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travis_fold:start:worker_info Worker information hostname: 6a3c581a-a31c-4fb5-aa4d-02924c3d6ad3@1.production-2-worker-org-gce-hf8k version: v6.2.0 https://github.com/travis-ci/worker/tree/5e5476e01646095f48eec13196fdb3faf8f5cbf7 instance: travis-job-59677018-19c2-4534-b961-dc8eacb9adc4 travis-ci-garnet-trusty-1512502259-986baf0 (via amqp) startup: 6.152676223s travis_fold:end:worker_info travis_fold:start:system_info Build system information Build language: python Build group: stable Build dist: trusty Build id: 562456534 Job id: 562456536 Runtime kernel version: 4.4.0-101-generic travis-build version: 24c88d12b Build image provisioning date and time Tue Dec 5 19:58:13 UTC 2017 Operating System Details Distributor ID: Ubuntu Description: Ubuntu 14.04.5 LTS Release: 14.04 Codename: trusty Cookbooks Version 7c2c6a6 https://github.com/travis-ci/travis-cookbooks/tree/7c2c6a6 git version git version 2.15.1 bash version GNU bash, version 4.3.11(1)-release (x86_64-pc-linux-gnu) gcc version gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4 Copyright (C) 2013 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. docker version Client: Version: 17.09.0-ce API version: 1.32 Go version: go1.8.3 Git commit: afdb6d4 Built: Tue Sep 26 22:42:38 2017 OS/Arch: linux/amd64 Server: Version: 17.09.0-ce API version: 1.32 (minimum version 1.12) Go version: go1.8.3 Git commit: afdb6d4 Built: Tue Sep 26 22:41:20 2017 OS/Arch: linux/amd64 Experimental: false clang version clang version 5.0.0 (tags/RELEASE_500/final) Target: x86_64-unknown-linux-gnu Thread model: posix InstalledDir: /usr/local/clang-5.0.0/bin jq version jq-1.5 bats version Bats 0.4.0 shellcheck version 0.4.6 shfmt version v2.0.0 ccache version ccache version 3.1.9 Copyright (C) 2002-2007 Andrew Tridgell Copyright (C) 2009-2011 Joel Rosdahl This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. cmake version cmake version 3.9.2 CMake suite maintained and supported by Kitware (kitware.com/cmake). heroku version heroku-cli/6.14.39-addc925 (linux-x64) node-v9.2.0 imagemagick version Version: ImageMagick 6.7.7-10 2017-07-31 Q16 http://www.imagemagick.org md5deep version 4.2 mercurial version Mercurial Distributed SCM (version 4.2.2) (see https://mercurial-scm.org for more information) Copyright (C) 2005-2017 Matt Mackall and others This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. mysql version mysql Ver 14.14 Distrib 5.6.33, for debian-linux-gnu (x86_64) using EditLine wrapper openssl version OpenSSL 1.0.1f 6 Jan 2014 packer version Packer v1.0.2 Your version of Packer is out of date! The latest version is 1.1.2. You can update by downloading from www.packer.io postgresql client version psql (PostgreSQL) 9.6.6 ragel version Ragel State Machine Compiler version 6.8 Feb 2013 Copyright (c) 2001-2009 by Adrian Thurston subversion version svn, version 1.8.8 (r1568071) compiled Aug 10 2017, 17:20:39 on x86_64-pc-linux-gnu Copyright (C) 2013 The Apache Software Foundation. This software consists of contributions made by many people; see the NOTICE file for more information. Subversion is open source software, see http://subversion.apache.org/ The following repository access (RA) modules are available: * ra_svn : Module for accessing a repository using the svn network protocol. - with Cyrus SASL authentication - handles 'svn' scheme * ra_local : Module for accessing a repository on local disk. - handles 'file' scheme * ra_serf : Module for accessing a repository via WebDAV protocol using serf. - using serf 1.3.3 - handles 'http' scheme - handles 'https' scheme sudo version Sudo version 1.8.9p5 Configure options: --prefix=/usr -v --with-all-insults --with-pam --with-fqdn --with-logging=syslog --with-logfac=authpriv --with-env-editor --with-editor=/usr/bin/editor --with-timeout=15 --with-password-timeout=0 --with-passprompt=[sudo] password for %p: --without-lecture --with-tty-tickets --disable-root-mailer --enable-admin-flag --with-sendmail=/usr/sbin/sendmail --with-timedir=/var/lib/sudo --mandir=/usr/share/man --libexecdir=/usr/lib/sudo --with-sssd --with-sssd-lib=/usr/lib/x86_64-linux-gnu --with-selinux Sudoers policy plugin version 1.8.9p5 Sudoers file grammar version 43 Sudoers path: /etc/sudoers Authentication methods: 'pam' Syslog facility if syslog is being used for logging: authpriv Syslog priority to use when user authenticates successfully: notice Syslog priority to use when user authenticates unsuccessfully: alert Send mail if the user is not in sudoers Use a separate timestamp for each user/tty combo Lecture user the first time they run sudo Root may run sudo Allow some information gathering to give useful error messages Require fully-qualified hostnames in the sudoers file Visudo will honor the EDITOR environment variable Set the LOGNAME and USER environment variables Length at which to wrap log file lines (0 for no wrap): 80 Authentication timestamp timeout: 15.0 minutes Password prompt timeout: 0.0 minutes Number of tries to enter a password: 3 Umask to use or 0777 to use user's: 022 Path to mail program: /usr/sbin/sendmail Flags for mail program: -t Address to send mail to: root Subject line for mail messages: *** SECURITY information for %h *** Incorrect password message: Sorry, try again. Path to authentication timestamp dir: /var/lib/sudo Default password prompt: [sudo] password for %p: Default user to run commands as: root Value to override user's $PATH with: /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin Path to the editor for use by visudo: /usr/bin/editor When to require a password for 'list' pseudocommand: any When to require a password for 'verify' pseudocommand: all File descriptors >= 3 will be closed before executing a command Environment variables to check for sanity: TZ TERM LINGUAS LC_* LANGUAGE LANG COLORTERM Environment variables to remove: RUBYOPT RUBYLIB PYTHONUSERBASE PYTHONINSPECT PYTHONPATH PYTHONHOME TMPPREFIX ZDOTDIR READNULLCMD NULLCMD FPATH PERL5DB PERL5OPT PERL5LIB PERLLIB PERLIO_DEBUG JAVA_TOOL_OPTIONS SHELLOPTS GLOBIGNORE PS4 BASH_ENV ENV TERMCAP TERMPATH TERMINFO_DIRS TERMINFO _RLD* LD_* PATH_LOCALE NLSPATH HOSTALIASES RES_OPTIONS LOCALDOMAIN CDPATH IFS Environment variables to preserve: JAVA_HOME TRAVIS CI DEBIAN_FRONTEND XAUTHORIZATION XAUTHORITY PS2 PS1 PATH LS_COLORS KRB5CCNAME HOSTNAME HOME DISPLAY COLORS Locale to use while parsing sudoers: C Directory in which to store input/output logs: /var/log/sudo-io File in which to store the input/output log: %{seq} Add an entry to the utmp/utmpx file when allocating a pty PAM service name to use PAM service name to use for login shells Create a new PAM session for the command to run in Maximum I/O log sequence number: 0 Local IP address and netmask pairs: 10.240.0.28/255.255.255.255 172.17.0.1/255.255.0.0 Sudoers I/O plugin version 1.8.9p5 gzip version gzip 1.6 Copyright (C) 2007, 2010, 2011 Free Software Foundation, Inc. Copyright (C) 1993 Jean-loup Gailly. This is free software. You may redistribute copies of it under the terms of the GNU General Public License <http://www.gnu.org/licenses/gpl.html>. There is NO WARRANTY, to the extent permitted by law. Written by Jean-loup Gailly. zip version Copyright (c) 1990-2008 Info-ZIP - Type 'zip "-L"' for software license. This is Zip 3.0 (July 5th 2008), by Info-ZIP. Currently maintained by E. Gordon. Please send bug reports to the authors using the web page at www.info-zip.org; see README for details. Latest sources and executables are at ftp://ftp.info-zip.org/pub/infozip, as of above date; see http://www.info-zip.org/ for other sites. Compiled with gcc 4.8.2 for Unix (Linux ELF) on Oct 21 2013. Zip special compilation options: USE_EF_UT_TIME (store Universal Time) BZIP2_SUPPORT (bzip2 library version 1.0.6, 6-Sept-2010) bzip2 code and library copyright (c) Julian R Seward (See the bzip2 license for terms of use) SYMLINK_SUPPORT (symbolic links supported) LARGE_FILE_SUPPORT (can read and write large files on file system) ZIP64_SUPPORT (use Zip64 to store large files in archives) UNICODE_SUPPORT (store and read UTF-8 Unicode paths) STORE_UNIX_UIDs_GIDs (store UID/GID sizes/values using new extra field) UIDGID_NOT_16BIT (old Unix 16-bit UID/GID extra field not used) [encryption, version 2.91 of 05 Jan 2007] (modified for Zip 3) Encryption notice: The encryption code of this program is not copyrighted and is put in the public domain. It was originally written in Europe and, to the best of our knowledge, can be freely distributed in both source and object forms from any country, including the USA under License Exception TSU of the U.S. Export Administration Regulations (section 740.13(e)) of 6 June 2002. Zip environment options: ZIP: [none] ZIPOPT: [none] vim version VIM - Vi IMproved 7.4 (2013 Aug 10, compiled Nov 24 2016 16:43:18) Included patches: 1-52 Extra patches: 8.0.0056 Modified by [email protected] Compiled by buildd@ Huge version without GUI. Features included (+) or not (-): +acl +farsi +mouse_netterm +syntax +arabic +file_in_path +mouse_sgr +tag_binary +autocmd +find_in_path -mouse_sysmouse +tag_old_static -balloon_eval +float +mouse_urxvt -tag_any_white -browse +folding +mouse_xterm -tcl ++builtin_terms -footer +multi_byte +terminfo +byte_offset +fork() +multi_lang +termresponse +cindent +gettext -mzscheme +textobjects -clientserver -hangul_input +netbeans_intg +title -clipboard +iconv +path_extra -toolbar +cmdline_compl +insert_expand -perl +user_commands +cmdline_hist +jumplist +persistent_undo +vertsplit +cmdline_info +keymap +postscript +virtualedit +comments +langmap +printer +visual +conceal +libcall +profile +visualextra +cryptv +linebreak +python +viminfo +cscope +lispindent -python3 +vreplace +cursorbind +listcmds +quickfix +wildignore +cursorshape +localmap +reltime +wildmenu +dialog_con -lua +rightleft +windows +diff +menu -ruby +writebackup +digraphs +mksession +scrollbind -X11 -dnd +modify_fname +signs -xfontset -ebcdic +mouse +smartindent -xim +emacs_tags -mouseshape -sniff -xsmp +eval +mouse_dec +startuptime -xterm_clipboard +ex_extra +mouse_gpm +statusline -xterm_save +extra_search -mouse_jsbterm -sun_workshop -xpm system vimrc file: "$VIM/vimrc" user vimrc file: "$HOME/.vimrc" 2nd user vimrc file: "~/.vim/vimrc" user exrc file: "$HOME/.exrc" fall-back for $VIM: "/usr/share/vim" Compilation: gcc -c -I. -Iproto -DHAVE_CONFIG_H -g -O2 -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security -U_FORTIFY_SOURCE -D_FORTIFY_SOURCE=1 Linking: gcc -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,--as-needed -o vim -lm -ltinfo -lnsl -lselinux -lacl -lattr -lgpm -ldl -L/usr/lib/python2.7/config-x86_64-linux-gnu -lpython2.7 -lpthread -ldl -lutil -lm -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions iptables version iptables v1.4.21 curl version curl 7.35.0 (x86_64-pc-linux-gnu) libcurl/7.35.0 OpenSSL/1.0.1f zlib/1.2.8 libidn/1.28 librtmp/2.3 wget version GNU Wget 1.15 built on linux-gnu. rsync version rsync version 3.1.0 protocol version 31 gimme version v1.2.0 nvm version 0.33.6 perlbrew version /home/travis/perl5/perlbrew/bin/perlbrew - App::perlbrew/0.80 phpenv version rbenv 1.1.1-25-g6aa70b6 rvm version rvm 1.29.3 (latest) by Michal Papis, Piotr Kuczynski, Wayne E. Seguin [https://rvm.io] default ruby version ruby 2.4.1p111 (2017-03-22 revision 58053) [x86_64-linux] CouchDB version couchdb 1.6.1 ElasticSearch version 5.5.0 Installed Firefox version firefox 56.0.2 MongoDB version MongoDB 3.4.10 PhantomJS version 2.1.1 Pre-installed PostgreSQL versions 9.2.24 9.3.20 9.4.15 9.5.10 9.6.6 RabbitMQ Version 3.6.14 Redis version redis-server 4.0.6 riak version 2.2.3 Pre-installed Go versions 1.7.4 ant version Apache Ant(TM) version 1.9.3 compiled on April 8 2014 mvn version Apache Maven 3.5.2 (138edd61fd100ec658bfa2d307c43b76940a5d7d; 2017-10-18T07:58:13Z) Maven home: /usr/local/maven-3.5.2 Java version: 1.8.0_151, vendor: Oracle Corporation Java home: /usr/lib/jvm/java-8-oracle/jre Default locale: en_US, platform encoding: UTF-8 OS name: "linux", version: "4.4.0-98-generic", arch: "amd64", family: "unix" gradle version ------------------------------------------------------------ Gradle 4.0.1 ------------------------------------------------------------ Build time: 2017-07-07 14:02:41 UTC Revision: 38e5dc0f772daecca1d2681885d3d85414eb6826 Groovy: 2.4.11 Ant: Apache Ant(TM) version 1.9.6 compiled on June 29 2015 JVM: 1.8.0_151 (Oracle Corporation 25.151-b12) OS: Linux 4.4.0-98-generic amd64 lein version Leiningen 2.8.1 on Java 1.8.0_151 Java HotSpot(TM) 64-Bit Server VM Pre-installed Node.js versions v4.8.6 v6.12.0 v6.12.1 v8.9 v8.9.1 phpenv versions system 5.6 * 5.6.32 (set by /home/travis/.phpenv/version) 7.0 7.0.25 7.1 7.1.11 hhvm hhvm-stable composer --version Composer version 1.5.2 2017-09-11 16:59:25 Pre-installed Ruby versions ruby-2.2.7 ruby-2.3.4 ruby-2.4.1 travis_fold:end:system_info travis_fold:start:docker_mtu docker stop/waiting docker start/running, process 3620 travis_fold:end:docker_mtu travis_fold:start:resolvconf resolvconf stop/waiting resolvconf start/running travis_fold:end:resolvconf travis_fold:start:git.checkout travis_time:start:11f5acc9 $ git clone --depth=50 https://github.com/scikit-learn/scikit-learn.git scikit-learn/scikit-learn Cloning into 'scikit-learn/scikit-learn'... remote: Enumerating objects: 1762, done. remote: Counting objects: 0% (1/1762) remote: Counting objects: 1% (18/1762) 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: 14% (247/1762) remote: Counting objects: 15% (265/1762) remote: Counting objects: 16% (282/1762) remote: Counting objects: 17% (300/1762) remote: Counting objects: 18% (318/1762) remote: Counting objects: 19% (335/1762) remote: Counting objects: 20% (353/1762) remote: Counting objects: 21% (371/1762) remote: Counting objects: 22% (388/1762) remote: Counting objects: 23% (406/1762) remote: Counting objects: 24% (423/1762) remote: Counting objects: 25% (441/1762) remote: Counting objects: 26% (459/1762) remote: Counting objects: 27% (476/1762) remote: Counting objects: 28% (494/1762) remote: Counting objects: 29% (511/1762) remote: Counting objects: 30% (529/1762) remote: Counting objects: 31% (547/1762) remote: Counting objects: 32% (564/1762) remote: Counting objects: 33% (582/1762) remote: Counting objects: 34% (600/1762) remote: Counting objects: 35% (617/1762) remote: Counting objects: 36% (635/1762) remote: Counting objects: 37% (652/1762) remote: Counting objects: 38% (670/1762) remote: Counting objects: 39% (688/1762) remote: Counting objects: 40% (705/1762) remote: Counting objects: 41% (723/1762) remote: Counting objects: 42% (741/1762) remote: Counting objects: 43% (758/1762) remote: Counting objects: 44% (776/1762) remote: Counting objects: 45% (793/1762) remote: Counting objects: 46% (811/1762) remote: Counting objects: 47% (829/1762) remote: Counting objects: 48% (846/1762) remote: Counting objects: 49% (864/1762) remote: Counting objects: 50% (881/1762) remote: Counting objects: 51% (899/1762) remote: Counting objects: 52% (917/1762) remote: Counting objects: 53% (934/1762) remote: Counting objects: 54% (952/1762) remote: Counting objects: 55% (970/1762) remote: Counting objects: 56% (987/1762) remote: Counting objects: 57% (1005/1762) remote: Counting objects: 58% (1022/1762) remote: Counting objects: 59% (1040/1762) remote: Counting objects: 60% (1058/1762) remote: Counting objects: 61% (1075/1762) remote: Counting objects: 62% (1093/1762) remote: Counting objects: 63% (1111/1762) remote: Counting objects: 64% (1128/1762) remote: Counting objects: 65% (1146/1762) remote: Counting objects: 66% (1163/1762) remote: Counting objects: 67% (1181/1762) remote: Counting objects: 68% (1199/1762) remote: Counting objects: 69% (1216/1762) remote: Counting objects: 70% (1234/1762) remote: Counting objects: 71% (1252/1762) remote: Counting objects: 72% (1269/1762) remote: Counting objects: 73% (1287/1762) remote: Counting objects: 74% (1304/1762) remote: Counting objects: 75% (1322/1762) remote: Counting objects: 76% (1340/1762) remote: Counting objects: 77% (1357/1762) remote: Counting objects: 78% (1375/1762) remote: Counting objects: 79% (1392/1762) remote: Counting objects: 80% (1410/1762) remote: Counting objects: 81% (1428/1762) remote: Counting objects: 82% (1445/1762) remote: Counting objects: 83% (1463/1762) remote: Counting objects: 84% (1481/1762) remote: Counting objects: 85% (1498/1762) remote: Counting objects: 86% (1516/1762) 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 objects: 8% (118/1468) remote: Compressing objects: 9% (133/1468) remote: Compressing objects: 10% (147/1468) remote: Compressing objects: 11% (162/1468) remote: Compressing objects: 12% (177/1468) remote: Compressing objects: 13% (191/1468) remote: Compressing objects: 14% (206/1468) remote: Compressing 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Compressing objects: 38% (558/1468) remote: Compressing objects: 39% (573/1468) remote: Compressing objects: 40% (588/1468) remote: Compressing objects: 41% (602/1468) remote: Compressing objects: 42% (617/1468) remote: Compressing objects: 43% (632/1468) remote: Compressing objects: 44% (646/1468) remote: Compressing objects: 45% (661/1468) remote: Compressing objects: 46% (676/1468) remote: Compressing objects: 47% (690/1468) remote: Compressing objects: 48% (705/1468) remote: Compressing objects: 49% (720/1468) remote: Compressing objects: 50% (734/1468) remote: Compressing objects: 51% (749/1468) remote: Compressing objects: 52% (764/1468) remote: Compressing objects: 53% (779/1468) remote: Compressing objects: 54% (793/1468) remote: Compressing objects: 55% (808/1468) remote: Compressing objects: 56% (823/1468) remote: Compressing objects: 57% (837/1468) remote: Compressing objects: 58% (852/1468) remote: Compressing objects: 59% (867/1468) remote: Compressing objects: 60% (881/1468) remote: Compressing objects: 61% (896/1468) remote: Compressing objects: 62% (911/1468) remote: Compressing objects: 63% (925/1468) remote: Compressing objects: 64% (940/1468) remote: Compressing objects: 65% (955/1468) remote: Compressing objects: 66% (969/1468) remote: Compressing objects: 67% (984/1468) remote: Compressing objects: 68% (999/1468) remote: Compressing objects: 69% (1013/1468) remote: Compressing objects: 70% (1028/1468) remote: Compressing objects: 71% (1043/1468) remote: Compressing objects: 72% (1057/1468) remote: Compressing objects: 73% (1072/1468) remote: Compressing objects: 74% (1087/1468) remote: Compressing objects: 75% (1101/1468) remote: Compressing objects: 76% (1116/1468) remote: Compressing objects: 77% (1131/1468) remote: Compressing objects: 78% (1146/1468) remote: Compressing objects: 79% (1160/1468) remote: Compressing objects: 80% (1175/1468) remote: Compressing objects: 81% (1190/1468) remote: Compressing objects: 82% (1204/1468) remote: Compressing objects: 83% (1219/1468) remote: Compressing objects: 84% (1234/1468) remote: Compressing objects: 85% (1248/1468) remote: Compressing objects: 86% (1263/1468) remote: Compressing objects: 87% (1278/1468) remote: Compressing objects: 88% (1292/1468) remote: Compressing objects: 89% (1307/1468) remote: Compressing objects: 90% (1322/1468) remote: Compressing objects: 91% (1336/1468) remote: Compressing objects: 92% (1351/1468) remote: Compressing objects: 93% (1366/1468) remote: Compressing objects: 94% (1380/1468) remote: Compressing objects: 95% (1395/1468) remote: Compressing objects: 96% (1410/1468) remote: Compressing objects: 97% (1424/1468) remote: Compressing objects: 98% (1439/1468) remote: Compressing objects: 99% (1454/1468) remote: Compressing objects: 100% (1468/1468) remote: Compressing objects: 100% (1468/1468), done. Receiving objects: 0% (1/1762) Receiving objects: 1% (18/1762) Receiving objects: 2% (36/1762) Receiving objects: 3% (53/1762) Receiving objects: 4% (71/1762) Receiving objects: 5% (89/1762) Receiving objects: 6% (106/1762) Receiving objects: 7% (124/1762) Receiving objects: 8% (141/1762) Receiving objects: 9% (159/1762) Receiving objects: 10% (177/1762) Receiving objects: 11% (194/1762) Receiving objects: 12% (212/1762) Receiving objects: 13% (230/1762) Receiving objects: 14% (247/1762) Receiving objects: 15% (265/1762) Receiving objects: 16% (282/1762) Receiving objects: 17% (300/1762) Receiving objects: 18% (318/1762) Receiving objects: 19% (335/1762) Receiving objects: 20% (353/1762) Receiving objects: 21% (371/1762) Receiving objects: 22% (388/1762) Receiving objects: 23% (406/1762) Receiving objects: 24% (423/1762) Receiving objects: 25% (441/1762) Receiving objects: 26% (459/1762) Receiving objects: 27% (476/1762) Receiving objects: 28% (494/1762) Receiving objects: 29% (511/1762) Receiving objects: 30% (529/1762) Receiving objects: 31% (547/1762) Receiving objects: 32% (564/1762) Receiving objects: 33% (582/1762) Receiving objects: 34% (600/1762) Receiving objects: 35% (617/1762) Receiving objects: 36% (635/1762) Receiving objects: 37% (652/1762) Receiving objects: 38% (670/1762) Receiving objects: 39% (688/1762) Receiving objects: 40% (705/1762) Receiving objects: 41% (723/1762) Receiving objects: 42% (741/1762) Receiving objects: 43% (758/1762) Receiving objects: 44% (776/1762) Receiving objects: 45% (793/1762) Receiving objects: 46% (811/1762) Receiving objects: 47% (829/1762) Receiving objects: 48% (846/1762) Receiving objects: 49% (864/1762) Receiving objects: 50% (881/1762) Receiving objects: 51% (899/1762) Receiving objects: 52% (917/1762) Receiving objects: 53% (934/1762) Receiving objects: 54% (952/1762) Receiving objects: 55% (970/1762) Receiving objects: 56% (987/1762) Receiving objects: 57% (1005/1762) Receiving objects: 58% (1022/1762) Receiving objects: 59% (1040/1762) Receiving objects: 60% (1058/1762) Receiving objects: 61% (1075/1762) Receiving objects: 62% (1093/1762) Receiving objects: 63% (1111/1762) Receiving objects: 64% (1128/1762) Receiving objects: 65% (1146/1762) Receiving objects: 66% (1163/1762) Receiving objects: 67% (1181/1762) Receiving objects: 68% (1199/1762) Receiving objects: 69% (1216/1762) Receiving objects: 70% (1234/1762) Receiving objects: 71% (1252/1762) Receiving objects: 72% (1269/1762) Receiving objects: 73% (1287/1762) Receiving objects: 74% (1304/1762) Receiving objects: 75% (1322/1762) Receiving objects: 76% (1340/1762) Receiving objects: 77% (1357/1762) Receiving objects: 78% (1375/1762) Receiving objects: 79% (1392/1762) Receiving objects: 80% (1410/1762) Receiving objects: 81% (1428/1762) Receiving objects: 82% (1445/1762) Receiving objects: 83% (1463/1762) Receiving objects: 84% (1481/1762) Receiving objects: 85% (1498/1762) Receiving objects: 86% (1516/1762) Receiving objects: 87% (1533/1762) Receiving objects: 88% (1551/1762) Receiving objects: 89% (1569/1762) Receiving objects: 90% (1586/1762) Receiving objects: 91% (1604/1762) Receiving objects: 92% (1622/1762) Receiving objects: 93% (1639/1762) Receiving objects: 94% (1657/1762) Receiving objects: 95% (1674/1762) remote: Total 1762 (delta 420), reused 734 (delta 277), pack-reused 0 Receiving objects: 96% (1692/1762) Receiving objects: 97% (1710/1762) Receiving objects: 98% (1727/1762) Receiving objects: 99% (1745/1762) Receiving objects: 100% (1762/1762) Receiving objects: 100% (1762/1762), 6.56 MiB | 18.55 MiB/s, done. Resolving deltas: 0% (0/420) Resolving deltas: 1% (5/420) Resolving deltas: 2% (9/420) Resolving deltas: 3% (13/420) Resolving deltas: 4% (19/420) Resolving deltas: 5% (23/420) Resolving deltas: 7% (31/420) Resolving deltas: 8% (34/420) Resolving deltas: 9% (39/420) Resolving deltas: 10% (43/420) Resolving deltas: 11% (49/420) Resolving deltas: 12% (52/420) Resolving deltas: 13% (55/420) Resolving deltas: 16% (69/420) Resolving deltas: 17% (74/420) Resolving deltas: 19% (82/420) Resolving deltas: 20% (84/420) Resolving deltas: 21% (89/420) Resolving deltas: 22% (93/420) Resolving deltas: 23% (99/420) Resolving deltas: 24% (103/420) Resolving deltas: 25% (106/420) Resolving deltas: 26% (111/420) Resolving deltas: 27% (114/420) Resolving deltas: 28% (119/420) Resolving deltas: 29% (122/420) Resolving deltas: 30% (126/420) Resolving deltas: 31% (131/420) Resolving deltas: 32% (137/420) Resolving deltas: 33% (139/420) Resolving deltas: 34% (143/420) Resolving deltas: 35% (148/420) Resolving deltas: 36% (152/420) Resolving deltas: 37% (156/420) Resolving deltas: 38% (160/420) Resolving deltas: 39% (164/420) Resolving deltas: 45% (191/420) Resolving deltas: 47% (198/420) Resolving deltas: 49% (206/420) Resolving deltas: 51% (215/420) Resolving deltas: 52% (222/420) Resolving deltas: 53% (224/420) Resolving deltas: 54% (227/420) Resolving deltas: 55% (231/420) Resolving deltas: 56% (236/420) Resolving deltas: 57% (240/420) Resolving deltas: 59% (248/420) Resolving deltas: 60% (252/420) Resolving deltas: 61% (257/420) Resolving deltas: 62% (261/420) Resolving deltas: 63% (266/420) Resolving deltas: 64% (271/420) Resolving deltas: 65% (274/420) Resolving deltas: 66% (278/420) Resolving deltas: 67% (282/420) Resolving deltas: 68% (289/420) Resolving deltas: 69% (290/420) Resolving deltas: 70% (295/420) Resolving deltas: 71% (299/420) Resolving deltas: 73% (308/420) Resolving deltas: 74% (311/420) Resolving deltas: 75% (315/420) Resolving deltas: 76% (320/420) Resolving deltas: 77% (324/420) Resolving deltas: 78% (328/420) Resolving deltas: 79% (332/420) Resolving deltas: 80% (336/420) Resolving deltas: 81% (341/420) Resolving deltas: 82% (345/420) Resolving deltas: 83% (349/420) Resolving deltas: 84% (353/420) Resolving deltas: 85% (358/420) Resolving deltas: 86% (362/420) Resolving deltas: 87% (366/420) Resolving deltas: 88% (370/420) Resolving deltas: 89% (374/420) Resolving deltas: 90% (379/420) Resolving deltas: 96% (404/420) Resolving deltas: 97% (408/420) Resolving deltas: 98% (415/420) Resolving deltas: 99% (416/420) Resolving deltas: 100% (420/420) Resolving deltas: 100% (420/420), done. travis_time:end:11f5acc9:start=1563868010500544654,finish=1563868013332241005,duration=2831696351 $ cd scikit-learn/scikit-learn travis_time:start:0306b9b8 $ git fetch origin +refs/pull/14443/merge: remote: Enumerating objects: 142783 remote: Enumerating objects: 155513, done. remote: Counting objects: 0% (1/155512) remote: Counting objects: 1% (1556/155512) remote: Counting objects: 2% (3111/155512) remote: Counting objects: 3% (4666/155512) remote: Counting objects: 4% (6221/155512) remote: Counting objects: 5% (7776/155512) remote: Counting objects: 6% (9331/155512) remote: Counting objects: 7% (10886/155512) remote: Counting objects: 8% (12441/155512) remote: Counting objects: 9% (13997/155512) remote: Counting objects: 10% (15552/155512) remote: Counting objects: 11% (17107/155512) remote: Counting objects: 12% (18662/155512) remote: Counting objects: 13% (20217/155512) remote: Counting objects: 14% (21772/155512) remote: Counting objects: 15% (23327/155512) remote: Counting objects: 16% (24882/155512) remote: Counting objects: 17% (26438/155512) remote: Counting objects: 18% (27993/155512) remote: Counting objects: 19% (29548/155512) remote: Counting objects: 20% (31103/155512) remote: Counting objects: 21% (32658/155512) remote: Counting objects: 22% (34213/155512) remote: Counting objects: 23% (35768/155512) remote: Counting objects: 24% (37323/155512) remote: Counting objects: 25% (38878/155512) remote: Counting objects: 26% (40434/155512) remote: Counting objects: 27% (41989/155512) remote: Counting objects: 28% (43544/155512) remote: Counting objects: 29% (45099/155512) remote: Counting objects: 30% (46654/155512) remote: Counting objects: 31% (48209/155512) remote: Counting objects: 32% (49764/155512) remote: Counting objects: 33% (51319/155512) remote: Counting objects: 34% (52875/155512) remote: Counting objects: 35% (54430/155512) remote: Counting objects: 36% (55985/155512) remote: Counting objects: 37% (57540/155512) remote: Counting objects: 38% (59095/155512) remote: Counting objects: 39% (60650/155512) remote: Counting objects: 40% (62205/155512) remote: Counting objects: 41% (63760/155512) remote: Counting objects: 42% (65316/155512) remote: Counting objects: 43% (66871/155512) remote: Counting objects: 44% (68426/155512) remote: Counting objects: 45% (69981/155512) remote: Counting objects: 46% (71536/155512) remote: Counting objects: 47% (73091/155512) remote: Counting objects: 48% (74646/155512) remote: Counting objects: 49% (76201/155512) remote: Counting objects: 50% (77756/155512) remote: Counting objects: 51% (79312/155512) remote: Counting objects: 52% (80867/155512) remote: Counting objects: 53% (82422/155512) remote: Counting objects: 54% (83977/155512) remote: Counting objects: 55% (85532/155512) remote: Counting objects: 56% (87087/155512) remote: Counting objects: 57% (88642/155512) remote: Counting objects: 58% (90197/155512) remote: Counting objects: 59% (91753/155512) remote: Counting objects: 60% (93308/155512) remote: Counting objects: 61% (94863/155512) remote: Counting objects: 62% (96418/155512) remote: Counting objects: 63% (97973/155512) remote: Counting objects: 64% (99528/155512) remote: Counting objects: 65% (101083/155512) remote: Counting objects: 66% (102638/155512) remote: Counting objects: 67% (104194/155512) remote: Counting objects: 68% (105749/155512) remote: Counting objects: 69% (107304/155512) remote: Counting objects: 70% (108859/155512) remote: Counting objects: 71% (110414/155512) remote: Counting objects: 72% (111969/155512) remote: Counting objects: 73% (113524/155512) remote: Counting objects: 74% (115079/155512) remote: Counting objects: 75% (116634/155512) remote: Counting objects: 76% (118190/155512) remote: Counting objects: 77% (119745/155512) remote: Counting objects: 78% (121300/155512) remote: Counting objects: 79% (122855/155512) remote: Counting objects: 80% (124410/155512) remote: Counting objects: 81% (125965/155512) remote: Counting objects: 82% (127520/155512) remote: Counting objects: 83% (129075/155512) remote: Counting objects: 84% (130631/155512) remote: Counting objects: 85% (132186/155512) remote: Counting objects: 86% (133741/155512) remote: Counting objects: 87% (135296/155512) remote: Counting objects: 88% (136851/155512) remote: Counting objects: 89% (138406/155512) remote: Counting objects: 90% (139961/155512) remote: Counting objects: 91% (141516/155512) remote: Counting objects: 92% (143072/155512) remote: Counting objects: 93% (144627/155512) remote: Counting objects: 94% (146182/155512) remote: Counting objects: 95% (147737/155512) remote: Counting objects: 96% (149292/155512) remote: Counting objects: 97% (150847/155512) remote: Counting objects: 98% (152402/155512) remote: Counting objects: 99% (153957/155512) remote: Counting objects: 100% (155512/155512) remote: Counting objects: 100% (155512/155512), done. remote: Compressing objects: 0% (1/37826) remote: Compressing objects: 1% (379/37826) remote: Compressing objects: 2% (757/37826) remote: Compressing objects: 3% (1135/37826) remote: Compressing objects: 4% (1514/37826) remote: Compressing objects: 5% (1892/37826) remote: Compressing objects: 6% (2270/37826) remote: Compressing objects: 7% (2648/37826) remote: Compressing objects: 8% (3027/37826) remote: Compressing objects: 9% (3405/37826) remote: Compressing objects: 10% (3783/37826) remote: Compressing objects: 11% (4161/37826) remote: Compressing objects: 12% (4540/37826) remote: Compressing objects: 13% (4918/37826) remote: Compressing objects: 14% (5296/37826) remote: Compressing objects: 15% (5674/37826) remote: Compressing objects: 16% (6053/37826) remote: Compressing objects: 17% (6431/37826) remote: Compressing objects: 18% (6809/37826) remote: Compressing objects: 19% (7187/37826) remote: Compressing objects: 20% (7566/37826) remote: Compressing objects: 21% (7944/37826) remote: Compressing objects: 22% (8322/37826) remote: Compressing objects: 23% (8700/37826) remote: Compressing objects: 24% (9079/37826) remote: Compressing objects: 25% (9457/37826) remote: Compressing objects: 26% (9835/37826) remote: Compressing objects: 27% (10214/37826) remote: Compressing objects: 28% (10592/37826) remote: Compressing objects: 29% (10970/37826) remote: Compressing objects: 30% (11348/37826) remote: Compressing objects: 31% (11727/37826) remote: Compressing objects: 32% (12105/37826) remote: Compressing objects: 33% (12483/37826) remote: Compressing objects: 34% (12861/37826) remote: Compressing objects: 35% (13240/37826) remote: Compressing objects: 36% (13618/37826) remote: Compressing objects: 37% (13996/37826) remote: Compressing objects: 38% (14374/37826) remote: Compressing objects: 39% (14753/37826) remote: Compressing objects: 40% (15131/37826) remote: Compressing objects: 41% (15509/37826) remote: Compressing objects: 42% (15887/37826) remote: Compressing objects: 43% (16266/37826) remote: Compressing objects: 44% (16644/37826) remote: Compressing objects: 45% (17022/37826) remote: Compressing objects: 46% (17400/37826) remote: Compressing objects: 47% (17779/37826) remote: Compressing objects: 48% (18157/37826) remote: Compressing objects: 49% (18535/37826) remote: Compressing objects: 50% (18913/37826) remote: Compressing objects: 51% (19292/37826) remote: Compressing objects: 52% (19670/37826) remote: Compressing objects: 53% (20048/37826) remote: Compressing objects: 54% (20427/37826) remote: Compressing objects: 55% (20805/37826) remote: Compressing objects: 56% (21183/37826) remote: Compressing objects: 57% (21561/37826) remote: Compressing objects: 58% (21940/37826) remote: Compressing objects: 59% (22318/37826) remote: Compressing objects: 60% (22696/37826) remote: Compressing objects: 61% (23074/37826) remote: Compressing objects: 62% (23453/37826) remote: Compressing objects: 63% (23831/37826) remote: Compressing objects: 64% (24209/37826) remote: Compressing objects: 65% (24587/37826) remote: Compressing objects: 66% (24966/37826) remote: Compressing objects: 67% (25344/37826) remote: Compressing objects: 68% (25722/37826) remote: Compressing objects: 69% (26100/37826) remote: Compressing objects: 70% (26479/37826) remote: Compressing objects: 71% (26857/37826) remote: Compressing objects: 72% (27235/37826) remote: Compressing objects: 73% (27613/37826) remote: Compressing objects: 74% (27992/37826) remote: Compressing objects: 75% (28370/37826) remote: Compressing objects: 76% (28748/37826) remote: Compressing objects: 77% (29127/37826) remote: Compressing objects: 78% (29505/37826) remote: Compressing objects: 79% (29883/37826) remote: Compressing objects: 80% (30261/37826) remote: Compressing objects: 81% (30640/37826) remote: Compressing objects: 82% (31018/37826) remote: Compressing objects: 83% (31396/37826) remote: Compressing objects: 84% (31774/37826) remote: Compressing objects: 85% (32153/37826) remote: Compressing objects: 86% (32531/37826) remote: Compressing objects: 87% (32909/37826) remote: Compressing objects: 88% (33287/37826) remote: Compressing objects: 89% (33666/37826) remote: Compressing objects: 90% (34044/37826) remote: Compressing objects: 91% (34422/37826) remote: Compressing objects: 92% (34800/37826) remote: Compressing objects: 93% (35179/37826) remote: Compressing objects: 94% (35557/37826) remote: Compressing objects: 95% (35935/37826) remote: Compressing objects: 96% (36313/37826) remote: Compressing objects: 97% (36692/37826) remote: Compressing objects: 98% (37070/37826) remote: Compressing objects: 99% (37448/37826) remote: Compressing objects: 100% (37826/37826) remote: Compressing objects: 100% (37826/37826), done. Receiving objects: 0% (1/154623) Receiving objects: 1% (1547/154623) Receiving objects: 2% (3093/154623) Receiving objects: 3% (4639/154623) Receiving objects: 4% (6185/154623) Receiving objects: 5% (7732/154623) Receiving objects: 6% (9278/154623) Receiving objects: 7% (10824/154623) Receiving objects: 8% (12370/154623) Receiving objects: 9% (13917/154623) Receiving objects: 10% (15463/154623) Receiving objects: 11% (17009/154623) Receiving objects: 12% (18555/154623) Receiving objects: 13% (20101/154623) Receiving objects: 14% (21648/154623) Receiving objects: 15% (23194/154623) Receiving objects: 16% (24740/154623) Receiving objects: 17% (26286/154623) Receiving objects: 18% (27833/154623) Receiving objects: 19% (29379/154623) Receiving objects: 20% (30925/154623) Receiving objects: 21% (32471/154623) Receiving objects: 22% (34018/154623) Receiving objects: 23% (35564/154623) Receiving objects: 24% (37110/154623) Receiving objects: 25% (38656/154623) Receiving objects: 26% (40202/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 27% (41749/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 28% (43295/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 29% (44841/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 30% (46387/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 31% (47934/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 32% (49480/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 33% (51026/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 34% (52572/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 35% (54119/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 35% (54367/154623), 10.11 MiB | 20.21 MiB/s Receiving objects: 36% (55665/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 37% (57211/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 38% (58757/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 39% (60303/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 40% (61850/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 41% (63396/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 42% (64942/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 43% (66488/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 44% (68035/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 45% (69581/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 46% (71127/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 47% (72673/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 48% (74220/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 49% (75766/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 50% (77312/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 51% (78858/154623), 23.78 MiB | 23.77 MiB/s Receiving objects: 52% (80404/154623), 39.10 MiB | 26.06 MiB/s Receiving objects: 52% (81897/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 53% (81951/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 54% (83497/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 55% (85043/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 56% (86589/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 57% (88136/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 58% (89682/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 59% (91228/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 60% (92774/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 61% (94321/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 62% (95867/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 63% (97413/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 64% (98959/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 65% (100505/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 66% (102052/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 67% (103598/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 68% (105144/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 69% (106690/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 70% (108237/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 71% (109783/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 72% (111329/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 73% (112875/154623), 55.66 MiB | 27.83 MiB/s Receiving objects: 74% (114422/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 75% (115968/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 76% (117514/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 77% (119060/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 78% (120606/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 79% (122153/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 80% (123699/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 81% (125245/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 82% (126791/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 83% (128338/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 84% (129884/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 85% (131430/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 86% (132976/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 87% (134523/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 88% (136069/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 89% (137615/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 90% (139161/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 91% (140707/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 92% (142254/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 93% (143800/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 94% (145346/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 95% (146892/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 96% (148439/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 97% (149985/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 98% (151531/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 99% (153077/154623), 72.80 MiB | 29.12 MiB/s remote: Total 154623 (delta 117710), reused 152935 (delta 116025), pack-reused 0 Receiving objects: 100% (154623/154623), 72.80 MiB | 29.12 MiB/s Receiving objects: 100% (154623/154623), 83.06 MiB | 29.31 MiB/s, done. Resolving deltas: 0% (0/117710) Resolving deltas: 1% (1185/117710) Resolving deltas: 2% (2371/117710) Resolving deltas: 3% (3538/117710) Resolving deltas: 4% (4732/117710) Resolving deltas: 5% (5890/117710) Resolving deltas: 6% (7063/117710) Resolving deltas: 7% (8241/117710) Resolving deltas: 8% (9495/117710) Resolving deltas: 9% (10917/117710) Resolving deltas: 10% (11777/117710) Resolving deltas: 11% (12950/117710) Resolving deltas: 12% (14191/117710) Resolving deltas: 13% (15305/117710) Resolving deltas: 14% (16483/117710) Resolving deltas: 15% (17657/117710) Resolving deltas: 16% (19231/117710) Resolving deltas: 17% (20388/117710) Resolving deltas: 18% (21616/117710) Resolving deltas: 19% (22451/117710) Resolving deltas: 20% (23547/117710) Resolving deltas: 21% (24768/117710) Resolving deltas: 22% (25904/117710) Resolving deltas: 23% (27141/117710) Resolving deltas: 24% (28252/117710) Resolving deltas: 25% (29512/117710) Resolving deltas: 26% (30605/117710) Resolving deltas: 27% (31833/117710) Resolving deltas: 28% (33118/117710) Resolving deltas: 29% (34178/117710) Resolving deltas: 30% (35330/117710) Resolving deltas: 31% (36668/117710) Resolving deltas: 32% (37690/117710) Resolving deltas: 33% (39186/117710) Resolving deltas: 34% (40133/117710) Resolving deltas: 35% (41224/117710) Resolving deltas: 36% (42385/117710) Resolving deltas: 37% (43560/117710) Resolving deltas: 38% (44751/117710) Resolving deltas: 39% (46000/117710) Resolving deltas: 40% (47539/117710) Resolving deltas: 41% (48275/117710) Resolving deltas: 42% (49459/117710) Resolving deltas: 43% (50655/117710) Resolving deltas: 44% (51808/117710) Resolving deltas: 45% (52974/117710) Resolving deltas: 46% (54292/117710) Resolving deltas: 47% (55392/117710) Resolving deltas: 48% (56511/117710) Resolving deltas: 49% (58199/117710) Resolving deltas: 50% (58873/117710) Resolving deltas: 51% (60197/117710) Resolving deltas: 52% (61246/117710) Resolving deltas: 53% (62405/117710) Resolving deltas: 54% (63571/117710) Resolving deltas: 55% (64753/117710) Resolving deltas: 56% (66392/117710) Resolving deltas: 57% (67188/117710) Resolving deltas: 58% (68290/117710) Resolving deltas: 59% (69477/117710) Resolving deltas: 60% (70749/117710) Resolving deltas: 61% (71817/117710) Resolving deltas: 62% (72985/117710) Resolving deltas: 63% (74190/117710) Resolving deltas: 64% (75360/117710) Resolving deltas: 65% (76524/117710) Resolving deltas: 66% (77694/117710) Resolving deltas: 67% (78874/117710) Resolving deltas: 68% (80077/117710) Resolving deltas: 69% (81229/117710) Resolving deltas: 70% (82525/117710) Resolving deltas: 71% (83586/117710) Resolving deltas: 72% (84847/117710) Resolving deltas: 73% (85948/117710) Resolving deltas: 74% (87199/117710) Resolving deltas: 75% (88317/117710) Resolving deltas: 76% (89516/117710) Resolving deltas: 77% (90699/117710) Resolving deltas: 78% (91814/117710) Resolving deltas: 79% (93019/117710) Resolving deltas: 80% (94170/117710) Resolving deltas: 81% (95348/117710) Resolving deltas: 82% (96527/117710) Resolving deltas: 82% (97267/117710) Resolving deltas: 83% (98084/117710) Resolving deltas: 84% (98878/117710) Resolving deltas: 85% (100145/117710) Resolving deltas: 86% (101278/117710) Resolving deltas: 87% (102411/117710) Resolving deltas: 88% (103605/117710) Resolving deltas: 89% (104768/117710) Resolving deltas: 90% (105943/117710) Resolving deltas: 91% (107177/117710) Resolving deltas: 92% (108448/117710) Resolving deltas: 93% (109536/117710) Resolving deltas: 93% (110008/117710) Resolving deltas: 94% (110716/117710) Resolving deltas: 95% (111825/117710) Resolving deltas: 96% (113012/117710) Resolving deltas: 97% (114203/117710) Resolving deltas: 98% (115462/117710) Resolving deltas: 99% (116534/117710) Resolving deltas: 100% (117710/117710) Resolving deltas: 100% (117710/117710), completed with 696 local objects. From https://github.com/scikit-learn/scikit-learn * branch refs/pull/14443/merge -> FETCH_HEAD travis_time:end:0306b9b8:start=1563868013336213741,finish=1563868026674733490,duration=13338519749 $ git checkout -qf FETCH_HEAD travis_fold:end:git.checkout Setting environment variables from .travis.yml $ export TEST_DIR=/tmp/sklearn $ export OMP_NUM_THREADS=4 $ export OPENBLAS_NUM_THREADS=4 $ export DISTRIB="conda" $ export PYTHON_VERSION="3.4" $ export INSTALL_MKL="false" $ export NUMPY_VERSION="1.10.4" $ export SCIPY_VERSION="0.17" $ export CYTHON_VERSION="0.25.2" $ export PILLOW_VERSION="4.0.0" $ export COVERAGE=true travis_time:start:097678d0 $ source ~/virtualenv/python3.6/bin/activate travis_time:end:097678d0:start=1563868026853970000,finish=1563868026860201939,duration=6231939 travis_fold:start:cache.1 Setting up build cache $ export CASHER_DIR=${TRAVIS_HOME}/.casher travis_time:start:05054d0a $ Installing caching utilities travis_time:end:05054d0a:start=1563868031282635051,finish=1563868031433460454,duration=150825403 travis_time:start:0373e813 travis_time:end:0373e813:start=1563868031439220902,finish=1563868031442432087,duration=3211185 travis_time:start:229b742e attempting to download cache archive fetching PR.14443/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz fetching PR.14443/cache--python-3.6.tgz fetching 0.20.X/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz fetching 0.20.X/cache--python-3.6.tgz fetching master/cache-linux-trusty-e4b54c2f961aa34daa3aa7a462c215ee910ea508dd760c38e9b0da68b2762612--python-3.6.tgz fetching master/cache--python-3.6.tgz could not download cache travis_time:end:229b742e:start=1563868031446524827,finish=1563868033100798809,duration=1654273982 travis_time:start:1669c52d travis_time:end:1669c52d:start=1563868033104989955,finish=1563868033107928047,duration=2938092 travis_time:start:0e184012 adding /home/travis/.cache/pip to cache adding /home/travis/.ccache to cache travis_time:end:0e184012:start=1563868033111639810,finish=1563868034299370723,duration=1187730913 travis_fold:end:cache.1 $ python --version Python 3.6.3 $ pip --version pip 9.0.1 from /home/travis/virtualenv/python3.6.3/lib/python3.6/site-packages (python 3.6) travis_fold:start:install travis_time:start:012630b4 $ source build_tools/travis/install.sh +++echo 'List files from cached directories' List files from cached directories +++echo pip: pip: +++ls /home/travis/.cache/pip http wheels +++export CC=/usr/lib/ccache/gcc +++CC=/usr/lib/ccache/gcc +++export CXX=/usr/lib/ccache/g++ +++CXX=/usr/lib/ccache/g++ +++ccache --max-size 100M --show-stats Set cache size limit to 100.0 Mbytes cache directory /home/travis/.ccache cache hit (direct) 0 cache hit (preprocessed) 0 cache miss 0 files in cache 0 cache size 0 Kbytes max cache size 100.0 Mbytes +++[[ conda == \c\o\n\d\a ]] +++TO_INSTALL='python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2' +++[[ false == \t\r\u\e ]] +++TO_INSTALL='python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl' +++[[ -n '' ]] +++[[ -n '' ]] +++[[ -n 4.0.0 ]] +++TO_INSTALL='python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0' +++[[ -n '' ]] +++make_conda python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0 +++TO_INSTALL='python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0' +++deactivate +++unset -f pydoc +++'[' -z _ ']' +++PATH=/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++export PATH +++unset _OLD_VIRTUAL_PATH +++'[' -z '' ']' +++'[' -n /bin/bash ']' +++hash -r +++'[' -z _ ']' +++PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ ' +++export PS1 +++unset _OLD_VIRTUAL_PS1 +++unset VIRTUAL_ENV +++'[' '!' '' = nondestructive ']' +++unset -f deactivate +++wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh --2019-07-23 07:47:15-- https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh Resolving repo.continuum.io (repo.continuum.io)... 104.18.200.79, 104.18.201.79, 2606:4700::6812:c84f, ... Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 70348401 (67M) [application/x-sh] Saving to: ‘miniconda.sh’ 0% [ ] 0 --.-K/s 56% [====================> ] 39,484,160 188MB/s 100%[======================================>] 70,348,401 176MB/s in 0.4s 2019-07-23 07:47:15 (176 MB/s) - ‘miniconda.sh’ saved [70348401/70348401] +++MINICONDA_PATH=/home/travis/miniconda +++chmod +x miniconda.sh +++./miniconda.sh -b -p /home/travis/miniconda PREFIX=/home/travis/miniconda installing: python-3.7.3-h0371630_0 ... Python 3.7.3 installing: ca-certificates-2019.1.23-0 ... installing: libgcc-ng-8.2.0-hdf63c60_1 ... installing: libstdcxx-ng-8.2.0-hdf63c60_1 ... installing: libffi-3.2.1-hd88cf55_4 ... installing: ncurses-6.1-he6710b0_1 ... installing: openssl-1.1.1b-h7b6447c_1 ... installing: xz-5.2.4-h14c3975_4 ... installing: yaml-0.1.7-had09818_2 ... installing: zlib-1.2.11-h7b6447c_3 ... installing: libedit-3.1.20181209-hc058e9b_0 ... installing: readline-7.0-h7b6447c_5 ... installing: tk-8.6.8-hbc83047_0 ... installing: sqlite-3.27.2-h7b6447c_0 ... installing: asn1crypto-0.24.0-py37_0 ... installing: certifi-2019.3.9-py37_0 ... installing: chardet-3.0.4-py37_1 ... installing: idna-2.8-py37_0 ... installing: pycosat-0.6.3-py37h14c3975_0 ... installing: pycparser-2.19-py37_0 ... installing: pysocks-1.6.8-py37_0 ... installing: ruamel_yaml-0.15.46-py37h14c3975_0 ... installing: six-1.12.0-py37_0 ... installing: cffi-1.12.2-py37h2e261b9_1 ... installing: setuptools-41.0.0-py37_0 ... installing: cryptography-2.6.1-py37h1ba5d50_0 ... installing: wheel-0.33.1-py37_0 ... installing: pip-19.0.3-py37_0 ... installing: pyopenssl-19.0.0-py37_0 ... installing: urllib3-1.24.1-py37_0 ... installing: requests-2.21.0-py37_0 ... installing: conda-4.6.14-py37_0 ... installation finished. +++export PATH=/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++PATH=/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++conda update --yes conda Collecting package metadata: - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done Solving environment: | / - \ | / - \ | / done ## Package Plan ## environment location: /home/travis/miniconda added / updated specs: - conda The following packages will be downloaded: package | build ---------------------------|----------------- _libgcc_mutex-0.1 | main 3 KB bzip2-1.0.8 | h7b6447c_0 105 KB ca-certificates-2019.5.15 | 0 133 KB certifi-2019.6.16 | py37_0 154 KB conda-4.7.10 | py37_0 3.0 MB conda-package-handling-1.3.11| py37_0 260 KB libarchive-3.3.3 | h5d8350f_5 1.5 MB libxml2-2.9.9 | hea5a465_1 2.0 MB lz4-c-1.8.1.2 | h14c3975_0 158 KB lzo-2.10 | h49e0be7_2 313 KB openssl-1.1.1c | h7b6447c_1 3.8 MB python-libarchive-c-2.8 | py37_11 23 KB tqdm-4.32.1 | py_0 48 KB zstd-1.3.7 | h0b5b093_0 887 KB ------------------------------------------------------------ Total: 12.3 MB The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0 conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.3.11-py37_0 libarchive pkgs/main/linux-64::libarchive-3.3.3-h5d8350f_5 libxml2 pkgs/main/linux-64::libxml2-2.9.9-hea5a465_1 lz4-c pkgs/main/linux-64::lz4-c-1.8.1.2-h14c3975_0 lzo pkgs/main/linux-64::lzo-2.10-h49e0be7_2 python-libarchive~ pkgs/main/linux-64::python-libarchive-c-2.8-py37_11 tqdm pkgs/main/noarch::tqdm-4.32.1-py_0 zstd pkgs/main/linux-64::zstd-1.3.7-h0b5b093_0 The following packages will be UPDATED: ca-certificates 2019.1.23-0 --> 2019.5.15-0 certifi 2019.3.9-py37_0 --> 2019.6.16-py37_0 conda 4.6.14-py37_0 --> 4.7.10-py37_0 openssl 1.1.1b-h7b6447c_1 --> 1.1.1c-h7b6447c_1 Downloading and Extracting Packages libarchive-3.3.3 | 1.5 MB | | 0% libarchive-3.3.3 | 1.5 MB | ##############################7 | 83% libarchive-3.3.3 | 1.5 MB | ##################################### | 100% _libgcc_mutex-0.1 | 3 KB | | 0% _libgcc_mutex-0.1 | 3 KB | ##################################### | 100% python-libarchive-c- | 23 KB | | 0% python-libarchive-c- | 23 KB | ##################################### | 100% conda-package-handli | 260 KB | | 0% conda-package-handli | 260 KB | ##################################### | 100% openssl-1.1.1c | 3.8 MB | | 0% openssl-1.1.1c | 3.8 MB | ############################5 | 77% openssl-1.1.1c | 3.8 MB | ##################################### | 100% zstd-1.3.7 | 887 KB | | 0% zstd-1.3.7 | 887 KB | ################################## | 92% zstd-1.3.7 | 887 KB | ##################################### | 100% lz4-c-1.8.1.2 | 158 KB | | 0% lz4-c-1.8.1.2 | 158 KB | ##################################### | 100% certifi-2019.6.16 | 154 KB | | 0% certifi-2019.6.16 | 154 KB | ##################################### | 100% tqdm-4.32.1 | 48 KB | | 0% tqdm-4.32.1 | 48 KB | ##################################### | 100% lzo-2.10 | 313 KB | | 0% lzo-2.10 | 313 KB | ##################################### | 100% libxml2-2.9.9 | 2.0 MB | | 0% libxml2-2.9.9 | 2.0 MB | ############################7 | 78% libxml2-2.9.9 | 2.0 MB | ##################################### | 100% conda-4.7.10 | 3.0 MB | | 0% conda-4.7.10 | 3.0 MB | ############################4 | 77% conda-4.7.10 | 3.0 MB | ##################################### | 100% bzip2-1.0.8 | 105 KB | | 0% bzip2-1.0.8 | 105 KB | ##################################### | 100% ca-certificates-2019 | 133 KB | | 0% ca-certificates-2019 | 133 KB | ##################################### | 100% Preparing transaction: \ done Verifying transaction: / - done Executing transaction: | / done +++conda create -c conda-forge -n testenv --yes python=3.4 pip pytest pytest-cov numpy=1.10.4 scipy=0.17 cython=0.25.2 nomkl pillow=4.0.0 Collecting package metadata (current_repodata.json): - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done Solving environment: \ failed with current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done Solving environment: / - \ | / - \ done ## Package Plan ## environment location: /home/travis/miniconda/envs/testenv added / updated specs: - cython=0.25.2 - nomkl - numpy=1.10.4 - pillow=4.0.0 - pip - pytest - pytest-cov - python=3.4 - scipy=0.17 The following packages will be downloaded: package | build ---------------------------|----------------- blas-1.1 | openblas 1 KB conda-forge ca-certificates-2019.6.16 | hecc5488_0 145 KB conda-forge certifi-2017.1.23 | py34_0 222 KB conda-forge coverage-4.4.2 | py34_0 238 KB conda-forge cython-0.25.2 | py34_0 7.3 MB conda-forge freetype-2.6.3 | 1 2.8 MB conda-forge jpeg-9c | h14c3975_1001 251 KB conda-forge libgcc-ng-9.1.0 | hdf63c60_0 5.1 MB libgfortran-3.0.0 | 1 281 KB conda-forge libpng-1.6.37 | hed695b0_0 343 KB conda-forge libstdcxx-ng-9.1.0 | hdf63c60_0 3.1 MB libtiff-4.0.10 | h57b8799_1003 587 KB conda-forge lz4-c-1.8.3 | he1b5a44_1001 187 KB conda-forge ncurses-5.9 | 10 1.1 MB conda-forge nomkl-3.0 | 0 46 KB numpy-1.10.4 |py34_blas_openblas_205 7.1 MB conda-forge openblas-0.2.19 | 2 14.1 MB conda-forge openssl-1.0.2r | h14c3975_0 3.1 MB conda-forge pillow-4.0.0 | py34_0 925 KB conda-forge pip-9.0.1 | py34_0 1.7 MB conda-forge py-1.8.0 | py_0 65 KB conda-forge pytest-3.2.2 | py_0 129 KB conda-forge pytest-cov-2.6.1 | py_0 17 KB conda-forge python-3.4.5 | 2 26.9 MB conda-forge readline-6.2 | 0 713 KB conda-forge scipy-0.17.1 |np110py34_blas_openblas_205 31.4 MB conda-forge setuptools-32.3.1 | py34_0 507 KB conda-forge sqlite-3.13.0 | 1 4.9 MB conda-forge tk-8.5.19 | 2 1.9 MB conda-forge wheel-0.29.0 | py34_0 82 KB conda-forge xz-5.2.4 | h14c3975_1001 366 KB conda-forge zlib-1.2.11 | h516909a_1005 105 KB conda-forge zstd-1.4.0 | h3b9ef0a_0 928 KB conda-forge ------------------------------------------------------------ Total: 116.5 MB The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main blas conda-forge/linux-64::blas-1.1-openblas ca-certificates conda-forge/linux-64::ca-certificates-2019.6.16-hecc5488_0 certifi conda-forge/linux-64::certifi-2017.1.23-py34_0 coverage conda-forge/linux-64::coverage-4.4.2-py34_0 cython conda-forge/linux-64::cython-0.25.2-py34_0 freetype conda-forge/linux-64::freetype-2.6.3-1 jpeg conda-forge/linux-64::jpeg-9c-h14c3975_1001 libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0 libgfortran conda-forge/linux-64::libgfortran-3.0.0-1 libpng conda-forge/linux-64::libpng-1.6.37-hed695b0_0 libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0 libtiff conda-forge/linux-64::libtiff-4.0.10-h57b8799_1003 lz4-c conda-forge/linux-64::lz4-c-1.8.3-he1b5a44_1001 ncurses conda-forge/linux-64::ncurses-5.9-10 nomkl pkgs/main/linux-64::nomkl-3.0-0 numpy conda-forge/linux-64::numpy-1.10.4-py34_blas_openblas_205 openblas conda-forge/linux-64::openblas-0.2.19-2 openssl conda-forge/linux-64::openssl-1.0.2r-h14c3975_0 pillow conda-forge/linux-64::pillow-4.0.0-py34_0 pip conda-forge/linux-64::pip-9.0.1-py34_0 py conda-forge/noarch::py-1.8.0-py_0 pytest conda-forge/noarch::pytest-3.2.2-py_0 pytest-cov conda-forge/noarch::pytest-cov-2.6.1-py_0 python conda-forge/linux-64::python-3.4.5-2 readline conda-forge/linux-64::readline-6.2-0 scipy conda-forge/linux-64::scipy-0.17.1-np110py34_blas_openblas_205 setuptools conda-forge/linux-64::setuptools-32.3.1-py34_0 sqlite conda-forge/linux-64::sqlite-3.13.0-1 tk conda-forge/linux-64::tk-8.5.19-2 wheel conda-forge/linux-64::wheel-0.29.0-py34_0 xz conda-forge/linux-64::xz-5.2.4-h14c3975_1001 zlib conda-forge/linux-64::zlib-1.2.11-h516909a_1005 zstd conda-forge/linux-64::zstd-1.4.0-h3b9ef0a_0 Downloading and Extracting Packages pytest-3.2.2 | 129 KB | | 0% pytest-3.2.2 | 129 KB | #############7 | 37% pytest-3.2.2 | 129 KB | ##################################### | 100% xz-5.2.4 | 366 KB | | 0% xz-5.2.4 | 366 KB | ##################################### | 100% jpeg-9c | 251 KB | | 0% jpeg-9c | 251 KB | ##################################### | 100% setuptools-32.3.1 | 507 KB | | 0% setuptools-32.3.1 | 507 KB | ##################################### | 100% scipy-0.17.1 | 31.4 MB | | 0% scipy-0.17.1 | 31.4 MB | ######8 | 19% scipy-0.17.1 | 31.4 MB | #######################2 | 63% scipy-0.17.1 | 31.4 MB | ##################################### | 100% wheel-0.29.0 | 82 KB | | 0% wheel-0.29.0 | 82 KB | ##################################### | 100% coverage-4.4.2 | 238 KB | | 0% coverage-4.4.2 | 238 KB | ##################################### | 100% libgcc-ng-9.1.0 | 5.1 MB | | 0% libgcc-ng-9.1.0 | 5.1 MB | ##6 | 7% libgcc-ng-9.1.0 | 5.1 MB | ##################################### | 100% libpng-1.6.37 | 343 KB | | 0% libpng-1.6.37 | 343 KB | ##################################### | 100% lz4-c-1.8.3 | 187 KB | | 0% lz4-c-1.8.3 | 187 KB | ##################################### | 100% libgfortran-3.0.0 | 281 KB | | 0% libgfortran-3.0.0 | 281 KB | ##################################### | 100% libstdcxx-ng-9.1.0 | 3.1 MB | | 0% libstdcxx-ng-9.1.0 | 3.1 MB | ##################################### | 100% ca-certificates-2019 | 145 KB | | 0% ca-certificates-2019 | 145 KB | ##################################### | 100% certifi-2017.1.23 | 222 KB | | 0% certifi-2017.1.23 | 222 KB | ##################################### | 100% pytest-cov-2.6.1 | 17 KB | | 0% pytest-cov-2.6.1 | 17 KB | ##################################### | 100% tk-8.5.19 | 1.9 MB | | 0% tk-8.5.19 | 1.9 MB | ##################################### | 100% freetype-2.6.3 | 2.8 MB | | 0% freetype-2.6.3 | 2.8 MB | ##################################### | 100% ncurses-5.9 | 1.1 MB | | 0% ncurses-5.9 | 1.1 MB | ##################################### | 100% python-3.4.5 | 26.9 MB | | 0% python-3.4.5 | 26.9 MB | #########3 | 25% python-3.4.5 | 26.9 MB | ###########################8 | 75% python-3.4.5 | 26.9 MB | ##################################### | 100% openblas-0.2.19 | 14.1 MB | | 0% openblas-0.2.19 | 14.1 MB | ################8 | 46% openblas-0.2.19 | 14.1 MB | ##################################### | 100% libtiff-4.0.10 | 587 KB | | 0% libtiff-4.0.10 | 587 KB | ##################################### | 100% blas-1.1 | 1 KB | | 0% blas-1.1 | 1 KB | ##################################### | 100% py-1.8.0 | 65 KB | | 0% py-1.8.0 | 65 KB | ##################################### | 100% zstd-1.4.0 | 928 KB | | 0% zstd-1.4.0 | 928 KB | ##################################### | 100% numpy-1.10.4 | 7.1 MB | | 0% numpy-1.10.4 | 7.1 MB | ##################################### | 100% sqlite-3.13.0 | 4.9 MB | | 0% sqlite-3.13.0 | 4.9 MB | ##################################### | 100% cython-0.25.2 | 7.3 MB | | 0% cython-0.25.2 | 7.3 MB | ##################################### | 100% pip-9.0.1 | 1.7 MB | | 0% pip-9.0.1 | 1.7 MB | ##################################### | 100% zlib-1.2.11 | 105 KB | | 0% zlib-1.2.11 | 105 KB | ##################################### | 100% nomkl-3.0 | 46 KB | | 0% nomkl-3.0 | 46 KB | ##################################### | 100% openssl-1.0.2r | 3.1 MB | | 0% openssl-1.0.2r | 3.1 MB | ##################################### | 100% pillow-4.0.0 | 925 KB | | 0% pillow-4.0.0 | 925 KB | ##################################### | 100% readline-6.2 | 713 KB | | 0% readline-6.2 | 713 KB | ##################################### | 100% Preparing transaction: / - \ | / done Verifying transaction: \ | / - \ | / - \ | / - \ | / - \ done Executing transaction: / - \ | / - \ | / - \ | / - done # # To activate this environment, use # # $ conda activate testenv # # To deactivate an active environment, use # # $ conda deactivate +++source activate testenv ++++_CONDA_ROOT=/home/travis/miniconda ++++. /home/travis/miniconda/etc/profile.d/conda.sh +++++export CONDA_EXE=/home/travis/miniconda/bin/conda +++++CONDA_EXE=/home/travis/miniconda/bin/conda +++++export _CE_M= +++++_CE_M= +++++export _CE_CONDA= +++++_CE_CONDA= +++++export CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python +++++CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python +++++'[' -z '' ']' +++++export CONDA_SHLVL=0 +++++CONDA_SHLVL=0 +++++'[' -n x ']' +++++'[' -n '' ']' +++++++dirname /home/travis/miniconda/bin/conda ++++++dirname /home/travis/miniconda/bin +++++PATH=/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++++export PATH +++++'[' -z x ']' ++++conda activate testenv ++++'[' 2 -lt 1 ']' ++++local cmd=activate ++++shift ++++case "$cmd" in ++++__conda_activate activate testenv ++++'[' -n '' ']' ++++local cmd=activate ++++shift ++++local ask_conda ++++OLDPATH=/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin ++++__add_sys_prefix_to_path ++++'[' -n '' ']' +++++dirname /home/travis/miniconda/bin/conda ++++SYSP=/home/travis/miniconda/bin +++++dirname /home/travis/miniconda/bin ++++SYSP=/home/travis/miniconda ++++'[' -n '' ']' ++++PATH=/home/travis/miniconda/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin ++++export PATH +++++PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ ' +++++/home/travis/miniconda/bin/conda shell.posix activate testenv ++++ask_conda='PS1='\''(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '\'' export PATH='\''/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin'\'' export CONDA_PREFIX='\''/home/travis/miniconda/envs/testenv'\'' export CONDA_SHLVL='\''1'\'' export CONDA_DEFAULT_ENV='\''testenv'\'' export CONDA_PROMPT_MODIFIER='\''(testenv) '\'' export CONDA_EXE='\''/home/travis/miniconda/bin/conda'\'' export _CE_M='\'''\'' export _CE_CONDA='\'''\'' export CONDA_PYTHON_EXE='\''/home/travis/miniconda/bin/python'\''' ++++PATH=/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin ++++eval 'PS1='\''(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '\'' export PATH='\''/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin'\'' export CONDA_PREFIX='\''/home/travis/miniconda/envs/testenv'\'' export CONDA_SHLVL='\''1'\'' export CONDA_DEFAULT_ENV='\''testenv'\'' export CONDA_PROMPT_MODIFIER='\''(testenv) '\'' export CONDA_EXE='\''/home/travis/miniconda/bin/conda'\'' export _CE_M='\'''\'' export _CE_CONDA='\'''\'' export CONDA_PYTHON_EXE='\''/home/travis/miniconda/bin/python'\''' +++++PS1='(testenv) ${debian_chroot:+($debian_chroot)}\u@\h:\w\$ ' +++++export PATH=/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++++PATH=/home/travis/miniconda/envs/testenv/bin:/home/travis/miniconda/condabin:/home/travis/miniconda/bin:/home/travis/.rvm/gems/ruby-2.4.1/bin:/home/travis/.rvm/gems/ruby-2.4.1@global/bin:/home/travis/.rvm/rubies/ruby-2.4.1/bin:/home/travis/.rvm/bin:/home/travis/bin:/home/travis/.local/bin:/opt/pyenv/shims:/home/travis/.phpenv/shims:/home/travis/perl5/perlbrew/bin:/home/travis/.nvm/versions/node/v8.9.1/bin:/home/travis/.kiex/elixirs/elixir-1.4.5/bin:/home/travis/.kiex/bin:/home/travis/gopath/bin:/home/travis/.gimme/versions/go1.7.4.linux.amd64/bin:/usr/local/phantomjs/bin:/usr/local/phantomjs:/usr/local/neo4j-3.2.7/bin:/usr/local/maven-3.5.2/bin:/usr/local/cmake-3.9.2/bin:/usr/local/clang-5.0.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/travis/.phpenv/bin:/opt/pyenv/bin:/home/travis/.yarn/bin +++++export CONDA_PREFIX=/home/travis/miniconda/envs/testenv +++++CONDA_PREFIX=/home/travis/miniconda/envs/testenv +++++export CONDA_SHLVL=1 +++++CONDA_SHLVL=1 +++++export CONDA_DEFAULT_ENV=testenv +++++CONDA_DEFAULT_ENV=testenv +++++export 'CONDA_PROMPT_MODIFIER=(testenv) ' +++++CONDA_PROMPT_MODIFIER='(testenv) ' +++++export CONDA_EXE=/home/travis/miniconda/bin/conda +++++CONDA_EXE=/home/travis/miniconda/bin/conda +++++export _CE_M= +++++_CE_M= +++++export _CE_CONDA= +++++_CE_CONDA= +++++export CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python +++++CONDA_PYTHON_EXE=/home/travis/miniconda/bin/python ++++__conda_hashr ++++'[' -n '' ']' ++++'[' -n '' ']' ++++hash -r +++[[ 3.4 == \3\.\4 ]] +++pip install pytest==3.5 Collecting pytest==3.5 Downloading https://files.pythonhosted.org/packages/ed/96/271c93f75212c06e2a7ec3e2fa8a9c90acee0a4838dc05bf379ea09aae31/pytest-3.5.0-py2.py3-none-any.whl (194kB) 5% |█▊ | 10kB 30.8MB/s eta 0:00:01 10% |███▍ | 20kB 2.2MB/s eta 0:00:01 15% |█████ | 30kB 3.1MB/s eta 0:00:01 21% |██████▊ | 40kB 2.0MB/s eta 0:00:01 26% |████████▍ | 51kB 2.5MB/s eta 0:00:01 31% |██████████▏ | 61kB 3.0MB/s eta 0:00:01 36% 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| 10kB 39.6MB/s eta 0:00:01 15% |█████ | 20kB 40.2MB/s eta 0:00:01 23% |███████▍ | 30kB 40.4MB/s eta 0:00:01 30% |█████████▉ | 40kB 41.5MB/s eta 0:00:01 38% |████████████▎ | 51kB 41.5MB/s eta 0:00:01 46% |██████████████▊ | 61kB 43.3MB/s eta 0:00:01 53% |█████████████████▏ | 71kB 43.3MB/s eta 0:00:01 61% |███████████████████▋ | 81kB 43.2MB/s eta 0:00:01 69% |██████████████████████▏ | 92kB 43.7MB/s eta 0:00:01 76% |████████████████████████▋ | 102kB 44.0MB/s eta 0:00:01 84% |███████████████████████████ | 112kB 45.0MB/s eta 0:00:01 92% |█████████████████████████████▌ | 122kB 45.3MB/s eta 0:00:01 99% |████████████████████████████████| 133kB 45.5MB/s eta 0:00:01 100% |████████████████████████████████| 143kB 7.9MB/s Installing collected packages: certifi, idna, urllib3, chardet, requests, codecov Found existing installation: certifi 2017.1.23 DEPRECATION: Uninstalling a distutils installed project (certifi) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project. Uninstalling certifi-2017.1.23: Successfully uninstalled certifi-2017.1.23 Successfully installed certifi-2019.6.16 chardet-3.0.4 codecov-2.0.15 idna-2.8 requests-2.21.0 urllib3-1.24.3 +++[[ '' == \t\r\u\e ]] +++python --version Python 3.4.5 +++python -c 'import numpy; print('\''numpy %s'\'' % numpy.__version__)' numpy 1.10.4 +++python -c 'import scipy; print('\''scipy %s'\'' % scipy.__version__)' scipy 0.17.1 +++python -c 'try: import pandas print('\''pandas %s'\'' % pandas.__version__) except ImportError: pass ' +++python setup.py develop Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/home/travis/miniconda/envs/testenv/lib'] NOT AVAILABLE openblas_info: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/distutils/system_info.py:635: UserWarning: Specified path is invalid. warnings.warn('Specified path %s is invalid.' % d) libraries openblas not found in [] Runtime library openblas was not found. Ignoring FOUND: library_dirs = ['/home/travis/miniconda/envs/testenv/lib'] language = c define_macros = [('HAVE_CBLAS', None)] libraries = ['openblas', 'openblas'] FOUND: library_dirs = ['/home/travis/miniconda/envs/testenv/lib'] language = c define_macros = [('HAVE_CBLAS', None)] libraries = ['openblas', 'openblas'] sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors' Compiling sklearn/__check_build/_check_build.pyx because it changed. Compiling sklearn/cluster/_dbscan_inner.pyx because it changed. Compiling sklearn/cluster/_hierarchical.pyx because it changed. Compiling sklearn/cluster/_k_means_elkan.pyx because it changed. Compiling sklearn/cluster/_k_means.pyx because it changed. Compiling sklearn/datasets/_svmlight_format.pyx because it changed. Compiling sklearn/decomposition/_online_lda.pyx because it changed. Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed. Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed. Compiling sklearn/feature_extraction/_hashing.pyx because it changed. Compiling sklearn/manifold/_utils.pyx because it changed. Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed. Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed. Compiling sklearn/metrics/pairwise_fast.pyx because it changed. Compiling sklearn/neighbors/ball_tree.pyx because it changed. Compiling sklearn/neighbors/kd_tree.pyx because it changed. Compiling sklearn/neighbors/dist_metrics.pyx because it changed. Compiling sklearn/neighbors/typedefs.pyx because it changed. Compiling sklearn/neighbors/quad_tree.pyx because it changed. Compiling sklearn/tree/_tree.pyx because it changed. Compiling sklearn/tree/_splitter.pyx because it changed. Compiling sklearn/tree/_criterion.pyx because it changed. Compiling sklearn/tree/_utils.pyx because it changed. Compiling sklearn/svm/libsvm.pyx because it changed. Compiling sklearn/svm/liblinear.pyx because it changed. Compiling sklearn/svm/libsvm_sparse.pyx because it changed. Compiling sklearn/_isotonic.pyx because it changed. Compiling sklearn/linear_model/cd_fast.pyx because it changed. Compiling sklearn/linear_model/sgd_fast.pyx because it changed. Compiling sklearn/linear_model/sag_fast.pyx because it changed. Compiling sklearn/utils/sparsefuncs_fast.pyx because it changed. Compiling sklearn/utils/arrayfuncs.pyx because it changed. Compiling sklearn/utils/murmurhash.pyx because it changed. Compiling sklearn/utils/lgamma.pyx because it changed. Compiling sklearn/utils/graph_shortest_path.pyx because it changed. Compiling sklearn/utils/fast_dict.pyx because it changed. Compiling sklearn/utils/seq_dataset.pyx because it changed. Compiling sklearn/utils/weight_vector.pyx because it changed. Compiling sklearn/utils/_random.pyx because it changed. Compiling sklearn/utils/_logistic_sigmoid.pyx because it changed. [ 1/40] Cythonizing sklearn/__check_build/_check_build.pyx [ 2/40] Cythonizing sklearn/_isotonic.pyx [ 3/40] Cythonizing sklearn/cluster/_dbscan_inner.pyx [ 4/40] Cythonizing sklearn/cluster/_hierarchical.pyx [ 5/40] Cythonizing sklearn/cluster/_k_means.pyx [ 6/40] Cythonizing sklearn/cluster/_k_means_elkan.pyx [ 7/40] Cythonizing sklearn/datasets/_svmlight_format.pyx [ 8/40] Cythonizing sklearn/decomposition/_online_lda.pyx [ 9/40] Cythonizing sklearn/decomposition/cdnmf_fast.pyx [10/40] Cythonizing sklearn/ensemble/_gradient_boosting.pyx [11/40] Cythonizing sklearn/feature_extraction/_hashing.pyx [12/40] Cythonizing sklearn/linear_model/cd_fast.pyx [13/40] Cythonizing sklearn/linear_model/sag_fast.pyx [14/40] Cythonizing sklearn/linear_model/sgd_fast.pyx [15/40] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx [16/40] Cythonizing sklearn/manifold/_utils.pyx [17/40] Cythonizing sklearn/metrics/cluster/expected_mutual_info_fast.pyx [18/40] Cythonizing sklearn/metrics/pairwise_fast.pyx [19/40] Cythonizing sklearn/neighbors/ball_tree.pyx [20/40] Cythonizing sklearn/neighbors/dist_metrics.pyx [21/40] Cythonizing sklearn/neighbors/kd_tree.pyx [22/40] Cythonizing sklearn/neighbors/quad_tree.pyx [23/40] Cythonizing sklearn/neighbors/typedefs.pyx [24/40] Cythonizing sklearn/svm/liblinear.pyx [25/40] Cythonizing sklearn/svm/libsvm.pyx [26/40] Cythonizing sklearn/svm/libsvm_sparse.pyx [27/40] Cythonizing sklearn/tree/_criterion.pyx [28/40] Cythonizing sklearn/tree/_splitter.pyx [29/40] Cythonizing sklearn/tree/_tree.pyx [30/40] Cythonizing sklearn/tree/_utils.pyx [31/40] Cythonizing sklearn/utils/_logistic_sigmoid.pyx [32/40] Cythonizing sklearn/utils/_random.pyx [33/40] Cythonizing sklearn/utils/arrayfuncs.pyx [34/40] Cythonizing sklearn/utils/fast_dict.pyx [35/40] Cythonizing sklearn/utils/graph_shortest_path.pyx [36/40] Cythonizing sklearn/utils/lgamma.pyx [37/40] Cythonizing sklearn/utils/murmurhash.pyx [38/40] Cythonizing sklearn/utils/seq_dataset.pyx [39/40] Cythonizing sklearn/utils/sparsefuncs_fast.pyx [40/40] Cythonizing sklearn/utils/weight_vector.pyx running develop running build_scripts running egg_info running build_src build_src building library "libsvm-skl" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means_elkan" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.neighbors.quad_tree" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files creating scikit_learn.egg-info writing scikit_learn.egg-info/PKG-INFO writing dependency_links to scikit_learn.egg-info/dependency_links.txt writing requirements to scikit_learn.egg-info/requires.txt writing top-level names to scikit_learn.egg-info/top_level.txt writing manifest file 'scikit_learn.egg-info/SOURCES.txt' reading manifest file 'scikit_learn.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' writing manifest file 'scikit_learn.egg-info/SOURCES.txt' running build_ext customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC creating build creating build/temp.linux-x86_64-3.4 creating build/temp.linux-x86_64-3.4/sklearn creating build/temp.linux-x86_64-3.4/sklearn/svm creating build/temp.linux-x86_64-3.4/sklearn/svm/src creating build/temp.linux-x86_64-3.4/sklearn/svm/src/libsvm compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/svm/src/libsvm/libsvm_template.cpp ar: adding 1 object files to build/temp.linux-x86_64-3.4/liblibsvm-skl.a customize UnixCCompiler customize UnixCCompiler using build_ext resetting extension 'sklearn.svm.liblinear' language from 'c' to 'c++'. customize UnixCCompiler customize UnixCCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/__check_build compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/__check_build/_check_build.c gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/__check_build/_check_build.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/__check_build/_check_build.cpython-34m.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC creating build/temp.linux-x86_64-3.4/sklearn/cluster compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/cluster/_dbscan_inner.cpp In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:470: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_dbscan_inner.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/cluster/_dbscan_inner.cpython-34m.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/cluster/_hierarchical.cpp In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:468: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_hierarchical.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/cluster/_hierarchical.cpython-34m.so building 'sklearn.cluster._k_means_elkan' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/cluster/_k_means_elkan.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means_elkan.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_k_means_elkan.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/cluster/_k_means_elkan.cpython-34m.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/cluster/_k_means.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:468: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:3610:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:4396:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:5888:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6739:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/cluster/_k_means.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/cluster/_k_means.cpython-34m.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/datasets compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/datasets/_svmlight_format.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:451: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/datasets/_svmlight_format.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/datasets/_svmlight_format.cpython-34m.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/decomposition compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/decomposition/_online_lda.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:454: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/decomposition/_online_lda.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/decomposition/_online_lda.cpython-34m.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/decomposition/cdnmf_fast.c gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/decomposition/cdnmf_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/decomposition/cdnmf_fast.cpython-34m.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/ensemble compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/ensemble/_gradient_boosting.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:450: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/ensemble/_gradient_boosting.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/ensemble/_gradient_boosting.cpython-34m.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/feature_extraction compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/feature_extraction/_hashing.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:454: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/feature_extraction/_hashing.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/feature_extraction/_hashing.cpython-34m.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/manifold compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O3' gcc: sklearn/manifold/_utils.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:458: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/manifold/_utils.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/manifold/_utils.cpython-34m.so building 'sklearn.manifold._barnes_hut_tsne' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O4' gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:469: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.c:3221:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable] float __pyx_v_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3220:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable] float __pyx_v_iQ[1]; ^ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient.isra.29’: sklearn/manifold/_barnes_hut_tsne.c:3122:83: warning: ‘__pyx_v_buff[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax]))); ^ sklearn/manifold/_barnes_hut_tsne.c:2798:9: note: ‘__pyx_v_buff[1]’ was declared here float __pyx_v_buff[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3122:83: warning: ‘__pyx_v_buff[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_pos_f[__pyx_t_20]) = ((__pyx_v_pos_f[__pyx_t_20]) + (__pyx_v_dij * (__pyx_v_buff[__pyx_v_ax]))); ^ sklearn/manifold/_barnes_hut_tsne.c:2798:9: note: ‘__pyx_v_buff[0]’ was declared here float __pyx_v_buff[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3654:74: warning: ‘__pyx_v_neg_force[2]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:3222:9: note: ‘__pyx_v_neg_force[2]’ was declared here float __pyx_v_neg_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3654:74: warning: ‘__pyx_v_neg_force[1]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:3222:9: note: ‘__pyx_v_neg_force[1]’ was declared here float __pyx_v_neg_force[3]; ^ sklearn/manifold/_barnes_hut_tsne.c:3654:74: warning: ‘__pyx_v_neg_force[0]’ may be used uninitialized in this function [-Wmaybe-uninitialized] (__pyx_v_neg_f[((__pyx_v_i * __pyx_v_n_dimensions) + __pyx_v_ax)]) = (__pyx_v_neg_force[__pyx_v_ax]); ^ sklearn/manifold/_barnes_hut_tsne.c:3222:9: note: ‘__pyx_v_neg_force[0]’ was declared here float __pyx_v_neg_force[3]; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/manifold/_barnes_hut_tsne.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lpython3.4m -o sklearn/manifold/_barnes_hut_tsne.cpython-34m.so building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/metrics creating build/temp.linux-x86_64-3.4/sklearn/metrics/cluster compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:454: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/metrics/cluster/expected_mutual_info_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/metrics/cluster/expected_mutual_info_fast.cpython-34m.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/metrics/pairwise_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:467: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/metrics/pairwise_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/metrics/pairwise_fast.cpython-34m.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/neighbors compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/neighbors/ball_tree.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_depthfirst’: sklearn/neighbors/ball_tree.c:20902:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 2374, __pyx_L1_error) ^ sklearn/neighbors/ball_tree.c:20579:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ sklearn/neighbors/ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9ball_tree_10BinaryTree__kde_single_breadthfirst’: sklearn/neighbors/ball_tree.c:23549:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); ^ sklearn/neighbors/ball_tree.c:19705:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/ball_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/ball_tree.cpython-34m.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/neighbors/kd_tree.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst’: sklearn/neighbors/kd_tree.c:20873:63: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_12 = PyFloat_FromDouble((__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 2374, __pyx_L1_error) ^ sklearn/neighbors/kd_tree.c:20550:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_breadthfirst’: sklearn/neighbors/kd_tree.c:23520:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); ^ sklearn/neighbors/kd_tree.c:19676:50: note: ‘__pyx_v_sample_weight’ was declared here __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_sample_weight; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/kd_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/kd_tree.cpython-34m.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/neighbors/dist_metrics.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:454: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6712:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 463, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:6517:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7523:93: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 552, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:7444:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:8223:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 611, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:8038:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ���__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:9081:95: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [enabled by default] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 684, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:8841:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/dist_metrics.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/dist_metrics.cpython-34m.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/neighbors/typedefs.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/typedefs.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/typedefs.cpython-34m.so building 'sklearn.neighbors.quad_tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/neighbors/quad_tree.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/quad_tree.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/quad_tree.c:2710:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */ ^ sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’: sklearn/neighbors/quad_tree.c:6994:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error) ^ sklearn/neighbors/quad_tree.c:6994:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’ sklearn/neighbors/quad_tree.c: At top level: sklearn/neighbors/quad_tree.c:7419:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() { ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/neighbors/quad_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/neighbors/quad_tree.cpython-34m.so building 'sklearn.tree._tree' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/tree compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O3' gcc: sklearn/tree/_tree.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:456: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:14116:3: warning: passing argument 1 of ‘(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, struct PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [enabled by default] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error) ^ sklearn/tree/_tree.c:14116:3: note: expected ‘struct PyTypeObject *’ but argument is of type ‘struct PyObject *’ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build’: sklearn/tree/_tree.c:5361:13: warning: ���__pyx_v_split_node_right.improvement’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.improvement’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity_right’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity_right’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity_left’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity_left’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.impurity’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.impurity’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.is_leaf’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.is_leaf’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.depth’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.depth’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.pos’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.pos’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.end’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.end’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.start’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.start’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_right.node_id’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5653:60: note: ‘__pyx_v_split_node_right.node_id’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_right; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.node_id’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.node_id’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.end’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.end’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.pos’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.pos’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.is_leaf’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.is_leaf’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity_left’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity_left’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.impurity_right’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.impurity_right’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ sklearn/tree/_tree.c:5361:13: warning: ‘__pyx_v_split_node_left.improvement’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->push(__pyx_v_frontier, __pyx_v_rec->node_id, __pyx_v_rec->start, __pyx_v_rec->end, __pyx_v_rec->pos, __pyx_v_rec->depth, __pyx_v_rec->is_leaf, __pyx_v_rec->improvement, __pyx_v_rec->impurity, __pyx_v_rec->impurity_left, __pyx_v_rec->impurity_right); if (unlikely(__pyx_t_1 == -1)) __PYX_ERR(0, 290, __pyx_L1_error) ^ sklearn/tree/_tree.c:5652:60: note: ‘__pyx_v_split_node_left.improvement’ was declared here struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord __pyx_v_split_node_left; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_tree.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_tree.cpython-34m.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O3' gcc: sklearn/tree/_splitter.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:456: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_splitter.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_splitter.cpython-34m.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O3' gcc: sklearn/tree/_criterion.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:456: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_criterion.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_criterion.cpython-34m.so building 'sklearn.tree._utils' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' extra options: '-O3' gcc: sklearn/tree/_utils.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:456: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’: sklearn/tree/_utils.c:8755:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ^ sklearn/tree/_utils.c:8707:43: note: ‘__pyx_v_original_median’ was declared here __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median; ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop’: sklearn/tree/_utils.c:8867:142: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median); ^ sklearn/tree/_utils.c:8790:10: note: ‘__pyx_v_original_median’ was declared here double __pyx_v_original_median; ^ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push’: sklearn/tree/_utils.c:8399:140: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ^ sklearn/tree/_utils.c:8349:43: note: ‘__pyx_v_original_median’ was declared here __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t __pyx_v_original_median; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/tree/_utils.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/tree/_utils.cpython-34m.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/svm/libsvm.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:458: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/libsvm.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -llibsvm-skl -lpython3.4m -o sklearn/svm/libsvm.cpython-34m.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/svm/liblinear.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:469: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from sklearn/svm/liblinear.c:472:0: sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [enabled by default] problem->sample_weight = sample_weight; ^ sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘csr_set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [enabled by default] problem->sample_weight = sample_weight; ^ compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC creating build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/svm/src/liblinear/tron.cpp g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/liblinear.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/tron.o build/temp.linux-x86_64-3.4/sklearn/svm/src/liblinear/linear.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/svm/liblinear.cpython-34m.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/svm/libsvm_sparse.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:456: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/svm/libsvm_sparse.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -llibsvm-skl -lpython3.4m -o sklearn/svm/libsvm_sparse.cpython-34m.so building 'sklearn._isotonic' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/_isotonic.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/_isotonic.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/_isotonic.cpython-34m.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/linear_model compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/linear_model/cd_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:468: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:4711:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c:4720:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:4729:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:4738:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:4747:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:6094:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_dgemv; ^ sklearn/linear_model/cd_fast.c:6103:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:6112:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:6121:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:6130:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:8275:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:8284:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:10215:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:10224:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:12655:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:12664:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:12673:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:14158:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:14167:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:14176:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:16272:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:16281:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_nrm2 = cblas_snrm2; ^ sklearn/linear_model/cd_fast.c:16290:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:16299:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c:16317:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_ger = cblas_sger; ^ sklearn/linear_model/cd_fast.c:16326:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:17979:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:17988:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_nrm2 = cblas_dnrm2; ^ sklearn/linear_model/cd_fast.c:17997:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:18006:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c:18024:15: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_ger = cblas_dger; ^ sklearn/linear_model/cd_fast.c:18033:16: warning: assignment from incompatible pointer type [enabled by default] __pyx_v_gemv = cblas_dgemv; ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/cd_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/linear_model/cd_fast.cpython-34m.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/linear_model/sgd_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:469: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/sgd_fast.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/linear_model/sgd_fast.cpython-34m.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/linear_model/sag_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:451: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/linear_model/sag_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/linear_model/sag_fast.cpython-34m.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-x86_64-3.4/sklearn/utils compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/sparsefuncs_fast.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:448: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/sparsefuncs_fast.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/sparsefuncs_fast.cpython-34m.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/arrayfuncs.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:467: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/arrayfuncs.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/utils/arrayfuncs.cpython-34m.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/murmurhash.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:449: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC creating build/temp.linux-x86_64-3.4/sklearn/utils/src compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/utils/src/MurmurHash3.cpp /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/murmurhash.o build/temp.linux-x86_64-3.4/sklearn/utils/src/MurmurHash3.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/murmurhash.cpython-34m.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/src/gamma.c gcc: sklearn/utils/lgamma.c gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/lgamma.o build/temp.linux-x86_64-3.4/sklearn/utils/src/gamma.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/lgamma.cpython-34m.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/graph_shortest_path.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:450: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/graph_shortest_path.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/graph_shortest_path.cpython-34m.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: /usr/lib/ccache/g++ -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' g++: sklearn/utils/fast_dict.cpp In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:474: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:22206:48: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long) value); ^ sklearn/utils/fast_dict.cpp:3836:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^ /usr/lib/ccache/g++ -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/fast_dict.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/fast_dict.cpython-34m.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/seq_dataset.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:450: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/seq_dataset.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lpython3.4m -o sklearn/utils/seq_dataset.cpython-34m.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-DHAVE_CBLAS -Isklearn/src/cblas -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/weight_vector.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:467: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/weight_vector.o -L/home/travis/miniconda/envs/testenv/lib -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lopenblas -lopenblas -lm -lpython3.4m -o sklearn/utils/weight_vector.cpython-34m.so building 'sklearn.utils._random' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/_random.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:453: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/_random.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/_random.cpython-34m.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: /usr/lib/ccache/gcc -Wno-unused-result -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC compile options: '-I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include -I/home/travis/miniconda/envs/testenv/include/python3.4m -I/home/travis/miniconda/envs/testenv/include/python3.4m -c' gcc: sklearn/utils/_logistic_sigmoid.c In file included from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:454: /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ gcc -pthread -shared -L/home/travis/miniconda/envs/testenv/lib -Wl,-rpath=/home/travis/miniconda/envs/testenv/lib,--no-as-needed build/temp.linux-x86_64-3.4/sklearn/utils/_logistic_sigmoid.o -L/home/travis/miniconda/envs/testenv/lib -Lbuild/temp.linux-x86_64-3.4 -lm -lpython3.4m -o sklearn/utils/_logistic_sigmoid.cpython-34m.so Creating /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/scikit-learn.egg-link (link to .) Adding scikit-learn 0.20.4 to easy-install.pth file Installed /home/travis/build/scikit-learn/scikit-learn Processing dependencies for scikit-learn==0.20.4 Searching for scipy==0.17.1 Best match: scipy 0.17.1 Adding scipy 0.17.1 to easy-install.pth file Using /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages Searching for numpy==1.10.4 Best match: numpy 1.10.4 Adding numpy 1.10.4 to easy-install.pth file Using /home/travis/miniconda/envs/testenv/lib/python3.4/site-packages Finished processing dependencies for scikit-learn==0.20.4 +++ccache --show-stats cache directory /home/travis/.ccache cache hit (direct) 0 cache hit (preprocessed) 0 cache miss 45 called for link 7 files in cache 90 cache size 39.3 Mbytes max cache size 100.0 Mbytes +result=0 +[[ -n '' ]] +[[ -n true ]] +travis_time_finish +local result=0 +local travis_timer_end_time ++travis_nanoseconds ++local cmd=date ++local format=+%s%N ++hash gdate ++[[ linux == osx ]] ++date -u +%s%N +travis_timer_end_time=1563868300951411128 +local duration +duration=265782435263 +echo -en 'travis_time:end:012630b4:start=1563868035168975865,finish=1563868300951411128,duration=265782435263\r\033[0K' travis_time:end:012630b4:start=1563868035168975865,finish=1563868300951411128,duration=265782435263 +return 0 +[[ -n true ]] +travis_assert 0 +local result=0 +[[ 0 -ne 0 ]] +return 0 +travis_fold end install +local action=end +local name=install +echo -en 'travis_fold:end:install\r\033[0K' travis_fold:end:install +: +travis_run_before_script +: +travis_run_script +travis_cmd 'bash build_tools/travis/test_script.sh' --echo --timing +local assert output display retry timing cmd result secure +cmd='bash build_tools/travis/test_script.sh' +export 'TRAVIS_CMD=bash build_tools/travis/test_script.sh' +TRAVIS_CMD='bash build_tools/travis/test_script.sh' +shift +true +case "${1}" in +output=true +shift +true +case "${1}" in +timing=true +shift +true +case "${1}" in +break +[[ -n true ]] +travis_time_start ++printf %08x 20913115 +TRAVIS_TIMER_ID=013f1bdb ++travis_nanoseconds ++local cmd=date ++local format=+%s%N ++hash gdate ++[[ linux == osx ]] ++date -u +%s%N +TRAVIS_TIMER_START_TIME=1563868300960188505 +export TRAVIS_TIMER_ID TRAVIS_TIMER_START_TIME +echo -en 'travis_time:start:013f1bdb\r\033[0K' travis_time:start:013f1bdb +[[ -n true ]] +echo '$ bash build_tools/travis/test_script.sh' $ bash build_tools/travis/test_script.sh +[[ -n '' ]] +[[ -n '' ]] +eval 'bash build_tools/travis/test_script.sh ' ++bash build_tools/travis/test_script.sh Python 3.4.5 numpy 1.10.4 scipy 0.17.1 2 CPUs +pytest --showlocals --durations=20 --pyargs --cov sklearn sklearn Traceback (most recent call last): File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 397, in load_setuptools_entrypoints plugin = ep.load() File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 2290, in load self.require(*args, **kwargs) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 2307, in require items = working_set.resolve(reqs, env, installer) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pkg_resources/__init__.py", line 854, in resolve raise VersionConflict(dist, req).with_context(dependent_req) pkg_resources.VersionConflict: (pytest 3.5.0 (/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages), Requirement.parse('pytest>=3.6')) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/travis/miniconda/envs/testenv/bin/pytest", line 11, in <module> sys.exit(main()) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 52, in main config = _prepareconfig(args, plugins) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 163, in _prepareconfig pluginmanager=pluginmanager, args=args) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 617, in __call__ return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 222, in _hookexec return self._inner_hookexec(hook, methods, kwargs) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 216, in <lambda> firstresult=hook.spec_opts.get('firstresult'), File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 196, in _multicall gen.send(outcome) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/helpconfig.py", line 68, in pytest_cmdline_parse config = outcome.get_result() File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 76, in get_result raise ex[1].with_traceback(ex[2]) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/callers.py", line 180, in _multicall res = hook_impl.function(*args) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 936, in pytest_cmdline_parse self.parse(args) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 1086, in parse self._preparse(args, addopts=addopts) File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/_pytest/config.py", line 1048, in _preparse self.pluginmanager.load_setuptools_entrypoints('pytest11') File "/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages/pluggy/__init__.py", line 402, in load_setuptools_entrypoints "Plugin %r could not be loaded: %s!" % (ep.name, e)) pluggy.PluginValidationError: Plugin 'pytest_cov' could not be loaded: (pytest 3.5.0 (/home/travis/miniconda/envs/testenv/lib/python3.4/site-packages), Requirement.parse('pytest>=3.6'))! |