/decomposition/truncated_svd.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/ensemble/partial_dependence.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/ensemble/voting_classifier.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:265: could not import 'pandas': No module named pandas SKIPPED [9] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/coordinate_descent.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/base.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/model_selection/_search.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/manifold/locally_linear.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/metrics/pairwise.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/manifold/t_sne.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/utils/random.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/exceptions.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/neighbors/base.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_data.py:732: 'with_mean=True' cannot be used with sparse matrix. SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/tests/test_sgd.py:1524: this test uses scipy.random, that was introduced in version 0.17. This skip condition can be dropped as soon as we drop support for scipy versions older than 0.17 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/compose/tests/test_column_transformer.py:1022: could not import 'pandas': No module named pandas SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_encoders.py:323: could not import 'pandas': No module named pandas SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/sklearn/preprocessing/tests/test_encoders.py:504: could not import 'pandas': No module named pandas SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/semi_supervised/label_propagation.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed. SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/bayes.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/manifold/spectral_embedding_.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/gaussian_process/gpr.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: test_bayesian_on_diabetes is broken SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/covariance/robust_covariance.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Pandas not found SKIPPED [5] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: PIL not installed. SKIPPED [2] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: skipping mini_batch_fit_transform. SKIPPED [2] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/impute.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/neighbors/nearest_centroid.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Not testing NuSVC class weight as it is ignored. 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SKIPPED [1] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: numpydoc is required to test the docstrings, as well as python version >= 3.5 SKIPPED [1] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/decomposition/pca.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [3] /home/travis/build/scikit-learn/scikit-learn/testvenv/local/lib/python2.7/site-packages/_pytest/nose.py:32: Download 20 newsgroups to run this test SKIPPED [5] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/linear_model/least_angle.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [4] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/pipeline.py: doctests are only run for numpy >= 1.14 and python >= 3 SKIPPED [3] ../../home/travis/build/scikit-learn/scikit-learn/sklearn/cross_decomposition/pls_.py: doctests are only run for numpy >= 1.14 and python >= 3 = 2 failed, 10071 passed, 378 skipped, 1 xfailed, 182 warnings in 527.67 seconds =