I: pbuilder: network access will be disabled during build I: Current time: Sat Jun 15 10:11:41 +14 2024 I: pbuilder-time-stamp: 1718395901 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bookworm-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [mir-eval_0.7-3.dsc] I: copying [./mir-eval_0.7.orig.tar.gz] I: copying [./mir-eval_0.7-3.debian.tar.xz] I: Extracting source gpgv: Signature made Wed Jan 18 02:28:27 2023 +14 gpgv: using RSA key 406220C8B8552802378CCE411F5C7A8B45564314 gpgv: issuer "bage@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./mir-eval_0.7-3.dsc: no acceptable signature found dpkg-source: info: extracting mir-eval in mir-eval-0.7 dpkg-source: info: unpacking mir-eval_0.7.orig.tar.gz dpkg-source: info: unpacking mir-eval_0.7-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 001.reduce-tolerance.patch dpkg-source: info: applying 002.workaround-removed-mathplotlib-imports.patch dpkg-source: info: applying 003.allow-more-test_chord-warnings.patch dpkg-source: info: applying 004.fix-name-attibute.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/D01_modify_environment starting debug: Running on ionos15-amd64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash '/bin/sh' -> '/bin/bash' lrwxrwxrwx 1 root root 9 Jun 15 10:12 /bin/sh -> /bin/bash I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:globskipdots:hostcomplete:interactive_comments:patsub_replacement:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_LOADABLES_PATH=/usr/local/lib/bash:/usr/lib/bash:/opt/local/lib/bash:/usr/pkg/lib/bash:/opt/pkg/lib/bash:. BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="2" [2]="15" [3]="1" [4]="release" [5]="x86_64-pc-linux-gnu") BASH_VERSION='5.2.15(1)-release' BUILDDIR=/build BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=amd64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=16' DIRSTACK=() DISTRIBUTION=bookworm EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=x86_64 HOST_ARCH=amd64 IFS=' ' INVOCATION_ID=e70aeab8aeeb4f17b74aeb075f94484f LANG=C LANGUAGE=et_EE:et LC_ALL=C MACHTYPE=x86_64-pc-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=2239657 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.jCtNFxEc/pbuilderrc_fEfX --distribution bookworm --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bookworm-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.jCtNFxEc/b2 --logfile b2/build.log --extrapackages usrmerge mir-eval_0.7-3.dsc' SUDO_GID=111 SUDO_UID=106 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://85.184.249.68:3128 I: uname -a Linux i-capture-the-hostname 6.1.0-0.deb11.6-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.15-1~bpo11+1 (2023-03-16) x86_64 GNU/Linux I: ls -l /bin total 5632 -rwxr-xr-x 1 root root 1265648 Apr 24 2023 bash -rwxr-xr-x 3 root root 39224 Sep 19 2022 bunzip2 -rwxr-xr-x 3 root root 39224 Sep 19 2022 bzcat lrwxrwxrwx 1 root root 6 Sep 19 2022 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2225 Sep 19 2022 bzdiff lrwxrwxrwx 1 root root 6 Sep 19 2022 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4893 Nov 28 2021 bzexe lrwxrwxrwx 1 root root 6 Sep 19 2022 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3775 Sep 19 2022 bzgrep -rwxr-xr-x 3 root root 39224 Sep 19 2022 bzip2 -rwxr-xr-x 1 root root 14568 Sep 19 2022 bzip2recover lrwxrwxrwx 1 root root 6 Sep 19 2022 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Sep 19 2022 bzmore -rwxr-xr-x 1 root root 44016 Sep 21 2022 cat -rwxr-xr-x 1 root root 68656 Sep 21 2022 chgrp -rwxr-xr-x 1 root root 64496 Sep 21 2022 chmod -rwxr-xr-x 1 root root 72752 Sep 21 2022 chown -rwxr-xr-x 1 root root 151152 Sep 21 2022 cp -rwxr-xr-x 1 root root 125640 Jan 6 2023 dash -rwxr-xr-x 1 root root 121904 Sep 21 2022 date -rwxr-xr-x 1 root root 89240 Sep 21 2022 dd -rwxr-xr-x 1 root root 102200 Sep 21 2022 df -rwxr-xr-x 1 root root 151344 Sep 21 2022 dir -rwxr-xr-x 1 root root 88656 Mar 24 2023 dmesg lrwxrwxrwx 1 root root 8 Dec 20 2022 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Dec 20 2022 domainname -> hostname -rwxr-xr-x 1 root root 43856 Sep 21 2022 echo -rwxr-xr-x 1 root root 41 Jan 25 2023 egrep -rwxr-xr-x 1 root root 35664 Sep 21 2022 false -rwxr-xr-x 1 root root 41 Jan 25 2023 fgrep -rwxr-xr-x 1 root root 85600 Mar 24 2023 findmnt -rwsr-xr-x 1 root root 35128 Mar 23 2023 fusermount -rwxr-xr-x 1 root root 203152 Jan 25 2023 grep -rwxr-xr-x 2 root root 2346 Apr 10 2022 gunzip -rwxr-xr-x 1 root root 6447 Apr 10 2022 gzexe -rwxr-xr-x 1 root root 98136 Apr 10 2022 gzip -rwxr-xr-x 1 root root 22680 Dec 20 2022 hostname -rwxr-xr-x 1 root root 72824 Sep 21 2022 ln -rwxr-xr-x 1 root root 53024 Mar 24 2023 login -rwxr-xr-x 1 root root 151344 Sep 21 2022 ls -rwxr-xr-x 1 root root 207168 Mar 24 2023 lsblk -rwxr-xr-x 1 root root 97552 Sep 21 2022 mkdir -rwxr-xr-x 1 root root 72912 Sep 21 2022 mknod -rwxr-xr-x 1 root root 43952 Sep 21 2022 mktemp -rwxr-xr-x 1 root root 59712 Mar 24 2023 more -rwsr-xr-x 1 root root 59704 Mar 24 2023 mount -rwxr-xr-x 1 root root 18744 Mar 24 2023 mountpoint -rwxr-xr-x 1 root root 142968 Sep 21 2022 mv lrwxrwxrwx 1 root root 8 Dec 20 2022 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Apr 3 2023 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 43952 Sep 21 2022 pwd lrwxrwxrwx 1 root root 4 Apr 24 2023 rbash -> bash -rwxr-xr-x 1 root root 52112 Sep 21 2022 readlink -rwxr-xr-x 1 root root 72752 Sep 21 2022 rm -rwxr-xr-x 1 root root 56240 Sep 21 2022 rmdir -rwxr-xr-x 1 root root 27560 Nov 3 2022 run-parts -rwxr-xr-x 1 root root 126424 Jan 6 2023 sed lrwxrwxrwx 1 root root 9 Jun 15 10:12 sh -> /bin/bash -rwxr-xr-x 1 root root 43888 Sep 21 2022 sleep -rwxr-xr-x 1 root root 85008 Sep 21 2022 stty -rwsr-xr-x 1 root root 72000 Mar 24 2023 su -rwxr-xr-x 1 root root 39824 Sep 21 2022 sync -rwxr-xr-x 1 root root 531984 Apr 7 2023 tar -rwxr-xr-x 1 root root 14520 Nov 3 2022 tempfile -rwxr-xr-x 1 root root 109616 Sep 21 2022 touch -rwxr-xr-x 1 root root 35664 Sep 21 2022 true -rwxr-xr-x 1 root root 14568 Mar 23 2023 ulockmgr_server -rwsr-xr-x 1 root root 35128 Mar 24 2023 umount -rwxr-xr-x 1 root root 43888 Sep 21 2022 uname -rwxr-xr-x 2 root root 2346 Apr 10 2022 uncompress -rwxr-xr-x 1 root root 151344 Sep 21 2022 vdir -rwxr-xr-x 1 root root 72024 Mar 24 2023 wdctl lrwxrwxrwx 1 root root 8 Dec 20 2022 ypdomainname -> hostname -rwxr-xr-x 1 root root 1984 Apr 10 2022 zcat -rwxr-xr-x 1 root root 1678 Apr 10 2022 zcmp -rwxr-xr-x 1 root root 6460 Apr 10 2022 zdiff -rwxr-xr-x 1 root root 29 Apr 10 2022 zegrep -rwxr-xr-x 1 root root 29 Apr 10 2022 zfgrep -rwxr-xr-x 1 root root 2081 Apr 10 2022 zforce -rwxr-xr-x 1 root root 8103 Apr 10 2022 zgrep -rwxr-xr-x 1 root root 2206 Apr 10 2022 zless -rwxr-xr-x 1 root root 1842 Apr 10 2022 zmore -rwxr-xr-x 1 root root 4577 Apr 10 2022 znew I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-python, python3-all, python3-future, python3-matplotlib, python3-nose, python3-numpy, python3-scipy, python3-setuptools, python3-six, python3-sphinx, python3-numpydoc dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19596 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on python3-all; however: Package python3-all is not installed. pbuilder-satisfydepends-dummy depends on python3-future; however: Package python3-future is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx; however: Package python3-sphinx is not installed. pbuilder-satisfydepends-dummy depends on python3-numpydoc; however: Package python3-numpydoc is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} blt{a} bsdextrautils{a} ca-certificates{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} docutils-common{a} dwz{a} file{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lyx{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} libarchive-zip-perl{a} libblas3{a} libboost-dev{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libdebhelper-perl{a} libdeflate0{a} libelf1{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgfortran5{a} libglib2.0-0{a} libgraphite2-3{a} libharfbuzz0b{a} libicu72{a} libimagequant0{a} libjbig0{a} libjpeg62-turbo{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-perl{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} liblerc4{a} libmagic-mgc{a} libmagic1{a} libopenblas-dev{a} libopenblas-pthread-dev{a} libopenblas0{a} libopenblas0-pthread{a} libopenjp2-7{a} libpipeline1{a} libpng16-16{a} libpython3-all-dev{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.11{a} libpython3.11-dev{a} libpython3.11-minimal{a} libpython3.11-stdlib{a} libqhull-r8.0{a} libraqm0{a} libreadline8{a} libsub-override-perl{a} libtcl8.6{a} libtiff6{a} libtk8.6{a} libtool{a} libuchardet0{a} libwebp7{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libxau6{a} libxcb1{a} libxdmcp6{a} libxext6{a} libxft2{a} libxml2{a} libxrender1{a} libxsimd-dev{a} libxslt1.1{a} libxss1{a} m4{a} man-db{a} media-types{a} openssl{a} po-debconf{a} python-babel-localedata{a} python-matplotlib-data{a} python3{a} python3-alabaster{a} python3-all{a} python3-all-dev{a} python3-appdirs{a} python3-attr{a} python3-babel{a} python3-beniget{a} python3-brotli{a} python3-certifi{a} python3-chardet{a} python3-charset-normalizer{a} python3-contourpy{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-docutils{a} python3-fonttools{a} python3-fs{a} python3-future{a} python3-gast{a} python3-idna{a} python3-imagesize{a} python3-jinja2{a} python3-kiwisolver{a} python3-lib2to3{a} python3-lxml{a} python3-lz4{a} python3-markupsafe{a} python3-matplotlib{a} python3-minimal{a} python3-mpmath{a} python3-nose{a} python3-numpy{a} python3-numpydoc{a} python3-packaging{a} python3-pil{a} python3-pil.imagetk{a} python3-pkg-resources{a} python3-ply{a} python3-pygments{a} python3-pyparsing{a} python3-pythran{a} python3-requests{a} python3-roman{a} python3-scipy{a} python3-setuptools{a} python3-six{a} python3-snowballstemmer{a} python3-sphinx{a} python3-sympy{a} python3-tk{a} python3-tz{a} python3-ufolib2{a} python3-urllib3{a} python3.11{a} python3.11-dev{a} python3.11-minimal{a} readline-common{a} sensible-utils{a} sgml-base{a} sphinx-common{a} tk8.6-blt2.5{a} unicode-data{a} x11-common{a} xml-core{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: curl isympy-common javascript-common libarchive-cpio-perl libglib2.0-data libjson-xs-perl libltdl-dev libmail-sendmail-perl libpaper-utils lynx python3-bs4 python3-html5lib python3-olefile shared-mime-info wget xdg-user-dirs 0 packages upgraded, 169 newly installed, 0 to remove and 0 not upgraded. Need to get 131 MB of archives. After unpacking 700 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian bookworm/main amd64 libpython3.11-minimal amd64 3.11.2-6 [813 kB] Get: 2 http://deb.debian.org/debian bookworm/main amd64 libexpat1 amd64 2.5.0-1 [99.3 kB] Get: 3 http://deb.debian.org/debian bookworm/main amd64 python3.11-minimal amd64 3.11.2-6 [2064 kB] Get: 4 http://deb.debian.org/debian bookworm/main amd64 python3-minimal amd64 3.11.2-1+b1 [26.3 kB] Get: 5 http://deb.debian.org/debian bookworm/main amd64 media-types all 10.0.0 [26.1 kB] Get: 6 http://deb.debian.org/debian bookworm/main amd64 readline-common all 8.2-1.3 [69.0 kB] Get: 7 http://deb.debian.org/debian bookworm/main amd64 libreadline8 amd64 8.2-1.3 [166 kB] Get: 8 http://deb.debian.org/debian bookworm/main amd64 libpython3.11-stdlib amd64 3.11.2-6 [1796 kB] Get: 9 http://deb.debian.org/debian bookworm/main amd64 python3.11 amd64 3.11.2-6 [572 kB] Get: 10 http://deb.debian.org/debian bookworm/main amd64 libpython3-stdlib amd64 3.11.2-1+b1 [9312 B] Get: 11 http://deb.debian.org/debian bookworm/main amd64 python3 amd64 3.11.2-1+b1 [26.3 kB] Get: 12 http://deb.debian.org/debian bookworm/main amd64 sgml-base all 1.31 [15.4 kB] Get: 13 http://deb.debian.org/debian bookworm/main amd64 sensible-utils all 0.0.17+nmu1 [19.0 kB] Get: 14 http://deb.debian.org/debian bookworm/main amd64 openssl amd64 3.0.8-1 [1407 kB] Get: 15 http://deb.debian.org/debian bookworm/main amd64 ca-certificates all 20230311 [153 kB] Get: 16 http://deb.debian.org/debian bookworm/main amd64 libmagic-mgc amd64 1:5.44-3 [305 kB] Get: 17 http://deb.debian.org/debian bookworm/main amd64 libmagic1 amd64 1:5.44-3 [104 kB] Get: 18 http://deb.debian.org/debian bookworm/main amd64 file amd64 1:5.44-3 [42.5 kB] Get: 19 http://deb.debian.org/debian bookworm/main amd64 gettext-base amd64 0.21-12 [160 kB] Get: 20 http://deb.debian.org/debian bookworm/main amd64 libuchardet0 amd64 0.0.7-1 [67.8 kB] Get: 21 http://deb.debian.org/debian bookworm/main amd64 groff-base amd64 1.22.4-10 [916 kB] Get: 22 http://deb.debian.org/debian bookworm/main amd64 bsdextrautils amd64 2.38.1-5+b1 [86.6 kB] Get: 23 http://deb.debian.org/debian bookworm/main amd64 libpipeline1 amd64 1.5.7-1 [38.5 kB] Get: 24 http://deb.debian.org/debian bookworm/main amd64 man-db amd64 2.11.2-2 [1386 kB] Get: 25 http://deb.debian.org/debian bookworm/main amd64 m4 amd64 1.4.19-3 [287 kB] Get: 26 http://deb.debian.org/debian bookworm/main amd64 autoconf all 2.71-3 [332 kB] Get: 27 http://deb.debian.org/debian bookworm/main amd64 autotools-dev all 20220109.1 [51.6 kB] Get: 28 http://deb.debian.org/debian bookworm/main amd64 automake all 1:1.16.5-1.3 [823 kB] Get: 29 http://deb.debian.org/debian bookworm/main amd64 autopoint all 0.21-12 [495 kB] Get: 30 http://deb.debian.org/debian bookworm/main amd64 libtcl8.6 amd64 8.6.13+dfsg-2 [1035 kB] Get: 31 http://deb.debian.org/debian bookworm/main amd64 libbrotli1 amd64 1.0.9-2+b6 [275 kB] Get: 32 http://deb.debian.org/debian bookworm/main amd64 libpng16-16 amd64 1.6.39-2 [276 kB] Get: 33 http://deb.debian.org/debian bookworm/main amd64 libfreetype6 amd64 2.12.1+dfsg-5 [399 kB] Get: 34 http://deb.debian.org/debian bookworm/main amd64 fonts-dejavu-core all 2.37-6 [1068 kB] Get: 35 http://deb.debian.org/debian bookworm/main amd64 fontconfig-config amd64 2.14.1-4 [315 kB] Get: 36 http://deb.debian.org/debian bookworm/main amd64 libfontconfig1 amd64 2.14.1-4 [386 kB] Get: 37 http://deb.debian.org/debian bookworm/main amd64 libxau6 amd64 1:1.0.9-1 [19.7 kB] Get: 38 http://deb.debian.org/debian bookworm/main amd64 libbsd0 amd64 0.11.7-2 [117 kB] Get: 39 http://deb.debian.org/debian bookworm/main amd64 libxdmcp6 amd64 1:1.1.2-3 [26.3 kB] Get: 40 http://deb.debian.org/debian bookworm/main amd64 libxcb1 amd64 1.15-1 [144 kB] Get: 41 http://deb.debian.org/debian bookworm/main amd64 libx11-data all 2:1.8.4-2 [292 kB] Get: 42 http://deb.debian.org/debian bookworm/main amd64 libx11-6 amd64 2:1.8.4-2 [759 kB] Get: 43 http://deb.debian.org/debian bookworm/main amd64 libxrender1 amd64 1:0.9.10-1.1 [33.2 kB] Get: 44 http://deb.debian.org/debian bookworm/main amd64 libxft2 amd64 2.3.6-1 [61.8 kB] Get: 45 http://deb.debian.org/debian bookworm/main amd64 libxext6 amd64 2:1.3.4-1+b1 [52.9 kB] Get: 46 http://deb.debian.org/debian bookworm/main amd64 x11-common all 1:7.7+23 [252 kB] Get: 47 http://deb.debian.org/debian bookworm/main amd64 libxss1 amd64 1:1.2.3-1 [17.8 kB] Get: 48 http://deb.debian.org/debian bookworm/main amd64 libtk8.6 amd64 8.6.13-2 [781 kB] Get: 49 http://deb.debian.org/debian bookworm/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-4.1 [593 kB] Get: 50 http://deb.debian.org/debian bookworm/main amd64 blt amd64 2.5.3+dfsg-4.1 [14.9 kB] Get: 51 http://deb.debian.org/debian bookworm/main amd64 libdebhelper-perl all 13.11.4 [81.2 kB] Get: 52 http://deb.debian.org/debian bookworm/main amd64 libtool all 2.4.7-5 [517 kB] Get: 53 http://deb.debian.org/debian bookworm/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 54 http://deb.debian.org/debian bookworm/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 55 http://deb.debian.org/debian bookworm/main amd64 libsub-override-perl all 0.09-4 [9304 B] Get: 56 http://deb.debian.org/debian bookworm/main amd64 libfile-stripnondeterminism-perl all 1.13.1-1 [19.4 kB] Get: 57 http://deb.debian.org/debian bookworm/main amd64 dh-strip-nondeterminism all 1.13.1-1 [8620 B] Get: 58 http://deb.debian.org/debian bookworm/main amd64 libelf1 amd64 0.188-2.1 [174 kB] Get: 59 http://deb.debian.org/debian bookworm/main amd64 dwz amd64 0.15-1 [109 kB] Get: 60 http://deb.debian.org/debian bookworm/main amd64 libicu72 amd64 72.1-3 [9376 kB] Get: 61 http://deb.debian.org/debian bookworm/main amd64 libxml2 amd64 2.9.14+dfsg-1.2 [687 kB] Get: 62 http://deb.debian.org/debian bookworm/main amd64 gettext amd64 0.21-12 [1300 kB] Get: 63 http://deb.debian.org/debian bookworm/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 64 http://deb.debian.org/debian bookworm/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 65 http://deb.debian.org/debian bookworm/main amd64 debhelper all 13.11.4 [942 kB] Get: 66 http://deb.debian.org/debian bookworm/main amd64 python3-lib2to3 all 3.11.2-3 [76.3 kB] Get: 67 http://deb.debian.org/debian bookworm/main amd64 python3-distutils all 3.11.2-3 [131 kB] Get: 68 http://deb.debian.org/debian bookworm/main amd64 dh-python all 5.20230130 [104 kB] Get: 69 http://deb.debian.org/debian bookworm/main amd64 xml-core all 0.18+nmu1 [23.8 kB] Get: 70 http://deb.debian.org/debian bookworm/main amd64 docutils-common all 0.19+dfsg-6 [127 kB] Get: 71 http://deb.debian.org/debian bookworm/main amd64 fonts-lyx all 2.3.7-1 [186 kB] Get: 72 http://deb.debian.org/debian bookworm/main amd64 libblas3 amd64 3.11.0-2 [149 kB] Get: 73 http://deb.debian.org/debian bookworm/main amd64 libboost1.74-dev amd64 1.74.0+ds1-20 [9510 kB] Get: 74 http://deb.debian.org/debian bookworm/main amd64 libboost-dev amd64 1.74.0.3 [4548 B] Get: 75 http://deb.debian.org/debian bookworm/main amd64 libdeflate0 amd64 1.14-1 [61.4 kB] Get: 76 http://deb.debian.org/debian bookworm/main amd64 libexpat1-dev amd64 2.5.0-1 [150 kB] Get: 77 http://deb.debian.org/debian bookworm/main amd64 libfribidi0 amd64 1.0.8-2.1 [65.0 kB] Get: 78 http://deb.debian.org/debian bookworm/main amd64 libgfortran5 amd64 12.2.0-14 [793 kB] Get: 79 http://deb.debian.org/debian bookworm/main amd64 libglib2.0-0 amd64 2.74.6-2 [1398 kB] Get: 80 http://deb.debian.org/debian bookworm/main amd64 libgraphite2-3 amd64 1.3.14-1 [81.2 kB] Get: 81 http://deb.debian.org/debian bookworm/main amd64 libharfbuzz0b amd64 6.0.0+dfsg-3 [1945 kB] Get: 82 http://deb.debian.org/debian bookworm/main amd64 libimagequant0 amd64 2.17.0-1 [32.5 kB] Get: 83 http://deb.debian.org/debian bookworm/main amd64 libjbig0 amd64 2.1-6.1 [31.7 kB] Get: 84 http://deb.debian.org/debian bookworm/main amd64 libjpeg62-turbo amd64 1:2.1.5-2 [166 kB] Get: 85 http://deb.debian.org/debian bookworm/main amd64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB] Get: 86 http://deb.debian.org/debian bookworm/main amd64 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB] Get: 87 http://deb.debian.org/debian bookworm/main amd64 libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB] Get: 88 http://deb.debian.org/debian bookworm/main amd64 libjs-sphinxdoc all 5.3.0-4 [130 kB] Get: 89 http://deb.debian.org/debian bookworm/main amd64 libjson-perl all 4.10000-1 [87.5 kB] Get: 90 http://deb.debian.org/debian bookworm/main amd64 libopenblas0-pthread amd64 0.3.21+ds-4 [6709 kB] Get: 91 http://deb.debian.org/debian bookworm/main amd64 liblapack3 amd64 3.11.0-2 [2323 kB] Get: 92 http://deb.debian.org/debian bookworm/main amd64 liblbfgsb0 amd64 3.0+dfsg.4-1 [28.9 kB] Get: 93 http://deb.debian.org/debian bookworm/main amd64 liblcms2-2 amd64 2.14-2 [154 kB] Get: 94 http://deb.debian.org/debian bookworm/main amd64 liblerc4 amd64 4.0.0+ds-2 [170 kB] Get: 95 http://deb.debian.org/debian bookworm/main amd64 libopenblas0 amd64 0.3.21+ds-4 [32.6 kB] Get: 96 http://deb.debian.org/debian bookworm/main amd64 libopenblas-pthread-dev amd64 0.3.21+ds-4 [4971 kB] Get: 97 http://deb.debian.org/debian bookworm/main amd64 libopenblas-dev amd64 0.3.21+ds-4 [44.9 kB] Get: 98 http://deb.debian.org/debian bookworm/main amd64 libopenjp2-7 amd64 2.5.0-1+b1 [189 kB] Get: 99 http://deb.debian.org/debian bookworm/main amd64 libpython3.11 amd64 3.11.2-6 [1988 kB] Get: 100 http://deb.debian.org/debian bookworm/main amd64 zlib1g-dev amd64 1:1.2.13.dfsg-1 [916 kB] Get: 101 http://deb.debian.org/debian bookworm/main amd64 libpython3.11-dev amd64 3.11.2-6 [4738 kB] Get: 102 http://deb.debian.org/debian bookworm/main amd64 libpython3-dev amd64 3.11.2-1+b1 [9572 B] Get: 103 http://deb.debian.org/debian bookworm/main amd64 libpython3-all-dev amd64 3.11.2-1+b1 [1068 B] Get: 104 http://deb.debian.org/debian bookworm/main amd64 libqhull-r8.0 amd64 2020.2-5 [248 kB] Get: 105 http://deb.debian.org/debian bookworm/main amd64 libraqm0 amd64 0.7.0-4.1 [10.6 kB] Get: 106 http://deb.debian.org/debian bookworm/main amd64 libwebp7 amd64 1.2.4-0.1 [285 kB] Get: 107 http://deb.debian.org/debian bookworm/main amd64 libtiff6 amd64 4.5.0-5 [316 kB] Get: 108 http://deb.debian.org/debian bookworm/main amd64 libwebpdemux2 amd64 1.2.4-0.1 [99.2 kB] Get: 109 http://deb.debian.org/debian bookworm/main amd64 libwebpmux3 amd64 1.2.4-0.1 [109 kB] Get: 110 http://deb.debian.org/debian bookworm/main amd64 libxsimd-dev amd64 8.1.0-7 [88.8 kB] Get: 111 http://deb.debian.org/debian bookworm/main amd64 libxslt1.1 amd64 1.1.35-1 [242 kB] Get: 112 http://deb.debian.org/debian bookworm/main amd64 python-babel-localedata all 2.10.3-1 [5615 kB] Get: 113 http://deb.debian.org/debian bookworm/main amd64 python-matplotlib-data all 3.6.3-1 [2744 kB] Get: 114 http://deb.debian.org/debian bookworm/main amd64 python3-alabaster all 0.7.12-1 [20.8 kB] Get: 115 http://deb.debian.org/debian bookworm/main amd64 python3-all amd64 3.11.2-1+b1 [1056 B] Get: 116 http://deb.debian.org/debian bookworm/main amd64 python3.11-dev amd64 3.11.2-6 [615 kB] Get: 117 http://deb.debian.org/debian bookworm/main amd64 python3-dev amd64 3.11.2-1+b1 [26.2 kB] Get: 118 http://deb.debian.org/debian bookworm/main amd64 python3-all-dev amd64 3.11.2-1+b1 [1072 B] Get: 119 http://deb.debian.org/debian bookworm/main amd64 python3-appdirs all 1.4.4-3 [13.0 kB] Get: 120 http://deb.debian.org/debian bookworm/main amd64 python3-attr all 22.2.0-1 [65.4 kB] Get: 121 http://deb.debian.org/debian bookworm/main amd64 python3-pkg-resources all 66.1.1-1 [296 kB] Get: 122 http://deb.debian.org/debian bookworm/main amd64 python3-tz all 2022.7.1-3 [30.1 kB] Get: 123 http://deb.debian.org/debian bookworm/main amd64 python3-babel all 2.10.3-1 [103 kB] Get: 124 http://deb.debian.org/debian bookworm/main amd64 python3-gast all 0.5.2-2 [9364 B] Get: 125 http://deb.debian.org/debian bookworm/main amd64 python3-beniget all 0.4.1-3 [9920 B] Get: 126 http://deb.debian.org/debian bookworm/main amd64 python3-brotli amd64 1.0.9-2+b6 [281 kB] Get: 127 http://deb.debian.org/debian bookworm/main amd64 python3-certifi all 2022.9.24-1 [153 kB] Get: 128 http://deb.debian.org/debian bookworm/main amd64 python3-chardet all 5.1.0+dfsg-2 [110 kB] Get: 129 http://deb.debian.org/debian bookworm/main amd64 python3-charset-normalizer all 3.0.1-2 [49.3 kB] Get: 130 http://deb.debian.org/debian bookworm/main amd64 python3-numpy amd64 1:1.24.2-1 [5209 kB] Get: 131 http://deb.debian.org/debian bookworm/main amd64 python3-contourpy amd64 1.0.7-1+b1 [176 kB] Get: 132 http://deb.debian.org/debian bookworm/main amd64 python3-cycler all 0.11.0-1 [8020 B] Get: 133 http://deb.debian.org/debian bookworm/main amd64 python3-six all 1.16.0-4 [17.5 kB] Get: 134 http://deb.debian.org/debian bookworm/main amd64 python3-dateutil all 2.8.2-2 [78.3 kB] Get: 135 http://deb.debian.org/debian bookworm/main amd64 python3-decorator all 5.1.1-3 [14.9 kB] Get: 136 http://deb.debian.org/debian bookworm/main amd64 python3-roman all 3.3-3 [9880 B] Get: 137 http://deb.debian.org/debian bookworm/main amd64 python3-docutils all 0.19+dfsg-6 [382 kB] Get: 138 http://deb.debian.org/debian bookworm/main amd64 python3-ply all 3.11-5 [65.8 kB] Get: 139 http://deb.debian.org/debian bookworm/main amd64 python3-pythran amd64 0.11.0+ds-7 [427 kB] Get: 140 http://deb.debian.org/debian bookworm/main amd64 python3-scipy amd64 1.10.1-2 [15.2 MB] Get: 141 http://deb.debian.org/debian bookworm/main amd64 python3-ufolib2 all 0.14.0+dfsg1-1 [34.3 kB] Get: 142 http://deb.debian.org/debian bookworm/main amd64 python3-mpmath all 1.2.1-2 [418 kB] Get: 143 http://deb.debian.org/debian bookworm/main amd64 python3-sympy all 1.11.1-1 [4358 kB] Get: 144 http://deb.debian.org/debian bookworm/main amd64 python3-fs all 2.4.16-2 [95.2 kB] Get: 145 http://deb.debian.org/debian bookworm/main amd64 python3-lxml amd64 4.9.2-1+b1 [1194 kB] Get: 146 http://deb.debian.org/debian bookworm/main amd64 python3-lz4 amd64 4.0.2+dfsg-1+b2 [25.0 kB] Get: 147 http://deb.debian.org/debian bookworm/main amd64 unicode-data all 15.0.0-1 [7984 kB] Get: 148 http://deb.debian.org/debian bookworm/main amd64 python3-fonttools amd64 4.38.0-1+b1 [1012 kB] Get: 149 http://deb.debian.org/debian bookworm/main amd64 python3-future all 0.18.2-6 [348 kB] Get: 150 http://deb.debian.org/debian bookworm/main amd64 python3-idna all 3.3-1 [39.4 kB] Get: 151 http://deb.debian.org/debian bookworm/main amd64 python3-imagesize all 1.4.1-1 [6688 B] Get: 152 http://deb.debian.org/debian bookworm/main amd64 python3-markupsafe amd64 2.1.2-1+b1 [13.2 kB] Get: 153 http://deb.debian.org/debian bookworm/main amd64 python3-jinja2 all 3.1.2-1 [119 kB] Get: 154 http://deb.debian.org/debian bookworm/main amd64 python3-kiwisolver amd64 1.4.4-1+b1 [60.1 kB] Get: 155 http://deb.debian.org/debian bookworm/main amd64 python3-pil amd64 9.4.0-1.1+b1 [472 kB] Get: 156 http://deb.debian.org/debian bookworm/main amd64 python3-tk amd64 3.11.2-3 [98.3 kB] Get: 157 http://deb.debian.org/debian bookworm/main amd64 python3-pil.imagetk amd64 9.4.0-1.1+b1 [74.4 kB] Get: 158 http://deb.debian.org/debian bookworm/main amd64 python3-pyparsing all 3.0.9-1 [138 kB] Get: 159 http://deb.debian.org/debian bookworm/main amd64 python3-packaging all 23.0-1 [32.5 kB] Get: 160 http://deb.debian.org/debian bookworm/main amd64 python3-matplotlib amd64 3.6.3-1+b1 [6921 kB] Get: 161 http://deb.debian.org/debian bookworm/main amd64 python3-nose all 1.3.7-9 [130 kB] Get: 162 http://deb.debian.org/debian bookworm/main amd64 sphinx-common all 5.3.0-4 [653 kB] Get: 163 http://deb.debian.org/debian bookworm/main amd64 python3-pygments all 2.14.0+dfsg-1 [783 kB] Get: 164 http://deb.debian.org/debian bookworm/main amd64 python3-urllib3 all 1.26.12-1 [117 kB] Get: 165 http://deb.debian.org/debian bookworm/main amd64 python3-requests all 2.28.1+dfsg-1 [67.9 kB] Get: 166 http://deb.debian.org/debian bookworm/main amd64 python3-snowballstemmer all 2.2.0-2 [57.8 kB] Get: 167 http://deb.debian.org/debian bookworm/main amd64 python3-sphinx all 5.3.0-4 [549 kB] Get: 168 http://deb.debian.org/debian bookworm/main amd64 python3-numpydoc all 1.5.0-1 [43.0 kB] Get: 169 http://deb.debian.org/debian bookworm/main amd64 python3-setuptools all 66.1.1-1 [521 kB] Fetched 131 MB in 24s (5380 kB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libpython3.11-minimal:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19596 files and directories currently installed.) Preparing to unpack .../libpython3.11-minimal_3.11.2-6_amd64.deb ... Unpacking libpython3.11-minimal:amd64 (3.11.2-6) ... Selecting previously unselected package libexpat1:amd64. Preparing to unpack .../libexpat1_2.5.0-1_amd64.deb ... Unpacking libexpat1:amd64 (2.5.0-1) ... Selecting previously unselected package python3.11-minimal. Preparing to unpack .../python3.11-minimal_3.11.2-6_amd64.deb ... Unpacking python3.11-minimal (3.11.2-6) ... Setting up libpython3.11-minimal:amd64 (3.11.2-6) ... Setting up libexpat1:amd64 (2.5.0-1) ... Setting up python3.11-minimal (3.11.2-6) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19912 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.11.2-1+b1_amd64.deb ... Unpacking python3-minimal (3.11.2-1+b1) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_10.0.0_all.deb ... Unpacking media-types (10.0.0) ... Selecting previously unselected package readline-common. Preparing to unpack .../2-readline-common_8.2-1.3_all.deb ... Unpacking readline-common (8.2-1.3) ... Selecting previously unselected package libreadline8:amd64. Preparing to unpack .../3-libreadline8_8.2-1.3_amd64.deb ... Unpacking libreadline8:amd64 (8.2-1.3) ... Selecting previously unselected package libpython3.11-stdlib:amd64. Preparing to unpack .../4-libpython3.11-stdlib_3.11.2-6_amd64.deb ... Unpacking libpython3.11-stdlib:amd64 (3.11.2-6) ... Selecting previously unselected package python3.11. Preparing to unpack .../5-python3.11_3.11.2-6_amd64.deb ... Unpacking python3.11 (3.11.2-6) ... Selecting previously unselected package libpython3-stdlib:amd64. Preparing to unpack .../6-libpython3-stdlib_3.11.2-1+b1_amd64.deb ... Unpacking libpython3-stdlib:amd64 (3.11.2-1+b1) ... Setting up python3-minimal (3.11.2-1+b1) ... Selecting previously unselected package python3. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20346 files and directories currently installed.) Preparing to unpack .../000-python3_3.11.2-1+b1_amd64.deb ... Unpacking python3 (3.11.2-1+b1) ... Selecting previously unselected package sgml-base. Preparing to unpack .../001-sgml-base_1.31_all.deb ... Unpacking sgml-base (1.31) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../002-sensible-utils_0.0.17+nmu1_all.deb ... Unpacking sensible-utils (0.0.17+nmu1) ... Selecting previously unselected package openssl. Preparing to unpack .../003-openssl_3.0.8-1_amd64.deb ... Unpacking openssl (3.0.8-1) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../004-ca-certificates_20230311_all.deb ... Unpacking ca-certificates (20230311) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../005-libmagic-mgc_1%3a5.44-3_amd64.deb ... Unpacking libmagic-mgc (1:5.44-3) ... Selecting previously unselected package libmagic1:amd64. Preparing to unpack .../006-libmagic1_1%3a5.44-3_amd64.deb ... Unpacking libmagic1:amd64 (1:5.44-3) ... Selecting previously unselected package file. Preparing to unpack .../007-file_1%3a5.44-3_amd64.deb ... Unpacking file (1:5.44-3) ... Selecting previously unselected package gettext-base. Preparing to unpack .../008-gettext-base_0.21-12_amd64.deb ... Unpacking gettext-base (0.21-12) ... Selecting previously unselected package libuchardet0:amd64. Preparing to unpack .../009-libuchardet0_0.0.7-1_amd64.deb ... Unpacking libuchardet0:amd64 (0.0.7-1) ... Selecting previously unselected package groff-base. Preparing to unpack .../010-groff-base_1.22.4-10_amd64.deb ... Unpacking groff-base (1.22.4-10) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../011-bsdextrautils_2.38.1-5+b1_amd64.deb ... Unpacking bsdextrautils (2.38.1-5+b1) ... Selecting previously unselected package libpipeline1:amd64. Preparing to unpack .../012-libpipeline1_1.5.7-1_amd64.deb ... Unpacking libpipeline1:amd64 (1.5.7-1) ... Selecting previously unselected package man-db. Preparing to unpack .../013-man-db_2.11.2-2_amd64.deb ... Unpacking man-db (2.11.2-2) ... Selecting previously unselected package m4. Preparing to unpack .../014-m4_1.4.19-3_amd64.deb ... Unpacking m4 (1.4.19-3) ... Selecting previously unselected package autoconf. Preparing to unpack .../015-autoconf_2.71-3_all.deb ... Unpacking autoconf (2.71-3) ... Selecting previously unselected package autotools-dev. Preparing to unpack .../016-autotools-dev_20220109.1_all.deb ... Unpacking autotools-dev (20220109.1) ... Selecting previously unselected package automake. Preparing to unpack .../017-automake_1%3a1.16.5-1.3_all.deb ... Unpacking automake (1:1.16.5-1.3) ... Selecting previously unselected package autopoint. Preparing to unpack .../018-autopoint_0.21-12_all.deb ... Unpacking autopoint (0.21-12) ... Selecting previously unselected package libtcl8.6:amd64. Preparing to unpack .../019-libtcl8.6_8.6.13+dfsg-2_amd64.deb ... Unpacking libtcl8.6:amd64 (8.6.13+dfsg-2) ... Selecting previously unselected package libbrotli1:amd64. Preparing to unpack .../020-libbrotli1_1.0.9-2+b6_amd64.deb ... Unpacking libbrotli1:amd64 (1.0.9-2+b6) ... 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Unpacking python3-pil:amd64 (9.4.0-1.1+b1) ... Selecting previously unselected package python3-tk:amd64. Preparing to unpack .../145-python3-tk_3.11.2-3_amd64.deb ... Unpacking python3-tk:amd64 (3.11.2-3) ... Selecting previously unselected package python3-pil.imagetk:amd64. Preparing to unpack .../146-python3-pil.imagetk_9.4.0-1.1+b1_amd64.deb ... Unpacking python3-pil.imagetk:amd64 (9.4.0-1.1+b1) ... Selecting previously unselected package python3-pyparsing. Preparing to unpack .../147-python3-pyparsing_3.0.9-1_all.deb ... Unpacking python3-pyparsing (3.0.9-1) ... Selecting previously unselected package python3-packaging. Preparing to unpack .../148-python3-packaging_23.0-1_all.deb ... Unpacking python3-packaging (23.0-1) ... Selecting previously unselected package python3-matplotlib. Preparing to unpack .../149-python3-matplotlib_3.6.3-1+b1_amd64.deb ... Unpacking python3-matplotlib (3.6.3-1+b1) ... Selecting previously unselected package python3-nose. Preparing to unpack .../150-python3-nose_1.3.7-9_all.deb ... Unpacking python3-nose (1.3.7-9) ... Selecting previously unselected package sphinx-common. Preparing to unpack .../151-sphinx-common_5.3.0-4_all.deb ... Unpacking sphinx-common (5.3.0-4) ... Selecting previously unselected package python3-pygments. Preparing to unpack .../152-python3-pygments_2.14.0+dfsg-1_all.deb ... Unpacking python3-pygments (2.14.0+dfsg-1) ... Selecting previously unselected package python3-urllib3. Preparing to unpack .../153-python3-urllib3_1.26.12-1_all.deb ... Unpacking python3-urllib3 (1.26.12-1) ... Selecting previously unselected package python3-requests. Preparing to unpack .../154-python3-requests_2.28.1+dfsg-1_all.deb ... Unpacking python3-requests (2.28.1+dfsg-1) ... Selecting previously unselected package python3-snowballstemmer. Preparing to unpack .../155-python3-snowballstemmer_2.2.0-2_all.deb ... Unpacking python3-snowballstemmer (2.2.0-2) ... Selecting previously unselected package python3-sphinx. Preparing to unpack .../156-python3-sphinx_5.3.0-4_all.deb ... Unpacking python3-sphinx (5.3.0-4) ... Selecting previously unselected package python3-numpydoc. Preparing to unpack .../157-python3-numpydoc_1.5.0-1_all.deb ... Unpacking python3-numpydoc (1.5.0-1) ... Selecting previously unselected package python3-setuptools. Preparing to unpack .../158-python3-setuptools_66.1.1-1_all.deb ... Unpacking python3-setuptools (66.1.1-1) ... Setting up media-types (10.0.0) ... Setting up libpipeline1:amd64 (1.5.7-1) ... Setting up libgraphite2-3:amd64 (1.3.14-1) ... Setting up liblcms2-2:amd64 (2.14-2) ... Setting up libxau6:amd64 (1:1.0.9-1) ... Setting up libboost1.74-dev:amd64 (1.74.0+ds1-20) ... Setting up libicu72:amd64 (72.1-3) ... Setting up liblerc4:amd64 (4.0.0+ds-2) ... Setting up bsdextrautils (2.38.1-5+b1) ... Setting up libmagic-mgc (1:5.44-3) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libglib2.0-0:amd64 (2.74.6-2) ... No schema files found: doing nothing. Setting up fonts-lyx (2.3.7-1) ... Setting up libdebhelper-perl (13.11.4) ... Setting up libbrotli1:amd64 (1.0.9-2+b6) ... Setting up x11-common (1:7.7+23) ... invoke-rc.d: could not determine current runlevel Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libmagic1:amd64 (1:5.44-3) ... Setting up libdeflate0:amd64 (1.14-1) ... Setting up gettext-base (0.21-12) ... Setting up m4 (1.4.19-3) ... Setting up libqhull-r8.0:amd64 (2020.2-5) ... Setting up file (1:5.44-3) ... Setting up libjbig0:amd64 (2.1-6.1) ... Setting up python-babel-localedata (2.10.3-1) ... Setting up unicode-data (15.0.0-1) ... Setting up libxsimd-dev:amd64 (8.1.0-7) ... Setting up autotools-dev (20220109.1) ... Setting up libblas3:amd64 (3.11.0-2) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Setting up libexpat1-dev:amd64 (2.5.0-1) ... Setting up libjpeg62-turbo:amd64 (1:2.1.5-2) ... Setting up libx11-data (2:1.8.4-2) ... Setting up libfribidi0:amd64 (1.0.8-2.1) ... Setting up libimagequant0:amd64 (2.17.0-1) ... Setting up libpng16-16:amd64 (1.6.39-2) ... Setting up libtcl8.6:amd64 (8.6.13+dfsg-2) ... Setting up autopoint (0.21-12) ... Setting up fonts-dejavu-core (2.37-6) ... Setting up libgfortran5:amd64 (12.2.0-14) ... Setting up autoconf (2.71-3) ... Setting up libwebp7:amd64 (1.2.4-0.1) ... Setting up zlib1g-dev:amd64 (1:1.2.13.dfsg-1) ... Setting up sensible-utils (0.0.17+nmu1) ... Setting up libtiff6:amd64 (4.5.0-5) ... Setting up libuchardet0:amd64 (0.0.7-1) ... Setting up libjson-perl (4.10000-1) ... Setting up libopenjp2-7:amd64 (2.5.0-1+b1) ... Setting up libsub-override-perl (0.09-4) ... Setting up sgml-base (1.31) ... Setting up libboost-dev:amd64 (1.74.0.3) ... Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... Setting up python-matplotlib-data (3.6.3-1) ... Setting up openssl (3.0.8-1) ... Setting up libwebpmux3:amd64 (1.2.4-0.1) ... Setting up libbsd0:amd64 (0.11.7-2) ... Setting up libelf1:amd64 (0.188-2.1) ... Setting up readline-common (8.2-1.3) ... Setting up libxml2:amd64 (2.9.14+dfsg-1.2) ... Setting up libjs-underscore (1.13.4~dfsg+~1.11.4-3) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libfile-stripnondeterminism-perl (1.13.1-1) ... Setting up libxdmcp6:amd64 (1:1.1.2-3) ... Setting up liblapack3:amd64 (3.11.0-2) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up libxcb1:amd64 (1.15-1) ... Setting up gettext (0.21-12) ... Setting up libopenblas0-pthread:amd64 (0.3.21+ds-4) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so.0 to provide /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (libopenblas.so.0-x86_64-linux-gnu) in auto mode Setting up libtool (2.4.7-5) ... Setting up fontconfig-config (2.14.1-4) ... Setting up libwebpdemux2:amd64 (1.2.4-0.1) ... Setting up libreadline8:amd64 (8.2-1.3) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up ca-certificates (20230311) ... Updating certificates in /etc/ssl/certs... 140 added, 0 removed; done. Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... Setting up libfreetype6:amd64 (2.12.1+dfsg-5) ... Setting up libjs-sphinxdoc (5.3.0-4) ... Setting up dh-strip-nondeterminism (1.13.1-1) ... Setting up dwz (0.15-1) ... Setting up libopenblas0:amd64 (0.3.21+ds-4) ... Setting up groff-base (1.22.4-10) ... Setting up xml-core (0.18+nmu1) ... Setting up libxslt1.1:amd64 (1.1.35-1) ... Setting up libx11-6:amd64 (2:1.8.4-2) ... Setting up libharfbuzz0b:amd64 (6.0.0+dfsg-3) ... Setting up libfontconfig1:amd64 (2.14.1-4) ... Setting up liblbfgsb0:amd64 (3.0+dfsg.4-1) ... Setting up libopenblas-pthread-dev:amd64 (0.3.21+ds-4) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode update-alternatives: using /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so to provide /usr/lib/x86_64-linux-gnu/libopenblas.so (libopenblas.so-x86_64-linux-gnu) in auto mode Setting up libxrender1:amd64 (1:0.9.10-1.1) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libpython3.11-stdlib:amd64 (3.11.2-6) ... Setting up libxext6:amd64 (2:1.3.4-1+b1) ... Setting up man-db (2.11.2-2) ... Not building database; man-db/auto-update is not 'true'. Setting up libopenblas-dev:amd64 (0.3.21+ds-4) ... Setting up libraqm0:amd64 (0.7.0-4.1) ... Setting up sphinx-common (5.3.0-4) ... Setting up libxss1:amd64 (1:1.2.3-1) ... Setting up libpython3-stdlib:amd64 (3.11.2-1+b1) ... Setting up python3.11 (3.11.2-6) ... Setting up libxft2:amd64 (2.3.6-1) ... Setting up libpython3.11:amd64 (3.11.2-6) ... Setting up libtk8.6:amd64 (8.6.13-2) ... Setting up debhelper (13.11.4) ... Setting up python3 (3.11.2-1+b1) ... Setting up python3-markupsafe (2.1.2-1+b1) ... Setting up python3-tz (2022.7.1-3) ... Setting up python3-six (1.16.0-4) ... Setting up python3-roman (3.3-3) ... Setting up python3-decorator (5.1.1-3) ... Setting up python3-jinja2 (3.1.2-1) ... Setting up python3-packaging (23.0-1) ... Setting up python3-pyparsing (3.0.9-1) ... Setting up python3-certifi (2022.9.24-1) ... Setting up python3-snowballstemmer (2.2.0-2) ... Setting up libpython3.11-dev:amd64 (3.11.2-6) ... Setting up python3-brotli (1.0.9-2+b6) ... Setting up python3-cycler (0.11.0-1) ... Setting up python3-kiwisolver (1.4.4-1+b1) ... Setting up python3-idna (3.3-1) ... Setting up python3-urllib3 (1.26.12-1) ... Setting up python3-lxml:amd64 (4.9.2-1+b1) ... Setting up python3-dateutil (2.8.2-2) ... Setting up python3-mpmath (1.2.1-2) ... Setting up python3-lib2to3 (3.11.2-3) ... Setting up python3-appdirs (1.4.4-3) ... Setting up python3-imagesize (1.4.1-1) ... Setting up python3-pkg-resources (66.1.1-1) ... Setting up python3-distutils (3.11.2-3) ... Setting up dh-python (5.20230130) ... Setting up python3-sympy (1.11.1-1) ... Setting up python3-attr (22.2.0-1) ... Setting up tk8.6-blt2.5 (2.5.3+dfsg-4.1) ... Setting up libpython3-dev:amd64 (3.11.2-1+b1) ... Setting up python3-setuptools (66.1.1-1) ... Setting up python3-babel (2.10.3-1) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-lz4 (4.0.2+dfsg-1+b2) ... Setting up python3.11-dev (3.11.2-6) ... Setting up python3-charset-normalizer (3.0.1-2) ... Setting up python3-alabaster (0.7.12-1) ... Setting up blt (2.5.3+dfsg-4.1) ... Setting up python3-ply (3.11-5) ... Setting up python3-gast (0.5.2-2) ... Setting up python3-all (3.11.2-1+b1) ... Setting up python3-tk:amd64 (3.11.2-3) ... Setting up python3-nose (1.3.7-9) ... Setting up python3-fs (2.4.16-2) ... Setting up python3-beniget (0.4.1-3) ... Setting up python3-pygments (2.14.0+dfsg-1) ... Setting up python3-chardet (5.1.0+dfsg-2) ... Setting up libpython3-all-dev:amd64 (3.11.2-1+b1) ... Setting up python3-dev (3.11.2-1+b1) ... Setting up python3-requests (2.28.1+dfsg-1) ... Setting up python3-numpy (1:1.24.2-1) ... Setting up python3-contourpy (1.0.7-1+b1) ... Setting up python3-future (0.18.2-6) ... update-alternatives: using /usr/bin/python3-futurize to provide /usr/bin/futurize (futurize) in auto mode update-alternatives: using /usr/bin/python3-pasteurize to provide /usr/bin/pasteurize (pasteurize) in auto mode Setting up python3-all-dev (3.11.2-1+b1) ... Setting up python3-pythran (0.11.0+ds-7) ... Setting up python3-scipy (1.10.1-2) ... Setting up python3-pil:amd64 (9.4.0-1.1+b1) ... Setting up python3-pil.imagetk:amd64 (9.4.0-1.1+b1) ... Setting up python3-ufolib2 (0.14.0+dfsg1-1) ... Setting up python3-fonttools (4.38.0-1+b1) ... Setting up python3-matplotlib (3.6.3-1+b1) ... Processing triggers for libc-bin (2.36-9) ... Processing triggers for sgml-base (1.31) ... Setting up docutils-common (0.19+dfsg-6) ... Processing triggers for sgml-base (1.31) ... Setting up python3-docutils (0.19+dfsg-6) ... Setting up python3-sphinx (5.3.0-4) ... Setting up python3-numpydoc (1.5.0-1) ... Processing triggers for ca-certificates (20230311) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... usrmerge is already the newest version (35). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/A99_set_merged_usr starting Re-configuring usrmerge... removed '/etc/unsupported-skip-usrmerge-conversion' The system has been successfully converted. I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/A99_set_merged_usr finished hostname: Name or service not known I: Running cd /build/mir-eval-0.7/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../mir-eval_0.7-3_source.changes dpkg-buildpackage: info: source package mir-eval dpkg-buildpackage: info: source version 0.7-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Josenilson Ferreira da Silva dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --with python3,sphinxdoc --buildsystem=pybuild dh_auto_clean -O--buildsystem=pybuild I: pybuild base:240: python3.11 setup.py clean running clean removing '/build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build' (and everything under it) 'build/bdist.linux-x86_64' does not exist -- can't clean it 'build/scripts-3.11' does not exist -- can't clean it dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --with python3,sphinxdoc --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:240: python3.11 setup.py config running config debian/rules override_dh_auto_build make[1]: Entering directory '/build/mir-eval-0.7' dh_auto_build I: pybuild base:240: /usr/bin/python3 setup.py build running build running build_py creating /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/beat.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/chord.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/segment.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/util.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/transcription_velocity.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/transcription.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/tempo.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/sonify.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/separation.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/pattern.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/onset.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/multipitch.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/melody.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/key.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/io.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/hierarchy.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/display.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/alignment.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval copying mir_eval/__init__.py -> /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval PYTHONPATH=. http_proxy='http://127.0.0.1:9/' python3 -m sphinx -N -bhtml docs/ debian/html Running Sphinx v5.3.0 making output directory... done WARNING: html_static_path entry '_static' does not exist [autosummary] generating autosummary for: changes.rst, index.rst Matplotlib created a temporary config/cache directory at /tmp/matplotlib-965o2ww_ because the default path (/nonexistent/second-build/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing. building [mo]: targets for 0 po files that are out of date building [html]: targets for 2 source files that are out of date updating environment: [new config] 2 added, 0 changed, 0 removed reading sources... [ 50%] changes reading sources... [100%] index /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:19: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.freq_to_voicing:15: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:13: WARNING: Block quote ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.freq_to_voicing:19: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.to_cent_voicing:30: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.voicing_recall:18: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:15: WARNING: Block quote ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:17: WARNING: Definition list ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.voicing_false_alarm:18: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:15: WARNING: Block quote ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:17: WARNING: Definition list ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.voicing_measures:19: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:16: WARNING: Block quote ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody:18: WARNING: Definition list ends without a blank line; unexpected unindent. /build/mir-eval-0.7/mir_eval/melody.py:docstring of mir_eval.melody.evaluate:24: ERROR: Unexpected indentation. /build/mir-eval-0.7/mir_eval/hierarchy.py:docstring of mir_eval.hierarchy:10: WARNING: Inline literal start-string without end-string. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:44::1: ERROR: Unknown interpreted text role "rc". /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.__call__'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.fix_minus'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.format_data'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.format_data_short'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.format_ticks'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.set_bounds'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.set_data_interval'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.set_locs'. Check your autosummary_generate setting. /build/mir-eval-0.7/mir_eval/display.py:docstring of mir_eval.display.IntervalFormatter:31: WARNING: autosummary: stub file not found 'mir_eval.display.IntervalFormatter.set_view_interval'. Check your autosummary_generate setting. looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 50%] changes writing output... [100%] index WARNING: LaTeX command 'latex' cannot be run (needed for math display), check the imgmath_latex setting generating indices... genindex py-modindex done writing additional pages... search done copying static files... done copying extra files... done dumping search index in English (code: en)... done dumping object inventory... done build succeeded, 28 warnings. The HTML pages are in debian/html. make[1]: Leaving directory '/build/mir-eval-0.7' dh_auto_test -O--buildsystem=pybuild I: pybuild base:240: cd /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build; python3.11 -m nose -v -w /build/mir-eval-0.7/tests/ -e .*test_multipitch_midi.* -e test_sonify.py -e test_display.py test_alignment.test_alignment_functions(,) ... ok test_alignment.test_alignment_functions(,) ... ok test_alignment.test_alignment_functions(,) ... ok test_alignment.test_alignment_functions(. at 0x7fb81dba1a80>,) ... ok test_alignment.test_alignment_functions(,) ... ok test_alignment.test_alignment_functions('data/alignment/output00.json', 'pc', 1.0, 1.0) ... ok test_alignment.test_alignment_functions('data/alignment/output00.json', 'mae', 0.0, 0.0) ... ok test_alignment.test_alignment_functions('data/alignment/output00.json', 'aae', 0.0, 0.0) ... ok test_alignment.test_alignment_functions('data/alignment/output00.json', 'pcs', 1.0, 1.0) ... ok test_alignment.test_alignment_functions('data/alignment/output00.json', 'perceptual', 0.9606239680360235, 0.9606239680360235) ... ok test_alignment.test_alignment_functions('data/alignment/output01.json', 'pc', 0.0, 0.0) ... ok test_alignment.test_alignment_functions('data/alignment/output01.json', 'mae', 0.5, 0.5) ... ok test_alignment.test_alignment_functions('data/alignment/output01.json', 'aae', 0.5, 0.5) ... ok test_alignment.test_alignment_functions('data/alignment/output01.json', 'pcs', 0.7352941176470589, 0.7352941176470589) ... ok test_alignment.test_alignment_functions('data/alignment/output01.json', 'perceptual', 0.0833538912522229, 0.0833538912522229) ... ok test_alignment.test_alignment_functions('data/alignment/output02.json', 'pc', 0.2727272727272727, 0.2727272727272727) ... ok test_alignment.test_alignment_functions('data/alignment/output02.json', 'mae', 0.5999999999999996, 0.5999999999999996) ... ok test_alignment.test_alignment_functions('data/alignment/output02.json', 'aae', 1.8636363636363635, 1.8636363636363635) ... ok test_alignment.test_alignment_functions('data/alignment/output02.json', 'pcs', 0.7250000000000001, 0.7250000000000001) ... ok test_alignment.test_alignment_functions('data/alignment/output02.json', 'perceptual', 0.17994453887587472, 0.17994453887587472) ... ok test_alignment.test_alignment_functions('data/alignment/output03_mirex.json', 'pc', 0.16666666666666666, 0.16666666666666666) ... ok test_alignment.test_alignment_functions('data/alignment/output03_mirex.json', 'mae', 0.7999999999999998, 0.7999999999999998) ... ok test_alignment.test_alignment_functions('data/alignment/output03_mirex.json', 'aae', 0.9625763961515, 0.9625763961515) ... ok test_alignment.test_alignment_functions('data/alignment/output03_mirex.json', 'pcs', 0.5591983153121662, 0.5591983153121662) ... ok test_alignment.test_alignment_functions('data/alignment/output03_mirex.json', 'perceptual', 0.1679578367769917, 0.1679578367769917) ... ok test_alignment.test_alignment_functions('data/alignment/output04_mirex.json', 'pc', 0.0, 0) ... ok test_alignment.test_alignment_functions('data/alignment/output04_mirex.json', 'mae', 0.7999999999999998, 0.7999999999999998) ... ok test_alignment.test_alignment_functions('data/alignment/output04_mirex.json', 'aae', 0.9784861256363334, 0.9784861256363334) ... ok test_alignment.test_alignment_functions('data/alignment/output04_mirex.json', 'pcs', 0.5395690469032295, 0.5395690469032295) ... ok test_alignment.test_alignment_functions('data/alignment/output04_mirex.json', 'perceptual', 0.014511670347043502, 0.014511670347043502) ... ok test_beat.test_trim_beats ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions(,) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'F-measure', 0.6216216216216216, 0.6216216216216216) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Cemgil', 0.3626766994737641, 0.3626766994737641) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Cemgil Best Metric Level', 0.3626766994737641, 0.3626766994737641) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'P-score', 0.8281853281853282, 0.8281853281853282) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Correct Metric Level Continuous', 0.032818532818532815, 0.032818532818532815) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Correct Metric Level Total', 0.6544401544401545, 0.6544401544401545) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Any Metric Level Continuous', 0.032818532818532815, 0.032818532818532815) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Any Metric Level Total', 0.6544401544401545, 0.6544401544401545) ... ok test_beat.test_beat_functions('data/beat/output00.json', 'Information gain', 0.20492902479030567, 0.20492902479030584) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'F-measure', 0.5714285714285714, 0.5714285714285714) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Cemgil', 0.37930967713752983, 0.37930967713752983) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Cemgil Best Metric Level', 0.37930967713752983, 0.37930967713752983) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'P-score', 0.7786624203821656, 0.7786624203821656) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Correct Metric Level Continuous', 0.06528662420382166, 0.06528662420382166) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Correct Metric Level Total', 0.5923566878980892, 0.5923566878980892) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Any Metric Level Continuous', 0.06528662420382166, 0.06528662420382166) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Any Metric Level Total', 0.5923566878980892, 0.5923566878980892) ... ok test_beat.test_beat_functions('data/beat/output01.json', 'Information gain', 0.18165289235165952, 0.18165289235165968) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'F-measure', 0.710691823899371, 0.710691823899371) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Cemgil', 0.5142812021968689, 0.5142812021968689) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Cemgil Best Metric Level', 0.5142812021968689, 0.5142812021968689) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'P-score', 0.7861635220125787, 0.7861635220125787) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Correct Metric Level Continuous', 0.06918238993710692, 0.06918238993710692) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Correct Metric Level Total', 0.7023060796645703, 0.7023060796645703) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Any Metric Level Continuous', 0.06918238993710692, 0.06918238993710692) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Any Metric Level Total', 0.7023060796645703, 0.7023060796645703) ... ok test_beat.test_beat_functions('data/beat/output02.json', 'Information gain', 0.16915072749280333, 0.16915072749280333) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'F-measure', 0.15827338129496404, 0.15827338129496404) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Cemgil', 0.10490347511815068, 0.10490347511815068) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Cemgil Best Metric Level', 0.20035411158345875, 0.20035411158345875) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'P-score', 0.4052132701421801, 0.4052132701421801) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Correct Metric Level Continuous', 0.002369668246445498, 0.002369668246445498) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Correct Metric Level Total', 0.004739336492890996, 0.004739336492890996) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Any Metric Level Continuous', 0.003669724770642202, 0.003669724770642202) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Any Metric Level Total', 0.012844036697247707, 0.012844036697247707) ... ok test_beat.test_beat_functions('data/beat/output03.json', 'Information gain', 0.034733860498018874, 0.03473386049801921) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'F-measure', 0.5517241379310345, 0.5517241379310345) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Cemgil', 0.3621388439075096, 0.3621388439075096) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Cemgil Best Metric Level', 0.3621388439075096, 0.3621388439075096) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'P-score', 0.8068965517241379, 0.8068965517241379) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Correct Metric Level Continuous', 0.04310344827586207, 0.04310344827586207) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Correct Metric Level Total', 0.6189655172413793, 0.6189655172413793) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Any Metric Level Continuous', 0.04310344827586207, 0.04310344827586207) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Any Metric Level Total', 0.6189655172413793, 0.6189655172413793) ... ok test_beat.test_beat_functions('data/beat/output04.json', 'Information gain', 0.17432052000795445, 0.17432052000795428) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'F-measure', 0.2191304347826087, 0.2191304347826087) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Cemgil', 0.12313752600283781, 0.12313752600283781) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Cemgil Best Metric Level', 0.12313752600283781, 0.12313752600283781) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'P-score', 0.6470588235294118, 0.6470588235294118) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Correct Metric Level Continuous', 0.02768166089965398, 0.02768166089965398) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Correct Metric Level Total', 0.42560553633217996, 0.42560553633217996) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Any Metric Level Continuous', 0.02768166089965398, 0.02768166089965398) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Any Metric Level Total', 0.42560553633217996, 0.42560553633217996) ... ok test_beat.test_beat_functions('data/beat/output05.json', 'Information gain', 0.37609621063532106, 0.37609621063532095) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'F-measure', 0.38995568685376664, 0.38995568685376664) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Cemgil', 0.22357721675815428, 0.22357721675815428) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Cemgil Best Metric Level', 0.22357721675815428, 0.22357721675815428) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'P-score', 0.7411764705882353, 0.7411764705882353) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Correct Metric Level Continuous', 0.041176470588235294, 0.041176470588235294) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Correct Metric Level Total', 0.5764705882352941, 0.5764705882352941) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Any Metric Level Continuous', 0.041176470588235294, 0.041176470588235294) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Any Metric Level Total', 0.5764705882352941, 0.5764705882352941) ... ok test_beat.test_beat_functions('data/beat/output06.json', 'Information gain', 0.29985845720926335, 0.29985845720926313) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'F-measure', 0.41231593038821956, 0.41231593038821956) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Cemgil', 0.22720728663021972, 0.22720728663021972) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Cemgil Best Metric Level', 0.22720728663021972, 0.22720728663021972) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'P-score', 0.8933333333333333, 0.8933333333333333) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Correct Metric Level Continuous', 0.09066666666666667, 0.09066666666666667) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Correct Metric Level Total', 0.7253333333333334, 0.7253333333333334) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Any Metric Level Continuous', 0.09066666666666667, 0.09066666666666667) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Any Metric Level Total', 0.7253333333333334, 0.7253333333333334) ... ok test_beat.test_beat_functions('data/beat/output07.json', 'Information gain', 0.4595185333587894, 0.4595185333587894) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'F-measure', 0.17100371747211895, 0.17100371747211895) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Cemgil', 0.10601534783891264, 0.10601534783891264) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Cemgil Best Metric Level', 0.10601534783891264, 0.10601534783891264) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Goto', 0.0, 0.0) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'P-score', 0.6481481481481481, 0.6481481481481481) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Correct Metric Level Continuous', 0.022222222222222223, 0.022222222222222223) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Correct Metric Level Total', 0.45555555555555555, 0.45555555555555555) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Any Metric Level Continuous', 0.022222222222222223, 0.022222222222222223) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Any Metric Level Total', 0.45555555555555555, 0.45555555555555555) ... ok test_beat.test_beat_functions('data/beat/output08.json', 'Information gain', 0.36848147577387486, 0.36848147577387486) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'F-measure', 0.9992082343626286, 0.9992082343626286) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Cemgil', 0.983071489454861, 0.983071489454861) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Cemgil Best Metric Level', 0.983071489454861, 0.983071489454861) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Goto', 1.0, 1.0) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'P-score', 0.9984177215189873, 0.9984177215189873) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Correct Metric Level Continuous', 0.9984177215189873, 0.9984177215189873) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Correct Metric Level Total', 0.9984177215189873, 0.9984177215189873) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Any Metric Level Continuous', 0.9984177215189873, 0.9984177215189873) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Any Metric Level Total', 0.9984177215189873, 0.9984177215189873) ... ok test_beat.test_beat_functions('data/beat/output09.json', 'Information gain', 0.7752739365139686, 0.7752739365139686) ... ok test_beat.test_goto_proportion_correct ... ok test_beat.test_warning_on_one_beat ... ok test_beat.test_continuity_edge_cases ... ok test_chord.test_pitch_class_to_semitone(, ('Gbb',), 5) ... ok test_chord.test_pitch_class_to_semitone(, ('G',), 7) ... ok test_chord.test_pitch_class_to_semitone(, ('G#',), 8) ... ok test_chord.test_pitch_class_to_semitone(, ('Cb',), 11) ... ok test_chord.test_pitch_class_to_semitone(, ('B#',), 0) ... ok test_chord.test_pitch_class_to_semitone(, ('Cab',), ) ... ok test_chord.test_pitch_class_to_semitone(, ('#C',), ) ... ok test_chord.test_pitch_class_to_semitone(, ('bG',), ) ... ok test_chord.test_scale_degree_to_semitone(, ('b7',), 10) ... ok test_chord.test_scale_degree_to_semitone(, ('#3',), 5) ... ok test_chord.test_scale_degree_to_semitone(, ('1',), 0) ... ok test_chord.test_scale_degree_to_semitone(, ('b1',), -1) ... ok test_chord.test_scale_degree_to_semitone(, ('#7',), 12) ... ok test_chord.test_scale_degree_to_semitone(, ('bb5',), 5) ... ok test_chord.test_scale_degree_to_semitone(, ('11',), 17) ... ok test_chord.test_scale_degree_to_semitone(, ('#13',), 22) ... ok test_chord.test_scale_degree_to_semitone(, ('7b',), ) ... ok test_chord.test_scale_degree_to_semitone(, ('4#',), ) ... ok test_chord.test_scale_degree_to_semitone(, ('77',), ) ... ok test_chord.test_scale_degree_to_semitone(, ('15',), ) ... ok test_chord.test_scale_degree_to_bitmap(, ('3', True, 12), array([0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0])) ... ok test_chord.test_scale_degree_to_bitmap(, ('*3', True, 12), array([ 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0])) ... ok test_chord.test_scale_degree_to_bitmap(, ('b1', True, 12), array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1])) ... ok test_chord.test_scale_degree_to_bitmap(, ('9', True, 12), array([0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0])) ... ok test_chord.test_scale_degree_to_bitmap(, ('9', False, 12), array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) ... ok test_chord.test_scale_degree_to_bitmap(, ('9', False, 15), array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1])) ... ok test_chord.test_validate_chord_label('C',) ... ok test_chord.test_validate_chord_label('Eb:min/5',) ... ok test_chord.test_validate_chord_label('A#:dim7',) ... ok test_chord.test_validate_chord_label('B:maj(*1,*5)/3',) ... ok test_chord.test_validate_chord_label('A#:sus4',) ... ok test_chord.test_validate_chord_label('A:(9,11)',) ... ok test_chord.test_validate_chord_label(, ('C::maj',), ) ... ok test_chord.test_validate_chord_label(, ('C//5',), ) ... ok test_chord.test_validate_chord_label(, ('C((4)',), ) ... ok test_chord.test_validate_chord_label(, ('C5))',), ) ... ok test_chord.test_validate_chord_label(, ('C:maj(*3/3',), ) ... ok test_chord.test_validate_chord_label(, ('Cmaj*3/3)',), ) ... ok test_chord.test_validate_chord_label(, ('asdf',), ) ... ok test_chord.test_split(, ('C',), ['C', 'maj', set(), '1']) ... ok test_chord.test_split(, ('B:maj(*1,*3)/5',), ['B', 'maj', {'*1', '*3'}, '5']) ... ok test_chord.test_split(, ('Ab:min/b3',), ['Ab', 'min', set(), 'b3']) ... ok test_chord.test_split(, ('N',), ['N', '', set(), '']) ... ok test_chord.test_split(, ('G:(3)',), ['G', '', {'3'}, '1']) ... ok test_chord.test_split(, ('C', True), ['C', 'maj', set(), '1']) ... ok test_chord.test_split(, ('C:minmaj7', True), ['C', 'min', {'7'}, '1']) ... ok test_chord.test_split(, ('C(*5)',), ) ... ok test_chord.test_join(, ('F#', '', None, ''), 'F#') ... ok test_chord.test_join(, ('F#', 'hdim7', None, ''), 'F#:hdim7') ... ok test_chord.test_join(, ('F#', '', ['*b3', '4'], ''), 'F#:(*b3,4)') ... ok test_chord.test_join(, ('F#', '', None, 'b7'), 'F#/b7') ... ok test_chord.test_join(, ('F#', '', ['*b3', '4'], 'b7'), 'F#:(*b3,4)/b7') ... ok test_chord.test_join(, ('F#', 'hdim7', None, 'b7'), 'F#:hdim7/b7') ... ok test_chord.test_join(, ('F#', 'hdim7', ['*b3', '4'], 'b7'), 'F#:hdim7(*b3,4)/b7') ... ok test_chord.test_rotate_bitmaps_to_roots([[1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0]], [0], [[1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0]]) ... ok test_chord.test_rotate_bitmaps_to_roots([[1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0]], [5], [[1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0]]) ... ok test_chord.test_rotate_bitmaps_to_roots([[1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0]], [11], [[0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1]]) ... ok test_chord.test_encode('B:maj(*1,*3)/5', 11, [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], 7, False, False) ... ok test_chord.test_encode('G:dim', 7, [1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0], 0, False, False) ... ok test_chord.test_encode('C:(3)/3', 0, [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], 4, False, False) ... ok test_chord.test_encode('A:9/b3', 9, [1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0], 3, False, False) ... ok test_chord.test_encode(, ('G:dim(4)/6', False, True), ) ... ok test_chord.test_encode('G:dim(4)/6', 7, [1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0], 9, False, False) ... ok test_chord.test_encode('A:9', 9, [1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0], 0, True, False) ... ok test_chord.test_encode_many(['B:maj(*1,*3)/5', 'B:maj(*1,*3)/5', 'N', 'C:min', 'C:min'], [11, 11, -1, 0, 0], [[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], [1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0]], [7, 7, -1, 0, 0]) ... ok test_chord.test_mirex(, 'N', 'N', 1.0) ... ok test_chord.test_mirex(, 'C:maj', 'N', 0.0) ... ok test_chord.test_mirex(, 'C:maj', 'C:aug', 0.0) ... ok test_chord.test_mirex(, 'C:maj', 'C:dim', 0.0) ... ok test_chord.test_mirex(, 'C:min', 'C:dim', 0.0) ... ok test_chord.test_mirex(, 'C:maj', 'C:5', 0.0) ... ok test_chord.test_mirex(, 'C:maj', 'C:sus4', 0.0) ... ok test_chord.test_mirex(, 'G:min', 'G:sus2', 0.0) ... ok test_chord.test_mirex(, 'C:maj', 'G:maj', 0.0) ... ok test_chord.test_mirex(, 'C:min', 'C:hdim7', 0.0) ... ok test_chord.test_mirex(, 'C:min', 'C:min7', 1.0) ... ok test_chord.test_mirex(, 'C:maj', 'C:maj6', 1.0) ... ok test_chord.test_mirex(, 'F:maj', 'F:min6', 0.0) ... ok test_chord.test_mirex(, 'C:maj7', 'C:minmaj7', 1.0) ... ok test_chord.test_mirex(, 'A:maj', 'A:7', 1.0) ... ok test_chord.test_mirex(, 'A:maj', 'A:9', 1.0) ... ok test_chord.test_mirex(, 'C:5', 'C:maj') ... ok test_chord.test_mirex(, 'X', 'N') ... ok test_chord.test_thirds(, 'N', 'N', 1.0) ... ok test_chord.test_thirds(, 'C:maj', 'N', 0.0) ... ok test_chord.test_thirds(, 'C:maj', 'C:aug', 1.0) ... ok test_chord.test_thirds(, 'C:maj', 'C:dim', 0.0) ... ok test_chord.test_thirds(, 'C:min', 'C:dim', 1.0) ... ok test_chord.test_thirds(, 'C:maj', 'C:sus4', 1.0) ... ok test_chord.test_thirds(, 'G:min', 'G:sus2', 0.0) ... ok test_chord.test_thirds(, 'C:maj', 'G:maj', 0.0) ... ok test_chord.test_thirds(, 'C:min', 'C:hdim7', 1.0) ... ok test_chord.test_thirds(, 'C:min', 'C:min7', 1.0) ... ok test_chord.test_thirds(, 'C:maj', 'C:maj6', 1.0) ... ok test_chord.test_thirds(, 'F:maj', 'F:min6', 0.0) ... ok test_chord.test_thirds(, 'C:maj', 'C:minmaj7', 0.0) ... ok test_chord.test_thirds(, 'A:maj', 'A:7', 1.0) ... ok test_chord.test_thirds(, 'A:maj', 'A:9', 1.0) ... ok test_chord.test_thirds(, 'X', 'N') ... ok test_chord.test_thirds_inv(, 'C:maj/5', 'C:sus4/5', 1.0) ... ok test_chord.test_thirds_inv(, 'G:min', 'G:min/b3', 0.0) ... ok test_chord.test_thirds_inv(, 'C:maj', 'C:maj/5', 0.0) ... ok test_chord.test_thirds_inv(, 'C:min/b3', 'C:hdim7/b3', 1.0) ... ok test_chord.test_thirds_inv(, 'C:min', 'C:dim', 1.0) ... ok test_chord.test_thirds_inv(, 'X', 'N') ... ok test_chord.test_triads(, 'C:min', 'C:min7', 1.0) ... ok test_chord.test_triads(, 'C:maj', 'C:7', 1.0) ... ok test_chord.test_triads(, 'C:maj', 'C:aug', 0.0) ... ok test_chord.test_triads(, 'C:min', 'C:dim', 0.0) ... ok test_chord.test_triads(, 'C:maj', 'C:sus2', 0.0) ... ok test_chord.test_triads(, 'C:maj', 'C:sus4', 0.0) ... ok test_chord.test_triads(, 'G:min', 'G:minmaj7', 1.0) ... ok test_chord.test_triads(, 'C:maj', 'G:maj', 0.0) ... ok test_chord.test_triads(, 'C:min', 'C:hdim7', 0.0) ... ok test_chord.test_triads(, 'C:min', 'C:min6', 1.0) ... ok test_chord.test_triads(, 'X', 'N') ... ok test_chord.test_triads_inv(, 'C:maj/5', 'C:maj7/5', 1.0) ... ok test_chord.test_triads_inv(, 'G:min', 'G:min7/5', 0.0) ... ok test_chord.test_triads_inv(, 'C:maj', 'C:7/5', 0.0) ... ok test_chord.test_triads_inv(, 'C:min/b3', 'C:min6/b3', 1.0) ... ok test_chord.test_triads_inv(, 'C:min/b3', 'C:dim/b3', 0.0) ... ok test_chord.test_triads_inv(, 'X', 'N') ... ok test_chord.test_tetrads(, 'C:min', 'C:min7', 0.0) ... ok test_chord.test_tetrads(, 'C:maj', 'C:maj6', 0.0) ... ok test_chord.test_tetrads(, 'C:7', 'C:9', 1.0) ... ok test_chord.test_tetrads(, 'C:maj7', 'C:maj7/5', 1.0) ... ok test_chord.test_tetrads(, 'C:sus2', 'C:sus2/2', 1.0) ... ok test_chord.test_tetrads(, 'C:7/3', 'C:11/b7', 1.0) ... ok test_chord.test_tetrads(, 'G:min', 'G:sus2', 0.0) ... ok test_chord.test_tetrads(, 'C:maj', 'G:maj', 0.0) ... ok test_chord.test_tetrads(, 'C:min', 'C:hdim7', 0.0) ... ok test_chord.test_tetrads(, 'C:min', 'C:minmaj7', 0.0) ... ok test_chord.test_tetrads(, 'X', 'N') ... ok test_chord.test_tetrads_inv(, 'C:maj7/5', 'C:maj7/3', 0.0) ... ok test_chord.test_tetrads_inv(, 'G:min', 'G:min/b3', 0.0) ... ok test_chord.test_tetrads_inv(, 'C:7/5', 'C:13/5', 1.0) ... ok test_chord.test_tetrads_inv(, 'C:min/b3', 'C:hdim7/b3', 0.0) ... ok test_chord.test_tetrads_inv(, 'C:min9', 'C:min7', 1.0) ... ok test_chord.test_tetrads_inv(, 'X', 'N') ... ok test_chord.test_majmin(, 'N', 'N', 1.0) ... ok test_chord.test_majmin(, 'C:maj', 'N', 0.0) ... ok test_chord.test_majmin(, 'C:maj', 'C:aug', 0.0) ... ok test_chord.test_majmin(, 'C:min', 'C:dim', 0.0) ... ok test_chord.test_majmin(, 'G:maj7', 'G', 1.0) ... ok test_chord.test_majmin(, 'C:aug', 'C:maj') ... ok test_chord.test_majmin(, 'X', 'N') ... ok test_chord.test_majmin_inv(, 'C:maj/5', 'C:sus4/5', 0.0) ... ok test_chord.test_majmin_inv(, 'G:min', 'G:min/b3', 0.0) ... ok test_chord.test_majmin_inv(, 'C:maj/5', 'C:maj/5', 1.0) ... ok test_chord.test_majmin_inv(, 'C:min7', 'C:min', 1.0) ... ok test_chord.test_majmin_inv(, 'G:min/b3', 'G:min/b3', 1.0) ... ok test_chord.test_majmin_inv(, 'C:maj7/5', 'C:maj/5', 1.0) ... ok test_chord.test_majmin_inv(, 'C:7', 'C:maj', 1.0) ... ok test_chord.test_majmin_inv(, 'C:hdim7/b3', 'C:min/b3') ... ok test_chord.test_majmin_inv(, 'C:maj/4', 'C:maj/4') ... ok test_chord.test_majmin_inv(, 'C:maj/2', 'C:sus2/2') ... ok test_chord.test_majmin_inv(, 'X', 'N') ... ok test_chord.test_sevenths(, 'C:min', 'C:min7', 0.0) ... ok test_chord.test_sevenths(, 'C:maj', 'C:maj6', 0.0) ... ok test_chord.test_sevenths(, 'C:7', 'C:9', 1.0) ... ok test_chord.test_sevenths(, 'C:maj7', 'C:maj7/5', 1.0) ... ok test_chord.test_sevenths(, 'C:7/3', 'C:11/b7', 1.0) ... ok test_chord.test_sevenths(, 'G:min', 'G:sus2', 0.0) ... ok test_chord.test_sevenths(, 'C:maj', 'G:maj', 0.0) ... ok test_chord.test_sevenths(, 'C:7', 'C:maj7', 0.0) ... ok test_chord.test_sevenths(, 'C:sus2', 'C:sus2/2') ... ok test_chord.test_sevenths(, 'C:hdim7', 'C:hdim7') ... ok test_chord.test_sevenths(, 'X', 'N') ... ok test_chord.test_sevenths_inv(, 'C:maj7/5', 'C:maj7/3', 0.0) ... ok test_chord.test_sevenths_inv(, 'G:min', 'G:min/b3', 0.0) ... ok test_chord.test_sevenths_inv(, 'C:7/5', 'C:13/5', 1.0) ... ok test_chord.test_sevenths_inv(, 'C:min7/b7', 'C:min7/b7', 1.0) ... ok test_chord.test_sevenths_inv(, 'C:dim7/b3', 'C:dim7/b3') ... ok test_chord.test_sevenths_inv(, 'X', 'N') ... ok test_chord.test_directional_hamming_distance ... ok test_chord.test_segmentation_functions ... ok test_chord.test_merge_chord_intervals ... ok test_chord.test_weighted_accuracy ... ok test_chord.test_chord_functions('data/chord/output00.json', 'thirds', 0.7631405077292747, 0.7631405077292746) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'thirds_inv', 0.7408478569113104, 0.7408478569113103) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'triads', 0.7631405077292747, 0.7631405077292746) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'triads_inv', 0.7408478569113104, 0.7408478569113103) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'tetrads', 0.7435030548386229, 0.7435030548386228) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'tetrads_inv', 0.7212104040206586, 0.7212104040206584) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'root', 0.8027692749305277, 0.8027692749305276) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'mirex', 0.7631405077292747, 0.7631405077292746) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'majmin', 0.7631405077292747, 0.7631405077292746) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'majmin_inv', 0.7408478569113104, 0.7408478569113103) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'sevenths', 0.7435030548386229, 0.7435030548386228) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'sevenths_inv', 0.7212104040206586, 0.7212104040206584) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'underseg', 0.9002735620977309, 0.900273562098) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'overseg', 0.7808280109771284, 0.780828010977) ... ok test_chord.test_chord_functions('data/chord/output00.json', 'seg', 0.7808280109771284, 0.780828010977) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'thirds', 0.22577236387590616, 0.2257723638759061) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'thirds_inv', 0.22577236387590616, 0.2257723638759061) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'triads', 0.13168315063682914, 0.13168315063682912) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'triads_inv', 0.13168315063682914, 0.13168315063682912) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'tetrads', 0.13168315063682914, 0.13168315063682912) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'tetrads_inv', 0.13168315063682914, 0.13168315063682912) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'root', 0.8829790209790208, 0.8829790209790208) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'mirex', 0.7339244654414367, 0.7339244654414369) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'majmin', 0.7339244654414367, 0.7339244654414369) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'majmin_inv', 0.7339244654414367, 0.7339244654414369) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'sevenths', 0.7339244654414367, 0.7339244654414369) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'sevenths_inv', 0.7339244654414367, 0.7339244654414369) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'underseg', 0.897004020502658, 0.897004020503) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'overseg', 0.6445748529399753, 0.64457485294) ... ok test_chord.test_chord_functions('data/chord/output01.json', 'seg', 0.6445748529399753, 0.64457485294) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'thirds', 0.6223524123097268, 0.6223524123097275) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'thirds_inv', 0.5999746953382867, 0.5999746953382874) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'triads', 0.6223524123097268, 0.6223524123097275) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'triads_inv', 0.5999746953382867, 0.5999746953382874) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'tetrads', 0.5983298923269154, 0.598329892326916) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'tetrads_inv', 0.5983298923269154, 0.598329892326916) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'root', 0.7387462764540124, 0.7387462764540128) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'mirex', 0.6223524123097268, 0.6223524123097275) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'majmin', 0.6223524123097268, 0.6223524123097275) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'majmin_inv', 0.5999746953382867, 0.5999746953382874) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'sevenths', 0.5983298923269154, 0.598329892326916) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'sevenths_inv', 0.5983298923269154, 0.598329892326916) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'underseg', 0.9478496576582459, 0.947849657658) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'overseg', 0.5865381531911564, 0.586538153191) ... ok test_chord.test_chord_functions('data/chord/output02.json', 'seg', 0.5865381531911564, 0.586538153191) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'thirds', 0.7201366191080885, 0.7201366191080888) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'thirds_inv', 0.6752525345964724, 0.6752525345964725) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'triads', 0.5512019507676424, 0.551201950767642) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'triads_inv', 0.53919658590026, 0.5391965859002595) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'tetrads', 0.318404821458786, 0.3184048214587859) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'tetrads_inv', 0.30639945659140355, 0.30639945659140355) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'root', 0.7716964705359568, 0.7716964705359571) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'mirex', 0.6051802690273274, 0.6051802690273274) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'majmin', 0.7413882556791322, 0.7413882556791317) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'majmin_inv', 0.7252405687824792, 0.7252405687824788) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'sevenths', 0.4282669806454767, 0.4282669806454767) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'sevenths_inv', 0.4121192937488237, 0.41211929374882367) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'underseg', 0.927533878650425, 0.92753387865) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'overseg', 0.8586061599410694, 0.858606159941) ... ok test_chord.test_chord_functions('data/chord/output03.json', 'seg', 0.8586061599410694, 0.858606159941) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'thirds', 0.6137731697536011, 0.6137731697536012) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'thirds_inv', 0.5476024059043909, 0.5476024059043909) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'triads', 0.6137731697536011, 0.6137731697536012) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'triads_inv', 0.5476024059043909, 0.5476024059043909) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'tetrads', 0.5421640126955285, 0.5421640126955286) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'tetrads_inv', 0.48493654010175835, 0.48493654010175835) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'root', 0.6137731697536011, 0.6137731697536012) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'mirex', 0.7095497543250908, 0.7095497543250909) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'majmin', 0.7418724213491377, 0.7418724213491377) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'majmin_inv', 0.6618913025605095, 0.6618913025605094) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'sevenths', 0.6743789407082055, 0.6743789407082054) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'sevenths_inv', 0.6031956798434386, 0.6031956798434386) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'underseg', 0.5513954079852179, 0.551395407985) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'overseg', 0.9428018589036088, 0.942801858904) ... ok test_chord.test_chord_functions('data/chord/output04.json', 'seg', 0.5513954079852179, 0.551395407985) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'thirds', 0.548055080519221, 0.5480550805192208) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'thirds_inv', 0.5390893789674157, 0.5390893789674155) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'triads', 0.5411086020794219, 0.5411086020794218) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'triads_inv', 0.5321429005276166, 0.5321429005276166) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'tetrads', 0.5411086020794219, 0.5411086020794218) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'tetrads_inv', 0.5321429005276166, 0.5321429005276166) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'root', 0.6175448352564992, 0.6175448352564988) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'mirex', 0.5411086020794219, 0.5411086020794218) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'majmin', 0.5513936617291983, 0.5513936617291981) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'majmin_inv', 0.5422575456341607, 0.5422575456341606) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'sevenths', 0.5513936617291983, 0.5513936617291981) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'sevenths_inv', 0.5422575456341607, 0.5422575456341606) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'underseg', 0.6231820580688614, 0.623182058069) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'overseg', 0.7129416544401982, 0.71294165444) ... ok test_chord.test_chord_functions('data/chord/output05.json', 'seg', 0.6231820580688614, 0.623182058069) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'thirds', 0.8623366578535061, 0.8623366578535059) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'thirds_inv', 0.8520003770074427, 0.8520003770074426) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'triads', 0.8623366578535061, 0.8623366578535059) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'triads_inv', 0.8520003770074427, 0.8520003770074426) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'tetrads', 0.6875244222483357, 0.6875244222483358) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'tetrads_inv', 0.6771881414022722, 0.6771881414022723) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'root', 0.8623366578535061, 0.8623366578535059) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'mirex', 0.8749840775558172, 0.874984077555817) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'majmin', 0.8623366578535061, 0.8623366578535059) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'majmin_inv', 0.8520003770074427, 0.8520003770074426) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'sevenths', 0.6875244222483357, 0.6875244222483358) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'sevenths_inv', 0.6771881414022722, 0.6771881414022723) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'underseg', 0.8879559831570705, 0.887955983157) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'overseg', 0.8786308166862518, 0.878630816686) ... ok test_chord.test_chord_functions('data/chord/output06.json', 'seg', 0.8786308166862518, 0.878630816686) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'thirds', 0.7941268285714282, 0.7941268285714279) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'thirds_inv', 0.5825769999999999, 0.5825769999999998) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'triads', 0.7869349918367345, 0.7869349918367341) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'triads_inv', 0.575385163265306, 0.5753851632653059) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'tetrads', 0.6506733183673465, 0.6506733183673462) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'tetrads_inv', 0.47650731020408155, 0.4765073102040815) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'root', 0.8004778857142855, 0.8004778857142851) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'mirex', 0.8428942122448977, 0.8428942122448974) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'majmin', 0.8106932680178283, 0.8106932680178284) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'majmin_inv', 0.5927565595828777, 0.5927565595828778) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'sevenths', 0.6977285304522418, 0.6977285304522419) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'sevenths_inv', 0.49373832106319915, 0.49373832106319904) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'underseg', 0.9023036693877546, 0.902303669388) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'overseg', 0.9005985795918362, 0.900598579592) ... ok test_chord.test_chord_functions('data/chord/output07.json', 'seg', 0.9005985795918362, 0.900598579592) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'thirds', 0.58387551023365, 0.5838755102336486) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'thirds_inv', 0.58387551023365, 0.5838755102336486) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'triads', 0.5189883333681502, 0.518988333368149) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'triads_inv', 0.5189883333681502, 0.518988333368149) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'tetrads', 0.4643290022896502, 0.46432900228964935) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'tetrads_inv', 0.4643290022896502, 0.46432900228964935) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'root', 0.7090249093148001, 0.7090249093147981) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'mirex', 0.6173765467392508, 0.6173765467392511) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'majmin', 0.6173765467392508, 0.6173765467392511) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'majmin_inv', 0.6173765467392508, 0.6173765467392511) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'sevenths', 0.5523550676448757, 0.5523550676448759) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'sevenths_inv', 0.5523550676448757, 0.5523550676448759) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'underseg', 0.9435612018157499, 0.943561201816) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'overseg', 0.5546326530776999, 0.554632653078) ... ok test_chord.test_chord_functions('data/chord/output08.json', 'seg', 0.5546326530776999, 0.554632653078) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'thirds', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'thirds_inv', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'triads', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'triads_inv', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'tetrads', 0.23258851286870408, 0.23258851286870402) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'tetrads_inv', 0.23258851286870408, 0.23258851286870402) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'root', 0.8072983839818179, 0.8072983839818194) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'mirex', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'majmin', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'majmin_inv', 0.7962928556965015, 0.7962928556965031) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'sevenths', 0.23258851286870408, 0.23258851286870402) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'sevenths_inv', 0.23258851286870408, 0.23258851286870402) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'underseg', 0.9851019432270632, 0.985101943227) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'overseg', 0.26999055082625334, 0.269990550826) ... ok test_chord.test_chord_functions('data/chord/output09.json', 'seg', 0.26999055082625334, 0.269990550826) ... ok test_chord.test_quality_to_bitmap(, ('maj5',), ) ... ok test_chord.test_quality_to_bitmap(, ('2',), ) ... ok test_chord.test_quality_to_bitmap(, ('#7',), ) ... ok test_chord.test_validate ... ok test_hierarchy.test_tmeasure_pass(5, 0.1) ... ok test_hierarchy.test_tmeasure_pass(5, 0.5) ... ok test_hierarchy.test_tmeasure_pass(5, 1.0) ... ok test_hierarchy.test_tmeasure_pass(10, 0.1) ... ok test_hierarchy.test_tmeasure_pass(10, 0.5) ... ok test_hierarchy.test_tmeasure_pass(10, 1.0) ... ok test_hierarchy.test_tmeasure_pass(15, 0.1) ... ok test_hierarchy.test_tmeasure_pass(15, 0.5) ... ok test_hierarchy.test_tmeasure_pass(15, 1.0) ... ok test_hierarchy.test_tmeasure_pass(30, 0.1) ... ok test_hierarchy.test_tmeasure_pass(30, 0.5) ... ok test_hierarchy.test_tmeasure_pass(30, 1.0) ... ok test_hierarchy.test_tmeasure_pass(90, 0.1) ... ok test_hierarchy.test_tmeasure_pass(90, 0.5) ... ok test_hierarchy.test_tmeasure_pass(90, 1.0) ... ok test_hierarchy.test_tmeasure_pass(None, 0.1) ... ok test_hierarchy.test_tmeasure_pass(None, 0.5) ... ok test_hierarchy.test_tmeasure_pass(None, 1.0) ... ok test_hierarchy.test_tmeasure_warning ... ok test_hierarchy.test_tmeasure_fail_span([array([[ 1, 10]]), array([[ 1, 5], ... ok test_hierarchy.test_tmeasure_fail_span([array([[0, 5]]), array([[0, 5], ... ok test_hierarchy.test_tmeasure_fail_span([array([[ 0, 10]]), array([[ 0, 5], ... ok test_hierarchy.test_tmeasure_fail_frame_size(None, -1) ... ok test_hierarchy.test_tmeasure_fail_frame_size(None, 0) ... ok test_hierarchy.test_tmeasure_fail_frame_size(15, -1) ... ok test_hierarchy.test_tmeasure_fail_frame_size(15, 0) ... ok test_hierarchy.test_tmeasure_fail_frame_size(15, 30) ... ok test_hierarchy.test_tmeasure_fail_frame_size(30, -1) ... ok test_hierarchy.test_tmeasure_fail_frame_size(30, 0) ... ok test_hierarchy.test_tmeasure_fail_frame_size(30, 60) ... ok test_hierarchy.test_lmeasure_pass(0.1,) ... ok test_hierarchy.test_lmeasure_pass(0.5,) ... ok test_hierarchy.test_lmeasure_pass(1.0,) ... ok test_hierarchy.test_lmeasure_warning ... ok test_hierarchy.test_lmeasure_fail_span([array([[ 1, 10]]), array([[ 1, 5], ... ok test_hierarchy.test_lmeasure_fail_span([array([[0, 5]]), array([[0, 5], ... ok test_hierarchy.test_lmeasure_fail_span([array([[ 0, 10]]), array([[ 0, 5], ... ok test_hierarchy.test_lmeasure_fail_frame_size(-1,) ... ok test_hierarchy.test_lmeasure_fail_frame_size(0,) ... ok test_hierarchy.test_hierarchy_regression(5.0, [array([[ 0. , 0.441], ... ok test_hierarchy.test_hierarchy_regression(15.0, [array([[ 0. , 0.441], ... ok test_hierarchy.test_hierarchy_regression(30.0, [array([[ 0. , 0.441], ... ok test_hierarchy.test_count_inversions ... ok test_hierarchy.test_meet ... ok test_hierarchy.test_compare_frame_rankings ... ok test_input_output.test_load_delimited ... ok test_input_output.test_load_delimited_commented ... ok test_input_output.test_load_delimited_nocomment ... ok test_input_output.test_load_events ... ok test_input_output.test_load_labeled_events ... ok test_input_output.test_load_intervals ... ok test_input_output.test_load_labeled_intervals ... ok test_input_output.test_load_valued_intervals ... ok test_input_output.test_load_ragged_time_series ... ok test_input_output.test_load_tempo ... ok test_input_output.test_load_tempo_multiline ... ok test_input_output.test_load_tempo_badweight ... ok test_input_output.test_load_bad_tempi ... ok test_key.test_key_functions(,) ... ok test_key.test_key_functions('data/key/output00.json', 'Weighted Score', 1.0, 1.0) ... ok test_key.test_key_functions('data/key/output01.json', 'Weighted Score', 1.0, 1.0) ... ok test_key.test_key_functions('data/key/output02.json', 'Weighted Score', 0.5, 0.5) ... ok test_key.test_key_functions('data/key/output03.json', 'Weighted Score', 0.0, 0.0) ... ok test_key.test_key_functions('data/key/output04.json', 'Weighted Score', 0.3, 0.3) ... ok test_key.test_key_functions('data/key/output05.json', 'Weighted Score', 0.3, 0.3) ... ok test_key.test_key_functions('data/key/output06.json', 'Weighted Score', 0.2, 0.2) ... ok test_key.test_key_functions('data/key/output07.json', 'Weighted Score', 0.2, 0.2) ... ok test_key.test_key_functions('data/key/output08.json', 'Weighted Score', 0.0, 0.0) ... ok test_key.test_key_functions('data/key/output09.json', 'Weighted Score', 0.0, 0.0) ... ok test_melody.test_hz2cents ... ok test_melody.test_freq_to_voicing ... ok test_melody.test_constant_hop_timebase ... ok test_melody.test_resample_melody_series ... ok test_melody.test_resample_melody_series_same_times ... ok test_melody.test_to_cent_voicing ... ok test_melody.test_continuous_voicing_metrics ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/melody.py:89: UserWarning: Reference melody has no voiced frames. warnings.warn("Reference melody has no voiced frames.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/melody.py:89: UserWarning: Reference melody has no voiced frames. warnings.warn("Reference melody has no voiced frames.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/melody.py:89: UserWarning: Reference melody has no voiced frames. warnings.warn("Reference melody has no voiced frames.") ok test_melody.test_melody_functions(,) ... ok test_melody.test_melody_functions(,) ... ok test_melody.test_melody_functions(,) ... ok test_melody.test_melody_functions(,) ... ok test_melody.test_melody_functions('data/melody/output00.json', 'Voicing Recall', 0.9765342960288809, 0.9765342960288809) ... ok test_melody.test_melody_functions('data/melody/output00.json', 'Voicing False Alarm', 0.03248259860788863, 0.03248259860788863) ... ok test_melody.test_melody_functions('data/melody/output00.json', 'Raw Pitch Accuracy', 0.964259927797834, 0.964259927797834) ... ok test_melody.test_melody_functions('data/melody/output00.json', 'Raw Chroma Accuracy', 0.964259927797834, 0.964259927797834) ... ok test_melody.test_melody_functions('data/melody/output00.json', 'Overall Accuracy', 0.963931718061674, 0.963931718061674) ... ok test_melody.test_melody_functions('data/melody/output01.json', 'Voicing Recall', 0.9023622047244094, 0.9023622047244094) ... ok test_melody.test_melody_functions('data/melody/output01.json', 'Voicing False Alarm', 0.03577235772357724, 0.03577235772357724) ... ok test_melody.test_melody_functions('data/melody/output01.json', 'Raw Pitch Accuracy', 0.9448818897637795, 0.9448818897637795) ... ok test_melody.test_melody_functions('data/melody/output01.json', 'Raw Chroma Accuracy', 0.9448818897637795, 0.9448818897637795) ... ok test_melody.test_melody_functions('data/melody/output01.json', 'Overall Accuracy', 0.9055408970976253, 0.9055408970976253) ... ok test_melody.test_melody_functions('data/melody/output02.json', 'Voicing Recall', 0.8171595168679717, 0.8171595168679717) ... ok test_melody.test_melody_functions('data/melody/output02.json', 'Voicing False Alarm', 0.17938931297709923, 0.17938931297709923) ... ok test_melody.test_melody_functions('data/melody/output02.json', 'Raw Pitch Accuracy', 0.7634319033735943, 0.7634319033735943) ... ok test_melody.test_melody_functions('data/melody/output02.json', 'Raw Chroma Accuracy', 0.7634319033735943, 0.7634319033735943) ... ok test_melody.test_melody_functions('data/melody/output02.json', 'Overall Accuracy', 0.7645512579797221, 0.7645512579797221) ... ok test_melody.test_melody_functions('data/melody/output03.json', 'Voicing Recall', 0.8347045624532535, 0.8347045624532535) ... ok test_melody.test_melody_functions('data/melody/output03.json', 'Voicing False Alarm', 0.08333333333333333, 0.08333333333333333) ... ok test_melody.test_melody_functions('data/melody/output03.json', 'Raw Pitch Accuracy', 0.8900523560209425, 0.8900523560209425) ... ok test_melody.test_melody_functions('data/melody/output03.json', 'Raw Chroma Accuracy', 0.8900523560209425, 0.8900523560209425) ... ok test_melody.test_melody_functions('data/melody/output03.json', 'Overall Accuracy', 0.8395845354875938, 0.8395845354875938) ... ok test_melody.test_melody_functions('data/melody/output04.json', 'Voicing Recall', 0.5519667412855772, 0.5519667412855772) ... ok test_melody.test_melody_functions('data/melody/output04.json', 'Voicing False Alarm', 0.0, 0.0) ... ok test_melody.test_melody_functions('data/melody/output04.json', 'Raw Pitch Accuracy', 0.5311800447713464, 0.5311800447713464) ... ok test_melody.test_melody_functions('data/melody/output04.json', 'Raw Chroma Accuracy', 0.5890629996802047, 0.5890629996802047) ... ok test_melody.test_melody_functions('data/melody/output04.json', 'Overall Accuracy', 0.48461074230537116, 0.48461074230537116) ... ok test_melody.test_melody_functions('data/melody/output05.json', 'Voicing Recall', 0.588537839823659, 0.588537839823659) ... ok test_melody.test_melody_functions('data/melody/output05.json', 'Voicing False Alarm', 0.03904923599320883, 0.03904923599320883) ... ok test_melody.test_melody_functions('data/melody/output05.json', 'Raw Pitch Accuracy', 0.692505510653931, 0.692505510653931) ... ok test_melody.test_melody_functions('data/melody/output05.json', 'Raw Chroma Accuracy', 0.713078618662748, 0.713078618662748) ... ok test_melody.test_melody_functions('data/melody/output05.json', 'Overall Accuracy', 0.6372697070371489, 0.6372697070371489) ... ok test_melody.test_melody_functions('data/melody/output06.json', 'Voicing Recall', 0.7999075785582255, 0.7999075785582255) ... ok test_melody.test_melody_functions('data/melody/output06.json', 'Voicing False Alarm', 0.14705882352941177, 0.14705882352941177) ... ok test_melody.test_melody_functions('data/melody/output06.json', 'Raw Pitch Accuracy', 0.7527726432532348, 0.7527726432532348) ... ok test_melody.test_melody_functions('data/melody/output06.json', 'Raw Chroma Accuracy', 0.7527726432532348, 0.7527726432532348) ... ok test_melody.test_melody_functions('data/melody/output06.json', 'Overall Accuracy', 0.7219020172910663, 0.7219020172910663) ... ok test_melody.test_melody_functions('data/melody/output07.json', 'Voicing Recall', 0.6931372549019608, 0.6931372549019608) ... ok test_melody.test_melody_functions('data/melody/output07.json', 'Voicing False Alarm', 0.14507772020725387, 0.14507772020725387) ... ok test_melody.test_melody_functions('data/melody/output07.json', 'Raw Pitch Accuracy', 0.453921568627451, 0.453921568627451) ... ok test_melody.test_melody_functions('data/melody/output07.json', 'Raw Chroma Accuracy', 0.6228758169934641, 0.6228758169934641) ... ok test_melody.test_melody_functions('data/melody/output07.json', 'Overall Accuracy', 0.4503772489843297, 0.4503772489843297) ... ok test_melody.test_melody_functions('data/melody/output08.json', 'Voicing Recall', 0.8157579388855603, 0.8157579388855603) ... ok test_melody.test_melody_functions('data/melody/output08.json', 'Voicing False Alarm', 0.018633540372670808, 0.018633540372670808) ... ok test_melody.test_melody_functions('data/melody/output08.json', 'Raw Pitch Accuracy', 0.7369682444577591, 0.7369682444577591) ... ok test_melody.test_melody_functions('data/melody/output08.json', 'Raw Chroma Accuracy', 0.8400239664469742, 0.8400239664469742) ... ok test_melody.test_melody_functions('data/melody/output08.json', 'Overall Accuracy', 0.7403820989269825, 0.7403820989269825) ... ok test_melody.test_melody_functions('data/melody/output09.json', 'Voicing Recall', 0.8605166051660517, 0.8605166051660517) ... ok test_melody.test_melody_functions('data/melody/output09.json', 'Voicing False Alarm', 0.07859078590785908, 0.07859078590785908) ... ok test_melody.test_melody_functions('data/melody/output09.json', 'Raw Pitch Accuracy', 0.8018450184501845, 0.8018450184501845) ... ok test_melody.test_melody_functions('data/melody/output09.json', 'Raw Chroma Accuracy', 0.8457564575645756, 0.8457564575645756) ... ok test_melody.test_melody_functions('data/melody/output09.json', 'Overall Accuracy', 0.7877030162412993, 0.7877030162412993) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence(,) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence(,) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence(,) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence(,) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output00.json', 'Voicing Recall', 0.9765342960288809, 0.9765342960288809) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output00.json', 'Voicing False Alarm', 0.03248259860788863, 0.03248259860788863) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output00.json', 'Raw Pitch Accuracy', 0.964259927797834, 0.964259927797834) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output00.json', 'Raw Chroma Accuracy', 0.964259927797834, 0.964259927797834) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output00.json', 'Overall Accuracy', 0.963931718061674, 0.963931718061674) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output01.json', 'Voicing Recall', 0.9023622047244094, 0.9023622047244094) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output01.json', 'Voicing False Alarm', 0.03577235772357724, 0.03577235772357724) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output01.json', 'Raw Pitch Accuracy', 0.9448818897637795, 0.9448818897637795) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output01.json', 'Raw Chroma Accuracy', 0.9448818897637795, 0.9448818897637795) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output01.json', 'Overall Accuracy', 0.9055408970976253, 0.9055408970976253) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output02.json', 'Voicing Recall', 0.8171595168679717, 0.8171595168679717) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output02.json', 'Voicing False Alarm', 0.17938931297709923, 0.17938931297709923) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output02.json', 'Raw Pitch Accuracy', 0.7634319033735943, 0.7634319033735943) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output02.json', 'Raw Chroma Accuracy', 0.7634319033735943, 0.7634319033735943) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output02.json', 'Overall Accuracy', 0.7645512579797221, 0.7645512579797221) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output03.json', 'Voicing Recall', 0.8347045624532535, 0.8347045624532535) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output03.json', 'Voicing False Alarm', 0.08333333333333333, 0.08333333333333333) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output03.json', 'Raw Pitch Accuracy', 0.8900523560209425, 0.8900523560209425) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output03.json', 'Raw Chroma Accuracy', 0.8900523560209425, 0.8900523560209425) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output03.json', 'Overall Accuracy', 0.8395845354875938, 0.8395845354875938) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output04.json', 'Voicing Recall', 0.5519667412855772, 0.5519667412855772) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output04.json', 'Voicing False Alarm', 0.0, 0.0) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output04.json', 'Raw Pitch Accuracy', 0.5311800447713464, 0.5311800447713464) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output04.json', 'Raw Chroma Accuracy', 0.5890629996802047, 0.5890629996802047) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output04.json', 'Overall Accuracy', 0.48461074230537116, 0.48461074230537116) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output05.json', 'Voicing Recall', 0.588537839823659, 0.588537839823659) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output05.json', 'Voicing False Alarm', 0.03904923599320883, 0.03904923599320883) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output05.json', 'Raw Pitch Accuracy', 0.692505510653931, 0.692505510653931) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output05.json', 'Raw Chroma Accuracy', 0.713078618662748, 0.713078618662748) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output05.json', 'Overall Accuracy', 0.6372697070371489, 0.6372697070371489) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output06.json', 'Voicing Recall', 0.7999075785582255, 0.7999075785582255) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output06.json', 'Voicing False Alarm', 0.14705882352941177, 0.14705882352941177) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output06.json', 'Raw Pitch Accuracy', 0.7527726432532348, 0.7527726432532348) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output06.json', 'Raw Chroma Accuracy', 0.7527726432532348, 0.7527726432532348) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output06.json', 'Overall Accuracy', 0.7219020172910663, 0.7219020172910663) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output07.json', 'Voicing Recall', 0.6931372549019608, 0.6931372549019608) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output07.json', 'Voicing False Alarm', 0.14507772020725387, 0.14507772020725387) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output07.json', 'Raw Pitch Accuracy', 0.453921568627451, 0.453921568627451) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output07.json', 'Raw Chroma Accuracy', 0.6228758169934641, 0.6228758169934641) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output07.json', 'Overall Accuracy', 0.4503772489843297, 0.4503772489843297) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output08.json', 'Voicing Recall', 0.8157579388855603, 0.8157579388855603) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output08.json', 'Voicing False Alarm', 0.018633540372670808, 0.018633540372670808) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output08.json', 'Raw Pitch Accuracy', 0.7369682444577591, 0.7369682444577591) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output08.json', 'Raw Chroma Accuracy', 0.8400239664469742, 0.8400239664469742) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output08.json', 'Overall Accuracy', 0.7403820989269825, 0.7403820989269825) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output09.json', 'Voicing Recall', 0.8605166051660517, 0.8605166051660517) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output09.json', 'Voicing False Alarm', 0.07859078590785908, 0.07859078590785908) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output09.json', 'Raw Pitch Accuracy', 0.8018450184501845, 0.8018450184501845) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output09.json', 'Raw Chroma Accuracy', 0.8457564575645756, 0.8457564575645756) ... ok test_melody.test_melody_functions_continuous_voicing_equivalence('data/melody/output09.json', 'Overall Accuracy', 0.7877030162412993, 0.7877030162412993) ... ok test_multipitch.test_resample_multif0 ... ok test_multipitch.test_frequencies_to_midi ... ok test_multipitch.test_midi_to_chroma ... ok test_multipitch.test_compute_num_freqs ... ok test_multipitch.test_compute_num_true_positives ... ok test_multipitch.test_accuracy_metrics ... ok test_multipitch.test_error_score_metrics ... ok test_multipitch.unit_test_metrics ... ok test_multipitch.regression_test_evaluate ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py:410: UserWarning: Estimate times not equal to reference times. Resampling to common time base. warnings.warn("Estimate times not equal to reference times. " ok test_onset.test_onset_functions(,) ... ok test_onset.test_onset_functions('data/onset/output00.json', 'F-measure', 0.5306122448979591, 0.5306122448979591) ... ok test_onset.test_onset_functions('data/onset/output00.json', 'Precision', 0.48148148148148145, 0.48148148148148145) ... ok test_onset.test_onset_functions('data/onset/output00.json', 'Recall', 0.5909090909090909, 0.5909090909090909) ... ok test_onset.test_onset_functions('data/onset/output01.json', 'F-measure', 0.03278688524590164, 0.03278688524590164) ... ok test_onset.test_onset_functions('data/onset/output01.json', 'Precision', 0.3333333333333333, 0.3333333333333333) ... ok test_onset.test_onset_functions('data/onset/output01.json', 'Recall', 0.017241379310344827, 0.017241379310344827) ... ok test_onset.test_onset_functions('data/onset/output02.json', 'F-measure', 0.17582417582417584, 0.17582417582417584) ... ok test_onset.test_onset_functions('data/onset/output02.json', 'Precision', 0.2222222222222222, 0.2222222222222222) ... ok test_onset.test_onset_functions('data/onset/output02.json', 'Recall', 0.14545454545454545, 0.14545454545454545) ... ok test_onset.test_onset_functions('data/onset/output03.json', 'F-measure', 0.5, 0.5) ... ok test_onset.test_onset_functions('data/onset/output03.json', 'Precision', 0.4, 0.4) ... ok test_onset.test_onset_functions('data/onset/output03.json', 'Recall', 0.6666666666666666, 0.6666666666666666) ... ok test_onset.test_onset_functions('data/onset/output04.json', 'F-measure', 0.0, 0.0) ... ok test_onset.test_onset_functions('data/onset/output04.json', 'Precision', 0.0, 0.0) ... ok test_onset.test_onset_functions('data/onset/output04.json', 'Recall', 0.0, 0.0) ... ok test_onset.test_onset_functions('data/onset/output05.json', 'F-measure', 0.22222222222222224, 0.22222222222222224) ... ok test_onset.test_onset_functions('data/onset/output05.json', 'Precision', 0.2, 0.2) ... ok test_onset.test_onset_functions('data/onset/output05.json', 'Recall', 0.25, 0.25) ... ok test_onset.test_onset_functions('data/onset/output06.json', 'F-measure', 0.0909090909090909, 0.0909090909090909) ... ok test_onset.test_onset_functions('data/onset/output06.json', 'Precision', 0.1, 0.1) ... ok test_onset.test_onset_functions('data/onset/output06.json', 'Recall', 0.08333333333333333, 0.08333333333333333) ... ok test_onset.test_onset_functions('data/onset/output07.json', 'F-measure', 0.9523809523809523, 0.9523809523809523) ... ok test_onset.test_onset_functions('data/onset/output07.json', 'Precision', 1.0, 1.0) ... ok test_onset.test_onset_functions('data/onset/output07.json', 'Recall', 0.9090909090909091, 0.9090909090909091) ... ok test_onset.test_onset_functions('data/onset/output08.json', 'F-measure', 0.4210526315789474, 0.4210526315789474) ... ok test_onset.test_onset_functions('data/onset/output08.json', 'Precision', 0.36363636363636365, 0.36363636363636365) ... ok test_onset.test_onset_functions('data/onset/output08.json', 'Recall', 0.5, 0.5) ... ok test_onset.test_onset_functions('data/onset/output09.json', 'F-measure', 0.04838709677419355, 0.04838709677419355) ... ok test_onset.test_onset_functions('data/onset/output09.json', 'Precision', 0.05172413793103448, 0.05172413793103448) ... ok test_onset.test_onset_functions('data/onset/output09.json', 'Recall', 0.045454545454545456, 0.045454545454545456) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions(,) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'F', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'P', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'R', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'F_est', 0.3587878787878788, 0.3587878787878788) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'P_est', 0.4484848484848485, 0.4484848484848485) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'R_est', 0.298989898989899, 0.298989898989899) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'F_occ.5', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'P_occ.5', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'R_occ.5', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'F_occ.75', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'P_occ.75', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'R_occ.75', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'F_3', 0.16165324386492833, 0.16165324386492833) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'P_3', 0.20206655483116043, 0.20206655483116043) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'R_3', 0.13471103655410696, 0.13471103655410696) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'FFP', 0.20206655483116043, 0.20206655483116043) ... ok test_pattern.test_pattern_functions('data/pattern/output00.json', 'FFTP_est', 0.298989898989899, 0.298989898989899) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'F', 0.28571428571428575, 0.28571428571428575) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'P', 0.25, 0.25) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'R', 0.3333333333333333, 0.3333333333333333) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'F_est', 0.2524944875461219, 0.2524944875461219) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'P_est', 0.259270231028896, 0.259270231028896) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'R_est', 0.246063877642825, 0.246063877642825) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'F_occ.5', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'P_occ.5', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'R_occ.5', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'F_occ.75', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'P_occ.75', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'R_occ.75', 0, 0) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'F_3', 0.10211154049937549, 0.10211154049937549) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'P_3', 0.09465081687097977, 0.09465081687097977) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'R_3', 0.11084906966815376, 0.11084906966815376) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'FFP', 0.09465081687097977, 0.09465081687097977) ... ok test_pattern.test_pattern_functions('data/pattern/output01.json', 'FFTP_est', 0.246063877642825, 0.246063877642825) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'F', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'P', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'R', 0.0, 0.0) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'F_est', 0.5905947727378447, 0.5905947727378447) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'P_est', 0.5369606149027265, 0.5369606149027265) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'R_est', 0.6561323670375633, 0.6561323670375633) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'F_occ.5', 0.47732667346571606, 0.47732667346571606) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'P_occ.5', 0.5645593256508749, 0.5645593256508749) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'R_occ.5', 0.4134436047857754, 0.4134436047857754) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'F_occ.75', 0.47732667346571606, 0.47732667346571606) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'P_occ.75', 0.5645593256508749, 0.5645593256508749) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'R_occ.75', 0.4134436047857754, 0.4134436047857754) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'F_3', 0.3682908459543651, 0.3682908459543651) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'P_3', 0.33484219438176, 0.33484219438176) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'R_3', 0.4091637593847234, 0.4091637593847234) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'FFP', 0.46540500984993144, 0.46540500984993144) ... ok test_pattern.test_pattern_functions('data/pattern/output02.json', 'FFTP_est', 0.6083897684615014, 0.6083897684615014) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions(,) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Precision@0.5', 0.3333333333333333, 0.3333333333333333) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Recall@0.5', 0.6, 0.6) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'F-measure@0.5', 0.42857142857142855, 0.42857142857142855) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Precision@3.0', 0.5, 0.5) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Recall@3.0', 0.9, 0.9) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'F-measure@3.0', 0.6428571428571429, 0.6428571428571429) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Ref-to-est deviation', 0.3989999999999996, 0.3989999999999996) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Est-to-ref deviation', 2.8474999999999997, 2.8474999999999997) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Pairwise Precision', 0.8744274410225826, 0.8744274410225826) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Pairwise Recall', 0.4806828513199742, 0.4806828513199742) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Pairwise F-measure', 0.6203513883678935, 0.6203513883678935) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Rand Index', 0.8289077311831233, 0.8289077311831233) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Adjusted Rand Index', 0.5216688396951437, 0.5216688396951437) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Mutual Information', 1.1375211793868052, 1.1375211793868052) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Adjusted Mutual Information', 0.587379258678572, 0.587379258678572) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'Normalized Mutual Information', 0.6939260940391484, 0.6939260940391484) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'NCE Over', 0.6199174381303865, 0.6199174381303865) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'NCE Under', 0.8569466776016775, 0.8569466776016775) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'NCE F-measure', 0.719411059330737, 0.719411059330737) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'V Precision', 0.5900371377662859, 0.590037137766286) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'V Recall', 0.8161069755903478, 0.8161069755903478) ... ok test_segment.test_segment_functions('data/segment/output00.json', 'V-measure', 0.6848991073026666, 0.6848991073026666) ... ok test_segment.test_segment_functions('data/segment/output00.json', array([[ 0.383, 7.332], ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Precision@0.5', 0.5454545454545454, 0.5454545454545454) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Recall@0.5', 0.4, 0.4) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'F-measure@0.5', 0.4615384615384615, 0.4615384615384615) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Precision@3.0', 0.5454545454545454, 0.5454545454545454) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Recall@3.0', 0.4, 0.4) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'F-measure@3.0', 0.4615384615384615, 0.4615384615384615) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Ref-to-est deviation', 13.036000000000001, 13.036000000000001) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Est-to-ref deviation', 0.3359999999999985, 0.3359999999999985) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Pairwise Precision', 0.4993901657926098, 0.4993901657926098) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Pairwise Recall', 0.6122131984623336, 0.6122131984623336) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Pairwise F-measure', 0.5500761521812191, 0.5500761521812191) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Rand Index', 0.7541046088414509, 0.7541046088414509) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Adjusted Rand Index', 0.383287188265407, 0.383287188265407) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Mutual Information', 0.8298500378099933, 0.8298500378099933) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Adjusted Mutual Information', 0.5476970266015448, 0.5476970266015448) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'Normalized Mutual Information', 0.572695060137702, 0.572695060137702) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'NCE Over', 0.7123495615691823, 0.7123495615691824) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'NCE Under', 0.6198417839591657, 0.6198417839591657) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'NCE F-measure', 0.6628837884702737, 0.662883788470274) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'V Precision', 0.59718972940023, 0.59718972940023) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'V Recall', 0.5492050779833786, 0.5492050779833786) ... ok test_segment.test_segment_functions('data/segment/output01.json', 'V-measure', 0.572193156831662, 0.572193156831662) ... ok test_segment.test_segment_functions('data/segment/output01.json', array([[ 0.436, 111.316], ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Precision@0.5', 0.08333333333333333, 0.08333333333333333) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Recall@0.5', 0.18181818181818182, 0.18181818181818182) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'F-measure@0.5', 0.1142857142857143, 0.1142857142857143) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Precision@3.0', 0.20833333333333334, 0.20833333333333334) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Recall@3.0', 0.45454545454545453, 0.45454545454545453) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'F-measure@3.0', 0.28571428571428575, 0.28571428571428575) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Ref-to-est deviation', 2.4509999999999934, 2.4509999999999934) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Est-to-ref deviation', 7.9399999999999995, 7.9399999999999995) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Pairwise Precision', 0.2672317510709366, 0.2672317510709366) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Pairwise Recall', 0.8168035627504561, 0.8168035627504561) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Pairwise F-measure', 0.4027098445443217, 0.4027098445443217) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Rand Index', 0.5319929982495624, 0.5319929982495624) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Adjusted Rand Index', 0.15746191367518272, 0.15746191367518272) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Mutual Information', 0.5875580090173058, 0.5875580090173058) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Adjusted Mutual Information', 0.31916695064697315, 0.31916695064697315) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'Normalized Mutual Information', 0.4589766773608936, 0.4589766773608936) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'NCE Over', 0.840693801923244, 0.840693801923244) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'NCE Under', 0.4364389820106126, 0.4364389820106126) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'NCE F-measure', 0.5745863730219845, 0.5745863730219845) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'V Precision', 0.6546216709365502, 0.6546216709365502) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'V Recall', 0.32180356947221267, 0.32180356947221267) ... ok test_segment.test_segment_functions('data/segment/output02.json', 'V-measure', 0.4314914888375012, 0.4314914888375012) ... ok test_segment.test_segment_functions('data/segment/output02.json', array([[2.00000e-01, 7.69860e+01], ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Precision@0.5', 0.18181818181818182, 0.18181818181818182) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Recall@0.5', 0.15384615384615385, 0.15384615384615385) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'F-measure@0.5', 0.16666666666666669, 0.16666666666666669) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Precision@3.0', 0.5454545454545454, 0.5454545454545454) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Recall@3.0', 0.46153846153846156, 0.46153846153846156) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'F-measure@3.0', 0.4999999999999999, 0.4999999999999999) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Ref-to-est deviation', 2.832000000000008, 2.832000000000008) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Est-to-ref deviation', 1.6999999999999957, 1.6999999999999957) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Pairwise Precision', 0.7954247684219311, 0.7954247684219311) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Pairwise Recall', 0.20372577015066376, 0.20372577015066376) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Pairwise F-measure', 0.3243725890898819, 0.3243725890898819) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Rand Index', 0.6171646611901732, 0.6171646611901732) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Adjusted Rand Index', 0.17206814668546003, 0.17206814668546003) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Mutual Information', 0.7069980597186302, 0.7069980597186302) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Adjusted Mutual Information', 0.3228843702423049, 0.3228843702423049) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'Normalized Mutual Information', 0.4718348883991217, 0.4718348883991217) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'NCE Over', 0.36093183448445665, 0.36093183448445665) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'NCE Under', 0.7989240945963056, 0.7989240945963056) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'NCE F-measure', 0.4972292365742599, 0.4972292365742599) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'V Precision', 0.32453331344779024, 0.32453331344779024) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'V Recall', 0.6859947890878926, 0.6859947890878926) ... ok test_segment.test_segment_functions('data/segment/output03.json', 'V-measure', 0.44061745804392516, 0.44061745804392516) ... ok test_segment.test_segment_functions('data/segment/output03.json', array([[4.10000e-02, 5.47800e+00], ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Precision@0.5', 0.2, 0.2) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Recall@0.5', 0.5, 0.5) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'F-measure@0.5', 0.28571428571428575, 0.28571428571428575) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Precision@3.0', 0.3, 0.3) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Recall@3.0', 0.75, 0.75) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'F-measure@3.0', 0.4285714285714285, 0.4285714285714285) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Ref-to-est deviation', 0.28300000000000125, 0.28300000000000125) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Est-to-ref deviation', 5.5510000000000055, 5.5510000000000055) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Pairwise Precision', 0.9259504360795314, 0.9259504360795314) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Pairwise Recall', 0.35218495476813033, 0.35218495476813033) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Pairwise F-measure', 0.5102836753967455, 0.5102836753967455) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Rand Index', 0.7634802520108155, 0.7634802520108155) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Adjusted Rand Index', 0.3932978729758545, 0.3932978729758545) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Mutual Information', 0.9753774660402063, 0.9753774660402063) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Adjusted Mutual Information', 0.46809981616245017, 0.46809981616245017) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'Normalized Mutual Information', 0.6531566123520159, 0.6531566123520159) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'NCE Over', 0.49896823783207234, 0.4989682378320722) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'NCE Under', 0.9101726390597747, 0.9101726390597747) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'NCE F-measure', 0.6445732222832663, 0.6445732222832662) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'V Precision', 0.4697768990421939, 0.4697768990421939) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'V Recall', 0.9081194948686581, 0.9081194948686581) ... ok test_segment.test_segment_functions('data/segment/output04.json', 'V-measure', 0.619224438273351, 0.619224438273351) ... ok test_segment.test_segment_functions('data/segment/output04.json', array([[ 0. , 34.752], ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Precision@0.5', 0.38095238095238093, 0.38095238095238093) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Recall@0.5', 0.4444444444444444, 0.4444444444444444) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'F-measure@0.5', 0.41025641025641024, 0.41025641025641024) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Precision@3.0', 0.47619047619047616, 0.47619047619047616) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Recall@3.0', 0.5555555555555556, 0.5555555555555556) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'F-measure@3.0', 0.5128205128205129, 0.5128205128205129) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Ref-to-est deviation', 0.8845000000000027, 0.8845000000000027) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Est-to-ref deviation', 2.0920000000000414, 2.0920000000000414) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Pairwise Precision', 0.8936198585154119, 0.8936198585154119) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Pairwise Recall', 0.12923035832531626, 0.12923035832531626) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Pairwise F-measure', 0.22580591492517105, 0.22580591492517105) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Rand Index', 0.6057626818003455, 0.6057626818003455) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Adjusted Rand Index', 0.12775042299090225, 0.12775042299090225) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Mutual Information', 0.8118894611245795, 0.8118894611245795) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Adjusted Mutual Information', 0.2857955541041399, 0.2857955541041399) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'Normalized Mutual Information', 0.49582597324973304, 0.49582597324973304) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'NCE Over', 0.32765438933312685, 0.32765438933312685) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'NCE Under', 0.9012719390410426, 0.9012719390410426) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'NCE F-measure', 0.48059139102383136, 0.48059139102383136) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'V Precision', 0.28728701796701817, 0.28728701796701817) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'V Recall', 0.8557414027572561, 0.8557414027572561) ... ok test_segment.test_segment_functions('data/segment/output05.json', 'V-measure', 0.43016147506335445, 0.43016147506335445) ... ok test_segment.test_segment_functions('data/segment/output05.json', array([[3.72000e-01, 2.34900e+01], ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Precision@0.5', 0.6, 0.6) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Recall@0.5', 0.5, 0.5) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'F-measure@0.5', 0.5454545454545454, 0.5454545454545454) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Precision@3.0', 0.9, 0.9) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Recall@3.0', 0.75, 0.75) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'F-measure@3.0', 0.8181818181818182, 0.8181818181818182) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Ref-to-est deviation', 0.37199999999999966, 0.37199999999999966) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Est-to-ref deviation', 0.1349999999999978, 0.1349999999999978) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Pairwise Precision', 0.7930906509181269, 0.7930906509181269) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Pairwise Recall', 0.42685807583415836, 0.42685807583415836) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Pairwise F-measure', 0.5550022583559169, 0.5550022583559169) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Rand Index', 0.7779261688615399, 0.7779261688615399) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Adjusted Rand Index', 0.4242977075000336, 0.4242977075000336) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Mutual Information', 1.035858923763909, 1.035858923763909) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Adjusted Mutual Information', 0.5522348156967383, 0.5522348156967383) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'Normalized Mutual Information', 0.6674317823737799, 0.6674317823737799) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'NCE Over', 0.6238817066529372, 0.6238817066529372) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'NCE Under', 0.856245768212157, 0.856245768212157) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'NCE F-measure', 0.7218244107457634, 0.7218244107457634) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'V Precision', 0.5562329768516343, 0.5562329768516343) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'V Recall', 0.8008607951366766, 0.8008607951366766) ... ok test_segment.test_segment_functions('data/segment/output06.json', 'V-measure', 0.6564987524332658, 0.6564987524332658) ... ok test_segment.test_segment_functions('data/segment/output06.json', array([[ 0.384, 3.686], ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Precision@0.5', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Recall@0.5', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'F-measure@0.5', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Precision@3.0', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Recall@3.0', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'F-measure@3.0', 0.4166666666666667, 0.4166666666666667) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Ref-to-est deviation', 2.3029999999999973, 2.3029999999999973) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Est-to-ref deviation', 2.0904999999999916, 2.0904999999999916) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Pairwise Precision', 0.4223814364640884, 0.4223814364640884) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Pairwise Recall', 0.5491989347481521, 0.5491989347481521) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Pairwise F-measure', 0.47751363003359354, 0.47751363003359354) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Rand Index', 0.5964686214170435, 0.5964686214170435) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Adjusted Rand Index', 0.15784334203696132, 0.15784334203696132) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Mutual Information', 0.29666187029734625, 0.29666187029734625) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Adjusted Mutual Information', 0.2439028213895503, 0.2439028213895503) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'Normalized Mutual Information', 0.2842593987759491, 0.2842593987759491) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'NCE Over', 0.45120545761579733, 0.45120545761579733) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'NCE Under', 0.4320411658955198, 0.4320411658955198) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'NCE F-measure', 0.44141540262395995, 0.44141540262395995) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'V Precision', 0.32978028695038797, 0.32978028695038797) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'V Recall', 0.24502194033392954, 0.24502194033392954) ... ok test_segment.test_segment_functions('data/segment/output07.json', 'V-measure', 0.2811520274520297, 0.2811520274520297) ... ok test_segment.test_segment_functions('data/segment/output07.json', array([[ 0.488, 34.145], ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Precision@0.5', 0.36363636363636365, 0.36363636363636365) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Recall@0.5', 0.2, 0.2) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'F-measure@0.5', 0.25806451612903225, 0.25806451612903225) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Precision@3.0', 0.7272727272727273, 0.7272727272727273) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Recall@3.0', 0.4, 0.4) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'F-measure@3.0', 0.5161290322580645, 0.5161290322580645) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Ref-to-est deviation', 5.225, 5.225) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Est-to-ref deviation', 0.9710000000000036, 0.9710000000000036) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Pairwise Precision', 0.44839875095110193, 0.44839875095110193) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Pairwise Recall', 0.7850756399553728, 0.7850756399553728) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Pairwise F-measure', 0.5707892096558619, 0.5707892096558619) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Rand Index', 0.6475984889368591, 0.6475984889368591) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Adjusted Rand Index', 0.30779373726984793, 0.30779373726984793) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Mutual Information', 0.4046609393909751, 0.4046609393909751) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Adjusted Mutual Information', 0.29558782096748565, 0.29558782096748565) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'Normalized Mutual Information', 0.3794279546668087, 0.3794279546668087) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'NCE Over', 0.6084725966142581, 0.6084725966142581) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'NCE Under', 0.4654090955931628, 0.4654090955931627) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'NCE F-measure', 0.5274113208902106, 0.5274113208902106) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'V Precision', 0.4847412878552114, 0.4847412878552114) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'V Recall', 0.296994657541198, 0.2969946575411979) ... ok test_segment.test_segment_functions('data/segment/output08.json', 'V-measure', 0.368322765840413, 0.3683227658404129) ... ok test_segment.test_segment_functions('data/segment/output08.json', array([[1.39000e-01, 5.41000e+00], ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Precision@0.5', 0.18181818181818182, 0.18181818181818182) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Recall@0.5', 0.18181818181818182, 0.18181818181818182) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'F-measure@0.5', 0.18181818181818182, 0.18181818181818182) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Precision@3.0', 0.45454545454545453, 0.45454545454545453) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Recall@3.0', 0.45454545454545453, 0.45454545454545453) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'F-measure@3.0', 0.45454545454545453, 0.45454545454545453) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Ref-to-est deviation', 2.003, 2.003) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Est-to-ref deviation', 6.128999999999991, 6.128999999999991) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Pairwise Precision', 0.30179861778785755, 0.30179861778785755) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Pairwise Recall', 0.6240045992191486, 0.6240045992191486) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Pairwise F-measure', 0.4068331629834462, 0.4068331629834462) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Rand Index', 0.509983392618762, 0.509983392618762) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Adjusted Rand Index', 0.06878135700536266, 0.06878135700536266) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Mutual Information', 0.18722544508364072, 0.18722544508364072) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Adjusted Mutual Information', 0.12414774373232058, 0.12414774373232058) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'Normalized Mutual Information', 0.1921195689816766, 0.1921195689816766) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'NCE Over', 0.3540591969283001, 0.3540591969283001) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'NCE Under', 0.32758171294161753, 0.32758171294161753) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'NCE F-measure', 0.3403062126498245, 0.3403062126498245) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'V Precision', 0.29486295945439467, 0.29486295945439467) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'V Recall', 0.12517655270774686, 0.12517655270774686) ... ok test_segment.test_segment_functions('data/segment/output09.json', 'V-measure', 0.17574503215524864, 0.17574503215524864) ... ok test_segment.test_segment_functions('data/segment/output09.json', array([[ 0.245, 3.424], ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions(,) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources Frames - Source to Distortion', [[5.149669474914789, 3.148810079654024, 1.6539826780575564, 2.8748397843157947, 2.674526301309412, 2.55429486218923, 0.41438689453915906], [8.140962974194391, 9.16810183855365, 9.20529893957309, 8.556308362721365, 18.6664410306393, 16.815137099504998, 10.585218780016403]], [[5.149669474914772, 3.1488100796540404, 1.6539826780575286, 2.8748397843157396, 2.6745263013094145, 2.5542948621892525, 0.41438689453916433], [8.140962974194387, 9.168101838553662, 9.20529893957309, 8.556308362721357, 18.666441030639284, 16.815137099504994, 10.585218780016422]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources Frames - Source to Interference', [[7.904800707297186, 4.057003844506585, 2.221372181483942, 3.6137394476619313, 3.1490706498917342, 3.150180865751302, 1.8032413005926518], [15.402937023766176, 13.87547094486214, 16.175846921346423, 14.675806974688523, 22.988234803449107, 20.542399924198335, 15.217408852344288]], [[7.904800707297028, 4.0570038445068395, 2.22137218148402, 3.61373944766269, 3.149070649891711, 3.1501808657513037, 1.8032413005929873], [15.402937023765805, 13.875470944863594, 16.175846921346125, 14.675806974690932, 22.988234803441774, 20.54239992419536, 15.217408852352577]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources Frames - Source to Artifact', [[9.083139700967195, 11.830303419333614, 12.813737665972697, 12.499974926705146, 14.239859841858609, 13.18982740314423, 8.243205007241482], [9.167978020038644, 11.135668579824076, 10.282717737529858, 9.918738648987235, 20.69256955203498, 19.248396467502968, 12.546051958209969]], [[9.08313970096718, 11.83030341933345, 12.813737665972784, 12.499974926704931, 14.239859841858657, 13.189827403144259, 8.243205007241274], [9.167978020038662, 11.135668579824056, 10.282717737529854, 9.918738648986986, 20.69256955203501, 19.24839646750305, 12.546051958209466]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources - Source to Distortion', [1.6357250261616254, 8.357307683743587], [1.6357250261616694, 8.35730768374355]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources - Source to Interference', [2.8696145366228816, 19.59666851861651], [2.869614536623785, 19.596668518613885]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources - Source to Artifact', [9.511469033244614, 8.744100747693498], [9.511469033244348, 8.744100747692844]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Sources - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images - Source to Distortion', [-3.728734240907568, -0.4318201250413093], [-3.728734240907568, -0.4318201250413093]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images - Image to Spatial', [-3.1013229967901017, -0.28353454509598], [-3.101322996790156, -0.28353454509577714]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images - Source to Interference', [2.8696145364214845, 19.59666852454728], [2.8696145365946797, 19.596668515448087]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images - Source to Artifact', [9.511469033936251, 8.744100747715269], [9.511469033350544, 8.744100747708758]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images Frames - Source to Distortion', [[-3.610134649333453, -3.8689468446156905], [-1.025984860608304, -0.3227907605130132]], [[-3.610134649333453, -3.8689468446156905], [-1.025984860608304, -0.3227907605130132]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images Frames - Image to Spatial', [[-3.122461076386659, -3.2086528822434754], [-0.9437277119526251, -0.23800696552037587]], [[-3.122461076386494, -3.20865288224359], [-0.9437277119526215, -0.23800696552017314]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images Frames - Source to Interference', [[3.9650508040545995, 2.5015023988550915], [19.22571259368532, 20.41295034508732]], [[3.9650508040494343, 2.5015023988684137], [19.22571259353907, 20.412950345526504]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images Frames - Source to Artifact', [[10.543876939086484, 12.17583277472758], [11.046588452499464, 11.060465308795195]], [[10.543876939080949, 12.175832774712031], [11.046588452497266, 11.060465308797735]]) ... ok test_separation.test_separation_functions('data/separation/output01.json', 'Images Frames - Source permutation', [[0.0, 0.0], [1.0, 1.0]], [[0.0, 0.0], [1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources Frames - Source to Distortion', [[-3.3683586251724016, -0.42581310047304444, 5.7379543842872565, 13.496549686251871, 11.133937944745512, 11.744969792989156, 8.783665593807777, 0.10586742903207969, -3.392353303563338], [4.114269729136067, 3.67317442764071, 4.706638787684429, 4.60806101498786, 2.5012704048947185, 3.7095657831176734, 1.3676712483128395, 2.9562262872431013, 5.244098638114352], [16.978354236989187, 17.74189709179344, 14.577608333324976, 12.739000711173308, 2.2621375012667198, 1.6333311475483947, 1.2550203261533313, 1.6631735614599776, -1.149758499165495]], [[-3.3683586251724176, -0.4258131004730029, 5.737954384287263, 13.496549686251882, 11.133937944745513, 11.744969792989144, 8.783665593807779, 0.10586742903207497, -3.392353303563334], [4.114269729136045, 3.6731744276418876, 4.706638787684438, 4.608061014987869, 2.501270404894758, 3.7095657831177444, 1.3676712483128473, 2.956226287243273, 5.2440986381143295], [16.978354236989194, 17.741897091793426, 14.577608333324958, 12.739000711173317, 2.2621375012667193, 1.6333311475483014, 1.2550203261532684, 1.6631735614600018, -1.1497584991656096]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources Frames - Source to Interference', [[-3.361311383115169, -0.41805884715197006, 5.750722250999846, 13.873877733526786, 11.422785774878603, 11.873782070007458, 9.384159479908208, 0.14357942689868233, -3.3915520815199485], [4.161081265718989, 3.67836637321438, 4.713902939677048, 4.626415071166586, 2.5491113450748477, 3.8484107073860176, 1.4468443722890898, 2.9811352084514646, 5.280572439827305], [17.032503542817697, 17.84514323947064, 14.64751268651629, 12.89597396664563, 2.2986470961536614, 1.689623136357667, 1.3021291123504908, 1.7020151191450776, -1.1403297080809076]], [[-3.361311383159377, -0.41805884675415195, 5.750722251019655, 13.873877733477302, 11.422785774638367, 11.873782070113656, 9.384159481188938, 0.14357942689956213, -3.3915520815178564], [4.161081265635496, 3.6783663733941028, 4.713902939683422, 4.6264150711234775, 2.5491113448998397, 3.8484107075454532, 1.4468443722471211, 2.981135208402449, 5.28057243985441], [17.03250354285748, 17.84514324717382, 14.647512686549733, 12.895973966261625, 2.298647095986888, 1.689623136425914, 1.3021291134452864, 1.7020151192991826, -1.1403297080800905]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources Frames - Source to Artifact', [[29.541159307781207, 30.28486437607985, 32.08543046335084, 24.468939761278136, 23.350922624086476, 27.36080546521107, 18.146874280330575, 23.676861051370885, 38.9774238338736], [25.222110956321252, 34.449751922785005, 33.74005006568267, 29.643799086762108, 24.025161181061865, 20.230457095258153, 21.146116053307303, 27.15362466757432, 27.147893385078078], [36.13248139540963, 34.103272414269966, 32.69176471832086, 27.45424321412692, 25.045465569394956, 22.781967782833657, 23.333232859659763, 24.409599008570602, 29.1060229475698]], [[29.54115930781021, 30.284864375869876, 32.085430463346434, 24.4689397612799, 23.350922624102438, 27.360805465204532, 18.14687428019694, 23.676861051371574, 38.977423833872535], [25.22211095634335, 34.44975192272571, 33.740050065681054, 29.643799086772052, 24.025161181124336, 20.230457095212245, 21.146116053327013, 27.153624667590456, 27.147893385072148], [36.1324813954066, 34.10327241414194, 32.691764718319675, 27.454243214145258, 25.045465569457566, 22.781967782806024, 23.333232859196787, 24.409599008507577, 29.106022947569375]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources - Source to Distortion', [10.40244239629038, 11.615179897174546, 8.213820164496564], [10.402442396290404, 11.615179897174547, 8.213820164496585]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources - Source to Interference', [13.688266627448936, 15.194137116147399, 10.084397177604611], [13.688266627376017, 15.194137115835119, 10.084397177627933]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources - Source to Artifact', [13.335559184907076, 14.252119758885875, 13.1799990629474], [13.335559184910213, 14.252119758894345, 13.179999062945116]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Sources - Source permutation', [2, 0, 1], [2, 0, 1]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images - Source to Distortion', [-1.8775463755729618, -3.3887395937444476, 0.9747284594596128], [-1.8775463755729618, -3.3887395937444476, 0.9747284594596128]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images - Image to Spatial', [-0.858906594154948, -2.7043695498272244, 2.8930111354553336], [-0.8589065941545819, -2.7043695498276343, 2.8930111354532895]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images - Source to Interference', [13.688266623278002, 15.194137103948584, 10.084397178089588], [13.688266928269748, 15.194137341965568, 10.084397086748702]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images - Source to Artifact', [13.335559185236916, 14.252119759375393, 13.179999062901171], [13.335559171890424, 14.252119748135586, 13.179999070154329]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images - Source permutation', [2, 0, 1], [2, 0, 1]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images Frames - Source to Distortion', [[-11.614228844618804, -5.008678822252923, 3.2383992767890897, 5.453958144668951, 2.1004345511608293, 1.578438283107806, 1.7170021719232518, -6.724556591393716, -2.7989921444160815], [-2.6772513397327313, -7.70614904807331, -12.643073365588425, -13.857563303999301, -14.794561242422972, -14.419593058031563, -14.243452366815628, -3.4840667763821425, -6.687913508461344], [2.053185842579845, 1.9854522015713219, 1.9249036337181638, 1.686324789474099, -4.208020949310968, -6.239651644568832, -5.800603582950306, -4.155670065507797, -6.998789124033747]], [[-11.614228844618804, -5.008678822252923, 3.2383992767890897, 5.453958144668951, 2.1004345511608293, 1.578438283107806, 1.7170021719232518, -6.724556591393716, -2.7989921444160815], [-2.6772513397327313, -7.70614904807331, -12.643073365588425, -13.857563303999301, -14.794561242422972, -14.419593058031563, -14.243452366815628, -3.4840667763821425, -6.687913508461344], [2.053185842579845, 1.9854522015713219, 1.9249036337181638, 1.686324789474099, -4.208020949310968, -6.239651644568832, -5.800603582950306, -4.155670065507797, -6.998789124033747]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images Frames - Image to Spatial', [[-6.34264242672788, -1.377953416862706, 5.070213193938806, 5.83130901384687, 2.245863798407242, 1.6601523401957288, 1.9142589759698088, -3.9870380440341258, 0.03758697376198457], [-1.3493777848410176, -5.953438120091208, -10.972563351438023, -12.10274832101641, -12.22786034403259, -12.372687676758275, -11.091952373737847, -1.5355525512374841, -5.441900648088403], [2.302722293773999, 2.2001648439879586, 2.3854236136061213, 2.388377386207191, -0.5838165671358179, -2.7829326414642774, -2.051181262016584, -0.41754847643439813, -1.2608875491785287]], [[-6.342642426729091, -1.3779534168628726, 5.0702131939383275, 5.831309013846431, 2.245863798407403, 1.6601523401957372, 1.9142589759698259, -3.9870380440341373, 0.037586973762036194], [-1.349377784842438, -5.953438120047759, -10.972563351438128, -12.102748321014795, -12.227860344070313, -12.372687676758218, -11.091952373738739, -1.5355525512440464, -5.441900648087925], [2.302722293773217, 2.200164843986763, 2.3854236136064895, 2.3883773862073503, -0.5838165671281382, -2.782932641429039, -2.0511812620158207, -0.4175484764395975, -1.2608875491737064]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images Frames - Source to Interference', [[-3.3613113832489083, -0.41805884608069305, 5.750722250878923, 13.87387825546486, 11.422785776167697, 11.873782065698485, 9.384159463905084, 0.1435794219735264, -3.3915520815236593], [4.161081264190296, 3.678366373398555, 4.713902939665678, 4.626415093466444, 2.549111345787289, 3.8484107047350156, 1.4468443395824926, 2.9811352062503103, 5.280572439860476], [17.03250356442393, 17.84514325078144, 14.647512686319983, 12.895974104934904, 2.2986470965601926, 1.689623135700882, 1.3021290772385927, 1.7020151214322654, -1.140329708718237]], [[-3.3613113999856163, -0.41805884815136635, 5.750722250758927, 13.873877719484689, 11.42278577755504, 11.873782067658286, 9.384158517962705, 0.1435793526388831, -3.391552081359699], [4.161081261514829, 3.6783663705120957, 4.713902939692706, 4.626415069648544, 2.549111345491055, 3.8484107053594805, 1.4468443970717002, 2.9811351444485936, 5.280572440663402], [17.032502610132568, 17.84514318855103, 14.647512685778041, 12.89597395611403, 2.2986470964724908, 1.689623135153164, 1.3021290607635574, 1.7020151053995032, -1.1403297080475863]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images Frames - Source to Artifact', [[29.54115930846266, 30.28486437518026, 32.085430463371274, 24.468939623277347, 23.350922623986396, 27.360805465423365, 18.146874281971847, 23.676861050072382, 38.977423833671125], [25.222110956731317, 34.44975192270135, 33.74005006567886, 29.643798992881663, 24.025161180678765, 20.230457096218323, 21.146116064517248, 27.153624668217464, 27.14789338514652], [36.13248139038415, 34.10327241416053, 32.69176471833748, 27.454243153543057, 25.04546556921184, 22.781967782678805, 23.333232870620378, 24.40959900677184, 29.106022947671203]], [[29.541159284469806, 30.284864376603664, 32.08543046340018, 24.46893976177227, 23.35092262389296, 27.360805465361423, 18.146874195853638, 23.676860735173122, 38.97742383230484], [25.22211095028493, 34.44975192338721, 33.74005006567967, 29.643799086977968, 24.02516118091551, 20.230457095840976, 21.146115340325892, 27.153624219688183, 27.147893384824293], [36.132481064536144, 34.103272414992134, 32.69176471834025, 27.454243214386686, 25.04546556931182, 22.78196778318227, 23.33323120636724, 24.409598992734267, 29.106022947464627]]) ... ok test_separation.test_separation_functions('data/separation/output02.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources Frames - Source to Distortion', [[6.334331918339606, 5.669633027022252, 9.514464186545148, 10.71164392578316, 9.297428445800014, 8.771713568590616, 10.403935522673695], [-8.513135611072947, -8.06479881988801, -8.25150930492175, -7.8501942580442705, -12.45817886564216, -4.617977607866615, -2.64461561871086], [3.9540843403165615, -3.0720269164432827, -12.105206825589603, 11.990534899929347, 4.810319300991275, -0.4781663702508073, -5.219895828058015], [12.06023725005945, 13.935491387386723, 12.426917555156152, 13.63651193676602, 15.42572392184417, 14.704418986550996, 14.48314340440451]], [[6.334331918339612, 5.669633027022265, 9.514464186545139, 10.71164392578315, 9.297428445800008, 8.771713568590616, 10.403935522673704], [-8.513135611073594, -8.064798819888791, -8.251509304933107, -7.850194258047162, -12.458178865642155, -4.6179776078665995, -2.644615618710851], [3.9540843403165615, -3.0720269164432774, -12.10520682558961, 11.990534899929347, 4.810319300991273, -0.47816637025080955, -5.219895828058016], [12.060237250059458, 13.935491387386808, 12.426917555156134, 13.636511936766013, 15.425723921844167, 14.704418986550998, 14.483143404404505]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources Frames - Source to Interference', [[6.517511430956059, 5.811584235191804, 9.584118567061893, 12.053504437554937, 9.757649464586176, 8.950021021252027, 10.465652434850174], [-7.063425826761157, -6.919588154586787, -7.0510675585127665, -6.41420422914417, -11.905715000367598, -4.197909156618304, -2.481385500673486], [4.141014911149426, -3.0662821416577026, -10.876089319174651, 13.139617800785874, 5.717548748279755, 0.2376957317160609, -4.95479337943393], [12.922416672256979, 14.9065386603734, 13.278126105218409, 14.832517359591613, 15.848218198392894, 15.421359248559945, 15.706812592194249]], [[6.517511430418773, 5.811584235204686, 9.584118567039901, 12.0535044371654, 9.757649467411412, 8.950021021537328, 10.46565243486915], [-7.063426513233857, -6.919588115314706, -7.0510675813016475, -6.414204157657953, -11.905715000061399, -4.197909156233509, -2.4813855006475842], [4.141014910687602, -3.0662821416570836, -10.876089318848761, 13.1396178007717, 5.717548749645411, 0.2376957317518501, -4.954793379034611], [12.922416671673943, 14.906538658441146, 13.278126105039757, 14.832517357389065, 15.848218198376067, 15.42135925531434, 15.706812594153735]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources Frames - Source to Artifact', [[21.048836345919693, 21.608583262200483, 27.951027125791697, 16.72864879951803, 19.71021183831201, 23.247296923584152, 29.282157260590303], [4.799644924140044, 6.0073847955656, 5.752039192874227, 4.961749769348593, 8.947021685564929, 11.332878323554013, 16.11243789085223], [19.123969289415776, 30.52457226127744, 5.194061850617207, 18.532566785320505, 13.088137800966999, 10.597476679737309, 13.214694804889211], [19.72218257902913, 21.055515792659747, 20.122562940089704, 19.961751529816834, 25.866418972580533, 23.003854645289668, 20.69699250550567]], [[21.048836346016834, 21.608583262197634, 27.951027125793622, 16.72864879954062, 19.710211838041786, 23.24729692355166, 29.2821572605892], [4.79964549937246, 6.007384762964339, 5.752039211870982, 4.961749710617883, 8.947021685277118, 11.332878323275246, 16.112437890835338], [19.123969289544746, 30.52457226127728, 5.194061850315177, 18.53256678532119, 13.088137800677963, 10.597476679719989, 13.214694804585587], [19.72218257905594, 21.055515792722215, 20.12256294009786, 19.96175152988701, 25.866418972581066, 23.003854645101143, 20.69699250545369]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources - Source to Distortion', [7.227899883748834, -4.463066010998922, 1.2821108384487931, 12.08045161095563], [7.227899883748847, -4.463066010999018, 1.2821108384488062, 12.080451610955636]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources - Source to Interference', [9.099154153150357, -0.6395992449918776, 4.933804919293743, 18.322102008336522], [9.099154153186786, -0.6395992455508694, 4.933804919293891, 18.322102002191336]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources - Source to Artifact', [12.290493438170484, 1.2044404036217558, 4.94297276989194, 13.322032058528471], [12.29049343816683, 1.2044404039163803, 4.942972769893187, 13.322032058619765]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Sources - Source permutation', [0, 1, 2, 3], [0, 1, 2, 3]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images - Source to Distortion', [5.712753094141592, -0.5289757449175277, 2.549532481747531, 7.304802908427809], [5.712753094141592, -0.5289757449175277, 2.549532481747531, 7.304802908427809]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images - Image to Spatial', [8.318816498816252, 0.2997698880963518, 4.804595475041133, 9.811871171879824], [8.318816498816233, 0.29976988809635446, 4.804595475041144, 9.81187117187988]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images - Source to Interference', [9.099154153150357, -0.6395992449918776, 4.933804919293743, 18.322102008336522], [9.099154152762832, -0.639599245138507, 4.933804919281571, 18.322102007674253]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images - Source to Artifact', [12.290493438170484, 1.2044404036217558, 4.94297276989194, 13.322032058528471], [12.290493438213053, 1.2044404037004555, 4.942972769894986, 13.322032058536436]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images - Source permutation', [0, 1, 2, 3], [0, 1, 2, 3]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images Frames - Source to Distortion', [[4.19954929801372, 3.96782825444149, 4.361892868515408, 6.5073212368026825, 6.955560133790401, 5.984627571776252, 7.929196739408663], [-1.4095944954010409e-05, -2.8326066278908866e-06, 1.1949171397866073e-05, 9.838309428075156e-06, -0.043281902154532, -1.409758632530891, -1.4422546911181748], [3.117618233726835, -0.28622284622982813, -0.015140774063767213, 5.574189592449486, 3.7010547007907855, 1.167937056847659, 0.4592080989842254], [7.354561939979786, 8.361046167970864, 6.775511410749754, 6.889497911805611, 6.804044580985504, 6.417840147181597, 8.290624270950048]], [[4.19954929801372, 3.96782825444149, 4.361892868515408, 6.5073212368026825, 6.955560133790401, 5.984627571776252, 7.929196739408663], [-1.4095944954010409e-05, -2.8326066278908866e-06, 1.1949171397866073e-05, 9.838309428075156e-06, -0.043281902154532, -1.409758632530891, -1.4422546911181748], [3.117618233726835, -0.28622284622982813, -0.015140774063767213, 5.574189592449486, 3.7010547007907855, 1.167937056847659, 0.4592080989842254], [7.354561939979786, 8.361046167970864, 6.775511410749754, 6.889497911805611, 6.804044580985504, 6.417840147181597, 8.290624270950048]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images Frames - Image to Spatial', [[6.112430375659276, 5.316079069648, 5.027546972941176, 7.561106359147754, 9.767718417885046, 9.051951203195674, 10.595479265345201], [-1.4080045367696296e-05, -2.817805683465462e-06, 1.1963908148885579e-05, 9.852421879178893e-06, -0.0413096055991435, 1.0455158520558625, 0.6549993870997072], [5.452577519367842, 0.5197310016117918, 0.0038051781058960924, 5.86891871912888, 5.528354657099386, 3.49668492500819, 0.6693780756670293], [9.918609420131816, 10.363424299609477, 8.899797095616487, 8.27982188857489, 7.633159453549368, 7.435927366549882, 10.021556206256403]], [[6.112430375659283, 5.316079069648002, 5.027546972941165, 7.561106359147739, 9.767718417885034, 9.05195120319567, 10.595479265345196], [-1.4080045367696296e-05, -2.817805683465462e-06, 1.1963908148885579e-05, 9.85242188014322e-06, -0.0413096055991435, 1.04551585205587, 0.6549993870997048], [5.452577519367842, 0.5197310016117918, 0.0038051781058960924, 5.86891871912888, 5.528354657099386, 3.496684925008192, 0.6693780756670293], [9.918609420131812, 10.363424299608557, 8.899797095616515, 8.279821888574899, 7.633159453549365, 7.435927366549889, 10.021556206256408]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images Frames - Source to Interference', [[6.517511430956059, 5.811584235191804, 9.584118567061893, 12.053504437554937, 9.757649464586176, 8.950021021252027, 10.465652434850174], [-7.063425826761157, -6.919588154586787, -7.0510675585127665, -6.41420422914417, -11.905715000367598, -4.197909156618304, -2.481385500673486], [4.141014911149426, -3.0662821416577026, -10.876089319174651, 13.139617800785874, 5.717548748279755, 0.2376957317160609, -4.95479337943393], [12.922416672256979, 14.9065386603734, 13.278126105218409, 14.832517359591613, 15.848218198392894, 15.421359248559945, 15.706812592194249]], [[6.517511430418773, 5.811584235204686, 9.584118567039901, 12.0535044371654, 9.757649467411412, 8.950021021537328, 10.46565243486915], [-7.063426513233857, -6.919588115314706, -7.0510675813016475, -6.414204157657953, -11.905715000061399, -4.197909156233509, -2.4813855006475842], [4.141014910687602, -3.0662821416570836, -10.876089318848761, 13.1396178007717, 5.717548749645411, 0.2376957317518501, -4.954793379034611], [12.922416671673943, 14.906538658441146, 13.278126105039757, 14.832517357389065, 15.848218198376067, 15.42135925531434, 15.706812594153735]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images Frames - Source to Artifact', [[21.048836345919693, 21.608583262200483, 27.951027125791697, 16.72864879951803, 19.71021183831201, 23.247296923584152, 29.282157260590303], [4.799644924140044, 6.0073847955656, 5.752039192874227, 4.961749769348593, 8.947021685564929, 11.332878323554013, 16.11243789085223], [19.123969289415776, 30.52457226127744, 5.194061850617207, 18.532566785320505, 13.088137800966999, 10.597476679737309, 13.214694804889211], [19.72218257902913, 21.055515792659747, 20.122562940089704, 19.961751529816834, 25.866418972580533, 23.003854645289668, 20.69699250550567]], [[21.048836346016834, 21.608583262197634, 27.951027125793622, 16.72864879954062, 19.710211838041786, 23.24729692355166, 29.2821572605892], [4.79964549937246, 6.007384762964339, 5.752039211870982, 4.961749710617883, 8.947021685277118, 11.332878323275246, 16.112437890835338], [19.123969289544746, 30.52457226127728, 5.194061850315177, 18.53256678532119, 13.088137800677963, 10.597476679719989, 13.214694804585587], [19.72218257905594, 21.055515792722215, 20.12256294009786, 19.96175152988701, 25.866418972581066, 23.003854645101143, 20.69699250545369]]) ... ok test_separation.test_separation_functions('data/separation/output03.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources Frames - Source to Distortion', [[11.440536675067596, 17.328375913229205, 19.2462479090828, 19.15107868850005, 23.35477132443166, 23.210917457261488, 18.489197678848782], [3.2004995075979057, 2.469781098195154, -3.834624099549915, 7.9313336264113286, 11.172922729330644, -2.300614943358314, 3.302799243264362], [13.124358137427173, 12.993318101201146, 5.859129776687107, 3.147786090783302, -8.938596094423712, 14.23943338016775, 13.548815748135947]], [[11.440536675067579, 17.328375913229216, 19.246247909082772, 19.15107868850007, 23.354771324431663, 23.2109174572615, 18.48919767884879], [3.200499507597892, 2.4697810981951642, -3.834624099549914, 7.9313336264114165, 11.17292272933065, -2.3006149433583194, 3.30279924326439], [13.12435813742717, 12.993318101201163, 5.859129776687109, 3.147786090782722, -8.938596094423708, 14.239433380167759, 13.548815748136056]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources Frames - Source to Interference', [[12.765247980488594, 17.486351217243918, 20.940410354948682, 20.02630019427866, 23.96794059785329, 25.230972473266576, 19.402046431189778], [3.759296787078944, 2.555820915266143, -3.206847418679932, 8.558003118400304, 11.583077988393802, -0.8357643907278025, 4.022718590139006], [13.999773465736457, 13.100223365307118, 6.902335250632708, 3.666557467575725, -8.73141059968706, 16.16002278177941, 14.258939589196537]], [[12.765247980489129, 17.486351217195573, 20.940410354949456, 20.026300194268384, 23.96794059785485, 25.230972473267187, 19.4020464311528], [3.75929678707931, 2.5558209152386198, -3.2068474186796414, 8.55800311839287, 11.583077988395162, -0.8357643907276845, 4.022718590112774], [13.999773465737002, 13.100223365279911, 6.902335250633238, 3.6665574675697377, -8.731410599686226, 16.160022781780587, 14.258939589164363]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources Frames - Source to Artifact', [[17.466580806940183, 31.875865139416554, 24.18895347207666, 26.58096014805617, 32.17717152062088, 27.519079324974903, 25.761041518334032], [13.907516503438085, 21.46132816291777, 9.778502652958156, 17.215043841970797, 21.916364560727885, 6.579408542410655, 12.91173991844568], [20.679969040167215, 29.34216617261167, 13.370936872608642, 14.185660075486455, 13.656085168710948, 18.81178479809137, 21.92345093129594]], [[17.466580806940193, 31.875865139417332, 24.188953472076662, 26.580960148056274, 32.17717152062089, 27.519079324974953, 25.761041518334498], [13.907516503437991, 21.46132816292758, 9.778502652957963, 17.2150438419717, 21.916364560727757, 6.579408542410596, 12.911739918453357], [20.679969040167208, 29.342166172612735, 13.370936872608572, 14.185660075488357, 13.656085168710208, 18.811784798091374, 21.9234509312971]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources - Source to Distortion', [15.989628144732432, 2.9258527703732016, 10.390551440343582], [15.989628144732425, 2.92585277037319, 10.390551440343547]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources - Source to Interference', [19.310156466663955, 5.042019427790949, 13.118530603652857], [19.310156466664875, 5.042019427791443, 13.118530603652601]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources - Source to Artifact', [18.761000337486028, 8.246653505074239, 13.909608717243106], [18.76100033748606, 8.24665350507413, 13.909608717243112]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Sources - Source permutation', [0, 1, 2], [0, 1, 2]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images - Source to Distortion', [2.163258282027192, 0.897843090973953, 1.2282412977280202], [2.163258282027192, 0.897843090973953, 1.2282412977280202]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images - Image to Spatial', [2.6751543739795043, 8.372130218894506, 2.8493541624577654], [2.675154373977956, 8.372130218893792, 2.8493541624550485]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images - Source to Interference', [19.31015646558772, 5.0420194252804045, 13.11853059743482], [19.310016796340754, 5.042011979810868, 13.118530796703595]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images - Source to Artifact', [18.761000338914286, 8.246653505381495, 13.909608715988744], [18.761000317979864, 8.246653519942392, 13.90960877164283]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images - Source permutation', [0, 1, 2], [0, 1, 2]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images Frames - Source to Distortion', [[1.4640689573054708, 2.7226855497949582, 2.01993537403283, 2.0707454220204204, 1.7654217138662174, 2.2757164947868103], [0.5862203071772628, -2.555224133136584, 0.8281683915332907, 3.9038945737714243, -8.166310458073198, 0.8747108716969225], [1.863929146719244, 0.4142955685304883, -0.16934518084163938, -11.026720818380532, 2.337017329764834, 1.2285975158734879]], [[1.4640689573054708, 2.7226855497949582, 2.01993537403283, 2.0707454220204204, 1.7654217138662174, 2.2757164947868103], [0.5862203071772628, -2.555224133136584, 0.8281683915332907, 3.9038945737714243, -8.166310458073198, 0.8747108716969225], [1.863929146719244, 0.4142955685304883, -0.16934518084163938, -11.026720818380532, 2.337017329764834, 1.2285975158734879]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images Frames - Image to Spatial', [[2.674345974053058, 3.042138197051505, 2.171851184655144, 2.21990367646635, 1.8469091257261692, 2.5667921667105738], [6.98631455566823, 1.1937990357104127, 5.924077706272185, 6.798483342879158, -3.204161142389813, 5.557574882686591], [2.78632046451344, 1.2693990721644695, 2.1045720253894675, -8.402250815014842, 3.7447725133854037, 2.015366273903474]], [[2.6743459740517226, 3.042138197061535, 2.171851184655353, 2.21990367646539, 1.846909125722322, 2.5667921667091735], [6.986314555664403, 1.1937990357095065, 5.924077706272566, 6.798483342879064, -3.204161142391748, 5.557574882687534], [2.786320464519493, 1.269399072157903, 2.104572025397564, -8.40225081501467, 3.7447725133852394, 2.015366273884354]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images Frames - Source to Interference', [[12.765247978952921, 18.548198362597866, 21.569422102070888, 21.727536053768443, 25.07450424272447, 19.402046354452835], [3.7592969566550147, 2.9643292003076915, 3.4521165658425117, 8.899899567849408, -0.013368607239778767, 4.02271829646254], [13.999773425009462, 12.840069926851537, 7.855283100933218, 2.0128880378103977, 13.254450173302628, 14.258939498545658]], [[12.765247987217723, 18.548198326401238, 21.56942205365922, 21.727536058601494, 25.074504242651123, 19.402046376019406], [3.7592969952118938, 2.9643294210871796, 3.4521164707672103, 8.89989960878802, -0.013368601758496676, 4.022718272413978], [13.999773826767068, 12.840068959398272, 7.855283150243267, 2.0128880192086265, 13.254450179478315, 14.258939821646521]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images Frames - Source to Artifact', [[17.466580843605623, 30.64449297843373, 31.81821985570452, 31.403889982836045, 29.74250643096079, 25.761041550256504], [13.90751650071267, 19.28631216778904, 18.049825794913616, 21.324888251393475, 8.415006039243035, 12.911739887025496], [20.679969093362153, 26.253640137362524, 20.398337873206493, 14.985002191057797, 16.75512467803071, 21.92345088386083]], [[17.466581324467473, 30.64449260447506, 31.818219899436677, 31.403889961649718, 29.742506431757878, 25.76104133124133], [13.90751663604565, 19.286311163564886, 18.04982577022389, 21.32488824647362, 8.415006032654246, 12.91174006255146], [20.67996907702124, 26.253639802519878, 20.39833802217094, 14.985002236348938, 16.75512467904216, 21.9234510210249]]) ... ok test_separation.test_separation_functions('data/separation/output05.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources Frames - Source to Distortion', [[15.77086111808403, 10.266491728120805, 10.616425286260334, 10.402612463899501, 11.341693557777504, 17.97791964466161, 20.899809133103062, 20.684958728768027, 19.816412831063722, 15.157352480870568, 10.918400740940763, 12.79428404857017, 16.3534149298147, 19.142915379163856, 20.3561821456509, 19.6843236664604, 21.23616051157139, 21.498314308873155, 21.41151703779709, 15.689348142010784, 14.97368801075249], [10.234148337188163, 13.494352305226043, 13.261602906653147, 10.270234658668524, 8.92652673541685, 0.7285082470816153, -1.4450260040874086, -0.3491037224516557, -3.5361158771361447, -4.871801382705669, 7.024768329666889, 9.435832460227994, 10.39710584329513, 1.8924601837813169, -5.498679269679676, -5.707465929170626, -3.0164083815807077, 0.972359807300741, -8.414915765241787, 9.75331347871245, 11.81734984377421]], [[15.770861118084023, 10.266491728120815, 10.616425286260341, 10.402612463899505, 11.341693557777493, 17.977919644661608, 20.899809133103066, 20.684958728768006, 19.81641283106371, 15.157352480870586, 10.918400740940763, 12.794284048570162, 16.35341492981471, 19.142915379163863, 20.356182145650912, 19.68432366646042, 21.236160511571388, 21.498314308873177, 21.411517037797086, 15.689348142010811, 14.973688010752495], [10.234148337188175, 13.494352305226032, 13.261602906653147, 10.270234658668533, 8.926526735416843, 0.7285082470816284, -1.445026004087403, -0.3491037224516751, -3.5361158771361154, -4.871801382705655, 7.024768329666901, 9.435832460228072, 10.397105843295142, 1.8924601837813337, -5.498679269679663, -5.707465929170647, -3.016408381580664, 0.9723598073007549, -8.41491576524177, 9.75331347871246, 11.817349843774206]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources Frames - Source to Interference', [[16.98316565060179, 11.066620858416801, 11.119816633976644, 11.24843440898848, 12.128696219803397, 19.13596762600306, 22.814960093766878, 22.862196782184185, 24.300128659029845, 23.18289773038202, 13.63586735429394, 13.749698225694722, 17.406888721891352, 20.684358361310725, 23.949389057429094, 23.574858838760477, 25.266629368982933, 22.704300333535954, 28.523071184675374, 17.130537763017852, 16.540378844175507], [12.761302701100208, 16.725423398871687, 15.50531558578965, 12.822840381089108, 11.5696956605958, 3.5198548561320098, 0.33650837644793885, 1.180614118506081, -0.9230897029461617, -2.5762143138651963, 9.106024425218672, 11.226290236312249, 12.70766247021674, 3.575003104313796, -4.155211115828387, -3.156892835441392, 0.8942659663030484, 2.398318538158311, -5.992697570650682, 12.918316411158418, 15.40943603382167]], [[16.983165650601777, 11.066620858416801, 11.119816633976619, 11.248434408988468, 12.128696219803377, 19.13596762600305, 22.814960093766867, 22.86219678218422, 24.300128659029884, 23.182897730381974, 13.635867354293921, 13.74969822569331, 17.406888721891345, 20.68435836131071, 23.949389057429066, 23.57485883876062, 25.266629368983104, 22.704300333535944, 28.52307118467533, 17.130537763017905, 16.54037884417558], [12.761302701100185, 16.725423398871758, 15.505315585789596, 12.82284038108909, 11.569695660595814, 3.5198548561320138, 0.3365083764479299, 1.1806141185060266, -0.9230897029461725, -2.5762143138651847, 9.106024425218664, 11.226290236310998, 12.707662470216736, 3.5750031043137893, -4.155211115828419, -3.156892835441405, 0.8942659663030604, 2.39831853815833, -5.992697570650662, 12.918316411158452, 15.40943603382166]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources Frames - Source to Artifact', [[21.990778005120852, 18.333746530033395, 20.547726687968467, 18.237866599845404, 19.405526331340404, 24.33733097150396, 25.400719693560205, 24.74938711051291, 21.7446459579091, 15.922780436530736, 14.426776962742538, 20.018559739001557, 23.099310341295215, 24.426373457428507, 22.870091804407828, 21.98210695171666, 23.433829394223466, 27.675020583617957, 22.35677824908201, 21.263949483186874, 20.25679399600902], [14.012229445929336, 16.385904318487125, 17.32399989862942, 14.013214533201241, 12.63037124891007, 5.567003858183542, 6.13053861839857, 7.385045791985432, 3.407815607327226, 3.481151648894301, 11.721747364515998, 14.464250937066465, 14.468754307872988, 8.40550192992014, 5.8183032541819015, 2.6865395454609313, 1.834651984670623, 8.477254710078226, 2.2431515909826456, 12.830549832539596, 14.437888709785705]], [[21.99077800512083, 18.333746530033405, 20.547726687968467, 18.23786659984539, 19.405526331340425, 24.337330971503963, 25.400719693560223, 24.749387110512938, 21.74464595790909, 15.92278043653074, 14.426776962742522, 20.018559739001624, 23.099310341295208, 24.426373457428518, 22.870091804407828, 21.982106951716652, 23.433829394223462, 27.675020583617965, 22.35677824908201, 21.2639494831869, 20.25679399600904], [14.012229445929318, 16.385904318487157, 17.32399989862944, 14.013214533201253, 12.630371248910073, 5.567003858183554, 6.130538618398581, 7.385045791985439, 3.4078156073272456, 3.4811516488943166, 11.721747364516004, 14.464250937066641, 14.468754307872985, 8.405501929920156, 5.818303254181928, 2.6865395454609016, 1.8346519846706522, 8.477254710078228, 2.2431515909826487, 12.83054983253958, 14.437888709785698]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources - Source to Distortion', [13.783382049292761, 7.250163706520252], [13.78338204929278, 7.250163706520247]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources - Source to Interference', [16.204235407537467, 11.658569116183283], [16.204235407537556, 11.658569116183275]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources - Source to Artifact', [17.578736233831776, 9.491272183553743], [17.578736233831776, 9.491272183553724]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Sources - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images - Source to Distortion', [4.064384201051032, 3.038140191822751], [4.064384201051032, 3.038140191822751]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images - Image to Spatial', [4.287976103503465, 3.5250443403090976], [4.2879761035049695, 3.5250443403090737]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images - Source to Interference', [16.20423540754212, 11.65856911618328], [16.204235407534707, 11.658569116182962]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images - Source to Artifact', [17.57873623383171, 9.491272183553761], [17.57873623383274, 9.491272183553775]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images Frames - Source to Distortion', [[4.117419268849969, 3.404760584148478, 3.580617666901382, 3.5797608104702894, 3.659998659710374, 4.207105486629724, 4.270863765260916, 4.220394181272049, 4.216632880349893, 3.9285482622458283, 3.5546202403109177, 3.9486055105584943, 4.111378352283996, 4.235035943571582, 4.221309951381499, 4.257700615094955, 4.3013969596916715, 4.285296208666528, 4.307183770801567, 4.139987661546405, 4.115106885313501], [3.1905908448064144, 3.247026431796786, 3.194355189052204, 3.0654520919430723, 2.61420098085057, 0.2087777138236804, -2.3484300223219923, -2.9419470404441945, -6.020107795326631, -6.03024714724787, 3.115826293743474, 3.2023857090762124, 2.9876542216812414, -1.8264261719831683, -2.926105777573023, -1.63949835880122, -3.7989003862454163, -11.768189421606994, -18.02829560081907, 3.1414599127022482, 3.518099641928803]], [[4.117419268849969, 3.404760584148478, 3.580617666901382, 3.5797608104702894, 3.659998659710374, 4.207105486629724, 4.270863765260916, 4.220394181272049, 4.216632880349893, 3.9285482622458283, 3.5546202403109177, 3.9486055105584943, 4.111378352283996, 4.235035943571582, 4.221309951381499, 4.257700615094955, 4.3013969596916715, 4.285296208666528, 4.307183770801567, 4.139987661546405, 4.115106885313501], [3.1905908448064144, 3.247026431796786, 3.194355189052204, 3.0654520919430723, 2.61420098085057, 0.2087777138236804, -2.3484300223219923, -2.9419470404441945, -6.020107795326631, -6.03024714724787, 3.115826293743474, 3.2023857090762124, 2.9876542216812414, -1.8264261719831683, -2.926105777573023, -1.63949835880122, -3.7989003862454163, -11.768189421606994, -18.02829560081907, 3.1414599127022482, 3.518099641928803]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images Frames - Image to Spatial', [[4.265946270456195, 3.8620084749952985, 4.006347275011265, 4.012938245485204, 4.001145757814499, 4.295423299315363, 4.315513654297611, 4.266107502288243, 4.272049981361395, 4.056150986107505, 3.899404552680722, 4.231496668590395, 4.239916766404667, 4.3026807628375945, 4.273097803143452, 4.318665094317312, 4.343992335550234, 4.3247020810700025, 4.349695345478899, 4.293376619628447, 4.2887441400014845], [3.433216414063025, 3.3665447951896654, 3.31293036861992, 3.2638752736746275, 2.842196070238371, 0.8947742187330721, -0.01351305265198334, -0.7698875505953302, -2.2329123386997556, 2.378386225593714, 3.7150052170926124, 3.524371675011515, 3.2336610788454347, 0.12244334429661302, 0.7237286409012373, 1.169752013987422, -0.9177281060444858, -9.371059914549594, -9.114054598374523, 3.422406619684101, 3.7309553459377627]], [[4.265946270456123, 3.862008474995351, 4.006347275011335, 4.012938245485315, 4.001145757814493, 4.2954232993153205, 4.315513654297631, 4.266107502288021, 4.272049981361309, 4.056150986107566, 3.8994045526807386, 4.231496668590401, 4.239916766404593, 4.302680762837564, 4.27309780314319, 4.318665094317284, 4.343992335550145, 4.324702081070074, 4.34969534547889, 4.293376619628399, 4.288744140001434], [3.4332164140630663, 3.3665447951896637, 3.3129303686199356, 3.2638752736746355, 2.8421960702384803, 0.894774218732992, -0.013513052652211146, -0.7698875505954419, -2.232912338699759, 2.378386225593676, 3.7150052170924344, 3.524371675011229, 3.23366107884534, 0.12244334429659523, 0.7237286409011028, 1.1697520139872948, -0.917728106038417, -9.371059914549628, -9.114054598374521, 3.4224066196840885, 3.730955345937695]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images Frames - Source to Interference', [[16.983165650603368, 11.06662085841814, 11.119816633976988, 11.248434408988635, 12.128696219803208, 19.135967626002714, 22.814960093761457, 22.86219678218337, 24.300128659020068, 23.182897730379484, 13.635867354293394, 13.749698225670809, 17.40688872189243, 20.68435836131063, 23.94938905741533, 23.574858838774443, 25.26662936885138, 22.704300333537944, 28.52307118467778, 17.130537763018612, 16.540378844177333], [12.761302701071164, 16.72542339866355, 15.505315585787836, 12.822840381089051, 11.569695660596063, 3.5198548561361886, 0.3365083764483021, 1.1806141185061472, -0.9230897029461929, -2.576214313865121, 9.10602442521973, 11.226290236277016, 12.707662470217398, 3.5750031043137276, -4.1552111158289, -3.156892835441107, 0.8942659663035768, 2.398318538158408, -5.9926975706506465, 12.91831641117263, 15.409436033822896]], [[16.983165650601663, 11.066620858417622, 11.119816633976146, 11.248434408986954, 12.128696219802212, 19.135967626002905, 22.814960093762927, 22.86219678220032, 24.300128659031138, 23.182897730381807, 13.63586735429285, 13.749698225717568, 17.4068887219101, 20.684358361309823, 23.949389057406552, 23.5748588387573, 25.266629369058286, 22.70430033353293, 28.523071184674997, 17.13053776301665, 16.540378844175308], [12.761302701095055, 16.72542339885745, 15.505315585790246, 12.822840381088369, 11.569695660590076, 3.5198548561316216, 0.3365083764475069, 1.1806141185066974, -0.9230897029461338, -2.5762143138653473, 9.106024425218695, 11.226290236193112, 12.707662470218244, 3.575003104313886, -4.155211115829531, -3.156892835440776, 0.8942659662898784, 2.3983185381577683, -5.992697570650948, 12.91831641115734, 15.40943603382102]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images Frames - Source to Artifact', [[21.99077800512043, 18.333746530034677, 20.547726687968414, 18.23786659984554, 19.405526331340223, 24.33733097149828, 25.400719693559385, 24.74938711051289, 21.74464595790813, 15.92278043653067, 14.426776962741872, 20.018559739003013, 23.099310341294, 24.426373457428475, 22.870091804407913, 21.982106951716318, 23.43382939421989, 27.675020583618085, 22.356778249082065, 21.26394948318399, 20.256793996010884], [14.01222944593088, 16.38590431852349, 17.323999898628962, 14.013214533199578, 12.630371248910032, 5.567003858183521, 6.130538618398541, 7.385045791985307, 3.4078156073269823, 3.481151648894264, 11.721747364515744, 14.46425093706553, 14.468754307873755, 8.405501929920074, 5.818303254181871, 2.686539545460673, 1.8346519846695175, 8.477254710078112, 2.2431515909825923, 12.830549832539768, 14.437888709785828]], [[21.990778005120966, 18.33374653003158, 20.54772668796959, 18.23786659984509, 19.405526331340955, 24.337330971503857, 25.400719693560475, 24.749387110513187, 21.744645957909057, 15.922780436530795, 14.426776962742519, 20.018559739003905, 23.099310341297887, 24.426373457428475, 22.870091804408545, 21.982106951716602, 23.43382939422338, 27.67502058361842, 22.35677824908202, 21.26394948318737, 20.25679399600897], [14.012229445929735, 16.385904318490848, 17.323999898629516, 14.013214533201236, 12.63037124891111, 5.567003858183495, 6.13053861839874, 7.385045791985267, 3.407815607327187, 3.4811516488944223, 11.721747364516418, 14.464250937057635, 14.46875430787298, 8.405501929920085, 5.818303254182101, 2.686539545460951, 1.8346519846706086, 8.477254710078375, 2.2431515909828548, 12.830549832539608, 14.43788870978543]]) ... ok test_separation.test_separation_functions('data/separation/output06.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources Frames - Source to Distortion', [[34.80070239467071, 26.2339642063513, 35.5215200109522, 37.49191303600733, 34.44692576864382, 30.64487138167989, 29.533007147150276, 34.512840543932896, 33.31009727280656, 34.36391651078958], [26.13086358577064, 30.057520446580863, 36.185948791295964, 34.537511946262526, 35.13001210989838, 34.56531711665751, 34.63959606031986, 39.223908390181435, 31.06386072368094, 29.511903392413373]], [[34.80070239467067, 26.233964206351303, 35.52152001095222, 37.491913036007325, 34.44692576864385, 30.644871381679888, 29.53300714715028, 34.512840543932896, 33.31009727280657, 34.36391651078961], [26.130863585770637, 30.05752044658083, 36.18594879129595, 34.537511946262526, 35.130012109898374, 34.565317116657496, 34.63959606031987, 39.223908390181435, 31.063860723680932, 29.51190339241336]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources Frames - Source to Interference', [[37.05623507766616, 29.043142694321944, 38.3592465630058, 39.94487087965168, 39.60727483980821, 36.32235632341899, 32.809992822622235, 37.37369532527908, 34.47844491232024, 37.06690040963204], [27.845610482030516, 34.54337418414521, 38.54337124413395, 35.20532609958096, 37.13331392820733, 38.31297112963101, 37.570267685568595, 41.027652966687484, 32.003487255750564, 33.39351433386843]], [[37.056235077666095, 29.04314269432124, 38.35924656300556, 39.94487087965189, 39.60727483981047, 36.322356323417075, 32.809992822610944, 37.373695325278916, 34.47844491232085, 37.066900409631224], [27.845610482037387, 34.54337418412345, 38.54337124412963, 35.20532609957952, 37.13331392820961, 38.31297112963255, 37.57026768557177, 41.02765296670008, 32.00348725573812, 33.393514333858064]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources Frames - Source to Artifact', [[38.7259758343832, 29.460563771591772, 38.71216923960858, 41.14219899235343, 36.026084877124156, 32.01594355122144, 32.294327909706205, 37.67870708262977, 39.58485326623575, 37.70579937932511], [31.003032704566593, 31.969991606105673, 39.96554793807786, 42.99973779383219, 39.45444734168235, 36.94611082396064, 37.73177148964176, 43.911046559030105, 38.176234225694444, 31.798816376280445]], [[38.725975834383235, 29.46056377159172, 38.71216923960858, 41.142198992353336, 36.026084877124205, 32.015943551221454, 32.29432790970611, 37.678707082629735, 39.584853266235726, 37.70579937932512], [31.003032704566586, 31.969991606105687, 39.96554793807786, 42.99973779383219, 39.454447341682354, 36.946110823960595, 37.73177148964179, 43.91104655903011, 38.176234225694444, 31.798816376280424]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources - Source to Distortion', [31.654267480720403, 30.509880888730663], [31.65426748072045, 30.509880888730656]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources - Source to Interference', [41.53416899203668, 37.739787311321145], [41.534168992046155, 37.73978731132595]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources - Source to Artifact', [32.12569904260705, 31.42168013909822], [32.12569904260708, 31.421680139098243]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Sources - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images - Source to Distortion', [1.7583517906290023, 1.700757929346703], [1.7583517906290023, 1.700757929346703]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images - Image to Spatial', [1.759796121885325, 1.7032878401090057], [1.759796121885355, 1.703287840079689]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images - Source to Interference', [41.53416899210707, 37.73978731091043], [41.534168989923394, 37.73978780133325]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images - Source to Artifact', [32.12569904260668, 31.421680139098132], [32.125699044478075, 31.421680111910717]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images - Source permutation', [0, 1], [0, 1]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images Frames - Source to Distortion', [[1.7557212625185228, 1.7547138785946859, 1.7596843790872958, 1.759055848870768, 1.75875122726139, 1.7574519775193291, 1.7568176293537074, 1.7586480165943554, 1.7592363101234085, 1.7592638145539201], [1.6924649211005733, 1.7016692668632922, 1.7043722099280738, 1.7036499830252747, 1.7041040471838227, 1.7039242185501602, 1.7041741414448572, 1.7043970483380702, 1.702430129381245, 1.701751212753497]], [[1.7557212625185228, 1.7547138785946859, 1.7596843790872958, 1.759055848870768, 1.75875122726139, 1.7574519775193291, 1.7568176293537074, 1.7586480165943554, 1.7592363101234085, 1.7592638145539201], [1.6924649211005733, 1.7016692668632922, 1.7043722099280738, 1.7036499830252747, 1.7041040471838227, 1.7039242185501602, 1.7041741414448572, 1.7043970483380702, 1.702430129381245, 1.701751212753497]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images Frames - Image to Spatial', [[1.7564115904840918, 1.7597473682072862, 1.760286918217465, 1.7594335093388611, 1.7595170180900803, 1.7592760076462475, 1.7591737609121592, 1.7593912607029782, 1.7602184244030348, 1.7600362671204643], [1.699285156120375, 1.7045012461545552, 1.7050670369295942, 1.7046661474367222, 1.704990233558261, 1.7049335634192517, 1.7051655313635585, 1.7047425405296448, 1.7046661546428172, 1.7048499625725904]], [[1.7564115904843982, 1.7597473682073619, 1.7602869182174874, 1.7594335093388682, 1.7595170180900648, 1.7592760076460983, 1.759173760912185, 1.7593912607029725, 1.7602184244029835, 1.7600362671204637], [1.699285156121919, 1.7045012461538642, 1.7050670369289587, 1.704666147436396, 1.7049902335583038, 1.704933563419315, 1.7051655313634067, 1.7047425405294456, 1.7046661546430155, 1.7048499625703208]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images Frames - Source to Interference', [[37.056235054949816, 29.04314269434004, 38.359246562945934, 39.94487087963565, 39.60727483995146, 36.32235632345569, 32.80999282385412, 37.37369532533543, 34.47844491229937, 37.06690040957616], [27.845609707187997, 34.543374184608, 38.54337124412956, 35.2053260993043, 37.13331392742766, 38.312971129783456, 37.57026769612631, 41.027652962496255, 32.003487255501014, 33.39351433455339]], [[37.056235077774694, 29.043142694487507, 38.359246563037466, 39.94487087969612, 39.60727483971729, 36.32235632350306, 32.80999282286602, 37.37369532659421, 34.47844490855107, 37.066900409446795], [27.845610482247693, 34.54337418051188, 38.54337124491327, 35.20532609961636, 37.13331395958441, 38.312971130155766, 37.57026768559318, 41.02765296778991, 32.00348725880361, 33.39351433530094]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images Frames - Source to Artifact', [[38.72597579331918, 29.460563771589364, 38.71216923959473, 41.142198992413086, 36.02608487713168, 32.015943551137404, 32.29432790987082, 37.67870708255843, 39.5848532662423, 37.70579937933087], [31.003032727473794, 31.96999160602435, 39.96554793808072, 42.99973779382366, 39.454447341772806, 36.94611082396344, 37.73177148944011, 43.91104655873137, 38.17623422570736, 31.79881637627141]], [[38.72597583438812, 29.46056377170782, 38.71216923958582, 41.14219899235472, 36.02608487624218, 32.01594355122171, 32.29432790970482, 37.67870708376333, 39.58485326321377, 37.705799379313504], [31.003032704528973, 31.969991606882164, 39.965547938040004, 42.99973779384051, 39.45444733874109, 36.94611082395758, 37.73177148963505, 43.91104655926426, 38.17623422559254, 31.798816376335633]]) ... ok test_separation.test_separation_functions('data/separation/output07.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources Frames - Source to Distortion', [[16.192865169727398, 13.028356898467589, 14.893095079349168, 13.206184448743763, 11.278322194600843, 11.14968647895412, 13.481957165397048, 10.418114868053816, 13.680843762014248], [19.169286437514117, 22.332609796279115, 20.885016145238392, 23.175460225891218, 23.56971439313703, 25.417457455374446, 22.707319453703867, 19.75599474286405, 16.474911920022763], [20.149927282268468, 20.267695322224107, 18.49657266486927, 16.18703221162406, 19.02430214582426, 14.190596411379522, 16.882791388476374, 19.921302938784905, 21.25847055327712]], [[16.192865169727398, 13.028356898467596, 14.893095079349159, 13.206184448743779, 11.278322194600843, 11.149686478954122, 13.481957165397043, 10.418114868053863, 13.680843762014243], [19.16928643751411, 22.33260979627913, 20.88501614523839, 23.17546022589123, 23.569714393137026, 25.417457455374443, 22.707319453703875, 19.755994742864043, 16.47491192002275], [20.149927282268454, 20.267695322224103, 18.496572664869277, 16.18703221162405, 19.024302145824258, 14.190596411379516, 16.88279138847638, 19.921302938784912, 21.2584705532771]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources Frames - Source to Interference', [[16.288295944254287, 13.118430948793069, 14.930286338844812, 13.26497237573224, 11.365058045473152, 11.200327717897121, 13.565470416609948, 10.46702330336386, 13.865385501412732], [19.51303525350226, 22.42708500876551, 21.00741085973366, 23.300468616946624, 23.734218621011443, 25.514157938597105, 22.775316453221972, 19.874311596630537, 16.583023470786664], [20.317541858432516, 20.345014175382467, 18.562319615590216, 16.269550623802797, 19.2412107076026, 14.207980883206822, 16.920950511067318, 19.97320738688581, 21.362175530655772]], [[16.288295958752727, 13.118430955873595, 14.930286338199622, 13.264972384336719, 11.365058006587974, 11.200327720655764, 13.56547042390435, 10.467023286202862, 13.865385487811974], [19.51303533008609, 22.42708511693099, 21.00741091217366, 23.30046863949658, 23.734218387200183, 25.514157962740356, 22.775316455057478, 19.874311587607504, 16.583023468025996], [20.31754190446126, 20.345014205362993, 18.562319621923248, 16.269550631841422, 19.241210680291484, 14.207980885183762, 16.920950511451522, 19.97320737927088, 21.36217552372802]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources Frames - Source to Artifact', [[32.92235489516034, 30.111966640968404, 35.72247463880562, 32.12060555329681, 28.623592106857885, 30.825308450823982, 30.870941019369205, 30.30003790624555, 27.664459178529096], [30.40377069535074, 39.02918697352008, 36.480585812638964, 38.666530090064214, 37.886135378644504, 42.00145811424097, 40.817080879572735, 35.50687209180296, 32.66233068087573], [34.40837037083665, 37.84121399878579, 36.78854474023335, 33.54189410441306, 32.19879673377237, 38.33727533716254, 37.551076541040175, 39.216506650365744, 37.56168867993216]], [[32.92235489483052, 30.111966640647857, 35.72247463881086, 32.12060555291033, 28.623592109542486, 30.825308450625837, 30.870941019057348, 30.30003790763802, 27.664459179077237], [30.403770694506083, 39.02918697290886, 36.480585812213675, 38.66653008995361, 37.88613537966818, 42.00145811413804, 40.81708087956089, 35.50687209189353, 32.66233068093355], [34.40837037041166, 37.84121399852104, 36.788544740106815, 33.54189410422633, 32.19879673409346, 38.33727533707226, 37.55107654103121, 39.216506650434496, 37.56168867998662]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources - Source to Distortion', [12.658621714161626, 19.353779851187298, 16.490559932201602], [12.658621714161605, 19.353779851187323, 16.490559932201563]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources - Source to Interference', [16.647925855284655, 24.298418680851135, 19.534653909765257], [16.647925846010466, 24.298418678982788, 19.534653901953313]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources - Source to Artifact', [14.963487364278937, 21.046620560073066, 19.515401108602184], [14.963487364475371, 21.04662056008085, 19.51540110868908]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Sources - Source permutation', [0, 1, 2], [0, 1, 2]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images - Source to Distortion', [5.564462357516159, 13.543786828358558, 14.790182930065344], [5.564462357516159, 13.543786828358558, 14.790182930065344]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images - Image to Spatial', [5.944542395031808, 15.36463781077956, 19.388466227622484], [5.944542395012337, 15.364637810803266, 19.388466227656373]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images - Source to Interference', [16.64792582344479, 24.2984186206421, 19.534653840200683], [16.647925479510807, 24.298418874234812, 19.53465377105395]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images - Source to Artifact', [14.963487365071302, 21.04662056029116, 19.515401109360347], [14.963487374060156, 21.046620558943488, 19.515401109517914]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images - Source permutation', [0, 1, 2], [0, 1, 2]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images Frames - Source to Distortion', [[5.294990460101518, 4.687705558241064, 7.15239687398372, 7.056277354255535, 4.836621026089924, 4.606203323283599, 4.476283581464221, 4.4513527353179505, 5.505522083738992], [13.375814667564757, 13.234386523239749, 13.962318060375573, 14.47242477721307, 14.680861756879459, 14.944545542008466, 14.546485099539886, 12.898782981988798, 11.774378159344677], [19.453436963657346, 18.773763229989346, 15.7382856333261, 11.788681629922612, 11.315202779808523, 13.41549683555196, 15.396491568239512, 18.668470174410317, 17.65413081367002]], [[5.294990460101518, 4.687705558241064, 7.15239687398372, 7.056277354255535, 4.836621026089924, 4.606203323283599, 4.476283581464221, 4.4513527353179505, 5.505522083738992], [13.375814667564757, 13.234386523239749, 13.962318060375573, 14.47242477721307, 14.680861756879459, 14.944545542008466, 14.546485099539886, 12.898782981988798, 11.774378159344677], [19.453436963657346, 18.773763229989346, 15.7382856333261, 11.788681629922612, 11.315202779808523, 13.41549683555196, 15.396491568239512, 18.668470174410317, 17.65413081367002]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images Frames - Image to Spatial', [[5.399685549295005, 4.8166755521923434, 7.641548903890143, 7.855560444618744, 5.314916078154376, 4.863921460740071, 4.585930784611897, 4.653510899283258, 5.780728409421238], [15.028813235750839, 13.968520558759161, 15.350564189621439, 15.346538452552211, 15.514240646183165, 15.5070509716777, 15.553893947515371, 14.286480610468605, 14.269466349298288], [27.89793080738105, 24.26770806632048, 18.894550278741093, 13.600079956665255, 12.013564755859004, 21.00702939377751, 20.871187088272393, 24.378951414253333, 20.072858575478687]], [[5.399685549299138, 4.816675552115289, 7.641548903848636, 7.855560444625053, 5.314916078156076, 4.863921460742268, 4.585930784612097, 4.6535108992860845, 5.78072840942011], [15.028813235733114, 13.968520558761492, 15.350564189566917, 15.346538452591087, 15.514240646162706, 15.507050971670694, 15.553893947514421, 14.286480610504693, 14.269466348586892], [27.897930807565523, 24.26770806636389, 18.894550278738468, 13.600079956657346, 12.013564755866623, 21.007029393784368, 20.871187088270126, 24.378951406104598, 20.072858575521476]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images Frames - Source to Interference', [[16.28829703368314, 13.118431012780762, 14.93028635423812, 13.26497226832878, 11.365058494815923, 11.200327417086502, 13.56547033974326, 10.467024189212633, 13.865385123140818], [19.51302994427313, 22.42708314187496, 21.007410817080792, 23.30046793947327, 23.734205081424598, 25.514158703021632, 22.77531646301595, 19.87431184728694, 16.58302348325835], [20.317545115756033, 20.345013600019524, 18.56231957578133, 16.269550655796245, 19.241211553652956, 14.207980736756117, 16.92095049052323, 19.973207785242074, 21.362175152654356]], [[16.288298722144038, 13.11843104098601, 14.93028616587486, 13.2649721932521, 11.365054983910273, 11.200328214591442, 13.565470544044487, 10.467023396120922, 13.865383757870347], [19.513039699388695, 22.42707966527728, 21.007411139412852, 23.300468118797344, 23.734193134223283, 25.514168159637173, 22.77531645692427, 19.87431171391975, 16.583023375565034], [20.317548379871347, 20.345012200602774, 18.56231909329937, 16.2695504711067, 19.241209935568143, 14.207980823648864, 16.920950527564614, 19.973207276296236, 21.362175129090893]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images Frames - Source to Artifact', [[32.92235485337571, 30.111966632329054, 35.72247463664636, 32.12060555257939, 28.623592039643867, 30.82530841012528, 30.870941021363706, 30.300037164487467, 27.664459232455634], [30.40377022533579, 39.029187058146164, 36.4805857927591, 38.66653005870923, 37.88613418782952, 42.00145810053662, 40.817080877759906, 35.50687205654476, 32.6623307933441], [34.40836961763896, 37.84121400602414, 36.78854472581556, 33.54189410138828, 32.19879646604604, 38.33727529999372, 37.551076540804495, 39.216506307666506, 37.561688788049196]], [[32.922354537610794, 30.11196661488308, 35.72247463305713, 32.12060552923858, 28.623592081799295, 30.825308079137642, 30.870941012978133, 30.30003772490787, 27.664459350203707], [30.40377049649575, 39.02918663674912, 36.48058577529872, 38.66653003496973, 37.886134635059214, 42.00145670488575, 40.81708087807754, 35.50687207789059, 32.66233065310512], [34.408370059844664, 37.84121390962211, 36.78854469136054, 33.541894094549335, 32.19879667507221, 38.33727532234484, 37.551076539971504, 39.21650683048246, 37.56168803523778]]) ... ok test_separation.test_separation_functions('data/separation/output08.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources Frames - Source to Distortion', [[12.119934389970282, 9.839136413593966, 10.104607545126449, 14.831744400673227, 10.402492739711427, 9.96279278832189, 7.591397020480598, 6.953836345225301, 19.310138680395568, 14.789903496557455, 11.069772397512516, 10.153206550236122, 9.717806202451957, 7.90802327547242, 8.189812854799028, 18.577301858851143]], [[12.119934389970112, 9.839136413593899, 10.104607545126424, 14.83174440067323, 10.402492739711457, 9.962792788321892, 7.591397020480595, 6.953836345225294, 19.31013868039556, 14.789903496557441, 11.069772397512526, 10.153206550236124, 9.717806202451953, 7.908023275472441, 8.189812854799017, 18.577301858851083]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources Frames - Source to Interference', [[inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf]], [[inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf, inf]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources Frames - Source to Artifact', [[12.119934389970282, 9.839136413593966, 10.104607545126449, 14.831744400673227, 10.402492739711427, 9.96279278832189, 7.591397020480598, 6.953836345225301, 19.310138680395568, 14.789903496557455, 11.069772397512516, 10.153206550236122, 9.717806202451957, 7.90802327547242, 8.189812854799028, 18.577301858851143]], [[12.119934389970112, 9.839136413593899, 10.104607545126424, 14.83174440067323, 10.402492739711457, 9.962792788321892, 7.591397020480595, 6.953836345225294, 19.31013868039556, 14.789903496557441, 11.069772397512526, 10.153206550236124, 9.717806202451953, 7.908023275472441, 8.189812854799017, 18.577301858851083]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources - Source to Distortion', [6.5338360355732465], [6.533836035573265]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources - Source to Interference', [inf], [inf]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources - Source to Artifact', [6.5338360355732465], [6.533836035573265]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Sources - Source permutation', [0], [0]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images - Source to Distortion', [-5.124915966181872], [-5.124915966181872]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images - Image to Spatial', [-4.220713809183126], [-4.220713809183423]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images - Source to Interference', [inf], [inf]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images - Source to Artifact', [6.533836035572263], [6.533836035573084]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images - Source permutation', [0], [0]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images Frames - Source to Distortion', [[-2.051176730267349, -5.146884744328681, -6.734284215137559, -3.6310338903056136, -4.122510730027927, -4.167078355532121]], [[-2.051176730267349, -5.146884744328681, -6.734284215137559, -3.6310338903056136, -4.122510730027927, -4.167078355532121]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images Frames - Image to Spatial', [[-0.27238760025938163, -4.0209058701087965, -6.3014025202592325, -2.8528030817920236, -3.71881789989867, -3.225307329368019]], [[-0.27238760025916553, -4.020905870109551, -6.301402520259074, -2.852803081793685, -3.718817899898826, -3.225307329367855]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images Frames - Source to Interference', [[inf, inf, inf, inf, inf, inf]], [[inf, inf, inf, inf, inf, inf]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images Frames - Source to Artifact', [[8.088869387876155, 5.9481799951820165, 8.011113169865157, 8.942785959168623, 11.216100461431232, 7.37961274641131]], [[8.08886938787347, 5.948179995182407, 8.011113169865057, 8.942785959170472, 11.216100461431367, 7.379612746411304]]) ... ok test_separation.test_separation_functions('data/separation/output09.json', 'Images Frames - Source permutation', [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]) ... ok test_tempo.test_zero_tolerance_pass ... ok test_tempo.test_tempo_pass(array([50, 50]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_pass(array([ 60, 120]), 0.5, array([50, 50]), 0.08) ... ok test_tempo.test_tempo_pass(array([ 0, 50]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_pass(array([ 60, 120]), 0.5, array([ 0, 50]), 0.08) ... ok test_tempo.test_tempo_pass(array([50, 0]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_pass(array([ 60, 120]), 0.5, array([50, 0]), 0.08) ... ok test_tempo.test_tempo_pass(array([ 60, 120]), 0.5, array([0, 0]), 0.08) ... ok test_tempo.test_tempo_fail(array([-1, -1]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([-1, -1]), 0.08) ... ok test_tempo.test_tempo_fail(array([-1, 0]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([-1, 0]), 0.08) ... ok test_tempo.test_tempo_fail(array([-1, 50]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([-1, 50]), 0.08) ... ok test_tempo.test_tempo_fail(array([0, 1, 2]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([0, 1, 2]), 0.08) ... ok test_tempo.test_tempo_fail(array([0]), 0.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([0]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), -1, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 1.5, array([120, 180]), 0.08) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([120, 180]), -1) ... ok test_tempo.test_tempo_fail(array([ 60, 120]), 0.5, array([120, 180]), 1.5) ... ok test_tempo.test_tempo_fail(array([0, 0]), 0.5, array([ 60, 120]), 0.08) ... ok test_tempo.test_tempo_regression('data/tempo/output00.json', 'P-score', 0.75, 0.75) ... ok test_tempo.test_tempo_regression('data/tempo/output00.json', 'One-correct', True, True) ... ok test_tempo.test_tempo_regression('data/tempo/output00.json', 'Both-correct', False, False) ... ok test_tempo.test_tempo_regression('data/tempo/output01.json', 'P-score', 0.5, 0.5) ... ok test_tempo.test_tempo_regression('data/tempo/output01.json', 'One-correct', True, True) ... ok test_tempo.test_tempo_regression('data/tempo/output01.json', 'Both-correct', False, False) ... ok test_tempo.test_tempo_regression('data/tempo/output02.json', 'P-score', 0.25, 0.25) ... ok test_tempo.test_tempo_regression('data/tempo/output02.json', 'One-correct', True, True) ... ok test_tempo.test_tempo_regression('data/tempo/output02.json', 'Both-correct', False, False) ... ok test_tempo.test_tempo_regression('data/tempo/output03.json', 'P-score', 1.0, 1.0) ... ok test_tempo.test_tempo_regression('data/tempo/output03.json', 'One-correct', True, True) ... ok test_tempo.test_tempo_regression('data/tempo/output03.json', 'Both-correct', True, True) ... ok test_transcription.test_match_note_offsets ... ok test_transcription.test_match_note_offsets_strict ... ok test_transcription.test_match_note_onsets ... ok test_transcription.test_match_note_onsets_strict ... ok test_transcription.test_match_notes ... ok test_transcription.test_match_notes_strict ... ok test_transcription.test_precision_recall_f1_overlap ... ok test_transcription.test_onset_precision_recall_f1 ... ok test_transcription.test_offset_precision_recall_f1 ... ok test_transcription.test_regression(0.08173076923076923, 0.08173076923076923) ... ok test_transcription.test_regression(0.07234042553191489, 0.07234042553191489) ... ok test_transcription.test_regression(0.07674943566591423, 0.07674943566591423) ... ok test_transcription.test_regression(0.8876819511536995, 0.8876819511536995) ... ok test_transcription.test_regression(0.16826923076923078, 0.16826923076923078) ... ok test_transcription.test_regression(0.14893617021276595, 0.14893617021276595) ... ok test_transcription.test_regression(0.1580135440180587, 0.1580135440180587) ... ok test_transcription.test_regression(0.6158246059728274, 0.6158246059728274) ... ok test_transcription.test_regression(0.30288461538461536, 0.30288461538461536) ... ok test_transcription.test_regression(0.2680851063829787, 0.2680851063829787) ... ok test_transcription.test_regression(0.28442437923250563, 0.28442437923250563) ... ok test_transcription.test_regression(0.7980769230769231, 0.7980769230769231) ... ok test_transcription.test_regression(0.7063829787234043, 0.7063829787234043) ... ok test_transcription.test_regression(0.7494356659142212, 0.7494356659142212) ... ok test_transcription.test_regression(0.2446043165467626, 0.2446043165467626) ... ok test_transcription.test_regression(0.11486486486486487, 0.11486486486486487) ... ok test_transcription.test_regression(0.15632183908045977, 0.15632183908045977) ... ok test_transcription.test_regression(0.769326740555382, 0.769326740555382) ... ok test_transcription.test_regression(0.5467625899280576, 0.5467625899280576) ... ok test_transcription.test_regression(0.25675675675675674, 0.25675675675675674) ... ok test_transcription.test_regression(0.34942528735632183, 0.34942528735632183) ... ok test_transcription.test_regression(0.5815145027870183, 0.5815145027870183) ... ok test_transcription.test_regression(0.7697841726618705, 0.7697841726618705) ... ok test_transcription.test_regression(0.3614864864864865, 0.3614864864864865) ... ok test_transcription.test_regression(0.49195402298850577, 0.49195402298850577) ... ok test_transcription.test_regression(0.8345323741007195, 0.8345323741007195) ... ok test_transcription.test_regression(0.3918918918918919, 0.3918918918918919) ... ok test_transcription.test_regression(0.5333333333333333, 0.5333333333333333) ... ok test_transcription.test_regression(0.1164021164021164, 0.1164021164021164) ... ok test_transcription.test_regression(0.15942028985507245, 0.15942028985507245) ... ok test_transcription.test_regression(0.1345565749235474, 0.1345565749235474) ... ok test_transcription.test_regression(0.871948149157037, 0.871948149157037) ... ok test_transcription.test_regression(0.3492063492063492, 0.3492063492063492) ... ok test_transcription.test_regression(0.4782608695652174, 0.4782608695652174) ... ok test_transcription.test_regression(0.40366972477064217, 0.40366972477064217) ... ok test_transcription.test_regression(0.5872969022531906, 0.5872969022531906) ... ok test_transcription.test_regression(0.4126984126984127, 0.4126984126984127) ... ok test_transcription.test_regression(0.5652173913043478, 0.5652173913043478) ... ok test_transcription.test_regression(0.4770642201834862, 0.4770642201834862) ... ok test_transcription.test_regression(0.5132275132275133, 0.5132275132275133) ... ok test_transcription.test_regression(0.7028985507246377, 0.7028985507246377) ... ok test_transcription.test_regression(0.5932721712538227, 0.5932721712538227) ... ok test_transcription.test_regression(0.08256880733944955, 0.08256880733944955) ... ok test_transcription.test_regression(0.07692307692307693, 0.07692307692307693) ... ok test_transcription.test_regression(0.07964601769911504, 0.07964601769911504) ... ok test_transcription.test_regression(0.8314487272318605, 0.8314487272318605) ... ok test_transcription.test_regression(0.46788990825688076, 0.46788990825688076) ... ok test_transcription.test_regression(0.4358974358974359, 0.4358974358974359) ... ok test_transcription.test_regression(0.45132743362831856, 0.45132743362831856) ... ok test_transcription.test_regression(0.5362564257382734, 0.5362564257382734) ... ok test_transcription.test_regression(0.5412844036697247, 0.5412844036697247) ... ok test_transcription.test_regression(0.5042735042735043, 0.5042735042735043) ... ok test_transcription.test_regression(0.5221238938053097, 0.5221238938053097) ... ok test_transcription.test_regression(0.5321100917431193, 0.5321100917431193) ... ok test_transcription.test_regression(0.49572649572649574, 0.49572649572649574) ... ok test_transcription.test_regression(0.5132743362831859, 0.5132743362831859) ... ok test_transcription.test_regression(0.1270718232044199, 0.1270718232044199) ... ok test_transcription.test_regression(0.11917098445595854, 0.11917098445595854) ... ok test_transcription.test_regression(0.12299465240641712, 0.12299465240641712) ... ok test_transcription.test_regression(0.7947923160052114, 0.7947923160052114) ... ok test_transcription.test_regression(0.7734806629834254, 0.7734806629834254) ... ok test_transcription.test_regression(0.7253886010362695, 0.7253886010362695) ... ok test_transcription.test_regression(0.748663101604278, 0.748663101604278) ... ok test_transcription.test_regression(0.4977096325052228, 0.4977096325052228) ... ok test_transcription.test_regression(0.861878453038674, 0.861878453038674) ... ok test_transcription.test_regression(0.8082901554404145, 0.8082901554404145) ... ok test_transcription.test_regression(0.8342245989304813, 0.8342245989304813) ... ok test_transcription.test_regression(0.6850828729281768, 0.6850828729281768) ... ok test_transcription.test_regression(0.6424870466321243, 0.6424870466321243) ... ok test_transcription.test_regression(0.6631016042780749, 0.6631016042780749) ... ok test_transcription.test_regression(0.0, 0.0) ... ok test_transcription.test_regression(0.0, 0.0) ... ok test_transcription.test_regression(0.0, 0.0) ... ok test_transcription.test_regression(0, 0) ... ok test_transcription.test_regression(0.03333333333333333, 0.03333333333333333) ... ok test_transcription.test_regression(0.07291666666666667, 0.07291666666666667) ... ok test_transcription.test_regression(0.0457516339869281, 0.0457516339869281) ... ok test_transcription.test_regression(0.4148171330016777, 0.4148171330016777) ... ok test_transcription.test_regression(0.1523809523809524, 0.1523809523809524) ... ok test_transcription.test_regression(0.3333333333333333, 0.3333333333333333) ... ok test_transcription.test_regression(0.20915032679738563, 0.20915032679738563) ... ok test_transcription.test_regression(0.38571428571428573, 0.38571428571428573) ... ok test_transcription.test_regression(0.84375, 0.84375) ... ok test_transcription.test_regression(0.5294117647058824, 0.5294117647058824) ... ok test_transcription.test_regression(0.2, 0.2) ... ok test_transcription.test_regression(0.18181818181818182, 0.18181818181818182) ... ok test_transcription.test_regression(0.1904761904761905, 0.1904761904761905) ... ok test_transcription.test_regression(0.7360207716693523, 0.7360207716693523) ... ok test_transcription.test_regression(0.37857142857142856, 0.37857142857142856) ... ok test_transcription.test_regression(0.34415584415584416, 0.34415584415584416) ... ok test_transcription.test_regression(0.36054421768707484, 0.36054421768707484) ... ok test_transcription.test_regression(0.6010432591635558, 0.6010432591635558) ... ok test_transcription.test_regression(0.6928571428571428, 0.6928571428571428) ... ok test_transcription.test_regression(0.6298701298701299, 0.6298701298701299) ... ok test_transcription.test_regression(0.6598639455782312, 0.6598639455782312) ... ok test_transcription.test_regression(0.7357142857142858, 0.7357142857142858) ... ok test_transcription.test_regression(0.6688311688311688, 0.6688311688311688) ... ok test_transcription.test_regression(0.7006802721088435, 0.7006802721088435) ... ok test_transcription.test_regression(0.13227513227513227, 0.13227513227513227) ... ok test_transcription.test_regression(0.07861635220125786, 0.07861635220125786) ... ok test_transcription.test_regression(0.09861932938856015, 0.09861932938856015) ... ok test_transcription.test_regression(0.7345905244861387, 0.7345905244861387) ... ok test_transcription.test_regression(0.4074074074074074, 0.4074074074074074) ... ok test_transcription.test_regression(0.24213836477987422, 0.24213836477987422) ... ok test_transcription.test_regression(0.3037475345167653, 0.3037475345167653) ... ok test_transcription.test_regression(0.5024911056144247, 0.5024911056144247) ... ok test_transcription.test_regression(0.708994708994709, 0.708994708994709) ... ok test_transcription.test_regression(0.42138364779874216, 0.42138364779874216) ... ok test_transcription.test_regression(0.5285996055226824, 0.5285996055226824) ... ok test_transcription.test_regression(0.7037037037037037, 0.7037037037037037) ... ok test_transcription.test_regression(0.41823899371069184, 0.41823899371069184) ... ok test_transcription.test_regression(0.52465483234714, 0.52465483234714) ... ok test_transcription.test_regression(0.19270833333333334, 0.19270833333333334) ... ok test_transcription.test_regression(0.09226932668329177, 0.09226932668329177) ... ok test_transcription.test_regression(0.12478920741989884, 0.12478920741989884) ... ok test_transcription.test_regression(0.7225674750601623, 0.7225674750601623) ... ok test_transcription.test_regression(0.453125, 0.453125) ... ok test_transcription.test_regression(0.2169576059850374, 0.2169576059850374) ... ok test_transcription.test_regression(0.2934232715008432, 0.2934232715008432) ... ok test_transcription.test_regression(0.484764677268213, 0.484764677268213) ... ok test_transcription.test_regression(0.6458333333333334, 0.6458333333333334) ... ok test_transcription.test_regression(0.3092269326683292, 0.3092269326683292) ... ok test_transcription.test_regression(0.41821247892074204, 0.41821247892074204) ... ok test_transcription.test_regression(0.6875, 0.6875) ... ok test_transcription.test_regression(0.32917705735660846, 0.32917705735660846) ... ok test_transcription.test_regression(0.44519392917369305, 0.44519392917369305) ... ok test_transcription.test_regression(0.13191489361702127, 0.13191489361702127) ... ok test_transcription.test_regression(0.09967845659163987, 0.09967845659163987) ... ok test_transcription.test_regression(0.11355311355311355, 0.11355311355311355) ... ok test_transcription.test_regression(0.8112980953327348, 0.8112980953327348) ... ok test_transcription.test_regression(0.42127659574468085, 0.42127659574468085) ... ok test_transcription.test_regression(0.3183279742765273, 0.3183279742765273) ... ok test_transcription.test_regression(0.3626373626373626, 0.3626373626373626) ... ok test_transcription.test_regression(0.5651765582960525, 0.5651765582960525) ... ok test_transcription.test_regression(0.6170212765957447, 0.6170212765957447) ... ok test_transcription.test_regression(0.4662379421221865, 0.4662379421221865) ... ok test_transcription.test_regression(0.531135531135531, 0.531135531135531) ... ok test_transcription.test_regression(0.7574468085106383, 0.7574468085106383) ... ok test_transcription.test_regression(0.572347266881029, 0.572347266881029) ... ok test_transcription.test_regression(0.652014652014652, 0.652014652014652) ... ok test_transcription.test_invalid_pitch(array([[0, 1]]), array([-100]), array([[0, 1]]), array([100])) ... ok test_transcription.test_invalid_pitch(array([[0, 1]]), array([100]), array([[0, 1]]), array([-100])) ... ok test_transcription.test_inconsistent_int_pitch(array([[0, 1], ... ok test_transcription.test_inconsistent_int_pitch(array([[0, 1]]), array([100]), array([[0, 1], ... ok test_transcription.test_empty_ref ... ok test_transcription.test_empty_est ... ok test_transcription.test_precision_recall_f1_overlap_empty ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:165: UserWarning: Reference notes are empty. warnings.warn("Reference notes are empty.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:167: UserWarning: Estimated notes are empty. warnings.warn("Estimated notes are empty.") ok test_transcription.test_onset_precision_recall_f1_empty ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:165: UserWarning: Reference notes are empty. warnings.warn("Reference notes are empty.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:167: UserWarning: Estimated notes are empty. warnings.warn("Estimated notes are empty.") ok test_transcription.test_offset_precision_recall_f1_empty ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:165: UserWarning: Reference notes are empty. warnings.warn("Reference notes are empty.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:167: UserWarning: Estimated notes are empty. warnings.warn("Estimated notes are empty.") ok test_transcription_velocity.test_negative_velocity(array([[0, 1]]), array([100]), array([-1]), array([[0, 1]]), array([100]), array([1])) ... ok test_transcription_velocity.test_negative_velocity(array([[0, 1]]), array([100]), array([1]), array([[0, 1]]), array([100]), array([-1])) ... ok test_transcription_velocity.test_wrong_shape_velocity(array([[0, 1]]), array([100]), array([1, 2]), array([[0, 1]]), array([100]), array([1])) ... ok test_transcription_velocity.test_wrong_shape_velocity(array([[0, 1]]), array([100]), array([1]), array([[0, 1]]), array([100]), array([1, 2])) ... ok test_transcription_velocity.test_precision_recall_f1_overlap ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( ok test_transcription_velocity.test_precision_recall_f1_overlap_empty ... /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:167: UserWarning: Estimated notes are empty. warnings.warn("Estimated notes are empty.") /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py:165: UserWarning: Reference notes are empty. warnings.warn("Reference notes are empty.") ok test_transcription_velocity.test_precision_recall_f1_overlap_no_overlap ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.41062534587714444, 0.41062534587714444) ... ok test_transcription_velocity.test_regression(0.37915176290240166, 0.37915176290240166) ... ok test_transcription_velocity.test_regression(0.39426142401700326, 0.39426142401700326) ... ok test_transcription_velocity.test_regression(0.8562035496966018, 0.8562035496966018) ... ok test_transcription_velocity.test_regression(0.7000553403431101, 0.7000553403431101) ... ok test_transcription_velocity.test_regression(0.6463975472662238, 0.6463975472662238) ... ok test_transcription_velocity.test_regression(0.6721572794899044, 0.6721572794899044) ... ok test_transcription_velocity.test_regression(0.696084896276489, 0.696084896276489) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.33754512635379064, 0.33754512635379064) ... ok test_transcription_velocity.test_regression(0.33754512635379064, 0.33754512635379064) ... ok test_transcription_velocity.test_regression(0.33754512635379064, 0.33754512635379064) ... ok test_transcription_velocity.test_regression(0.8555580621632016, 0.8555580621632016) ... ok test_transcription_velocity.test_regression(0.5794223826714802, 0.5794223826714802) ... ok test_transcription_velocity.test_regression(0.5794223826714802, 0.5794223826714802) ... ok test_transcription_velocity.test_regression(0.5794223826714802, 0.5794223826714802) ... ok test_transcription_velocity.test_regression(0.7419337908739874, 0.7419337908739874) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.17532971295577968, 0.1761055081458495) ... ok test_transcription_velocity.test_regression(0.15586206896551724, 0.15655172413793103) ... ok test_transcription_velocity.test_regression(0.16502373128879153, 0.16575392479006937) ... ok test_transcription_velocity.test_regression(0.6346439422322657, 0.6339212298653343) ... ok test_transcription_velocity.test_regression(0.5865011636927852, 0.5865011636927852) ... ok test_transcription_velocity.test_regression(0.5213793103448275, 0.5213793103448275) ... ok test_transcription_velocity.test_regression(0.552026286966046, 0.552026286966046) ... ok test_transcription_velocity.test_regression(0.4720752936805029, 0.4720752936805029) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.46438450899031813, 0.46438450899031813) ... ok test_transcription_velocity.test_regression(0.46778126088470917, 0.46778126088470917) ... ok test_transcription_velocity.test_regression(0.46607669616519176, 0.46607669616519176) ... ok test_transcription_velocity.test_regression(0.8933130962405428, 0.8933130962405428) ... ok test_transcription_velocity.test_regression(0.6756569847856155, 0.6756569847856155) ... ok test_transcription_velocity.test_regression(0.6805990943921978, 0.6805990943921978) ... ok test_transcription_velocity.test_regression(0.6781190352247094, 0.6781190352247094) ... ok test_transcription_velocity.test_regression(0.7935061683198985, 0.7935061683198985) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.44022011005502754, 0.44022011005502754) ... ok test_transcription_velocity.test_regression(0.332703213610586, 0.332703213610586) ... ok test_transcription_velocity.test_regression(0.3789836347975883, 0.3789836347975883) ... ok test_transcription_velocity.test_regression(0.8454735050026583, 0.8454735050026583) ... ok test_transcription_velocity.test_regression(0.7008504252126063, 0.7008504252126063) ... ok test_transcription_velocity.test_regression(0.5296786389413989, 0.5296786389413989) ... ok test_transcription_velocity.test_regression(0.603359173126615, 0.603359173126615) ... ok test_transcription_velocity.test_regression(0.7201617111516434, 0.7201617111516434) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.32124930284439485, 0.32124930284439485) ... ok test_transcription_velocity.test_regression(0.31101511879049676, 0.31101511879049676) ... ok test_transcription_velocity.test_regression(0.3160493827160494, 0.3160493827160494) ... ok test_transcription_velocity.test_regression(0.8372286735500298, 0.8372286735500298) ... ok test_transcription_velocity.test_regression(0.6252091466815394, 0.6252091466815394) ... ok test_transcription_velocity.test_regression(0.6052915766738661, 0.6052915766738661) ... ok test_transcription_velocity.test_regression(0.6150891632373114, 0.6150891632373114) ... ok test_transcription_velocity.test_regression(0.6540703679868634, 0.6540703679868634) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.4370477568740955, 0.4370477568740955) ... ok test_transcription_velocity.test_regression(0.3647342995169082, 0.3647342995169082) ... ok test_transcription_velocity.test_regression(0.3976300197498354, 0.3976300197498354) ... ok test_transcription_velocity.test_regression(0.8822838814507282, 0.8822838814507282) ... ok test_transcription_velocity.test_regression(0.7098408104196816, 0.7098408104196816) ... ok test_transcription_velocity.test_regression(0.592391304347826, 0.592391304347826) ... ok test_transcription_velocity.test_regression(0.6458196181698486, 0.6458196181698486) ... ok test_transcription_velocity.test_regression(0.7471297378130326, 0.7471297378130326) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.30756578947368424, 0.30756578947368424) ... ok test_transcription_velocity.test_regression(0.280359820089955, 0.280359820089955) ... ok test_transcription_velocity.test_regression(0.29333333333333333, 0.29333333333333333) ... ok test_transcription_velocity.test_regression(0.8874841539695477, 0.8874841539695477) ... ok test_transcription_velocity.test_regression(0.5197368421052632, 0.5197368421052632) ... ok test_transcription_velocity.test_regression(0.4737631184407796, 0.4737631184407796) ... ok test_transcription_velocity.test_regression(0.4956862745098039, 0.4956862745098039) ... ok test_transcription_velocity.test_regression(0.7011687042397756, 0.7011687042397756) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.3445705024311183, 0.3445705024311183) ... ok test_transcription_velocity.test_regression(0.2888586956521739, 0.2888586956521739) ... ok test_transcription_velocity.test_regression(0.31426459719142646, 0.31426459719142646) ... ok test_transcription_velocity.test_regression(0.8369252164559063, 0.8369252164559063) ... ok test_transcription_velocity.test_regression(0.6512155591572123, 0.6512155591572123) ... ok test_transcription_velocity.test_regression(0.5459239130434783, 0.5459239130434783) ... ok test_transcription_velocity.test_regression(0.593939393939394, 0.593939393939394) ... ok test_transcription_velocity.test_regression(0.6678654264520998, 0.6678654264520998) ... ok /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py:185: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`. slope, intercept = np.linalg.lstsq( test_transcription_velocity.test_regression(0.4347258485639687, 0.4347258485639687) ... ok test_transcription_velocity.test_regression(0.415211970074813, 0.415211970074813) ... ok test_transcription_velocity.test_regression(0.42474489795918374, 0.42474489795918374) ... ok test_transcription_velocity.test_regression(0.8655241964749644, 0.8655241964749644) ... ok test_transcription_velocity.test_regression(0.701976874300634, 0.701976874300634) ... ok test_transcription_velocity.test_regression(0.6704666904168151, 0.6704666904168151) ... ok test_transcription_velocity.test_regression(0.6858600583090378, 0.6858600583090378) ... ok test_transcription_velocity.test_regression(0.7234184926475985, 0.7234184926475985) ... ok Check that an interval set is interpolated properly, with boundaries ... ok Check that an interval set is interpolated properly, with gaps. ... ok Check that interpolate_intervals throws an exception if ... ok Check that an interval set is sampled properly, with boundaries ... ok Check that two non-identical yield correct results. ... ok Check that two labeled interval sequences merge correctly. ... ok test_util.test_boundaries_to_intervals ... ok test_util.test_adjust_events ... ok test_util.test_bipartite_match ... ok test_util.test_outer_distance_mod_n ... ok test_util.test_match_events ... ok test_util.test_fast_hit_windows ... ok test_util.test_validate_intervals ... ok test_util.test_validate_events ... ok test_util.test_validate_frequencies ... ok test_util.test_has_kwargs(False, .f1 at 0x7fb81dbcb240>) ... ok test_util.test_has_kwargs(False, .f2 at 0x7fb81dba0d60>) ... ok test_util.test_has_kwargs(False, .f3 at 0x7fb81da36520>) ... ok test_util.test_has_kwargs(True, .f4 at 0x7fb81da36660>) ... ok test_util.test_has_kwargs(True, .f5 at 0x7fb81da36700>) ... ok test_util.test_sort_labeled_intervals(array([[10, 20], ... ok test_util.test_sort_labeled_intervals(array([[10, 20], ... ok test_util.test_sort_labeled_intervals(array([[ 0, 10], ... ok test_util.test_sort_labeled_intervals(array([[ 0, 10], ... ok ---------------------------------------------------------------------- Ran 1465 tests in 20138.962s OK create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild dh_auto_install -O--buildsystem=pybuild I: pybuild base:240: /usr/bin/python3 setup.py install --root /build/mir-eval-0.7/debian/python3-mir-eval running install /usr/lib/python3/dist-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( running build running build_py running install_lib creating /build/mir-eval-0.7/debian/python3-mir-eval creating /build/mir-eval-0.7/debian/python3-mir-eval/usr creating /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib creating /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11 creating /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages creating /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval creating /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/transcription_velocity.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/transcription.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/hierarchy.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/pattern.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/multipitch.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/melody.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/sonify.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/separation.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/segment.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/onset.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/tempo.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/key.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/io.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/chord.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/beat.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/util.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/alignment.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__pycache__/__init__.cpython-311.pyc -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__pycache__ copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/__init__.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/alignment.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/display.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/hierarchy.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/io.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/key.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/melody.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/multipitch.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/onset.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/pattern.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/separation.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/sonify.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/tempo.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/transcription_velocity.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/util.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/segment.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/chord.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval copying /build/mir-eval-0.7/.pybuild/cpython3_3.11_mir-eval/build/mir_eval/beat.py -> /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/__init__.py to __init__.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/alignment.py to alignment.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/display.py to display.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/hierarchy.py to hierarchy.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/io.py to io.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/key.py to key.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/melody.py to melody.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/multipitch.py to multipitch.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/onset.py to onset.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/pattern.py to pattern.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/separation.py to separation.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/sonify.py to sonify.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/tempo.py to tempo.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/transcription.py to transcription.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/transcription_velocity.py to transcription_velocity.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/util.py to util.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/segment.py to segment.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/chord.py to chord.cpython-311.pyc byte-compiling /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval/beat.py to beat.cpython-311.pyc running install_egg_info running egg_info creating mir_eval.egg-info writing mir_eval.egg-info/PKG-INFO writing dependency_links to mir_eval.egg-info/dependency_links.txt writing requirements to mir_eval.egg-info/requires.txt writing top-level names to mir_eval.egg-info/top_level.txt writing manifest file 'mir_eval.egg-info/SOURCES.txt' reading manifest file 'mir_eval.egg-info/SOURCES.txt' adding license file 'LICENSE.txt' writing manifest file 'mir_eval.egg-info/SOURCES.txt' Copying mir_eval.egg-info to /build/mir-eval-0.7/debian/python3-mir-eval/usr/lib/python3.11/dist-packages/mir_eval-0.7.egg-info Skipping SOURCES.txt running install_scripts dh_installdocs -O--buildsystem=pybuild dh_installdocs: warning: Cannot auto-detect main package for python-mir-eval-doc. If the default is wrong, please use --doc-main-package dh_sphinxdoc -O--buildsystem=pybuild dh_installchangelogs -O--buildsystem=pybuild dh_python3 -O--buildsystem=pybuild dh_installsystemduser -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild dh_compress -O--buildsystem=pybuild dh_fixperms -O--buildsystem=pybuild dh_missing -O--buildsystem=pybuild dh_installdeb -O--buildsystem=pybuild dh_gencontrol -O--buildsystem=pybuild dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild dpkg-deb: building package 'python-mir-eval-doc' in '../python-mir-eval-doc_0.7-3_all.deb'. dpkg-deb: building package 'python3-mir-eval' in '../python3-mir-eval_0.7-3_all.deb'. dpkg-genbuildinfo --build=binary -O../mir-eval_0.7-3_amd64.buildinfo dpkg-genchanges --build=binary -O../mir-eval_0.7-3_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/2239657/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/2239657 and its subdirectories I: Current time: Sat Jun 15 15:59:54 +14 2024 I: pbuilder-time-stamp: 1718416794