<86>Jan 27 06:21:07 userdel[1801607]: delete user 'rooter' <86>Jan 27 06:21:07 userdel[1801607]: removed group 'rooter' owned by 'rooter' <86>Jan 27 06:21:07 userdel[1801607]: removed shadow group 'rooter' owned by 'rooter' <86>Jan 27 06:21:07 groupadd[1801633]: group added to /etc/group: name=rooter, GID=1871 <86>Jan 27 06:21:07 groupadd[1801633]: group added to /etc/gshadow: name=rooter <86>Jan 27 06:21:07 groupadd[1801633]: new group: name=rooter, GID=1871 <86>Jan 27 06:21:07 useradd[1801654]: new user: name=rooter, UID=1871, GID=1871, home=/root, shell=/bin/bash, from=none <86>Jan 27 06:21:07 userdel[1801684]: delete user 'builder' <86>Jan 27 06:21:07 userdel[1801684]: removed group 'builder' owned by 'builder' <86>Jan 27 06:21:07 userdel[1801684]: removed shadow group 'builder' owned by 'builder' <86>Jan 27 06:21:07 groupadd[1801706]: group added to /etc/group: name=builder, GID=1872 <86>Jan 27 06:21:07 groupadd[1801706]: group added to /etc/gshadow: name=builder <86>Jan 27 06:21:07 groupadd[1801706]: new group: name=builder, GID=1872 <86>Jan 27 06:21:07 useradd[1801727]: new user: name=builder, UID=1872, GID=1872, home=/usr/src, shell=/bin/bash, from=none <13>Jan 27 06:21:10 rpmi: libmpdec3-2.5.1-alt3 sisyphus+314490.500.5.1 1675432033 installed <13>Jan 27 06:21:10 rpmi: libgdbm-1.8.3-alt10 sisyphus+278100.1600.1.1 1626059138 installed <13>Jan 27 06:21:10 rpmi: libexpat-2.5.0-alt1 sisyphus+309227.100.1.1 1667075766 installed <13>Jan 27 06:21:10 rpmi: libb2-0.98.1-alt1_1 sisyphus+291614.100.1.1 1638962878 installed <13>Jan 27 06:21:10 rpmi: libp11-kit-1:0.25.3-alt2 sisyphus+336533.100.1.1 1702645575 installed <13>Jan 27 06:21:10 rpmi: libtasn1-4.19.0-alt3 sisyphus+327816.100.1.1 1692802618 installed <13>Jan 27 06:21:10 rpmi: rpm-macros-alternatives-0.5.2-alt2 sisyphus+315270.200.2.1 1676457367 installed <13>Jan 27 06:21:10 rpmi: alternatives-0.5.2-alt2 sisyphus+315270.200.2.1 1676457367 installed <13>Jan 27 06:21:10 rpmi: ca-certificates-2023.12.20-alt1 sisyphus+336902.300.1.1 1703105726 installed <13>Jan 27 06:21:10 rpmi: ca-trust-0.1.4-alt1 sisyphus+308690.100.1.1 1666182992 installed <13>Jan 27 06:21:10 rpmi: p11-kit-trust-1:0.25.3-alt2 sisyphus+336533.100.1.1 1702645575 installed <13>Jan 27 06:21:10 rpmi: libcrypto3-3.1.4-alt1 sisyphus+332632.100.2.1 1698241305 installed <13>Jan 27 06:21:10 rpmi: libssl3-3.1.4-alt1 sisyphus+332632.100.2.1 1698241305 installed <13>Jan 27 06:21:10 rpmi: python3-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:11 rpmi: python3-base-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:11 rpmi: python3-module-py3dephell-0.1.0-alt2 sisyphus+328191.600.5.1 1693609196 installed <13>Jan 27 06:21:11 rpmi: tests-for-installed-python3-pkgs-0.1.24-alt2 sisyphus+331059.100.4.1 1696870033 installed <13>Jan 27 06:21:11 rpmi: rpm-build-python3-0.1.24-alt2 sisyphus+331059.100.4.1 1696870033 installed <13>Jan 27 06:21:16 rpmi: qt5-base-common-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:16 rpmi: libjpeg-2:2.1.5.1-alt2 sisyphus+334304.100.1.1 1699893684 installed <13>Jan 27 06:21:16 rpmi: libpng16-1.6.40-alt1 sisyphus+323732.100.1.1 1687771859 installed <13>Jan 27 06:21:16 rpmi: qt5-declarative-common-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:16 rpmi: python3-module-attrs-23.2.0-alt1 sisyphus+338876.100.1.2 1706109385 installed <13>Jan 27 06:21:16 rpmi: libwayland-client-1.22.0-alt1.1 sisyphus+318010.100.1.1 1680606300 installed <13>Jan 27 06:21:16 rpmi: libgomp1-13.2.1-alt2 sisyphus+327572.100.1.1 1692472364 installed <13>Jan 27 06:21:16 rpmi: libogg-1.3.5-alt1 sisyphus+278100.3400.1.1 1626059695 installed <13>Jan 27 06:21:16 rpmi: libvorbis-1.3.7-alt1 sisyphus+275738.100.1.1 1624751609 installed <13>Jan 27 06:21:16 rpmi: python3-module-pkg_resources-1:69.0.3-alt2 sisyphus+339080.100.1.1 1706272183 installed <13>Jan 27 06:21:16 rpmi: python3-module-idna-3.6-alt1 sisyphus+335330.100.1.2 1701263518 installed <13>Jan 27 06:21:16 rpmi: libxkbcommon-1.6.0-alt1 sisyphus+331300.100.1.1 1696855236 installed <13>Jan 27 06:21:16 rpmi: libusb-1.0.26-alt2 sisyphus+305525.100.1.1 1660924428 installed <13>Jan 27 06:21:16 rpmi: libraw1394-11-2.1.2-alt1 sisyphus+278262.100.1.1 1626081867 installed <13>Jan 27 06:21:16 rpmi: libgudev-1:238-alt1 sisyphus+324364.100.1.1 1688646145 installed <13>Jan 27 06:21:16 rpmi: liblcms2-2.16-alt1 sisyphus+335676.100.1.1 1701682605 installed <13>Jan 27 06:21:16 rpmi: libwebp7-1.3.2-alt1 sisyphus+329541.100.1.1 1694676226 installed <13>Jan 27 06:21:16 rpmi: libopus-1.4-alt1.2 sisyphus+335745.100.1.1 1701698719 installed <13>Jan 27 06:21:16 rpmi: python3-module-six-1.16.0-alt2 sisyphus+324249.100.1.1 1688484676 installed <13>Jan 27 06:21:16 rpmi: python3-module-zope.interface-6.0-alt1 sisyphus+333513.24700.71.1 1704544166 installed <13>Jan 27 06:21:16 rpmi: liborc-0.4.35-alt1 sisyphus+338851.100.2.2 1706186943 installed <13>Jan 27 06:21:16 rpmi: libopenjpeg2.0-2.5.0-alt1 sisyphus+299926.300.3.1 1652478844 installed <13>Jan 27 06:21:16 rpmi: libtheora-2:1.1.1-alt6 sisyphus+277967.100.1.1 1625928124 installed <13>Jan 27 06:21:16 rpmi: python3-module-packaging-23.2-alt1 sisyphus+330805.100.2.1 1696324248 installed <13>Jan 27 06:21:16 rpmi: python3-module-mypy_extensions-1.0.0-alt1 sisyphus+316350.100.2.1 1678357948 installed <13>Jan 27 06:21:16 rpmi: python3-module-typing_extensions-4.9.0-alt1 sisyphus+338687.100.1.1 1705975783 installed <13>Jan 27 06:21:16 rpmi: python3-module-greenlet-3.0.1-alt1 sisyphus+333513.52300.73.1 1704646011 installed <13>Jan 27 06:21:16 rpmi: libtcl-8.6.13-alt1 sisyphus+310696.100.1.1 1669548256 installed <13>Jan 27 06:21:16 rpmi: libopenblas-0.3.23-alt2 sisyphus+335733.100.1.1 1701687966 installed <13>Jan 27 06:21:16 rpmi: libsqlite3-3.44.2-alt1 sisyphus+335409.100.3.3 1701347861 installed <13>Jan 27 06:21:16 rpmi: perl-HTTP-Date-6.06-alt1 sisyphus+324527.100.1.1 1688834564 installed <13>Jan 27 06:21:16 rpmi: perl-XML-NamespaceSupport-1.12-alt1 1491296348 installed <13>Jan 27 06:21:16 rpmi: libSDL2-2.28.5-alt1 sisyphus+333852.100.1.1 1699387407 installed <13>Jan 27 06:21:16 rpmi: libdvdread8-6.1.3-alt1 sisyphus+302642.100.1.1 1656163149 installed <13>Jan 27 06:21:16 rpmi: libidn2-2.3.4-alt1 sisyphus+309023.100.1.1 1666791089 installed <13>Jan 27 06:21:16 rpmi: libnettle8-3.9.1-alt1 sisyphus+322548.100.1.2 1686176897 installed <13>Jan 27 06:21:16 rpmi: libserd-0.30.10-alt1_3 sisyphus+288138.100.1.1 1635175832 installed <13>Jan 27 06:21:16 rpmi: libspeex-1.2-alt2 sisyphus+287335.100.1.1 1634381376 installed <13>Jan 27 06:21:16 rpmi: libfribidi-1.0.13-alt1 sisyphus+320646.100.1.1 1684307083 installed <13>Jan 27 06:21:16 rpmi: liblame-3.100-alt1 sisyphus+276241.100.1.2 1624925655 installed <13>Jan 27 06:21:16 rpmi: libgsm-1.0.17-alt1 sisyphus+275359.100.2.1 1624907612 installed <13>Jan 27 06:21:16 rpmi: libatk-2.50.1-alt1.1 sisyphus+333513.115100.84.1 1705495732 installed <13>Jan 27 06:21:16 rpmi: python3-module-dateutil-2.8.2-alt2 sisyphus+319889.300.1.1 1683215971 installed <13>Jan 27 06:21:16 rpmi: libdc1394-22-2.2.5-alt1.1 sisyphus+311484.100.1.1 1670647148 installed <13>Jan 27 06:21:16 rpmi: libiec61883-1.2.0-alt1.qa1 sisyphus+275365.100.1.2 1624491850 installed <13>Jan 27 06:21:16 rpmi: libflac8-1.3.3.0.79.37d1-alt2 sisyphus+278100.1400.1.1 1626058888 installed <13>Jan 27 06:21:16 rpmi: libwayland-cursor-1.22.0-alt1.1 sisyphus+318010.100.1.1 1680606300 installed <13>Jan 27 06:21:16 rpmi: libwayland-egl-4:18.1.0-alt1.1 sisyphus+318010.100.1.1 1680606300 installed <13>Jan 27 06:21:16 rpmi: libv4l-1.26.1-alt1 sisyphus+336403.100.1.1 1702467949 installed <13>Jan 27 06:21:16 rpmi: qt5-connectivity-common-5.15.12-alt1 sisyphus+338046.2300.5.2 1706040938 installed <13>Jan 27 06:21:16 rpmi: qt5-tools-common-5.15.12-alt1 sisyphus+338046.400.5.2 1706039237 installed <13>Jan 27 06:21:16 rpmi: qt5-location-common-5.15.12-alt1 sisyphus+338046.1000.5.2 1706039890 installed <13>Jan 27 06:21:16 rpmi: python3-module-cloudpickle-2.2.1-alt1 sisyphus+314044.100.1.1 1674553138 installed <13>Jan 27 06:21:16 rpmi: python3-module-multidict-6.0.4-alt1 sisyphus+333513.44100.72.1 1704598216 installed <13>Jan 27 06:21:16 rpmi: python3-module-click-8.1.7-alt1 sisyphus+327424.100.2.1 1695395098 installed <13>Jan 27 06:21:16 rpmi: python3-module-sortedcontainers-2.4.0-alt1 sisyphus+272042.100.1.1 1621262424 installed <13>Jan 27 06:21:16 rpmi: python3-module-frozenlist-1.3.3-alt1 sisyphus+333513.42100.72.1 1704597617 installed <13>Jan 27 06:21:16 rpmi: python3-module-charset-normalizer-2.1.1-alt1 sisyphus+311047.100.1.1 1669992940 installed <13>Jan 27 06:21:16 rpmi: libts0-1.22-alt3 sisyphus+278442.100.1.2 1626216683 installed <13>Jan 27 06:21:16 rpmi: libpython3-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:16 rpmi: libmtdev-1.1.6-alt1 sisyphus+278361.100.1.1 1626091636 installed <13>Jan 27 06:21:17 rpmi: libicu74-1:7.4.2-alt1 sisyphus+336372.200.1.1 1702422879 installed <13>Jan 27 06:21:17 rpmi: libevdev-1.13.1-alt1 sisyphus+319955.100.1.1 1683290015 installed <13>Jan 27 06:21:17 rpmi: libcares-1.25.0-alt1 sisyphus+338029.100.1.2 1705643831 installed <13>Jan 27 06:21:17 rpmi: libICE-1.1.1-alt1 sisyphus+311428.500.1.1 1670577559 installed <13>Jan 27 06:21:17 rpmi: libopenal1-1.22.2-alt2 sisyphus+331513.100.1.2 1697028603 installed <13>Jan 27 06:21:17 rpmi: libdv-1.0.0-alt6 sisyphus+286805.100.2.1 1633968017 installed <13>Jan 27 06:21:17 rpmi: perl-LWP-MediaTypes-6.04-alt1 sisyphus+225468.100.1.1 1553186684 installed <13>Jan 27 06:21:17 rpmi: perl-Compress-Raw-Zlib-2.206-alt1 sisyphus+335067.600.1.1 1700901614 installed <13>Jan 27 06:21:17 rpmi: perl-libnet-1:3.15-alt1 sisyphus+317310.100.1.1 1679580208 installed <13>Jan 27 06:21:17 rpmi: perl-XML-SAX-Base-1.09-alt1 1494364363 installed <13>Jan 27 06:21:17 rpmi: libsbc1-2.0-alt2 sisyphus+322708.100.1.1 1686327806 installed <13>Jan 27 06:21:17 rpmi: libfreeaptx-0.1.1-alt1 sisyphus+282022.100.1.1 1628182684 installed <13>Jan 27 06:21:17 rpmi: libyaml2-0.2.5-alt1 sisyphus+278391.100.1.1 1626094932 installed <13>Jan 27 06:21:17 rpmi: python3-module-yaml-6.0.1-alt1.1 sisyphus+333513.45640.73.1 1704640302 installed <13>Jan 27 06:21:17 rpmi: libimath29-3.1.6-alt4 sisyphus+333513.71600.74.1 1704724820 installed <13>Jan 27 06:21:17 rpmi: libiex30-3.1.5-alt2.2 sisyphus+324124.100.1.1 1688379856 installed <13>Jan 27 06:21:17 rpmi: libwayland-server-1.22.0-alt1.1 sisyphus+318010.100.1.1 1680606300 installed <13>Jan 27 06:21:17 rpmi: libzeromq-4.3.4-alt3 sisyphus+326735.200.2.1 1691482854 installed <13>Jan 27 06:21:17 rpmi: libmpg123-1:1.32.4-alt1 sisyphus+338450.100.1.1 1705668199 installed <13>Jan 27 06:21:17 rpmi: libsndfile-1.1.0-alt1 sisyphus+306371.40.3.1 1662942490 installed <13>Jan 27 06:21:17 rpmi: libspirv-tools0-1:2023.5-alt0.1.rc1 sisyphus+334119.100.1.1 1699620627 installed <13>Jan 27 06:21:17 rpmi: libbs2b-3.1.0-alt1.4 sisyphus+284589.100.1.1 1630750816 installed <13>Jan 27 06:21:17 rpmi: libx264-164-alt1.1 sisyphus+322210.100.1.1 1685494886 installed <13>Jan 27 06:21:17 rpmi: libvpx8-1.13.1-alt2 sisyphus+337593.200.1.1 1704142932 installed <13>Jan 27 06:21:17 rpmi: libglvnd-7:1.7.0-alt1 sisyphus+330949.100.1.1 1696424894 installed <13>Jan 27 06:21:17 rpmi: libtwolame-0.4.0-alt1 sisyphus+277783.100.1.1 1625798479 installed <13>Jan 27 06:21:17 rpmi: libopencore-amrwb0-0.1.6-alt1 sisyphus+307923.100.1.1 1665032485 installed <13>Jan 27 06:21:17 rpmi: libopencore-amrnb0-0.1.6-alt1 sisyphus+307923.100.1.1 1665032485 installed <13>Jan 27 06:21:17 rpmi: libaom3-3.5.0-alt2 sisyphus+335780.100.1.1 1701761523 installed <13>Jan 27 06:21:17 rpmi: libkmod-31-alt1 sisyphus+330699.100.1.1 1696072426 installed <13>Jan 27 06:21:17 rpmi: kmod-31-alt1 sisyphus+330699.100.1.1 1696072426 installed <13>Jan 27 06:21:18 rpmi: libglslang13-1:13.1.1-alt2 sisyphus+334399.100.1.1 1699969051 installed <13>Jan 27 06:21:18 rpmi: libshaderc1-2023.7-alt0.1 sisyphus+334399.200.1.1 1699969117 installed <13>Jan 27 06:21:18 rpmi: libsamplerate-0.2.2-alt1 sisyphus+284642.100.1.1 1630906257 installed <13>Jan 27 06:21:18 rpmi: libinstpatch-1.1.6-alt1.1 sisyphus+279572.100.1.2 1626605112 installed <13>Jan 27 06:21:18 rpmi: libilmthread30-3.1.5-alt2.2 sisyphus+324124.100.1.1 1688379856 installed <13>Jan 27 06:21:18 rpmi: libopenexr30-3.1.5-alt2.2 sisyphus+324124.100.1.1 1688379856 installed <13>Jan 27 06:21:18 rpmi: libSM-1.2.4-alt1 sisyphus+312057.200.1.1 1671526918 installed <13>Jan 27 06:21:18 rpmi: tslib-1.22-alt3 sisyphus+278442.100.1.2 1626216683 installed <13>Jan 27 06:21:18 rpmi: python3-module-aiosignal-1.3.1-alt1 sisyphus+314057.100.1.1 1674561191 installed <13>Jan 27 06:21:18 rpmi: python3-module-incremental-22.10.0-alt1 sisyphus+312706.100.1.1 1672404273 installed <13>Jan 27 06:21:18 rpmi: python3-module-yarl-1.9.2-alt2 sisyphus+333513.47700.73.1 1704643112 installed <13>Jan 27 06:21:18 rpmi: python3-module-loky-3.4.1-alt1 sisyphus+326878.40.2.1 1691671565 installed <13>Jan 27 06:21:18 rpmi: python3-module-joblib-1.3.2-alt1 sisyphus+326878.100.2.1 1691671631 installed <13>Jan 27 06:21:18 rpmi: libshout2-2.4.6-alt2 sisyphus+326035.1600.1.1 1690667395 installed <13>Jan 27 06:21:18 rpmi: libhogweed6-3.9.1-alt1 sisyphus+322548.100.1.2 1686176897 installed <13>Jan 27 06:21:18 rpmi: libgnutls30-3.8.3-alt1 sisyphus+338392.100.2.1 1705655794 installed <13>Jan 27 06:21:18 rpmi: libngtcp2.16-1.0.1-alt1 sisyphus+332583.200.2.1 1698669156 installed <13>Jan 27 06:21:18 rpmi: libngtcp2_crypto_gnutls8-1.0.1-alt1 sisyphus+332583.200.2.1 1698669156 installed <13>Jan 27 06:21:18 rpmi: libdvdnav-6.1.1-alt1 sisyphus+279367.100.1.1 1626478897 installed <13>Jan 27 06:21:18 rpmi: perl-File-Listing-6.16-alt1 sisyphus+325783.100.1.1 1690559356 installed <13>Jan 27 06:21:18 rpmi: tcl-8.6.13-alt1 sisyphus+310696.100.1.1 1669548256 installed <13>Jan 27 06:21:18 rpmi: python3-module-typing-inspect-0.9.0-alt1 sisyphus+321831.100.1.1 1685011068 installed <13>Jan 27 06:21:18 rpmi: python3-module-libcst-1.1.0-alt3 sisyphus+333513.55700.73.1 1704650696 installed <13>Jan 27 06:21:18 rpmi: libavc1394-0.5.4-alt2 sisyphus+284572.100.1.1 1630712942 installed <13>Jan 27 06:21:18 rpmi: libhidapi-0.12.0-alt1_1 sisyphus+303213.100.1.1 1657034193 installed <13>Jan 27 06:21:18 rpmi: python3-module-cython-hidapi-0.14.0-alt1.1 sisyphus+333513.54340.73.1 1704649757 installed <13>Jan 27 06:21:18 rpmi: python3-module-serial-3.5-alt2 sisyphus+281995.100.1.1 1628172783 installed <13>Jan 27 06:21:18 rpmi: python3-module-idna_ssl-1.1.0-alt2 sisyphus+272418.100.1.1 1621876529 installed <13>Jan 27 06:21:18 rpmi: python3-module-hyperlink-21.0.0-alt1.1 sisyphus+304836.100.1.1 1659710964 installed <13>Jan 27 06:21:18 rpmi: libvidstab-1.1.0-alt2.1 sisyphus+279558.100.1.2 1626596086 installed <13>Jan 27 06:21:18 rpmi: libsoundtouch-2.3.2-alt1 sisyphus+314961.100.1.1 1675954594 installed <13>Jan 27 06:21:18 rpmi: libimagequant-2.17.0-alt1_1 sisyphus+291138.100.1.1 1638394107 installed <13>Jan 27 06:21:18 rpmi: python3-module-outcome-1.3.0-alt1 sisyphus+332382.100.1.1 1697882349 installed <13>Jan 27 06:21:18 rpmi: qt5-serialport-common-5.15.12-alt1 sisyphus+338046.700.5.2 1706039660 installed <13>Jan 27 06:21:18 rpmi: qt5-multimedia-common-5.15.12-alt1 sisyphus+338046.600.5.2 1706039596 installed <13>Jan 27 06:21:18 rpmi: qt5-remoteobjects-common-5.15.12-alt1 sisyphus+338046.4300.5.2 1706046412 installed <13>Jan 27 06:21:18 rpmi: qt5-sensors-common-5.15.12-alt1 sisyphus+338046.1100.5.2 1706039997 installed <13>Jan 27 06:21:18 rpmi: qt5-svg-common-5.15.12-alt1 sisyphus+338046.1700.5.2 1706040458 installed <13>Jan 27 06:21:18 rpmi: qt5-webchannel-common-5.15.12-alt1 sisyphus+338046.1300.5.2 1706040102 installed <13>Jan 27 06:21:18 rpmi: qt5-websockets-common-5.15.12-alt1 sisyphus+338046.500.5.2 1706039384 installed <13>Jan 27 06:21:18 rpmi: qt5-x11extras-common-5.15.12-alt1 sisyphus+338046.1600.5.2 1706040398 installed <13>Jan 27 06:21:18 rpmi: qt5-xmlpatterns-common-5.15.12-alt1 sisyphus+338046.300.5.2 1706039007 installed <13>Jan 27 06:21:18 rpmi: python3-module-threadpoolctl-3.1.0-alt1 sisyphus+295927.1240.4.1 1646210770 installed <13>Jan 27 06:21:18 rpmi: python3-module-mpmath-1.2.1-alt1 sisyphus+277364.40.2.1 1625515359 installed <13>Jan 27 06:21:18 rpmi: python3-module-matplotlib-data-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719642 installed <13>Jan 27 06:21:18 rpmi: python3-module-railroad-diagrams-1.1.1-alt1 sisyphus+294587.100.1.1 1643813088 installed <13>Jan 27 06:21:18 rpmi: python3-module-kiwisolver-1.4.5-alt1 sisyphus+333513.51100.73.1 1704645614 installed <13>Jan 27 06:21:18 rpmi: python3-module-pytz-1:2023.3.post1-alt1 sisyphus+335112.100.1.1 1700900843 installed <13>Jan 27 06:21:18 rpmi: python3-module-pluggy-1.3.0-alt1 sisyphus+330478.100.1.1 1695823310 installed <13>Jan 27 06:21:18 rpmi: python3-module-iniconfig-2.0.0-alt1 sisyphus+314076.200.3.1 1674737275 installed <13>Jan 27 06:21:18 rpmi: python3-module-pytest-7.4.3-alt1 sisyphus+332685.100.2.1 1698314627 installed <13>Jan 27 06:21:18 rpmi: python3-module-lark-1.1.7-alt1 sisyphus+325463.300.3.1 1690386555 installed <13>Jan 27 06:21:19 rpmi: python3-module-sqlparse-0.4.4-alt1 sisyphus+319188.100.1.1 1682328039 installed <13>Jan 27 06:21:19 rpmi: python3-module-markupsafe-1:2.1.4-alt1 sisyphus+338528.100.1.2 1705786004 installed <13>Jan 27 06:21:19 rpmi: python3-module-jinja2-3.1.3-alt1 sisyphus+338371.3500.8.1 1706006785 installed <13>Jan 27 06:21:19 rpmi: python3-module-pyparsing-3.1.1-alt1 sisyphus+326203.100.2.1 1691138597 installed <13>Jan 27 06:21:19 rpmi: python3-module-cycler-0.12.1-alt1 sisyphus+331222.100.1.1 1696668651 installed <13>Jan 27 06:21:19 rpmi: python3-module-platformdirs-3.10.0-alt1 sisyphus+326155.100.2.1 1690880012 installed <13>Jan 27 06:21:19 rpmi: python3-module-pathspec-0.11.2-alt1 sisyphus+326154.100.2.1 1690886843 installed <13>Jan 27 06:21:19 rpmi: python3-module-asgiref-3.7.2-alt1 sisyphus+328419.100.1.1 1693492242 installed <13>Jan 27 06:21:19 rpmi: python3-module-PyQt5-sip-12.13.0-alt1 sisyphus+333513.20540.71.1 1704542988 installed <13>Jan 27 06:21:19 rpmi: python3-module-olefile-0.46-alt2 sisyphus+288126.100.1.1 1635163866 installed <13>Jan 27 06:21:19 rpmi: python3-module-priority-2.0.0-alt3 sisyphus+338701.100.1.2 1705988383 installed <13>Jan 27 06:21:19 rpmi: python3-module-hpack-4.0.0-alt1 sisyphus+270376.200.1.1 1618956626 installed <13>Jan 27 06:21:19 rpmi: python3-module-hyperframe-6.0.1-alt1 sisyphus+270376.300.2.1 1618957001 installed <13>Jan 27 06:21:19 rpmi: python3-module-h2-4.1.0-alt1 sisyphus+325714.100.2.2 1690478873 installed <13>Jan 27 06:21:19 rpmi: python3-module-constantly-15.1.0-alt7 sisyphus+338906.100.1.1 1706107088 installed <13>Jan 27 06:21:19 rpmi: python3-module-appdirs-1.4.4-alt1 sisyphus+267613.300.2.1 1620039159 installed <13>Jan 27 06:21:19 rpmi: python3-module-certifi-2023.5.7-alt1 sisyphus+322622.100.1.1 1686217855 installed <13>Jan 27 06:21:19 rpmi: python3-module-openid-3.2.0-alt1 sisyphus+278049.100.2.1 1625998936 installed <13>Jan 27 06:21:19 rpmi: python3-module-z3c-3.0.0-alt4 sisyphus+284857.200.1.1 1631109149 installed <13>Jan 27 06:21:19 rpmi: python3-module-zc-1.0.0-alt7 sisyphus+284857.100.1.1 1631109117 installed <13>Jan 27 06:21:19 rpmi: python3-module-zope-3.3.0-alt9 sisyphus+281937.200.4.1 1628175910 installed <13>Jan 27 06:21:19 rpmi: python3-module-zope.event-5.0-alt1.1 sisyphus+325755.140.2.1 1690991538 installed <13>Jan 27 06:21:19 rpmi: python3-module-sniffio-1.3.0-alt1 sisyphus+333845.100.3.1 1699533040 installed <13>Jan 27 06:21:19 rpmi: python3-module-pycparser-2.21-alt1.1 sisyphus+309935.7300.4.1 1668527005 installed <13>Jan 27 06:21:19 rpmi: python3-module-cffi-1.16.0-alt1 sisyphus+333513.10400.71.1 1704540321 installed <13>Jan 27 06:21:19 rpmi: python3-module-cryptography-42.0.1-alt1 sisyphus+338984.100.1.2 1706196520 installed <13>Jan 27 06:21:19 rpmi: python3-module-openssl-23.2.0-alt1 sisyphus+326014.100.1.1 1690659362 installed <13>Jan 27 06:21:19 rpmi: python3-module-urllib3-2:2.1.0-alt2 sisyphus+339022.100.1.1 1706233982 installed <13>Jan 27 06:21:19 rpmi: python3-module-requests-2.31.0-alt1 sisyphus+321663.100.2.1 1684917021 installed <13>Jan 27 06:21:19 rpmi: python3-module-redis-py-4.5.5-alt1.1 sisyphus+332415.100.1.1 1697904078 installed <13>Jan 27 06:21:19 rpmi: python3-module-pycares-4.1.2-alt1 sisyphus+333513.36000.73.1 1704636620 installed <13>Jan 27 06:21:19 rpmi: python3-module-astor-0.8.1-alt1.1 sisyphus+315877.100.1.1 1677481862 installed <13>Jan 27 06:21:19 rpmi: python3-module-trio-0.24.0-alt1 sisyphus+338884.100.1.2 1706111254 installed <13>Jan 27 06:21:19 rpmi: python3-module-dns-1:2.2.0-alt2 sisyphus+320065.60.1.1 1683366881 installed <13>Jan 27 06:21:19 rpmi: python3-module-Cheetah-3.3.3-alt1 sisyphus+333513.10500.71.1 1704540354 installed <13>Jan 27 06:21:19 rpmi: python3-module-paste-3.7.1-alt1 sisyphus+332187.100.1.1 1697730831 installed <13>Jan 27 06:21:19 rpmi: python3-module-PasteDeploy-1:3.0.1-alt1 sisyphus+308592.100.1.1 1666070463 installed <13>Jan 27 06:21:19 rpmi: python3-module-PasteScript-1:2.0.2-alt2 sisyphus+272468.100.1.1 1621939313 installed <13>Jan 27 06:21:19 rpmi: libuv-1.47.0-alt1 sisyphus+337159.100.2.1 1703930511 installed <13>Jan 27 06:21:19 rpmi: libqhull-2020.2-alt1 sisyphus+279488.100.1.2 1626573478 installed <13>Jan 27 06:21:19 rpmi: libncurses6-6.3.20220618-alt4 sisyphus+328055.40.2.1 1693213017 installed <13>Jan 27 06:21:19 rpmi: libtinfo-devel-6.3.20220618-alt4 sisyphus+328055.40.2.1 1693213017 installed <13>Jan 27 06:21:19 rpmi: libncurses-devel-6.3.20220618-alt4 sisyphus+328055.40.2.1 1693213017 installed <13>Jan 27 06:21:20 rpmi: python3-dev-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:20 rpmi: python3-module-setuptools-1:69.0.3-alt2 sisyphus+339080.100.1.1 1706272183 installed <13>Jan 27 06:21:20 rpmi: python3-module-pygobject-2.28.6-alt15 sisyphus+333513.36010.77.1 1704961753 installed <13>Jan 27 06:21:20 rpmi: libmaxminddb-1.7.1-alt1 sisyphus+310839.100.1.1 1669722011 installed <13>Jan 27 06:21:20 rpmi: python3-module-MaxMindDB-2.5.2-alt1 sisyphus+338732.100.1.1 1706005937 installed <13>Jan 27 06:21:20 rpmi: libxblas-1.0.248-alt2 sisyphus+285045.40.2.1 1631388462 installed <13>Jan 27 06:21:20 rpmi: libwacom-data-2.9.0-alt1 sisyphus+335268.100.1.1 1701109936 installed <13>Jan 27 06:21:20 rpmi: python3-module-libevdev-0.11-alt1 sisyphus+300877.100.1.1 1653893962 installed <13>Jan 27 06:21:20 rpmi: python3-module-pyudev-0.24.0-alt1 sisyphus+307006.100.1.1 1663406384 installed <13>Jan 27 06:21:20 rpmi: libquadmath0-13.2.1-alt2 sisyphus+327572.100.1.1 1692472364 installed <13>Jan 27 06:21:20 rpmi: libgfortran5-13.2.1-alt2 sisyphus+327572.100.1.1 1692472364 installed <13>Jan 27 06:21:20 rpmi: liblapack-1:3.8.0-alt7 sisyphus+293726.100.1.1 1642544503 installed <13>Jan 27 06:21:21 rpmi: python3-module-numpy-1:1.25.2-alt3.1 sisyphus+333513.52420.73.1 1704646544 installed <13>Jan 27 06:21:21 rpmi: libev4-4.33-alt3 sisyphus+334335.340.4.1 1699912675 installed <13>Jan 27 06:21:21 rpmi: python3-module-gevent-22.10.2-alt1 sisyphus+333513.53700.73.1 1704648266 installed <13>Jan 27 06:21:21 rpmi: libdouble-conversion3-3.3.0-alt1 sisyphus+333410.100.1.1 1698928792 installed <13>Jan 27 06:21:21 rpmi: libqt5-core-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:21 rpmi: libqt5-sql-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:21 rpmi: libqt5-xml-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:21 rpmi: libqt5-serialport-5.15.12-alt1 sisyphus+338046.700.5.2 1706039875 installed <13>Jan 27 06:21:21 rpmi: libqt5-test-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:21 rpmi: libmpeg2-0.5.1-alt4.svn20120718 sisyphus+285823.100.1.1 1632416719 installed <13>Jan 27 06:21:21 rpmi: libcdio-2.1.0-alt1 sisyphus+328181.400.2.1 1693321806 installed <13>Jan 27 06:21:21 rpmi: liba52-0.7.4-alt9 sisyphus+275711.100.1.1 1624748829 installed <13>Jan 27 06:21:21 rpmi: libwavpack-5.6.0-alt1 sisyphus+312784.100.1.1 1672495704 installed <13>Jan 27 06:21:21 rpmi: libtag-1.12-alt1 sisyphus+277260.100.1.1 1625423544 installed <13>Jan 27 06:21:21 rpmi: libvisual0.4-0.4.0-alt3 sisyphus+276250.100.1.2 1624927464 installed <13>Jan 27 06:21:21 rpmi: libgraphene-1.10.8-alt1 sisyphus+296855.100.1.1 1647633387 installed <13>Jan 27 06:21:21 rpmi: libcdparanoia-1:10.2-alt6 sisyphus+278521.100.1.1 1626108248 installed <13>Jan 27 06:21:21 rpmi: libwebrtc-0.3-alt2 sisyphus+277616.100.1.1 1625719136 installed <13>Jan 27 06:21:21 rpmi: libvo-amrwbenc-0.1.3-alt1 sisyphus+275410.100.1.2 1624504622 installed <13>Jan 27 06:21:21 rpmi: libvo-aacenc-0.1.3-alt2 sisyphus+285812.100.1.1 1632410892 installed <13>Jan 27 06:21:21 rpmi: libsrtp2-2.5.0-alt2 sisyphus+325593.100.1.1 1690366474 installed <13>Jan 27 06:21:21 rpmi: libopenh264-2.4.0-alt1 sisyphus+335040.100.1.1 1700825134 installed <13>Jan 27 06:21:21 rpmi: libtbb-2021.10.0-alt1.1 sisyphus+333513.113100.79.1 1705098475 installed <13>Jan 27 06:21:21 rpmi: libprotobuf32-3.21.12-alt4 sisyphus+333513.56640.73.1 1704653205 installed <13>Jan 27 06:21:21 rpmi: libglog-0.5.0-alt1 sisyphus+291409.100.1.1 1638655129 installed <13>Jan 27 06:21:21 rpmi: libmodplug-0.8.9.0-alt1 sisyphus+275375.100.2.2 1624495419 installed <13>Jan 27 06:21:21 rpmi: libyajl-2.1.0-alt3 sisyphus+322972.100.1.1 1686724493 installed <13>Jan 27 06:21:21 rpmi: libxslt-1.1.37-alt1 sisyphus+307481.100.1.1 1664360525 installed <13>Jan 27 06:21:21 rpmi: libkate-0.4.1-alt1.6 sisyphus+282639.100.1.1 1628935992 installed <13>Jan 27 06:21:21 rpmi: libepoxy-1.5.10-alt1 sisyphus+296853.200.2.1 1647631868 installed <13>Jan 27 06:21:21 rpmi: usbids-20231116-alt1 sisyphus+334538.100.1.1 1700193056 installed <13>Jan 27 06:21:21 rpmi: pciids-20231116-alt1 sisyphus+334537.100.1.1 1700190635 installed <13>Jan 27 06:21:21 rpmi: hwdata-0.374-alt1 sisyphus+329322.100.1.1 1694450297 installed <13>Jan 27 06:21:21 rpmi: gtk+3-themes-incompatible-3.20-alt3 1461944560 installed <13>Jan 27 06:21:21 rpmi: perl-Try-Tiny-0.31-alt1 sisyphus+290597.100.1.1 1637915507 installed <13>Jan 27 06:21:21 rpmi: perl-IO-Socket-IP-0.42-alt1 sisyphus+325815.100.1.2 1690571193 installed <13>Jan 27 06:21:21 rpmi: perl-Module-Load-0.36-alt1 sisyphus+258992.100.1.1 1601543407 installed <13>Jan 27 06:21:21 rpmi: perl-Compress-Raw-Bzip2-2.206-alt1 sisyphus+335067.700.1.1 1700901634 installed <13>Jan 27 06:21:21 rpmi: perl-IO-Compress-Brotli-2:0.004001-alt3 sisyphus+335067.1200.1.1 1700901700 installed <13>Jan 27 06:21:21 rpmi: perl-Clone-0.46-alt1 sisyphus+335067.1100.1.1 1700901674 installed <13>Jan 27 06:21:21 rpmi: perl-HTML-Tagset-3.20-alt2 1317725093 installed <13>Jan 27 06:21:21 rpmi: perl-Term-ANSIColor-5.01-alt1 sisyphus+244783.100.1.2 1579747505 installed <13>Jan 27 06:21:21 rpmi: perl-Data-Dump-1.25-alt1 sisyphus+276551.100.1.1 1625126880 installed <13>Jan 27 06:21:21 rpmi: perl-Filter-1.64-alt1 sisyphus+335067.400.1.1 1700901530 installed <13>Jan 27 06:21:21 rpmi: perl-Encode-3.19-alt1 sisyphus+335067.500.1.1 1700901585 installed <13>Jan 27 06:21:21 rpmi: perl-URI-5.24-alt1 sisyphus+339124.100.1.1 1706296108 installed <13>Jan 27 06:21:21 rpmi: perl-IO-Compress-2.206-alt1 sisyphus+325819.100.1.1 1690563199 installed <13>Jan 27 06:21:21 rpmi: perl-Net-HTTP-6.23-alt1 sisyphus+323470.100.1.1 1687422469 installed <13>Jan 27 06:21:21 rpmi: perl-HTML-Parser-3.81-alt1 sisyphus+335067.1400.1.1 1700901742 installed <13>Jan 27 06:21:21 rpmi: perl-WWW-RobotRules-6.02-alt1 1329756211 installed <13>Jan 27 06:21:21 rpmi: perl-Encode-Locale-1.05-alt1 1444608613 installed <13>Jan 27 06:21:21 rpmi: perl-IO-HTML-1.004-alt1 sisyphus+258983.100.1.1 1601542619 installed <13>Jan 27 06:21:22 rpmi: perl-HTTP-Message-6.45-alt1 sisyphus+330728.100.1.1 1696162276 installed <13>Jan 27 06:21:22 rpmi: perl-HTTP-Negotiate-6.01-alt1 1329760563 installed <13>Jan 27 06:21:22 rpmi: perl-libwww-6.76-alt1 sisyphus+339116.100.1.1 1706295619 installed <13>Jan 27 06:21:22 rpmi: perl-XML-LibXML-2.0210-alt2 sisyphus+338962.100.1.1 1706184853 installed <13>Jan 27 06:21:22 rpmi: perl-XML-SAX-1.02-alt1 sisyphus+232322.100.1.1 1560758406 installed <13>Jan 27 06:21:22 rpmi: perl-XML-Simple-2.25-alt2 sisyphus+257498.100.1.1 1599324034 installed <13>Jan 27 06:21:22 rpmi: icon-naming-utils-0.8.90-alt1 sisyphus+276851.100.1.1 1625243947 installed <13>Jan 27 06:21:22 rpmi: icon-theme-adwaita-45.0-alt1 sisyphus+325066.500.6.2 1695203960 installed <13>Jan 27 06:21:22 rpmi: liblash-1:0.5.4-alt1_51 sisyphus+318973.100.1.1 1682020747 installed <13>Jan 27 06:21:22 rpmi: libwebrtc-audio-processing-1.3-alt2 sisyphus+332026.100.1.1 1697579432 installed <13>Jan 27 06:21:22 rpmi: libmysofa-1.3.2-alt1 sisyphus+335142.100.1.1 1701003747 installed <13>Jan 27 06:21:22 rpmi: libldac2-2.0.2.3-alt0.1 sisyphus+278007.100.1.2 1625973035 installed <13>Jan 27 06:21:22 rpmi: liblc3-1.0.4-alt1 sisyphus+326418.100.1.1 1691156615 installed <13>Jan 27 06:21:22 rpmi: libsigc++2-2.12.1-alt1 sisyphus+331046.200.2.1 1696511642 installed <13>Jan 27 06:21:22 rpmi: libconfig-c++-1.5-alt3 sisyphus+286668.100.1.1 1633707356 installed <13>Jan 27 06:21:22 rpmi: libfdk-aac2-2.0.3-alt0.1 sisyphus+338863.100.1.1 1706094242 installed <13>Jan 27 06:21:22 rpmi: libtdb-1.4.9-alt1 sisyphus+333513.3240.71.1 1704535489 installed <13>Jan 27 06:21:22 rpmi: libltdl7-2.4.7-alt4 sisyphus+336930.1700.1.1 1703107036 installed <13>Jan 27 06:21:22 rpmi: libasyncns-0.8-alt2.qa1 sisyphus+275091.100.1.1 1624402242 installed <13>Jan 27 06:21:22 rpmi: sound-theme-freedesktop-0.8-alt1 sisyphus+277010.100.1.2 1625346634 installed <13>Jan 27 06:21:22 rpmi: libgtest-1.13.0-alt2 sisyphus+318771.100.1.1 1681838180 installed <13>Jan 27 06:21:22 rpmi: libevent2.1-2.1.12-alt1 sisyphus+324359.3500.11.1 1689364668 installed <13>Jan 27 06:21:22 rpmi: libbluez-5.72-alt1 sisyphus+338649.100.3.1 1705960016 installed <13>Jan 27 06:21:22 rpmi: libfaad2-2.11.1-alt1 sisyphus+338260.100.2.2 1705755212 installed <13>Jan 27 06:21:22 rpmi: libfaac0-1.28-alt2 sisyphus+275719.100.1.1 1624749514 installed <13>Jan 27 06:21:22 rpmi: libdca0-0.0.5-alt4.qa1 sisyphus+275349.100.1.2 1624487409 installed <13>Jan 27 06:21:22 rpmi: libssh2-1.11.0-alt1 sisyphus+327652.100.1.1 1692636581 installed <13>Jan 27 06:21:22 rpmi: publicsuffix-list-dafsa-20231026-alt1 sisyphus+332908.100.1.1 1698419299 installed <13>Jan 27 06:21:22 rpmi: libpsl-0.21.5-alt1 sisyphus+338474.100.1.1 1705684771 installed <13>Jan 27 06:21:22 rpmi: libnghttp3.9-1.0.0-alt1 sisyphus+332583.100.2.1 1698669105 installed <13>Jan 27 06:21:22 rpmi: libnghttp2-1.57.0-alt1 sisyphus+331457.200.2.1 1697011708 installed <13>Jan 27 06:21:22 rpmi: openldap-common-2.6.6-alt1 sisyphus+330946.100.2.1 1696432854 installed <13>Jan 27 06:21:22 rpmi: libntlm-1.5-alt1 sisyphus+278100.3300.1.1 1626059663 installed <13>Jan 27 06:21:22 rpmi: libidn-1.37-alt2 sisyphus+300849.100.1.1 1653769693 installed <13>Jan 27 06:21:22 rpmi: libverto-0.3.2-alt1_1 sisyphus+321176.2200.10.2 1684806164 installed <13>Jan 27 06:21:22 rpmi: liblmdb-0.9.31-alt1 sisyphus+330946.40.2.1 1696431544 installed <13>Jan 27 06:21:22 rpmi: libkeyutils-1.6.3-alt1 sisyphus+266061.100.1.1 1612919567 installed <13>Jan 27 06:21:22 rpmi: libcom_err-1.46.4.0.5.4cda-alt1 sisyphus+283826.100.1.1 1629975361 installed <86>Jan 27 06:21:22 groupadd[1886359]: group added to /etc/group: name=_keytab, GID=999 <86>Jan 27 06:21:22 groupadd[1886359]: group added to /etc/gshadow: name=_keytab <86>Jan 27 06:21:22 groupadd[1886359]: new group: name=_keytab, GID=999 <13>Jan 27 06:21:22 rpmi: libkrb5-1.21.2-alt1 sisyphus+327265.100.1.1 1692185512 installed <13>Jan 27 06:21:22 rpmi: libssh-0.10.6-alt1 sisyphus+338050.100.1.2 1705656359 installed <13>Jan 27 06:21:22 rpmi: libgsasl-2.2.0-alt1 sisyphus+333173.100.1.1 1698696961 installed <86>Jan 27 06:21:22 groupadd[1886791]: group added to /etc/group: name=sasl, GID=998 <86>Jan 27 06:21:22 groupadd[1886791]: group added to /etc/gshadow: name=sasl <86>Jan 27 06:21:22 groupadd[1886791]: new group: name=sasl, GID=998 <13>Jan 27 06:21:22 rpmi: libsasl2-3-2.1.27-alt2.2 sisyphus+324359.6000.12.1 1689392231 installed <13>Jan 27 06:21:22 rpmi: libldap2-2.6.6-alt1 sisyphus+330946.100.2.1 1696432858 installed <13>Jan 27 06:21:22 rpmi: libpq5-16.1-alt2 sisyphus+333513.6620.73.1 1704629512 installed <13>Jan 27 06:21:22 rpmi: python3-module-psycopg2-2.9.5-alt1 sisyphus+333513.16300.73.1 1704630356 installed <13>Jan 27 06:21:22 rpmi: python3-module-eventlet-0.35.0-alt1 sisyphus+338870.100.1.2 1706100340 installed <13>Jan 27 06:21:22 rpmi: libneon-0.32.5-alt1 sisyphus+337867.100.1.2 1705641068 installed <13>Jan 27 06:21:22 rpmi: librabbitmq-c4-0.13.0-alt2 sisyphus+334972.100.1.1 1700740684 installed <13>Jan 27 06:21:22 rpmi: libgme-0.6.3-alt2 sisyphus+293048.100.1.1 1641452309 installed <13>Jan 27 06:21:22 rpmi: libudfread-1.1.2-alt2 sisyphus+286325.100.1.1 1633263314 installed <13>Jan 27 06:21:22 rpmi: libzimg2-3.0.5-alt1 sisyphus+324805.100.1.1 1689254330 installed <13>Jan 27 06:21:22 rpmi: libfftw3-common-3.3.8-alt3 sisyphus+334479.300.3.1 1700076523 installed <13>Jan 27 06:21:22 rpmi: libfftw3-3.3.8-alt3 sisyphus+334479.300.3.1 1700076611 installed <13>Jan 27 06:21:22 rpmi: libchromaprint1-1.5.1-alt1 sisyphus+324130.100.1.1 1688382114 installed <13>Jan 27 06:21:22 rpmi: librubberband-3.3.0-alt1 sisyphus+328096.300.3.1 1693230967 installed <13>Jan 27 06:21:22 rpmi: vulkan-filesystem-1.3.268-alt1 sisyphus+334119.500.4.3 1699893796 installed <13>Jan 27 06:21:22 rpmi: libvulkan1-1.3.268-alt1 sisyphus+334119.500.4.3 1699893786 installed <13>Jan 27 06:21:22 rpmi: libunwind-1.7.0-alt2 sisyphus+335269.100.1.1 1701110935 installed <13>Jan 27 06:21:22 rpmi: libdovi3-2.1.0-alt1 sisyphus+334014.100.1.1 1699528219 installed <13>Jan 27 06:21:22 rpmi: libplacebo338-6.338.2-alt0.1 sisyphus+338843.200.2.1 1706091626 installed <13>Jan 27 06:21:22 rpmi: libpcre3-8.45-alt2 sisyphus+283722.100.1.2 1629848216 installed <13>Jan 27 06:21:22 rpmi: libsord-0.16.14-alt1_2 sisyphus+328228.100.1.1 1693337619 installed <13>Jan 27 06:21:22 rpmi: libsratom-0.6.6-alt2_1 sisyphus+324869.100.1.1 1689333943 installed <13>Jan 27 06:21:22 rpmi: liblilv-0.24.12-alt1_3 sisyphus+295914.100.1.1 1645726271 installed <13>Jan 27 06:21:22 rpmi: libsoxr-0.1.3-alt1.1 sisyphus+317908.100.1.1 1680415071 installed <13>Jan 27 06:21:22 rpmi: libxvid-1.3.7-alt1 sisyphus+292833.100.1.1 1640949611 installed <13>Jan 27 06:21:22 rpmi: libnuma-2.0.14-alt2 sisyphus+278485.100.1.1 1626104243 installed <13>Jan 27 06:21:22 rpmi: libx265-199-3.5-alt1.1 sisyphus+277560.100.1.1 1625696944 installed <13>Jan 27 06:21:22 rpmi: libxshmfence-1.3.2-alt1 sisyphus+311428.400.1.1 1670577529 installed <13>Jan 27 06:21:22 rpmi: libpciaccess-1:0.17-alt1 sisyphus+308663.300.1.1 1666168262 installed <13>Jan 27 06:21:22 rpmi: libdrm-1:2.4.120-alt1 sisyphus+338137.100.1.2 1705653180 installed <13>Jan 27 06:21:22 rpmi: libsnappy-1.1.7-alt1 sisyphus+276400.100.1.2 1625016400 installed <13>Jan 27 06:21:22 rpmi: libdatrie-0.2.13-alt1_7 sisyphus+328221.100.1.1 1693336967 installed <13>Jan 27 06:21:22 rpmi: libthai-0.1.29-alt1_6 sisyphus+328230.100.1.2 1693348044 installed <13>Jan 27 06:21:22 rpmi: libdeflate-1.19-alt1 sisyphus+329822.100.2.2 1695269332 installed <13>Jan 27 06:21:22 rpmi: libtiff5-4.4.0-alt4 sisyphus+322581.100.1.2 1686180093 installed <13>Jan 27 06:21:23 rpmi: libcamera-1:0.2.0-alt1 sisyphus+338024.100.2.2 1705663848 installed <13>Jan 27 06:21:23 rpmi: libgdk-pixbuf-locales-2.42.10-alt1 sisyphus+308991.100.1.1 1666721198 installed <13>Jan 27 06:21:23 rpmi: libdav1d-1.2.1-alt1 sisyphus+323931.100.1.1 1688113640 installed <13>Jan 27 06:21:23 rpmi: libcodec2-1.0.5-alt1 sisyphus+307919.100.1.1 1665032101 installed <13>Jan 27 06:21:23 rpmi: libpixman-3:0.43.0-alt1 sisyphus+338010.100.1.2 1705650526 installed <13>Jan 27 06:21:23 rpmi: libbrotlicommon-1.1.0-alt1 sisyphus+328501.100.1.1 1693598420 installed <13>Jan 27 06:21:23 rpmi: libbrotlidec-1.1.0-alt1 sisyphus+328501.100.1.1 1693598420 installed <13>Jan 27 06:21:23 rpmi: libcurl-8.5.0-alt1 sisyphus+335914.200.3.1 1701861019 installed <13>Jan 27 06:21:23 rpmi: libraptor2-2.0.16-alt1 sisyphus+337177.100.1.1 1703495660 installed <13>Jan 27 06:21:23 rpmi: liblrdf-0.6.1-alt1 sisyphus+278205.100.1.1 1626077043 installed <13>Jan 27 06:21:23 rpmi: libgraphite2-1.3.14-alt2.1 sisyphus+279571.100.1.2 1626605157 installed <13>Jan 27 06:21:23 rpmi: libharfbuzz-8.3.0-alt1 sisyphus+334471.200.2.1 1700075833 installed <13>Jan 27 06:21:23 rpmi: libfreetype-2.13.2-alt1 sisyphus+328677.100.1.1 1693834346 installed <13>Jan 27 06:21:23 rpmi: libfontconfig1-2.14.2-alt8 sisyphus+328444.100.1.1 1693553407 installed <13>Jan 27 06:21:23 rpmi: libass9-0.17.1-alt1 sisyphus+315891.100.1.1 1677487409 installed <13>Jan 27 06:21:23 rpmi: libbluray-1.3.4-alt1 sisyphus+310888.100.1.1 1669800491 installed <13>Jan 27 06:21:23 rpmi: libharfbuzz-gobject-8.3.0-alt1 sisyphus+334471.200.2.1 1700075833 installed <13>Jan 27 06:21:23 rpmi: libjson-c5-0.17-alt1 sisyphus+332175.100.1.1 1697724741 installed <13>Jan 27 06:21:23 rpmi: libCharLS2-2.0.0-alt1_3 sisyphus+276376.100.1.1 1624988381 installed <13>Jan 27 06:21:23 rpmi: gdcm-3.0.21-alt1 sisyphus+338650.100.1.1 1705929597 installed <13>Jan 27 06:21:23 rpmi: libdevmapper-1.02.196-alt1 sisyphus+328928.400.3.1 1694103939 installed <13>Jan 27 06:21:23 rpmi: mount-2.39.2-alt1 sisyphus+329530.100.1.1 1694630203 installed <13>Jan 27 06:21:23 rpmi: losetup-2.39.2-alt1 sisyphus+329530.100.1.1 1694630203 installed <13>Jan 27 06:21:23 rpmi: lsblk-2.39.2-alt1 sisyphus+329530.100.1.1 1694630203 installed <86>Jan 27 06:21:23 groupadd[1891580]: group added to /etc/group: name=tape, GID=997 <86>Jan 27 06:21:23 groupadd[1891580]: group added to /etc/gshadow: name=tape <86>Jan 27 06:21:23 groupadd[1891580]: new group: name=tape, GID=997 <86>Jan 27 06:21:23 groupadd[1891615]: group added to /etc/group: name=dialout, GID=996 <86>Jan 27 06:21:23 groupadd[1891615]: group added to /etc/gshadow: name=dialout <86>Jan 27 06:21:23 groupadd[1891615]: new group: name=dialout, GID=996 <86>Jan 27 06:21:23 groupadd[1891657]: group added to /etc/group: name=input, GID=995 <86>Jan 27 06:21:23 groupadd[1891657]: group added to /etc/gshadow: name=input <86>Jan 27 06:21:23 groupadd[1891657]: new group: name=input, GID=995 <86>Jan 27 06:21:23 groupadd[1891685]: group added to /etc/group: name=video, GID=994 <86>Jan 27 06:21:23 groupadd[1891685]: group added to /etc/gshadow: name=video <86>Jan 27 06:21:23 groupadd[1891685]: new group: name=video, GID=994 <86>Jan 27 06:21:23 groupadd[1891709]: group added to /etc/group: name=render, GID=993 <86>Jan 27 06:21:23 groupadd[1891709]: group added to /etc/gshadow: name=render <86>Jan 27 06:21:23 groupadd[1891709]: new group: name=render, GID=993 <86>Jan 27 06:21:23 groupadd[1891733]: group added to /etc/group: name=sgx, GID=992 <86>Jan 27 06:21:23 groupadd[1891733]: group added to /etc/gshadow: name=sgx <86>Jan 27 06:21:23 groupadd[1891733]: new group: name=sgx, GID=992 <13>Jan 27 06:21:23 rpmi: udev-1:254.7-alt1 sisyphus+336047.100.1.1 1701962805 installed <13>Jan 27 06:21:23 rpmi: dmsetup-1.02.196-alt1 sisyphus+328928.400.3.1 1694103939 installed <13>Jan 27 06:21:23 rpmi: libwacom-2.9.0-alt1 sisyphus+335268.100.1.1 1701109937 installed <13>Jan 27 06:21:23 rpmi: libinput-1.25.0-alt1 sisyphus+338236.100.2.3 1705674320 installed <13>Jan 27 06:21:23 rpmi: dconf-profile-0.1-alt1 sisyphus+325633.340.3.1 1690415358 installed <13>Jan 27 06:21:23 rpmi: desktop-file-utils-0.26-alt6 sisyphus+331944.100.1.3 1697550035 installed <13>Jan 27 06:21:23 rpmi: shared-mime-info-2.4-alt1 sisyphus+334259.100.1.1 1699787317 installed <13>Jan 27 06:21:23 rpmi: gsettings-desktop-schemas-data-45.0-alt1 sisyphus+325066.400.6.2 1695203930 installed <13>Jan 27 06:21:24 rpmi: libgio-2.78.4-alt1 sisyphus+338600.100.1.1 1705881097 installed <13>Jan 27 06:21:24 rpmi: gsettings-desktop-schemas-45.0-alt1 sisyphus+325066.400.6.2 1695203930 installed <13>Jan 27 06:21:24 rpmi: gobject-introspection-1.78.1-alt1.3 sisyphus+333513.62000.73.1 1704655439 installed <13>Jan 27 06:21:24 rpmi: libgstreamer1.0-1.22.9-alt1 sisyphus+338851.200.2.2 1706187046 installed <13>Jan 27 06:21:24 rpmi: libgdk-pixbuf-2.42.10-alt1 sisyphus+308991.100.1.1 1666721201 installed <13>Jan 27 06:21:24 rpmi: gstreamer1.0-1.22.9-alt1 sisyphus+338851.200.2.2 1706187046 installed <13>Jan 27 06:21:24 rpmi: libgstreamer1.0-gir-1.22.9-alt1 sisyphus+338851.200.2.2 1706187046 installed <13>Jan 27 06:21:24 rpmi: gobject-introspection-x11-1.78.1-alt1.3 sisyphus+333513.62000.73.1 1704655439 installed <13>Jan 27 06:21:24 rpmi: libglibmm-2.66.6-alt1 sisyphus+317974.200.1.1 1680536531 installed <13>Jan 27 06:21:24 rpmi: libxml++2-2.42.3-alt1 sisyphus+338062.100.1.2 1705656008 installed <13>Jan 27 06:21:24 rpmi: libffado-2.4.8-alt1 sisyphus+338548.100.1.1 1705789663 installed <13>Jan 27 06:21:24 rpmi: gtk4-update-icon-cache-4.12.5-alt1 sisyphus+338236.300.2.3 1705674887 installed <13>Jan 27 06:21:24 rpmi: libgdk-pixbuf-gir-2.42.10-alt1 sisyphus+308991.100.1.1 1666721201 installed <13>Jan 27 06:21:24 rpmi: libatk-gir-2.50.1-alt1.1 sisyphus+333513.115100.84.1 1705495732 installed <13>Jan 27 06:21:24 rpmi: libharfbuzz-gir-8.3.0-alt1 sisyphus+334471.200.2.1 1700075833 installed <13>Jan 27 06:21:24 rpmi: libdconf-0.40.0-alt3 sisyphus+325650.100.1.1 1690417204 installed <13>Jan 27 06:21:24 rpmi: libjson-glib-1.8.0-alt1 sisyphus+325066.600.6.2 1695204016 installed <13>Jan 27 06:21:24 rpmi: libgusb-0.4.8-alt1 sisyphus+333854.100.1.1 1699389324 installed <13>Jan 27 06:21:24 rpmi: libcolord-1.4.7-alt1.1 sisyphus+338793.100.1.1 1706039037 installed <13>Jan 27 06:21:24 rpmi: libnice-0.1.21-alt2 sisyphus+324575.200.1.1 1688980161 installed <13>Jan 27 06:21:24 rpmi: libproxy-0.5.3-alt1.2 sisyphus+335980.100.1.1 1701900058 installed <13>Jan 27 06:21:24 rpmi: libX11-locales-3:1.8.7-alt1 sisyphus+330921.200.1.1 1696400315 installed <13>Jan 27 06:21:24 rpmi: libXdmcp-1.1.4-alt1 sisyphus+311188.1000.1.1 1670233860 installed <13>Jan 27 06:21:24 rpmi: libXau-1.0.11-alt1 sisyphus+311428.100.1.1 1670577440 installed <13>Jan 27 06:21:24 rpmi: libxcb-1.16-alt1 sisyphus+327325.200.1.1 1692276267 installed <13>Jan 27 06:21:24 rpmi: libX11-3:1.8.7-alt1 sisyphus+330921.200.1.1 1696400319 installed <13>Jan 27 06:21:24 rpmi: libXext-1.3.5-alt1 sisyphus+309285.100.1.1 1667212413 installed <13>Jan 27 06:21:24 rpmi: libXrender-0.9.11-alt1 sisyphus+308841.100.1.1 1666436131 installed <13>Jan 27 06:21:24 rpmi: libcairo-1:1.18.0-alt1 sisyphus+330227.100.1.1 1695539082 installed <13>Jan 27 06:21:24 rpmi: libXfixes-6.0.1-alt1 sisyphus+331490.300.1.1 1697023235 installed <13>Jan 27 06:21:24 rpmi: libcairo-gobject-1:1.18.0-alt1 sisyphus+330227.100.1.1 1695539082 installed <13>Jan 27 06:21:24 rpmi: libXi-1.8-alt1 sisyphus+285490.200.1.1 1632124180 installed <13>Jan 27 06:21:24 rpmi: libgbm-4:23.3.4-alt1 sisyphus+338933.100.1.1 1706167342 installed <13>Jan 27 06:21:24 rpmi: python3-module-pycairo-1.25.1-alt1 sisyphus+333513.31500.73.1 1704631955 installed <13>Jan 27 06:21:24 rpmi: libXft-2.3.8-alt1 sisyphus+331490.400.1.1 1697023273 installed <13>Jan 27 06:21:24 rpmi: libpango-1.51.1-alt1 sisyphus+329828.40.3.1 1695333195 installed <13>Jan 27 06:21:24 rpmi: librsvg-1:2.57.1-alt1 sisyphus+336610.100.1.1 1702737328 installed <13>Jan 27 06:21:24 rpmi: libtk-8.6.13-alt1 sisyphus+310696.200.1.1 1669548528 installed <13>Jan 27 06:21:24 rpmi: tk-8.6.13-alt1 sisyphus+310696.200.1.1 1669548528 installed <13>Jan 27 06:21:24 rpmi: libXrandr-1.5.4-alt1 sisyphus+330992.100.1.1 1696485401 installed <13>Jan 27 06:21:24 rpmi: libXv-1.0.12-alt1 sisyphus+311188.600.1.1 1670233801 installed <13>Jan 27 06:21:24 rpmi: libzvbi-0.2.35-alt2 sisyphus+275416.100.1.3 1624507130 installed <13>Jan 27 06:21:24 rpmi: libXdamage-1.1.6-alt1 sisyphus+311188.300.1.1 1670233713 installed <13>Jan 27 06:21:24 rpmi: tcl-tix-8.4.3-alt4 sisyphus+277292.300.2.1 1625442551 installed <13>Jan 27 06:21:24 rpmi: python3-modules-tkinter-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:24 rpmi: python3-module-automat-22.10.0-alt1 sisyphus+322927.200.2.1 1686736914 installed <13>Jan 27 06:21:24 rpmi: python3-module-twisted-logger-22.10.0-alt2 sisyphus+333513.32500.72.1 1704589956 installed <13>Jan 27 06:21:24 rpmi: python3-module-twisted-web-22.10.0-alt2 sisyphus+333513.32500.72.1 1704589956 installed <13>Jan 27 06:21:24 rpmi: python3-module-twisted-words-22.10.0-alt2 sisyphus+333513.32500.72.1 1704589956 installed <13>Jan 27 06:21:24 rpmi: python3-module-twisted-core-22.10.0-alt2 sisyphus+333513.32500.72.1 1704589956 installed <13>Jan 27 06:21:24 rpmi: python3-module-twisted-names-22.10.0-alt2 sisyphus+333513.32500.72.1 1704589956 installed <13>Jan 27 06:21:24 rpmi: python3-module-tornado-6.4.0-alt1 sisyphus+338807.100.1.1 1706060382 installed <13>Jan 27 06:21:25 rpmi: python3-module-gunicorn-20.1.0-alt2 sisyphus+338616.200.2.1 1705909828 installed <13>Jan 27 06:21:25 rpmi: python3-module-aiohttp-3.9.1-alt1 sisyphus+338371.640.8.1 1706005889 installed <13>Jan 27 06:21:25 rpmi: python3-module-GeoIP2-4.8.0-alt1 sisyphus+337372.100.1.1 1703703792 installed <13>Jan 27 06:21:25 rpmi: python3-module-django-dbbackend-postgresql-4.2.8-alt1 sisyphus+337270.100.2.2 1703597726 installed <13>Jan 27 06:21:25 rpmi: python3-module-django-4.2.8-alt1 sisyphus+337270.100.2.2 1703597726 installed <13>Jan 27 06:21:25 rpmi: python3-module-black-23.12.1-alt1 sisyphus+337185.200.2.1 1703500468 installed <13>Jan 27 06:21:25 rpmi: python3-module-hypothesis-6.82.3-alt1 sisyphus+316966.600.6.1 1691750660 installed <13>Jan 27 06:21:25 rpmi: python3-module-numpy-testing-1:1.25.2-alt3.1 sisyphus+333513.52420.73.1 1704646544 installed <13>Jan 27 06:21:25 rpmi: libpango-gir-1.51.1-alt1 sisyphus+329828.40.3.1 1695333195 installed <13>Jan 27 06:21:25 rpmi: libXcursor-1.2.1-alt1 sisyphus+297765.200.1.1 1649053934 installed <13>Jan 27 06:21:25 rpmi: libXtst-1.2.4-alt1 sisyphus+308663.1300.1.1 1666168504 installed <13>Jan 27 06:21:25 rpmi: libXxf86vm-1.1.5-alt1 sisyphus+308663.1400.1.1 1666168534 installed <13>Jan 27 06:21:25 rpmi: libGLX-mesa-4:23.3.4-alt1 sisyphus+338933.100.1.1 1706167342 installed <13>Jan 27 06:21:25 rpmi: libGLX-7:1.7.0-alt1 sisyphus+330949.100.1.1 1696424894 installed <13>Jan 27 06:21:25 rpmi: libGL-7:1.7.0-alt1 sisyphus+330949.100.1.1 1696424894 installed <13>Jan 27 06:21:25 rpmi: libva-2.20.0-alt1 sisyphus+332571.200.1.1 1698135377 installed <13>Jan 27 06:21:25 rpmi: libEGL-mesa-4:23.3.4-alt1 sisyphus+338933.100.1.1 1706167342 installed <13>Jan 27 06:21:25 rpmi: libEGL-7:1.7.0-alt1 sisyphus+330949.100.1.1 1696424894 installed <13>Jan 27 06:21:25 rpmi: libgst-plugins1.0-1.22.9-alt1 sisyphus+338851.300.2.2 1706187163 installed <13>Jan 27 06:21:25 rpmi: libgst-plugins1.0-gir-1.22.9-alt1 sisyphus+338851.300.2.2 1706187163 installed <13>Jan 27 06:21:25 rpmi: gst-plugins-ugly1.0-1.22.9-alt1 sisyphus+338851.600.2.2 1706187503 installed <13>Jan 27 06:21:25 rpmi: libvdpau-1:1.5-alt1 sisyphus+298034.100.1.1 1649336827 installed <13>Jan 27 06:21:25 rpmi: libavutil58-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:25 rpmi: libswscale7-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:25 rpmi: libswresample4-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:26 rpmi: libavcodec60-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:26 rpmi: libavformat60-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:26 rpmi: libpostproc57-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:26 rpmi: libavfilter9-2:6.1.1-alt1 sisyphus+338178.100.1.2 1705709848 installed <13>Jan 27 06:21:26 rpmi: gst-libav-1.22.9-alt1 sisyphus+338851.1000.2.2 1706187575 installed <13>Jan 27 06:21:26 rpmi: libXinerama-1.1.5-alt1 sisyphus+309287.100.1.1 1667213209 installed <13>Jan 27 06:21:26 rpmi: xprop-1.2.5-alt1 sisyphus+279025.100.1.1 1626354193 installed <13>Jan 27 06:21:26 rpmi: libXcomposite-0.4.6-alt1 sisyphus+311188.200.1.1 1670233684 installed <13>Jan 27 06:21:26 rpmi: libxcbutil-icccm-0.4.1-alt2 sisyphus+278275.100.1.2 1626148617 installed <13>Jan 27 06:21:26 rpmi: libxcbutil-1:0.4.1-alt1 sisyphus+312057.100.1.1 1671526889 installed <13>Jan 27 06:21:26 rpmi: libxcbutil-image-0.4.0-alt1 sisyphus+275413.100.1.3 1624505806 installed <13>Jan 27 06:21:26 rpmi: libxcbutil-keysyms-0.4.0-alt1 sisyphus+278187.100.1.1 1626075950 installed <13>Jan 27 06:21:26 rpmi: libxcb-render-util-0.3.9-alt3 sisyphus+276916.100.1.2 1625275237 installed <13>Jan 27 06:21:26 rpmi: libxkbcommon-x11-1.6.0-alt1 sisyphus+331300.100.1.1 1696855236 installed <13>Jan 27 06:21:26 rpmi: python3-module-Pillow-10.2.0-alt1 sisyphus+338850.300.3.1 1706108863 installed <13>Jan 27 06:21:26 rpmi: liblz4-1:1.9.4-alt1 sisyphus+309416.100.1.1 1667413000 installed <13>Jan 27 06:21:26 rpmi: libsystemd-1:254.7-alt1 sisyphus+336047.100.1.1 1701962805 installed <13>Jan 27 06:21:26 rpmi: libdbus-1.14.10-alt1 sisyphus+328676.100.1.1 1693833782 installed <13>Jan 27 06:21:26 rpmi: libpulseaudio-17.0-alt1 sisyphus+338170.100.2.2 1705657505 installed <13>Jan 27 06:21:26 rpmi: libqt5-dbus-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:26 rpmi: libqt5-network-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:26 rpmi: libqt5-eglfsdeviceintegration-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:26 rpmi: libqt5-xcbqpa-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:26 rpmi: libqt5-eglfskmssupport-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:26 rpmi: libqt5-gui-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:27 rpmi: libqt5-widgets-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:27 rpmi: libqt5-qmlmodels-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libqt5-qmlworkerscript-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libqt5-quick-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libqt5-quickshapes-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libqt5-qml-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libat-spi2-core-2.50.1-alt1.1 sisyphus+333513.115100.84.1 1705495732 installed <13>Jan 27 06:21:27 rpmi: libavahi-0.8-alt2 sisyphus+321176.300.10.2 1684803998 installed <13>Jan 27 06:21:27 rpmi: libcups-2.4.7-alt2 sisyphus+333092.100.1.1 1698654164 installed <13>Jan 27 06:21:27 rpmi: libqt5-printsupport-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:27 rpmi: at-spi2-atk-2.50.1-alt1.1 sisyphus+333513.115100.84.1 1705495732 installed <13>Jan 27 06:21:27 rpmi: libqt5-bluetooth-5.15.12-alt1 sisyphus+338046.2300.5.2 1706041338 installed <13>Jan 27 06:21:27 rpmi: qt5-quickcontrols-5.15.12-alt1 sisyphus+338046.1400.5.2 1706040508 installed <13>Jan 27 06:21:27 rpmi: libqt5-positioningquick-5.15.12-alt1 sisyphus+338046.1000.5.2 1706040136 installed <13>Jan 27 06:21:27 rpmi: libqt5-positioning-5.15.12-alt1 sisyphus+338046.1000.5.2 1706040136 installed <13>Jan 27 06:21:27 rpmi: libqt5-location-5.15.12-alt1 sisyphus+338046.1000.5.2 1706040136 installed <13>Jan 27 06:21:27 rpmi: libqt5-nfc-5.15.12-alt1 sisyphus+338046.2300.5.2 1706041338 installed <13>Jan 27 06:21:27 rpmi: libqt5-quickwidgets-5.15.12-alt1 sisyphus+338046.200.5.2 1706038949 installed <13>Jan 27 06:21:27 rpmi: libqt5-sensors-5.15.12-alt1 sisyphus+338046.1100.5.2 1706040260 installed <13>Jan 27 06:21:27 rpmi: libqt5-webchannel-5.15.12-alt1 sisyphus+338046.1300.5.2 1706040374 installed <13>Jan 27 06:21:27 rpmi: libqt5-websockets-5.15.12-alt1 sisyphus+338046.500.5.2 1706039551 installed <13>Jan 27 06:21:27 rpmi: libqt5-xmlpatterns-5.15.12-alt1 sisyphus+338046.300.5.2 1706039163 installed <13>Jan 27 06:21:27 rpmi: libqt5-designer-5.15.12-alt1 sisyphus+338046.400.5.2 1706039400 installed <13>Jan 27 06:21:27 rpmi: libqt5-help-5.15.12-alt1 sisyphus+338046.400.5.2 1706039400 installed <13>Jan 27 06:21:27 rpmi: libqt5-opengl-5.15.12-alt1 sisyphus+338046.100.5.2 1706038355 installed <13>Jan 27 06:21:27 rpmi: libqt5-svg-5.15.12-alt1 sisyphus+338046.1700.5.2 1706040784 installed <13>Jan 27 06:21:27 rpmi: libqt5-x11extras-5.15.12-alt1 sisyphus+338046.1600.5.2 1706040717 installed <13>Jan 27 06:21:27 rpmi: libqt5-remoteobjects-5.15.12-alt1 sisyphus+338046.4300.5.2 1706047193 installed <13>Jan 27 06:21:27 rpmi: dbus-tools-1.14.10-alt1 sisyphus+328676.100.1.1 1693833782 installed <86>Jan 27 06:21:27 groupadd[1922211]: group added to /etc/group: name=messagebus, GID=991 <86>Jan 27 06:21:27 groupadd[1922211]: group added to /etc/gshadow: name=messagebus <86>Jan 27 06:21:27 groupadd[1922211]: new group: name=messagebus, GID=991 <86>Jan 27 06:21:27 useradd[1922229]: new user: name=messagebus, UID=999, GID=991, home=/run/dbus, shell=/dev/null, from=none <13>Jan 27 06:21:27 rpmi: dbus-1.14.10-alt1 sisyphus+328676.100.1.1 1693833782 installed <13>Jan 27 06:21:27 rpmi: dbus-tools-gui-1.14.10-alt1 sisyphus+328676.100.1.1 1693833782 installed <13>Jan 27 06:21:28 rpmi: at-spi2-core-2.50.1-alt1.1 sisyphus+333513.115100.84.1 1705495732 installed <13>Jan 27 06:21:28 rpmi: dconf-0.40.0-alt3 sisyphus+325650.100.1.1 1690417204 installed <13>Jan 27 06:21:28 rpmi: libgtk+3-schemas-3.24.41-alt1 sisyphus+338860.100.1.1 1706093861 installed <13>Jan 27 06:21:28 rpmi: libzbar-0.23.92-alt5 sisyphus+333513.112300.79.1 1705097843 installed <13>Jan 27 06:21:28 rpmi: libpolkit-123-alt1 sisyphus+335977.600.4.1 1701898498 installed <86>Jan 27 06:21:28 groupadd[1922414]: group added to /etc/group: name=colord, GID=990 <86>Jan 27 06:21:28 groupadd[1922414]: group added to /etc/gshadow: name=colord <86>Jan 27 06:21:28 groupadd[1922414]: new group: name=colord, GID=990 <86>Jan 27 06:21:28 useradd[1922437]: new user: name=colord, UID=998, GID=990, home=/var/colord, shell=/dev/null, from=none <13>Jan 27 06:21:28 rpmi: colord-1.4.7-alt1.1 sisyphus+338793.100.1.1 1706039037 installed <13>Jan 27 06:21:28 rpmi: libgtk+3-3.24.41-alt1 sisyphus+338860.100.1.1 1706093890 installed <13>Jan 27 06:21:28 rpmi: libgtk+3-gir-3.24.41-alt1 sisyphus+338860.100.1.1 1706093890 installed <13>Jan 27 06:21:28 rpmi: python3-module-pygobject3-3.46.0-alt1 sisyphus+333513.62100.73.1 1704655488 installed <13>Jan 27 06:21:29 rpmi: libopencv4.8-1:4.8.1-alt1 sisyphus+333513.56300.73.1 1704651864 installed <13>Jan 27 06:21:29 rpmi: alsa-ucm-conf-1.2.10-alt2 sisyphus+337619.100.1.1 1704220124 installed <13>Jan 27 06:21:29 rpmi: alsa-topology-conf-1.2.5.1-alt1 sisyphus+274777.100.1.1 1624089141 installed <13>Jan 27 06:21:29 rpmi: libalsa-1:1.2.10-alt2 sisyphus+337619.200.1.1 1704220189 installed <13>Jan 27 06:21:29 rpmi: libcanberra-0.30-alt3 sisyphus+275093.100.2.3 1624562354 installed <13>Jan 27 06:21:29 rpmi: pipewire-libs-1.0.1-alt1 sisyphus+338024.200.2.3 1705666227 installed <13>Jan 27 06:21:29 rpmi: pipewire-jack-libs-1.0.1-alt1 sisyphus+338024.200.2.3 1705666227 installed <13>Jan 27 06:21:29 rpmi: libfluidsynth-2.3.4-alt1 sisyphus+330255.500.3.1 1695660771 installed <13>Jan 27 06:21:29 rpmi: gst-plugins-good1.0-1.22.9-alt1 sisyphus+338851.400.2.2 1706187287 installed <13>Jan 27 06:21:29 rpmi: libSDL-1.2.14-alt10 sisyphus+284852.100.1.1 1631107844 installed <13>Jan 27 06:21:29 rpmi: libmjpegtools2.1-2.2.1-alt2 sisyphus+332812.400.2.1 1698405792 installed <13>Jan 27 06:21:29 rpmi: gst-plugins-bad1.0-1.22.9-alt1 sisyphus+338851.500.2.2 1706187441 installed <13>Jan 27 06:21:30 rpmi: gst-plugins-base1.0-1.22.9-alt1 sisyphus+338851.300.2.2 1706187163 installed <13>Jan 27 06:21:30 rpmi: libqt5-multimedia-5.15.12-alt1 sisyphus+338046.600.5.2 1706039804 installed <13>Jan 27 06:21:30 rpmi: python3-module-PyQt5-5.15.10-alt1 sisyphus+333513.66300.74.1 1704719204 installed <13>Jan 27 06:21:30 rpmi: python3-module-mpl_toolkits-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:30 rpmi: python3-module-matplotlib-cairo-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:30 rpmi: python3-module-matplotlib-gtk3-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:30 rpmi: python3-module-matplotlib-backend_gtk-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:30 rpmi: python3-module-matplotlib-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:30 rpmi: python3-module-matplotlib-qt5-3.7.2-alt1 sisyphus+333513.66400.74.1 1704719419 installed <13>Jan 27 06:21:31 rpmi: python3-module-scipy-1.11.4-alt2.1 sisyphus+338739.100.1.1 1706007297 installed <13>Jan 27 06:21:32 rpmi: python3-module-scikit-learn-1.3.0-alt3 sisyphus+333513.105040.79.1 1705092813 installed <13>Jan 27 06:21:32 rpmi: python3-module-tqdm-4.66.1-alt2 sisyphus+338994.100.1.1 1706199408 installed <13>Jan 27 06:21:32 rpmi: python3-module-wheel-0.42.0-alt1 sisyphus+336049.100.2.1 1702033503 installed <13>Jan 27 06:21:32 rpmi: python3-module-pytest-mock-3.11.1-alt1 sisyphus+323311.100.2.2 1687175799 installed <13>Jan 27 06:21:32 rpmi: python3-modules-sqlite3-3.12.1-alt1 sisyphus+338551.300.3.1 1705938690 installed <13>Jan 27 06:21:32 rpmi: python3-module-regex-2023.5.5-alt1 sisyphus+333513.21500.71.1 1704543188 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/python3-module-nltk-3.8.1-alt1.nosrc.rpm (w1.gzdio) <13>Jan 27 06:21:36 rpmi: python3-module-pyproject-installer-0.5.2-alt1 sisyphus+324644.100.2.1 1689089627 installed Installing python3-module-nltk-3.8.1-alt1.src.rpm Building target platforms: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.14824 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + rm -rf python3-module-nltk-3.8.1 + echo 'Source #0 (python3-module-nltk-3.8.1.tar):' Source #0 (python3-module-nltk-3.8.1.tar): + /bin/tar -xf /usr/src/RPM/SOURCES/python3-module-nltk-3.8.1.tar + cd python3-module-nltk-3.8.1 + /bin/chmod -c -Rf u+rwX,go-w . + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.14824 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python3-module-nltk-3.8.1 + export 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + export 'CXXFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + export 'FFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + /usr/bin/python3 -m pyproject_installer -v build INFO : pyproject_installer.build_cmd._build : Building wheel INFO : pyproject_installer.build_cmd._build : Source tree: /usr/src/RPM/BUILD/python3-module-nltk-3.8.1 INFO : pyproject_installer.build_cmd._build : Output dir: /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist DEBUG : pyproject_installer.lib.build_backend : Validating source path DEBUG : pyproject_installer.lib.build_backend : Checking for PEP517 spec INFO : pyproject_installer.lib.build_backend : pyproject.toml was not found, using defaults INFO : backend_caller.py : Calling hook build_wheel in subprocess INFO : backend_caller.py : Build backend: setuptools.build_meta:__legacy__ INFO : backend_caller.py : Hook args: ['/usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist'] INFO : backend_caller.py : Hook kwargs: {'config_settings': None} INFO : root : running bdist_wheel INFO : root : running build INFO : root : running build_py INFO : root : creating build INFO : root : creating build/lib INFO : root : creating build/lib/nltk INFO : root : copying nltk/wsd.py -> build/lib/nltk INFO : root : copying nltk/util.py -> build/lib/nltk INFO : root : copying nltk/treetransforms.py -> build/lib/nltk INFO : root : copying nltk/treeprettyprinter.py -> build/lib/nltk INFO : root : copying nltk/toolbox.py -> build/lib/nltk INFO : root : copying nltk/tgrep.py -> build/lib/nltk INFO : root : copying nltk/text.py -> build/lib/nltk INFO : root : copying nltk/probability.py -> build/lib/nltk INFO : root : copying nltk/lazyimport.py -> build/lib/nltk INFO : root : copying nltk/langnames.py -> build/lib/nltk INFO : root : copying nltk/jsontags.py -> build/lib/nltk INFO : root : copying nltk/internals.py -> build/lib/nltk INFO : root : copying nltk/help.py -> build/lib/nltk INFO : root : copying nltk/grammar.py -> build/lib/nltk INFO : root : copying nltk/featstruct.py -> build/lib/nltk INFO : root : copying nltk/downloader.py -> build/lib/nltk INFO : root : copying nltk/decorators.py -> build/lib/nltk INFO : root : copying nltk/data.py -> build/lib/nltk INFO : root : copying nltk/compat.py -> build/lib/nltk INFO : root : copying nltk/collocations.py -> build/lib/nltk INFO : root : copying nltk/collections.py -> build/lib/nltk INFO : root : copying nltk/cli.py -> build/lib/nltk INFO : root : copying nltk/book.py -> build/lib/nltk INFO : root : copying nltk/__init__.py -> build/lib/nltk INFO : root : creating build/lib/nltk/twitter INFO : root : copying nltk/twitter/util.py -> build/lib/nltk/twitter INFO : root : copying nltk/twitter/twitterclient.py -> build/lib/nltk/twitter INFO : root : copying nltk/twitter/twitter_demo.py -> build/lib/nltk/twitter INFO : root : copying nltk/twitter/common.py -> build/lib/nltk/twitter INFO : root : copying nltk/twitter/api.py -> build/lib/nltk/twitter INFO : root : copying nltk/twitter/__init__.py -> build/lib/nltk/twitter INFO : root : creating build/lib/nltk/tree INFO : root : copying nltk/tree/tree.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/transforms.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/probabilistic.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/prettyprinter.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/parsing.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/parented.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/immutable.py -> build/lib/nltk/tree INFO : root : copying nltk/tree/__init__.py -> build/lib/nltk/tree INFO : root : creating build/lib/nltk/translate INFO : root : copying nltk/translate/stack_decoder.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ribes_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/phrase_based.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/nist_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/metrics.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/meteor_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm_model.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm5.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm4.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm3.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm2.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/ibm1.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/gleu_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/gdfa.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/gale_church.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/chrf_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/bleu_score.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/api.py -> build/lib/nltk/translate INFO : root : copying nltk/translate/__init__.py -> build/lib/nltk/translate INFO : root : creating build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/util.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/treebank.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/toktok.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/texttiling.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/stanford_segmenter.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/stanford.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/sonority_sequencing.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/simple.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/sexpr.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/repp.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/regexp.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/punkt.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/nist.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/mwe.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/legality_principle.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/destructive.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/casual.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/api.py -> build/lib/nltk/tokenize INFO : root : copying nltk/tokenize/__init__.py -> build/lib/nltk/tokenize INFO : root : creating build/lib/nltk/test INFO : root : copying nltk/test/setup_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/probability_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/portuguese_en_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/gluesemantics_malt_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/gensim_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/conftest.py -> build/lib/nltk/test INFO : root : copying nltk/test/classify_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/childes_fixt.py -> build/lib/nltk/test INFO : root : copying nltk/test/all.py -> build/lib/nltk/test INFO : root : copying nltk/test/__init__.py -> build/lib/nltk/test INFO : root : creating build/lib/nltk/tbl INFO : root : copying nltk/tbl/template.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/rule.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/feature.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/erroranalysis.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/demo.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/api.py -> build/lib/nltk/tbl INFO : root : copying nltk/tbl/__init__.py -> build/lib/nltk/tbl INFO : root : creating build/lib/nltk/tag INFO : root : copying nltk/tag/util.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/tnt.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/stanford.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/sequential.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/senna.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/perceptron.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/mapping.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/hunpos.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/hmm.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/crf.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/brill_trainer.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/brill.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/api.py -> build/lib/nltk/tag INFO : root : copying nltk/tag/__init__.py -> build/lib/nltk/tag INFO : root : creating build/lib/nltk/stem INFO : root : copying nltk/stem/wordnet.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/util.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/snowball.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/rslp.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/regexp.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/porter.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/lancaster.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/isri.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/cistem.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/arlstem2.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/arlstem.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/api.py -> build/lib/nltk/stem INFO : root : copying nltk/stem/__init__.py -> build/lib/nltk/stem INFO : root : creating build/lib/nltk/sentiment INFO : root : copying nltk/sentiment/vader.py -> build/lib/nltk/sentiment INFO : root : copying nltk/sentiment/util.py -> build/lib/nltk/sentiment INFO : root : copying nltk/sentiment/sentiment_analyzer.py -> build/lib/nltk/sentiment INFO : root : copying nltk/sentiment/__init__.py -> build/lib/nltk/sentiment INFO : root : creating build/lib/nltk/sem INFO : root : copying nltk/sem/util.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/skolemize.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/relextract.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/logic.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/linearlogic.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/lfg.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/hole.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/glue.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/evaluate.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/drt_glue_demo.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/drt.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/cooper_storage.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/chat80.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/boxer.py -> build/lib/nltk/sem INFO : root : copying nltk/sem/__init__.py -> build/lib/nltk/sem INFO : root : creating build/lib/nltk/parse INFO : root : copying nltk/parse/viterbi.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/util.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/transitionparser.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/stanford.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/shiftreduce.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/recursivedescent.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/projectivedependencyparser.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/pchart.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/nonprojectivedependencyparser.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/malt.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/generate.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/featurechart.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/evaluate.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/earleychart.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/dependencygraph.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/corenlp.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/chart.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/bllip.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/api.py -> build/lib/nltk/parse INFO : root : copying nltk/parse/__init__.py -> build/lib/nltk/parse INFO : root : creating build/lib/nltk/misc INFO : root : copying nltk/misc/wordfinder.py -> build/lib/nltk/misc INFO : root : copying nltk/misc/sort.py -> build/lib/nltk/misc INFO : root : copying nltk/misc/minimalset.py -> build/lib/nltk/misc INFO : root : copying nltk/misc/chomsky.py -> build/lib/nltk/misc INFO : root : copying nltk/misc/babelfish.py -> build/lib/nltk/misc INFO : root : copying nltk/misc/__init__.py -> build/lib/nltk/misc INFO : root : creating build/lib/nltk/metrics INFO : root : copying nltk/metrics/spearman.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/segmentation.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/scores.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/paice.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/distance.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/confusionmatrix.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/association.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/aline.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/agreement.py -> build/lib/nltk/metrics INFO : root : copying nltk/metrics/__init__.py -> build/lib/nltk/metrics INFO : root : creating build/lib/nltk/lm INFO : root : copying nltk/lm/vocabulary.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/util.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/smoothing.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/preprocessing.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/models.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/counter.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/api.py -> build/lib/nltk/lm INFO : root : copying nltk/lm/__init__.py -> build/lib/nltk/lm INFO : root : creating build/lib/nltk/inference INFO : root : copying nltk/inference/tableau.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/resolution.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/prover9.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/nonmonotonic.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/mace.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/discourse.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/api.py -> build/lib/nltk/inference INFO : root : copying nltk/inference/__init__.py -> build/lib/nltk/inference INFO : root : creating build/lib/nltk/draw INFO : root : copying nltk/draw/util.py -> build/lib/nltk/draw INFO : root : copying nltk/draw/tree.py -> build/lib/nltk/draw INFO : root : copying nltk/draw/table.py -> build/lib/nltk/draw INFO : root : copying nltk/draw/dispersion.py -> build/lib/nltk/draw INFO : root : copying nltk/draw/cfg.py -> build/lib/nltk/draw INFO : root : copying nltk/draw/__init__.py -> build/lib/nltk/draw INFO : root : creating build/lib/nltk/corpus INFO : root : copying nltk/corpus/util.py -> build/lib/nltk/corpus INFO : root : copying nltk/corpus/europarl_raw.py -> build/lib/nltk/corpus INFO : root : copying nltk/corpus/__init__.py -> build/lib/nltk/corpus INFO : root : creating build/lib/nltk/cluster INFO : root : copying nltk/cluster/util.py -> build/lib/nltk/cluster INFO : root : copying nltk/cluster/kmeans.py -> build/lib/nltk/cluster INFO : root : copying nltk/cluster/gaac.py -> build/lib/nltk/cluster INFO : root : copying nltk/cluster/em.py -> build/lib/nltk/cluster INFO : root : copying nltk/cluster/api.py -> build/lib/nltk/cluster INFO : root : copying nltk/cluster/__init__.py -> build/lib/nltk/cluster INFO : root : creating build/lib/nltk/classify INFO : root : copying nltk/classify/weka.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/util.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/textcat.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/tadm.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/svm.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/senna.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/scikitlearn.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/rte_classify.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/positivenaivebayes.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/naivebayes.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/megam.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/maxent.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/decisiontree.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/api.py -> build/lib/nltk/classify INFO : root : copying nltk/classify/__init__.py -> build/lib/nltk/classify INFO : root : creating build/lib/nltk/chunk INFO : root : copying nltk/chunk/util.py -> build/lib/nltk/chunk INFO : root : copying nltk/chunk/regexp.py -> build/lib/nltk/chunk INFO : root : copying nltk/chunk/named_entity.py -> build/lib/nltk/chunk INFO : root : copying nltk/chunk/api.py -> build/lib/nltk/chunk INFO : root : copying nltk/chunk/__init__.py -> build/lib/nltk/chunk INFO : root : creating build/lib/nltk/chat INFO : root : copying nltk/chat/zen.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/util.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/suntsu.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/rude.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/iesha.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/eliza.py -> build/lib/nltk/chat INFO : root : copying nltk/chat/__init__.py -> build/lib/nltk/chat INFO : root : creating build/lib/nltk/ccg INFO : root : copying nltk/ccg/logic.py -> build/lib/nltk/ccg INFO : root : copying nltk/ccg/lexicon.py -> build/lib/nltk/ccg INFO : root : copying nltk/ccg/combinator.py -> build/lib/nltk/ccg INFO : root : copying nltk/ccg/chart.py -> build/lib/nltk/ccg INFO : root : copying nltk/ccg/api.py -> build/lib/nltk/ccg INFO : root : copying nltk/ccg/__init__.py -> build/lib/nltk/ccg INFO : root : creating build/lib/nltk/app INFO : root : copying nltk/app/wordnet_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/wordfreq_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/srparser_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/rdparser_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/nemo_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/concordance_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/collocations_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/chunkparser_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/chartparser_app.py -> build/lib/nltk/app INFO : root : copying nltk/app/__init__.py -> build/lib/nltk/app INFO : root : creating build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_wordnet.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_util.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_twitter_auth.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_tokenize.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_tgrep.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_tag.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_stem.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_senna.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_seekable_unicode_stream_reader.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_rte_classify.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_ribes.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_pos_tag.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_pl196x.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_nombank.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_naivebayes.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_metrics.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_json_serialization.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_json2csv_corpus.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_hmm.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_freqdist.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_downloader.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_distance.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_disagreement.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_data.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_corpus_views.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_corpora.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_corenlp.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_concordance.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_collocations.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_classify.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_chunk.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_cfg2chomsky.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_cfd_mutation.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_brill.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_bllip.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/test_aline.py -> build/lib/nltk/test/unit INFO : root : copying nltk/test/unit/__init__.py -> build/lib/nltk/test/unit INFO : root : creating build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_stack_decoder.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_nist.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_meteor.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm_model.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm5.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm4.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm3.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm2.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_ibm1.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_gdfa.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/test_bleu.py -> build/lib/nltk/test/unit/translate INFO : root : copying nltk/test/unit/translate/__init__.py -> build/lib/nltk/test/unit/translate INFO : root : creating build/lib/nltk/test/unit/lm INFO : root : copying nltk/test/unit/lm/test_vocabulary.py -> build/lib/nltk/test/unit/lm INFO : root : copying nltk/test/unit/lm/test_preprocessing.py -> build/lib/nltk/test/unit/lm INFO : root : copying nltk/test/unit/lm/test_models.py -> build/lib/nltk/test/unit/lm INFO : root : copying nltk/test/unit/lm/test_counter.py -> build/lib/nltk/test/unit/lm INFO : root : copying nltk/test/unit/lm/__init__.py -> build/lib/nltk/test/unit/lm INFO : root : creating build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/ycoe.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/xmldocs.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/wordnet.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/wordlist.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/verbnet.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/util.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/udhr.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/twitter.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/toolbox.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/timit.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/tagged.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/switchboard.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/string_category.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/sinica_treebank.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/sentiwordnet.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/senseval.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/semcor.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/rte.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/reviews.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/pros_cons.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/propbank.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/ppattach.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/plaintext.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/pl196x.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/panlex_swadesh.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/panlex_lite.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/opinion_lexicon.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/nps_chat.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/nombank.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/nkjp.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/mte.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/markdown.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/lin.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/knbc.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/ipipan.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/indian.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/ieer.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/framenet.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/dependency.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/crubadan.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/conll.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/comparative_sents.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/cmudict.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/chunked.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/childes.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/chasen.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/categorized_sents.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/bracket_parse.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/bnc.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/bcp47.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/api.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/aligned.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/corpus/reader/__init__.py -> build/lib/nltk/corpus/reader INFO : root : copying nltk/test/wsd.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/wordnet_lch.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/wordnet.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/util.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/treetransforms.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/treeprettyprinter.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/tree.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/translate.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/toolbox.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/tokenize.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/tag.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/stem.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/simple.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/sentiwordnet.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/sentiment.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/semantics.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/resolution.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/relextract.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/propbank.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/probability.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/portuguese_en.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/parse.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/paice.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/nonmonotonic.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/misc.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/metrics.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/meteor.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/logic.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/lm.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/japanese.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/internals.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/inference.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/index.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/grammartestsuites.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/grammar.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/gluesemantics_malt.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/gluesemantics.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/gensim.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/generate.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/framenet.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/featstruct.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/featgram.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/drt.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/discourse.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/dependency.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/data.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/crubadan.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/corpus.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/concordance.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/collocations.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/collections.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/classify.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/chunk.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/childes.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/chat80.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/ccg_semantics.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/ccg.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/bnc.doctest -> build/lib/nltk/test INFO : root : copying nltk/test/bleu.doctest -> build/lib/nltk/test INFO : root : copying nltk/VERSION -> build/lib/nltk INFO : wheel : installing to build/bdist.linux-i686/wheel INFO : root : running install INFO : root : running install_lib INFO : root : creating build/bdist.linux-i686 INFO : root : creating build/bdist.linux-i686/wheel INFO : root : creating build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/VERSION -> build/bdist.linux-i686/wheel/nltk INFO : root : creating build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/__init__.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/chartparser_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/chunkparser_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/collocations_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/concordance_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/nemo_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/rdparser_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/srparser_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/wordfreq_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : copying build/lib/nltk/app/wordnet_app.py -> build/bdist.linux-i686/wheel/nltk/app INFO : root : creating build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/__init__.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/api.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/chart.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/combinator.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/lexicon.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : copying build/lib/nltk/ccg/logic.py -> build/bdist.linux-i686/wheel/nltk/ccg INFO : root : creating build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/__init__.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/eliza.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/iesha.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/rude.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/suntsu.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/util.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : copying build/lib/nltk/chat/zen.py -> build/bdist.linux-i686/wheel/nltk/chat INFO : root : creating build/bdist.linux-i686/wheel/nltk/chunk INFO : root : copying build/lib/nltk/chunk/__init__.py -> build/bdist.linux-i686/wheel/nltk/chunk INFO : root : copying build/lib/nltk/chunk/api.py -> build/bdist.linux-i686/wheel/nltk/chunk INFO : root : copying build/lib/nltk/chunk/named_entity.py -> build/bdist.linux-i686/wheel/nltk/chunk INFO : root : copying build/lib/nltk/chunk/regexp.py -> build/bdist.linux-i686/wheel/nltk/chunk INFO : root : copying build/lib/nltk/chunk/util.py -> build/bdist.linux-i686/wheel/nltk/chunk INFO : root : creating build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/__init__.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/api.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/decisiontree.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/maxent.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/megam.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/naivebayes.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/positivenaivebayes.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/rte_classify.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/scikitlearn.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/senna.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/svm.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/tadm.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/textcat.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/util.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : copying build/lib/nltk/classify/weka.py -> build/bdist.linux-i686/wheel/nltk/classify INFO : root : creating build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/__init__.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/api.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/em.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/gaac.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/kmeans.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : copying build/lib/nltk/cluster/util.py -> build/bdist.linux-i686/wheel/nltk/cluster INFO : root : creating build/bdist.linux-i686/wheel/nltk/corpus INFO : root : creating build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/__init__.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/aligned.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/api.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/bcp47.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/bnc.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/bracket_parse.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/categorized_sents.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/chasen.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/childes.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/chunked.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/cmudict.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/comparative_sents.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/conll.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/crubadan.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/dependency.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/framenet.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/ieer.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/indian.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/ipipan.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/knbc.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/lin.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/markdown.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/mte.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/nkjp.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/nombank.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/nps_chat.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/opinion_lexicon.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/panlex_lite.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/panlex_swadesh.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/pl196x.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/plaintext.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/ppattach.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/propbank.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/pros_cons.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/reviews.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/rte.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/semcor.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/senseval.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/sentiwordnet.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/sinica_treebank.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/string_category.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/switchboard.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/tagged.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/timit.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/toolbox.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/twitter.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/udhr.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/util.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/verbnet.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/wordlist.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/wordnet.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/xmldocs.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/reader/ycoe.py -> build/bdist.linux-i686/wheel/nltk/corpus/reader INFO : root : copying build/lib/nltk/corpus/__init__.py -> build/bdist.linux-i686/wheel/nltk/corpus INFO : root : copying build/lib/nltk/corpus/europarl_raw.py -> build/bdist.linux-i686/wheel/nltk/corpus INFO : root : copying build/lib/nltk/corpus/util.py -> build/bdist.linux-i686/wheel/nltk/corpus INFO : root : creating build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/__init__.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/cfg.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/dispersion.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/table.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/tree.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : copying build/lib/nltk/draw/util.py -> build/bdist.linux-i686/wheel/nltk/draw INFO : root : creating build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/__init__.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/api.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/discourse.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/mace.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/nonmonotonic.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/prover9.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/resolution.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : copying build/lib/nltk/inference/tableau.py -> build/bdist.linux-i686/wheel/nltk/inference INFO : root : creating build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/__init__.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/api.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/counter.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/models.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/preprocessing.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/smoothing.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/util.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : copying build/lib/nltk/lm/vocabulary.py -> build/bdist.linux-i686/wheel/nltk/lm INFO : root : creating build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/__init__.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/agreement.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/aline.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/association.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/confusionmatrix.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/distance.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/paice.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/scores.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/segmentation.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : copying build/lib/nltk/metrics/spearman.py -> build/bdist.linux-i686/wheel/nltk/metrics INFO : root : creating build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/__init__.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/babelfish.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/chomsky.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/minimalset.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/sort.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : copying build/lib/nltk/misc/wordfinder.py -> build/bdist.linux-i686/wheel/nltk/misc INFO : root : creating build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/__init__.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/api.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/bllip.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/chart.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/corenlp.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/dependencygraph.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/earleychart.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/evaluate.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/featurechart.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/generate.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/malt.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/nonprojectivedependencyparser.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/pchart.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/projectivedependencyparser.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/recursivedescent.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/shiftreduce.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/stanford.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/transitionparser.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/util.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : copying build/lib/nltk/parse/viterbi.py -> build/bdist.linux-i686/wheel/nltk/parse INFO : root : creating build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/__init__.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/boxer.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/chat80.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/cooper_storage.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/drt.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/drt_glue_demo.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/evaluate.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/glue.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/hole.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/lfg.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/linearlogic.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/logic.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/relextract.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/skolemize.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : copying build/lib/nltk/sem/util.py -> build/bdist.linux-i686/wheel/nltk/sem INFO : root : creating build/bdist.linux-i686/wheel/nltk/sentiment INFO : root : copying build/lib/nltk/sentiment/__init__.py -> build/bdist.linux-i686/wheel/nltk/sentiment INFO : root : copying build/lib/nltk/sentiment/sentiment_analyzer.py -> build/bdist.linux-i686/wheel/nltk/sentiment INFO : root : copying build/lib/nltk/sentiment/util.py -> build/bdist.linux-i686/wheel/nltk/sentiment INFO : root : copying build/lib/nltk/sentiment/vader.py -> build/bdist.linux-i686/wheel/nltk/sentiment INFO : root : creating build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/__init__.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/api.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/arlstem.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/arlstem2.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/cistem.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/isri.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/lancaster.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/porter.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/regexp.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/rslp.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/snowball.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/util.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : copying build/lib/nltk/stem/wordnet.py -> build/bdist.linux-i686/wheel/nltk/stem INFO : root : creating build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/__init__.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/api.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/brill.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/brill_trainer.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/crf.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/hmm.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/hunpos.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/mapping.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/perceptron.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/senna.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/sequential.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/stanford.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/tnt.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : copying build/lib/nltk/tag/util.py -> build/bdist.linux-i686/wheel/nltk/tag INFO : root : creating build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/__init__.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/api.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/demo.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/erroranalysis.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/feature.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/rule.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : copying build/lib/nltk/tbl/template.py -> build/bdist.linux-i686/wheel/nltk/tbl INFO : root : creating build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/bleu.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/bnc.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/ccg.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/ccg_semantics.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/chat80.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/childes.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/chunk.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/classify.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/collections.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/collocations.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/concordance.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/corpus.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/crubadan.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/data.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/dependency.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/discourse.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/drt.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/featgram.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/featstruct.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/framenet.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/generate.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/gensim.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/gluesemantics.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/gluesemantics_malt.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/grammar.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/grammartestsuites.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/index.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/inference.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/internals.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/japanese.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/lm.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/logic.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/meteor.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/metrics.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/misc.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/nonmonotonic.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/paice.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/parse.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/portuguese_en.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/probability.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/propbank.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/relextract.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/resolution.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/semantics.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/sentiment.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/sentiwordnet.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/simple.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/stem.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/tag.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/tokenize.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/toolbox.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/translate.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/tree.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/treeprettyprinter.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/treetransforms.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/util.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/wordnet.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/wordnet_lch.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/wsd.doctest -> build/bdist.linux-i686/wheel/nltk/test INFO : root : creating build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : creating build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : copying build/lib/nltk/test/unit/lm/__init__.py -> build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : copying build/lib/nltk/test/unit/lm/test_counter.py -> build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : copying build/lib/nltk/test/unit/lm/test_models.py -> build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : copying build/lib/nltk/test/unit/lm/test_preprocessing.py -> build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : copying build/lib/nltk/test/unit/lm/test_vocabulary.py -> build/bdist.linux-i686/wheel/nltk/test/unit/lm INFO : root : creating build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/__init__.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_bleu.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_gdfa.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm1.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm2.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm3.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm4.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm5.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_ibm_model.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_meteor.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_nist.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/translate/test_stack_decoder.py -> build/bdist.linux-i686/wheel/nltk/test/unit/translate INFO : root : copying build/lib/nltk/test/unit/__init__.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_aline.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_bllip.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_brill.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_cfd_mutation.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_cfg2chomsky.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_chunk.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_classify.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_collocations.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_concordance.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_corenlp.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_corpora.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_corpus_views.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_data.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_disagreement.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_distance.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_downloader.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_freqdist.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_hmm.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_json2csv_corpus.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_json_serialization.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_metrics.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_naivebayes.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_nombank.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_pl196x.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_pos_tag.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_ribes.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_rte_classify.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_seekable_unicode_stream_reader.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_senna.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_stem.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_tag.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_tgrep.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_tokenize.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_twitter_auth.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_util.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/unit/test_wordnet.py -> build/bdist.linux-i686/wheel/nltk/test/unit INFO : root : copying build/lib/nltk/test/__init__.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/all.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/childes_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/classify_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/conftest.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/gensim_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/gluesemantics_malt_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/portuguese_en_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/probability_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : copying build/lib/nltk/test/setup_fixt.py -> build/bdist.linux-i686/wheel/nltk/test INFO : root : creating build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/__init__.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/api.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/casual.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/destructive.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/legality_principle.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/mwe.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/nist.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/punkt.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/regexp.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/repp.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/sexpr.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/simple.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/sonority_sequencing.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/stanford.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/stanford_segmenter.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/texttiling.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/toktok.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/treebank.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : copying build/lib/nltk/tokenize/util.py -> build/bdist.linux-i686/wheel/nltk/tokenize INFO : root : creating build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/__init__.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/api.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/bleu_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/chrf_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/gale_church.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/gdfa.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/gleu_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm1.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm2.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm3.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm4.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm5.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ibm_model.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/meteor_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/metrics.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/nist_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/phrase_based.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/ribes_score.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : copying build/lib/nltk/translate/stack_decoder.py -> build/bdist.linux-i686/wheel/nltk/translate INFO : root : creating build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/__init__.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/immutable.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/parented.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/parsing.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/prettyprinter.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/probabilistic.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/transforms.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : copying build/lib/nltk/tree/tree.py -> build/bdist.linux-i686/wheel/nltk/tree INFO : root : creating build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/__init__.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/api.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/common.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/twitter_demo.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/twitterclient.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/twitter/util.py -> build/bdist.linux-i686/wheel/nltk/twitter INFO : root : copying build/lib/nltk/__init__.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/book.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/cli.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/collections.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/collocations.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/compat.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/data.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/decorators.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/downloader.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/featstruct.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/grammar.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/help.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/internals.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/jsontags.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/langnames.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/lazyimport.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/probability.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/text.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/tgrep.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/toolbox.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/treeprettyprinter.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/treetransforms.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/util.py -> build/bdist.linux-i686/wheel/nltk INFO : root : copying build/lib/nltk/wsd.py -> build/bdist.linux-i686/wheel/nltk INFO : root : running install_egg_info INFO : root : running egg_info INFO : root : creating nltk.egg-info INFO : root : writing nltk.egg-info/PKG-INFO INFO : root : writing dependency_links to nltk.egg-info/dependency_links.txt INFO : root : writing entry points to nltk.egg-info/entry_points.txt INFO : root : writing requirements to nltk.egg-info/requires.txt INFO : root : writing top-level names to nltk.egg-info/top_level.txt INFO : root : writing manifest file 'nltk.egg-info/SOURCES.txt' INFO : root : reading manifest file 'nltk.egg-info/SOURCES.txt' INFO : root : reading manifest template 'MANIFEST.in' WARNING : root : warning: no previously-included files matching '*~' found anywhere in distribution INFO : root : adding license file 'LICENSE.txt' INFO : root : adding license file 'AUTHORS.md' INFO : root : adding license file 'README.md' INFO : root : writing manifest file 'nltk.egg-info/SOURCES.txt' INFO : root : Copying nltk.egg-info to build/bdist.linux-i686/wheel/nltk-3.8.1-py3.12.egg-info INFO : root : running install_scripts INFO : wheel : creating build/bdist.linux-i686/wheel/nltk-3.8.1.dist-info/WHEEL INFO : wheel : creating '/usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist/.tmp-gjt974qz/nltk-3.8.1-py3-none-any.whl' and adding 'build/bdist.linux-i686/wheel' to it INFO : wheel : adding 'nltk/VERSION' INFO : wheel : adding 'nltk/__init__.py' INFO : wheel : adding 'nltk/book.py' INFO : wheel : adding 'nltk/cli.py' INFO : wheel : adding 'nltk/collections.py' INFO : wheel : adding 'nltk/collocations.py' INFO : wheel : adding 'nltk/compat.py' INFO : wheel : adding 'nltk/data.py' INFO : wheel : adding 'nltk/decorators.py' INFO : wheel : adding 'nltk/downloader.py' INFO : wheel : adding 'nltk/featstruct.py' INFO : wheel : adding 'nltk/grammar.py' INFO : wheel : adding 'nltk/help.py' INFO : wheel : adding 'nltk/internals.py' INFO : wheel : adding 'nltk/jsontags.py' INFO : wheel : adding 'nltk/langnames.py' INFO : wheel : adding 'nltk/lazyimport.py' INFO : wheel : adding 'nltk/probability.py' INFO : wheel : adding 'nltk/text.py' INFO : wheel : adding 'nltk/tgrep.py' INFO : wheel : adding 'nltk/toolbox.py' INFO : 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'nltk/twitter/twitterclient.py' INFO : wheel : adding 'nltk/twitter/util.py' INFO : wheel : adding 'nltk-3.8.1.dist-info/AUTHORS.md' INFO : wheel : adding 'nltk-3.8.1.dist-info/LICENSE.txt' INFO : wheel : adding 'nltk-3.8.1.dist-info/METADATA' INFO : wheel : adding 'nltk-3.8.1.dist-info/README.md' INFO : wheel : adding 'nltk-3.8.1.dist-info/WHEEL' INFO : wheel : adding 'nltk-3.8.1.dist-info/entry_points.txt' INFO : wheel : adding 'nltk-3.8.1.dist-info/top_level.txt' INFO : wheel : adding 'nltk-3.8.1.dist-info/RECORD' INFO : wheel : removing build/bdist.linux-i686/wheel INFO : pyproject_installer.build_cmd._build : Built wheel: nltk-3.8.1-py3-none-any.whl + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.52888 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + /bin/chmod -Rf u+rwX -- /usr/src/tmp/python3-module-nltk-buildroot + : + /bin/rm -rf -- /usr/src/tmp/python3-module-nltk-buildroot + PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games + cd python3-module-nltk-3.8.1 + /usr/bin/python3 -m pyproject_installer -v install --destdir=/usr/src/tmp/python3-module-nltk-buildroot INFO : pyproject_installer.install_cmd._install : Installing wheel INFO : pyproject_installer.install_cmd._install : Wheel directory: /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist INFO : pyproject_installer.install_cmd._install : Wheel filename: nltk-3.8.1-py3-none-any.whl INFO : pyproject_installer.install_cmd._install : Destination: /usr/src/tmp/python3-module-nltk-buildroot DEBUG : pyproject_installer.lib.wheel : Parsing wheel filename DEBUG : pyproject_installer.lib.wheel : Validating wheel file DEBUG : pyproject_installer.lib.wheel : Validating wheel spec version DEBUG : pyproject_installer.lib.wheel : Parsing wheel spec metadata DEBUG : pyproject_installer.lib.wheel : Validating RECORD INFO : pyproject_installer.install_cmd._install : Wheel installation root: /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages INFO : pyproject_installer.install_cmd._install : Extracting wheel DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/AUTHORS.md DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/LICENSE.txt DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/README.md DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/WHEEL DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/top_level.txt DEBUG : pyproject_installer.install_cmd._install : Filtering out not allowed file: nltk-3.8.1.dist-info/RECORD INFO : pyproject_installer.install_cmd._install : Generating entrypoints scripts DEBUG : pyproject_installer.lib.scripts : Installing console script: nltk INFO : pyproject_installer.install_cmd._install : Wheel was installed + rm -r /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/test + /usr/lib/rpm/brp-alt Cleaning files in /usr/src/tmp/python3-module-nltk-buildroot (auto) Verifying and fixing files in /usr/src/tmp/python3-module-nltk-buildroot (binconfig,pkgconfig,libtool,desktop,gnuconfig) Checking contents of files in /usr/src/tmp/python3-module-nltk-buildroot/ (default) Compressing files in /usr/src/tmp/python3-module-nltk-buildroot (auto) Adjusting library links in /usr/src/tmp/python3-module-nltk-buildroot ./usr/lib: (from :0) Verifying ELF objects in /usr/src/tmp/python3-module-nltk-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal) Bytecompiling python3 modules in /usr/src/tmp/python3-module-nltk-buildroot using /usr/bin/python3 compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/__init__.py compile 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/usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/common.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/twitter_demo.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/twitterclient.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/book.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cli.py compile 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/usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/wsd.py Bytecompiling python3 modules with optimization in /usr/src/tmp/python3-module-nltk-buildroot using /usr/bin/python3 -O compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/chartparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/chunkparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/collocations_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/concordance_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/nemo_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/rdparser_app.py compile 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compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/lin.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/markdown.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/mte.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/nkjp.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/nombank.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/nps_chat.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/opinion_lexicon.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/panlex_lite.py compile 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compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/senseval.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/sentiwordnet.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/sinica_treebank.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/string_category.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/switchboard.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/tagged.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/timit.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/corpus/reader/toolbox.py compile 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compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tbl/feature.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tbl/rule.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tbl/template.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/casual.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/destructive.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/legality_principle.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/mwe.py compile 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/usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/texttiling.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/toktok.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/treebank.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tokenize/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/bleu_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/chrf_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/gale_church.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/gdfa.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/gleu_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm1.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm2.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm3.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm4.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm5.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ibm_model.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/meteor_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/metrics.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/nist_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/phrase_based.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/ribes_score.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/translate/stack_decoder.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/immutable.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/parented.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/parsing.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/prettyprinter.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/probabilistic.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/transforms.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tree/tree.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/common.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/twitter_demo.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/twitterclient.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/twitter/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/book.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cli.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/collections.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/collocations.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/compat.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/data.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/decorators.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/downloader.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/featstruct.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/grammar.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/help.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/internals.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/jsontags.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/langnames.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/lazyimport.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/probability.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/text.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/tgrep.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/toolbox.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/treeprettyprinter.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/treetransforms.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/wsd.py Bytecompiling python3 modules with optimization-2 in /usr/src/tmp/python3-module-nltk-buildroot using /usr/bin/python3 -OO compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/chartparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/chunkparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/collocations_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/concordance_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/nemo_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/rdparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/srparser_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/wordfreq_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/app/wordnet_app.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/chart.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/combinator.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/lexicon.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/ccg/logic.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/eliza.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/iesha.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/rude.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/suntsu.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chat/zen.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chunk/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chunk/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chunk/named_entity.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chunk/regexp.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/chunk/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/decisiontree.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/maxent.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/megam.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/naivebayes.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/positivenaivebayes.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/rte_classify.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/scikitlearn.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/senna.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/svm.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/tadm.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/textcat.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/util.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/classify/weka.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/__init__.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/api.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/em.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/gaac.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/kmeans.py compile /usr/src/tmp/python3-module-nltk-buildroot/usr/lib/python3/site-packages/nltk/cluster/util.py compile 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'./usr/lib/python3/site-packages/nltk/twitter/__pycache__/twitterclient.cpython-312.pyc' './usr/lib/python3/site-packages/nltk/twitter/__pycache__/util.cpython-312.opt-1.pyc' => './usr/lib/python3/site-packages/nltk/twitter/__pycache__/util.cpython-312.pyc' Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.81503 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd python3-module-nltk-3.8.1 + patch -p1 patching file nltk/data.py Hunk #1 succeeded at 35 (offset -6 lines). + export 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + CFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + export 'CXXFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + CXXFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + export 'FFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + FFLAGS='-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' + export NO_INTERNET=YES + NO_INTERNET=YES + /usr/bin/python3 -m pyproject_installer run -- python3 -m pytest -vra nltk --ignore nltk/test/unit/test_downloader.py INFO : Creating venv INFO : Installing console scripts INFO : Installing package: /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist/nltk-3.8.1-py3-none-any.whl INFO : Running command: ['/usr/src/RPM/BUILD/python3-module-nltk-3.8.1/.run_venv/bin/python3', '-m', 'pyproject_installer', 'install', '/usr/src/RPM/BUILD/python3-module-nltk-3.8.1/dist/nltk-3.8.1-py3-none-any.whl'] INFO : Running command: ['python3', '-m', 'pytest', '-vra', 'nltk', '--ignore', 'nltk/test/unit/test_downloader.py'] ============================= test session starts ============================== platform linux -- Python 3.12.1, pytest-7.4.3, pluggy-1.3.0 -- /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/.run_venv/bin/python3 cachedir: .pytest_cache hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/usr/src/RPM/BUILD/python3-module-nltk-3.8.1/.hypothesis/examples') rootdir: /usr/src/RPM/BUILD/python3-module-nltk-3.8.1 plugins: mock-3.11.1, hypothesis-6.82.3 collecting ... collected 425 items / 4 skipped nltk/test/unit/test_aline.py::test_aline PASSED [ 0%] nltk/test/unit/test_aline.py::test_aline_delta PASSED [ 0%] nltk/test/unit/test_bllip.py::TestBllipParser::test_parser_loads_a_valid_tree SKIPPED [ 0%] nltk/test/unit/test_bllip.py::TestBllipParser::test_tagged_parse_finds_matching_element SKIPPED [ 0%] nltk/test/unit/test_brill.py::TestBrill::test_brill_demo SKIPPED (Sh...) 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[ 1%] nltk/test/unit/test_cfd_mutation.py::TestEmptyCondFreq::test_increment SKIPPED [ 1%] nltk/test/unit/test_cfd_mutation.py::TestEmptyCondFreq::test_plot PASSED [ 1%] nltk/test/unit/test_cfd_mutation.py::TestEmptyCondFreq::test_tabulate PASSED [ 2%] nltk/test/unit/test_cfg2chomsky.py::ChomskyNormalFormForCFGTest::test_complex SKIPPED [ 2%] nltk/test/unit/test_cfg2chomsky.py::ChomskyNormalFormForCFGTest::test_simple PASSED [ 2%] nltk/test/unit/test_chunk.py::TestChunkRule::test_tag_pattern2re_pattern_quantifier PASSED [ 2%] nltk/test/unit/test_classify.py::test_megam SKIPPED () [ 3%] nltk/test/unit/test_classify.py::test_tadm SKIPPED () [ 3%] nltk/test/unit/test_collocations.py::test_bigram2 PASSED [ 3%] nltk/test/unit/test_collocations.py::test_bigram3 PASSED [ 3%] nltk/test/unit/test_collocations.py::test_bigram5 PASSED [ 4%] nltk/test/unit/test_concordance.py::TestConcordance::test_concordance_lines SKIPPED [ 4%] nltk/test/unit/test_concordance.py::TestConcordance::test_concordance_list SKIPPED [ 4%] nltk/test/unit/test_concordance.py::TestConcordance::test_concordance_print SKIPPED [ 4%] nltk/test/unit/test_concordance.py::TestConcordance::test_concordance_width SKIPPED [ 4%] nltk/test/unit/test_corenlp.py::TestTokenizerAPI::test_tokenize SKIPPED [ 5%] nltk/test/unit/test_corenlp.py::TestTaggerAPI::test_ner_tagger SKIPPED [ 5%] nltk/test/unit/test_corenlp.py::TestTaggerAPI::test_pos_tagger SKIPPED [ 5%] nltk/test/unit/test_corenlp.py::TestTaggerAPI::test_unexpected_tagtype SKIPPED [ 5%] nltk/test/unit/test_corenlp.py::TestParserAPI::test_dependency_parser SKIPPED [ 6%] nltk/test/unit/test_corenlp.py::TestParserAPI::test_parse SKIPPED (C...) [ 6%] nltk/test/unit/test_corpus_views.py::TestCorpusViews::test_correct_length SKIPPED [ 6%] nltk/test/unit/test_corpus_views.py::TestCorpusViews::test_correct_values SKIPPED [ 6%] nltk/test/unit/test_data.py::test_find_raises_exception SKIPPED (Req...) [ 7%] nltk/test/unit/test_data.py::test_find_raises_exception_with_full_resource_name SKIPPED [ 7%] nltk/test/unit/test_disagreement.py::TestDisagreement::test_advanced PASSED [ 7%] nltk/test/unit/test_disagreement.py::TestDisagreement::test_advanced2 PASSED [ 7%] nltk/test/unit/test_disagreement.py::TestDisagreement::test_easy PASSED [ 8%] nltk/test/unit/test_disagreement.py::TestDisagreement::test_easy2 PASSED [ 8%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[abc-ca-1-expecteds0] PASSED [ 8%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[abc-ca-5-expecteds1] PASSED [ 8%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[wants-wasp-1-expecteds2] PASSED [ 8%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[wants-wasp-5-expecteds3] PASSED [ 9%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[rain-shine-1-expecteds4] PASSED [ 9%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[rain-shine-2-expecteds5] PASSED [ 9%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[acbdef-abcdef-1-expecteds6] PASSED [ 9%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[acbdef-abcdef-2-expecteds7] PASSED [ 10%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lnaguaeg-language-1-expecteds8] PASSED [ 10%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lnaguaeg-language-2-expecteds9] PASSED [ 10%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lnaugage-language-1-expecteds10] PASSED [ 10%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lnaugage-language-2-expecteds11] PASSED [ 11%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lngauage-language-1-expecteds12] PASSED [ 11%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[lngauage-language-2-expecteds13] PASSED [ 11%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[wants-swim-1-expecteds14] PASSED [ 11%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[wants-swim-2-expecteds15] PASSED [ 12%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[kitten-sitting-1-expecteds16] PASSED [ 12%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[kitten-sitting-2-expecteds17] PASSED [ 12%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[duplicated-duuplicated-1-expecteds18] PASSED [ 12%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[duplicated-duuplicated-2-expecteds19] PASSED [ 12%] nltk/test/unit/test_distance.py::TestEditDistance::test_with_transpositions[very duplicated-very duuplicateed-2-expecteds20] PASSED [ 13%] nltk/test/unit/test_freqdist.py::test_iterating_returns_an_iterator_ordered_by_frequency PASSED [ 13%] nltk/test/unit/test_hmm.py::test_forward_probability PASSED [ 13%] nltk/test/unit/test_hmm.py::test_forward_probability2 PASSED [ 13%] nltk/test/unit/test_hmm.py::test_backward_probability PASSED [ 14%] nltk/test/unit/test_json2csv_corpus.py::test_textoutput SKIPPED (Req...) [ 14%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_metadata SKIPPED [ 14%] nltk/test/unit/test_json2csv_corpus.py::test_user_metadata SKIPPED (...) [ 14%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_hashtag SKIPPED (...) [ 15%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_usermention SKIPPED [ 15%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_media SKIPPED (Re...) [ 15%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_url SKIPPED (Requ...) [ 15%] nltk/test/unit/test_json2csv_corpus.py::test_userurl SKIPPED (Requir...) [ 16%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_place SKIPPED (Re...) [ 16%] nltk/test/unit/test_json2csv_corpus.py::test_tweet_place_boundingbox SKIPPED [ 16%] nltk/test/unit/test_json2csv_corpus.py::test_retweet_original_tweet SKIPPED [ 16%] nltk/test/unit/test_json2csv_corpus.py::test_file_is_wrong SKIPPED (...) [ 16%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_affix_tagger SKIPPED [ 17%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_brill_tagger SKIPPED [ 17%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_default_tagger SKIPPED [ 17%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_ngram_taggers SKIPPED [ 17%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_perceptron_tagger SKIPPED [ 18%] nltk/test/unit/test_json_serialization.py::TestJSONSerialization::test_regexp_tagger SKIPPED [ 18%] nltk/test/unit/test_metrics.py::TestLikelihoodRatio::test_lr_bigram PASSED [ 18%] nltk/test/unit/test_metrics.py::TestLikelihoodRatio::test_lr_quadgram PASSED [ 18%] nltk/test/unit/test_metrics.py::TestLikelihoodRatio::test_lr_trigram PASSED [ 19%] nltk/test/unit/test_naivebayes.py::NaiveBayesClassifierTest::test_simple PASSED [ 19%] nltk/test/unit/test_pl196x.py::TestCorpusViews::test_corpus_reader SKIPPED [ 19%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_pos_tag_eng SKIPPED [ 19%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_pos_tag_eng_universal SKIPPED [ 20%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_pos_tag_rus SKIPPED [ 20%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_pos_tag_rus_universal SKIPPED [ 20%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_pos_tag_unknown_lang SKIPPED [ 20%] nltk/test/unit/test_pos_tag.py::TestPosTag::test_unspecified_lang SKIPPED [ 20%] nltk/test/unit/test_ribes.py::test_ribes_empty_worder PASSED [ 21%] nltk/test/unit/test_ribes.py::test_ribes_one_worder PASSED [ 21%] nltk/test/unit/test_ribes.py::test_ribes_two_worder PASSED [ 21%] nltk/test/unit/test_ribes.py::test_ribes PASSED [ 21%] nltk/test/unit/test_ribes.py::test_no_zero_div PASSED [ 22%] nltk/test/unit/test_rte_classify.py::TestRTEClassifier::test_rte_feature_extraction SKIPPED [ 22%] nltk/test/unit/test_rte_classify.py::TestRTEClassifier::test_feature_extractor_object SKIPPED [ 22%] nltk/test/unit/test_rte_classify.py::TestRTEClassifier::test_rte_classification_without_megam SKIPPED [ 22%] nltk/test/unit/test_rte_classify.py::TestRTEClassifier::test_rte_classification_with_megam SKIPPED [ 23%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader[\n This is a test file.\n It is fairly short.\n ] PASSED [ 23%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader[This file can be encoded with latin1. \x83] PASSED [ 23%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader[ This is a test file.\n Here's a blank line:\n\n And here's some unicode: \xee \u0123 \uffe3\n ] PASSED [ 23%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader[ This is a test file.\n Unicode characters: \xf3 \u2222 \u3333\u4444 \u5555\n ] PASSED [ 24%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader[ This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n This is a larger file. It has some lines that are longer than 72 characters. It's got lots of repetition. Here's some unicode chars: \xee \u0123 \uffe3 \ueeee \u2345\n\n How fun! Let's repeat it twenty times.\n ] PASSED [ 24%] nltk/test/unit/test_seekable_unicode_stream_reader.py::test_reader_stream_closes_when_deleted PASSED [ 24%] nltk/test/unit/test_senna.py::TestSennaPipeline::test_senna_pipeline SKIPPED [ 24%] nltk/test/unit/test_senna.py::TestSennaTagger::test_senna_chunk_tagger SKIPPED [ 24%] nltk/test/unit/test_senna.py::TestSennaTagger::test_senna_ner_tagger SKIPPED [ 25%] nltk/test/unit/test_senna.py::TestSennaTagger::test_senna_tagger SKIPPED [ 25%] nltk/test/unit/test_stem.py::SnowballTest::test_arabic SKIPPED (Requ...) [ 25%] nltk/test/unit/test_stem.py::SnowballTest::test_german SKIPPED (Requ...) [ 25%] nltk/test/unit/test_stem.py::SnowballTest::test_russian PASSED [ 26%] nltk/test/unit/test_stem.py::SnowballTest::test_short_strings_bug PASSED [ 26%] nltk/test/unit/test_stem.py::SnowballTest::test_spanish PASSED [ 26%] nltk/test/unit/test_stem.py::PorterTest::test_lowercase_option PASSED [ 26%] nltk/test/unit/test_stem.py::PorterTest::test_oed_bug PASSED [ 27%] nltk/test/unit/test_stem.py::PorterTest::test_vocabulary_martin_mode SKIPPED [ 27%] nltk/test/unit/test_stem.py::PorterTest::test_vocabulary_nltk_mode SKIPPED [ 27%] nltk/test/unit/test_stem.py::PorterTest::test_vocabulary_original_mode SKIPPED [ 27%] nltk/test/unit/test_tag.py::test_basic SKIPPED (Requires NLTK data f...) [ 28%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_bad_operator PASSED [ 28%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_comments PASSED [ 28%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_examples PASSED [ 28%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_labeled_nodes PASSED [ 28%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_multiple_conjs PASSED [ 29%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_encoding PASSED [ 29%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_nocase PASSED [ 29%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_noleaves PASSED [ 29%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_printing PASSED [ 30%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_quoted PASSED [ 30%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_regex PASSED [ 30%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_regex_2 PASSED [ 30%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_simple PASSED [ 31%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_node_tree_position PASSED [ 31%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_rel_precedence PASSED [ 31%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_rel_sister_nodes PASSED [ 31%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_encoding PASSED [ 32%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_examples PASSED [ 32%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_link_types PASSED [ 32%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_macros PASSED [ 32%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_node_labels PASSED [ 32%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_nodenames PASSED [ 33%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_quoting PASSED [ 33%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_segmented_patterns PASSED [ 33%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_tokenize_simple PASSED [ 33%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_trailing_semicolon PASSED [ 34%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::test_use_macros PASSED [ 34%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::tests_rel_dominance PASSED [ 34%] nltk/test/unit/test_tgrep.py::TestSequenceFunctions::tests_rel_indexed_children PASSED [ 34%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer PASSED [ 35%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My text 0106404243030 is great text-expecteds0] PASSED [ 35%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My ticket id is 1234543124123-expecteds1] PASSED [ 35%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[@remy: This is waaaaayyyy too much for you!!!!!! 01064042430-expecteds2] PASSED [ 35%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My number is 06-46124080, except it's not.-expecteds3] PASSED [ 36%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My number is 601-984-4813, except it's not.-expecteds4] PASSED [ 36%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My number is (393) 928 -3010, except it's not.-expecteds5] PASSED [ 36%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[The product identification number is 48103284512.-expecteds6] PASSED [ 36%] nltk/test/unit/test_tokenize.py::TestTokenize::test_tweet_tokenizer_expanded[My favourite substraction is 240 - 1353.-expecteds7] PASSED [ 36%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sonority_sequencing_syllable_tokenizer PASSED [ 37%] nltk/test/unit/test_tokenize.py::TestTokenize::test_syllable_tokenizer_numbers PASSED [ 37%] nltk/test/unit/test_tokenize.py::TestTokenize::test_legality_principle_syllable_tokenizer SKIPPED [ 37%] nltk/test/unit/test_tokenize.py::TestTokenize::test_stanford_segmenter_arabic SKIPPED [ 37%] nltk/test/unit/test_tokenize.py::TestTokenize::test_stanford_segmenter_chinese SKIPPED [ 38%] nltk/test/unit/test_tokenize.py::TestTokenize::test_phone_tokenizer PASSED [ 38%] nltk/test/unit/test_tokenize.py::TestTokenize::test_emoji_tokenizer PASSED [ 38%] nltk/test/unit/test_tokenize.py::TestTokenize::test_pad_asterisk SKIPPED [ 38%] nltk/test/unit/test_tokenize.py::TestTokenize::test_pad_dotdot SKIPPED [ 39%] nltk/test/unit/test_tokenize.py::TestTokenize::test_remove_handle PASSED [ 39%] nltk/test/unit/test_tokenize.py::TestTokenize::test_treebank_span_tokenizer PASSED [ 39%] nltk/test/unit/test_tokenize.py::TestTokenize::test_word_tokenize SKIPPED [ 39%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_pair_iter PASSED [ 40%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_pair_iter_handles_stop_iteration_exception PASSED [ 40%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_tokenize_words_handles_stop_iteration_exception PASSED [ 40%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_tokenize_custom_lang_vars PASSED [ 40%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_tokenize_no_custom_lang_vars PASSED [ 40%] nltk/test/unit/test_tokenize.py::TestTokenize::test_punkt_debug_decisions_custom_end PASSED [ 41%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[this is a test. . new sentence.-expected0] SKIPPED [ 41%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This. . . That-expected1] SKIPPED [ 41%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This..... That-expected2] SKIPPED [ 41%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This... That-expected3] SKIPPED [ 42%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This.. . That-expected4] SKIPPED [ 42%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This. .. That-expected5] SKIPPED [ 42%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This. ,. That-expected6] SKIPPED [ 42%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This!!! That-expected7] SKIPPED [ 43%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[This! That-expected8] SKIPPED [ 43%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[1. This is R .\n2. This is A .\n3. That's all-expected9] SKIPPED [ 43%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[1. This is R .\t2. This is A .\t3. That's all-expected10] SKIPPED [ 43%] nltk/test/unit/test_tokenize.py::TestTokenize::test_sent_tokenize[Hello.\tThere-expected11] SKIPPED [ 44%] nltk/test/unit/test_util.py::test_everygrams_without_padding PASSED [ 44%] nltk/test/unit/test_util.py::test_everygrams_max_len PASSED [ 44%] nltk/test/unit/test_util.py::test_everygrams_min_len PASSED [ 44%] nltk/test/unit/test_util.py::test_everygrams_pad_right PASSED [ 44%] nltk/test/unit/test_util.py::test_everygrams_pad_left PASSED [ 45%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_N PASSED [ 45%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_counter_len_changes_with_lookup PASSED [ 45%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_ngram_order_access_unigrams PASSED [ 45%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_ngram_conditional_freqdist PASSED [ 46%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_bigram_counts_seen_ngrams PASSED [ 46%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_bigram_counts_unseen_ngrams PASSED [ 46%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_unigram_counts_seen_words PASSED [ 46%] nltk/test/unit/lm/test_counter.py::TestNgramCounter::test_unigram_counts_completely_unseen_words PASSED [ 47%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_empty_inputs[] PASSED [ 47%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_empty_inputs[case1] PASSED [ 47%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_empty_inputs[None] PASSED [ 47%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_train_on_unigrams PASSED [ 48%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_train_on_illegal_sentences PASSED [ 48%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_train_on_bigrams PASSED [ 48%] nltk/test/unit/lm/test_counter.py::TestNgramCounterTraining::test_train_on_mix PASSED [ 48%] nltk/test/unit/lm/test_models.py::test_mle_bigram_scores[d-context0-1] PASSED [ 48%] nltk/test/unit/lm/test_models.py::test_mle_bigram_scores[d-context1-0] PASSED [ 49%] nltk/test/unit/lm/test_models.py::test_mle_bigram_scores[z-None-0] PASSED [ 49%] nltk/test/unit/lm/test_models.py::test_mle_bigram_scores[a-None-0.14285714285714285] PASSED [ 49%] nltk/test/unit/lm/test_models.py::test_mle_bigram_scores[y-None-0.21428571428571427] PASSED [ 49%] nltk/test/unit/lm/test_models.py::test_mle_bigram_logscore_for_zero_score PASSED [ 50%] nltk/test/unit/lm/test_models.py::test_mle_bigram_entropy_perplexity_seen PASSED [ 50%] nltk/test/unit/lm/test_models.py::test_mle_bigram_entropy_perplexity_unseen PASSED [ 50%] nltk/test/unit/lm/test_models.py::test_mle_bigram_entropy_perplexity_unigrams PASSED [ 50%] nltk/test/unit/lm/test_models.py::test_mle_trigram_scores[d-context0-1] PASSED [ 51%] nltk/test/unit/lm/test_models.py::test_mle_trigram_scores[d-context1-1] PASSED [ 51%] nltk/test/unit/lm/test_models.py::test_mle_trigram_scores[a-None-0.1111111111111111] PASSED [ 51%] nltk/test/unit/lm/test_models.py::test_mle_trigram_scores[z-None-0] PASSED [ 51%] nltk/test/unit/lm/test_models.py::test_mle_trigram_scores[y-None-0.16666666666666666] PASSED [ 52%] nltk/test/unit/lm/test_models.py::test_lidstone_bigram_score[d-context0-0.6111111111111112] PASSED [ 52%] nltk/test/unit/lm/test_models.py::test_lidstone_bigram_score[a-None-0.14189189189189189] PASSED [ 52%] nltk/test/unit/lm/test_models.py::test_lidstone_bigram_score[z-None-0.006756756756756757] PASSED [ 52%] nltk/test/unit/lm/test_models.py::test_lidstone_bigram_score[y-None-0.20945945945945946] PASSED [ 52%] nltk/test/unit/lm/test_models.py::test_lidstone_entropy_perplexity PASSED [ 53%] nltk/test/unit/lm/test_models.py::test_lidstone_trigram_score[d-context0-0.6111111111111112] PASSED [ 53%] nltk/test/unit/lm/test_models.py::test_lidstone_trigram_score[e-context1-0.05555555555555556] PASSED [ 53%] nltk/test/unit/lm/test_models.py::test_lidstone_trigram_score[d-context2-0.6111111111111112] PASSED [ 53%] nltk/test/unit/lm/test_models.py::test_lidstone_trigram_score[e-context3-0.05555555555555556] PASSED [ 54%] nltk/test/unit/lm/test_models.py::test_laplace_bigram_score[d-context0-0.2222222222222222] PASSED [ 54%] nltk/test/unit/lm/test_models.py::test_laplace_bigram_score[a-None-0.13636363636363635] PASSED [ 54%] nltk/test/unit/lm/test_models.py::test_laplace_bigram_score[z-None-0.045454545454545456] PASSED [ 54%] nltk/test/unit/lm/test_models.py::test_laplace_bigram_score[y-None-0.18181818181818182] PASSED [ 55%] nltk/test/unit/lm/test_models.py::test_laplace_bigram_entropy_perplexity PASSED [ 55%] nltk/test/unit/lm/test_models.py::test_laplace_gamma PASSED [ 55%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[c-None-0.05555555555555555] PASSED [ 55%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[z-None-0.0] PASSED [ 56%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[y-None-0.16666666666666666] PASSED [ 56%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[c-context3-0.2777777777777778] PASSED [ 56%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[c-context4-0.6388888888888888] PASSED [ 56%] nltk/test/unit/lm/test_models.py::test_wittenbell_trigram_score[c-context5-0.2777777777777778] PASSED [ 56%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[c-None-0.07142857142857142] PASSED [ 57%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[z-None-0.0] PASSED [ 57%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[y-None-0.21428571428571427] PASSED [ 57%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[c-context3-0.17857142857142858] PASSED [ 57%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[c-context4-0.3839285714285714] PASSED [ 58%] nltk/test/unit/lm/test_models.py::test_kneserney_trigram_score[c-context5-0.17857142857142858] PASSED [ 58%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[c-None-0.05555555555555555] PASSED [ 58%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[z-None-0.0] PASSED [ 58%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[y-None-0.16666666666666666] PASSED [ 59%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[c-context3-0.16666666666666666] PASSED [ 59%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[c-context4-0.375] PASSED [ 59%] nltk/test/unit/lm/test_models.py::test_absolute_discounting_trigram_score[c-context5-0.16666666666666666] PASSED [ 59%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[c-None-0.05555555555555555] PASSED [ 60%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[z-None-0.0] PASSED [ 60%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[y-None-0.16666666666666666] PASSED [ 60%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[c-context3-0.5] PASSED [ 60%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[c-context4-1.0] PASSED [ 60%] nltk/test/unit/lm/test_models.py::test_stupid_backoff_trigram_score[c-context5-0.2] PASSED [ 61%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-mle_bigram_model] PASSED [ 61%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-mle_trigram_model] PASSED [ 61%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-lidstone_bigram_model] PASSED [ 61%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-laplace_bigram_model] PASSED [ 62%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-wittenbell_trigram_model] PASSED [ 62%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-absolute_discounting_trigram_model] PASSED [ 62%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-kneserney_bigram_model] PASSED [ 62%] nltk/test/unit/lm/test_models.py::test_sums_to_1[a-stupid_backoff_trigram_model] XFAIL [ 63%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-mle_bigram_model] PASSED [ 63%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-mle_trigram_model] PASSED [ 63%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-lidstone_bigram_model] PASSED [ 63%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-laplace_bigram_model] PASSED [ 64%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-wittenbell_trigram_model] PASSED [ 64%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-absolute_discounting_trigram_model] PASSED [ 64%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-kneserney_bigram_model] PASSED [ 64%] nltk/test/unit/lm/test_models.py::test_sums_to_1[c-stupid_backoff_trigram_model] XFAIL [ 64%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-mle_bigram_model] PASSED [ 65%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-mle_trigram_model] PASSED [ 65%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-lidstone_bigram_model] PASSED [ 65%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-laplace_bigram_model] PASSED [ 65%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-wittenbell_trigram_model] PASSED [ 66%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-absolute_discounting_trigram_model] PASSED [ 66%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-kneserney_bigram_model] PASSED [ 66%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-stupid_backoff_trigram_model] XFAIL [ 66%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-mle_bigram_model] PASSED [ 67%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-mle_trigram_model] PASSED [ 67%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-lidstone_bigram_model] PASSED [ 67%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-laplace_bigram_model] PASSED [ 67%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-wittenbell_trigram_model] PASSED [ 68%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-absolute_discounting_trigram_model] PASSED [ 68%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-kneserney_bigram_model] PASSED [ 68%] nltk/test/unit/lm/test_models.py::test_sums_to_1[b-stupid_backoff_trigram_model] XFAIL [ 68%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-mle_bigram_model] PASSED [ 68%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-mle_trigram_model] PASSED [ 69%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-lidstone_bigram_model] PASSED [ 69%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-laplace_bigram_model] PASSED [ 69%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-wittenbell_trigram_model] PASSED [ 69%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-absolute_discounting_trigram_model] PASSED [ 70%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-kneserney_bigram_model] PASSED [ 70%] nltk/test/unit/lm/test_models.py::test_sums_to_1[-stupid_backoff_trigram_model] XFAIL [ 70%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-mle_bigram_model] PASSED [ 70%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-mle_trigram_model] PASSED [ 71%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-lidstone_bigram_model] PASSED [ 71%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-laplace_bigram_model] PASSED [ 71%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-wittenbell_trigram_model] PASSED [ 71%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-absolute_discounting_trigram_model] PASSED [ 72%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-kneserney_bigram_model] PASSED [ 72%] nltk/test/unit/lm/test_models.py::test_sums_to_1[d-stupid_backoff_trigram_model] XFAIL [ 72%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-mle_bigram_model] PASSED [ 72%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-mle_trigram_model] PASSED [ 72%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-lidstone_bigram_model] PASSED [ 73%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-laplace_bigram_model] PASSED [ 73%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-wittenbell_trigram_model] PASSED [ 73%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-absolute_discounting_trigram_model] PASSED [ 73%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-kneserney_bigram_model] PASSED [ 74%] nltk/test/unit/lm/test_models.py::test_sums_to_1[e-stupid_backoff_trigram_model] XFAIL [ 74%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-mle_bigram_model] PASSED [ 74%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-mle_trigram_model] PASSED [ 74%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-lidstone_bigram_model] PASSED [ 75%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-laplace_bigram_model] PASSED [ 75%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-wittenbell_trigram_model] PASSED [ 75%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-absolute_discounting_trigram_model] PASSED [ 75%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-kneserney_bigram_model] PASSED [ 76%] nltk/test/unit/lm/test_models.py::test_sums_to_1[r-stupid_backoff_trigram_model] XFAIL [ 76%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-mle_bigram_model] PASSED [ 76%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-mle_trigram_model] PASSED [ 76%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-lidstone_bigram_model] PASSED [ 76%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-laplace_bigram_model] PASSED [ 77%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-wittenbell_trigram_model] PASSED [ 77%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-absolute_discounting_trigram_model] PASSED [ 77%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-kneserney_bigram_model] PASSED [ 77%] nltk/test/unit/lm/test_models.py::test_sums_to_1[w-stupid_backoff_trigram_model] XFAIL [ 78%] nltk/test/unit/lm/test_models.py::test_generate_one_no_context PASSED [ 78%] nltk/test/unit/lm/test_models.py::test_generate_one_from_limiting_context PASSED [ 78%] nltk/test/unit/lm/test_models.py::test_generate_one_from_varied_context PASSED [ 78%] nltk/test/unit/lm/test_models.py::test_generate_cycle PASSED [ 79%] nltk/test/unit/lm/test_models.py::test_generate_with_text_seed PASSED [ 79%] nltk/test/unit/lm/test_models.py::test_generate_oov_text_seed PASSED [ 79%] nltk/test/unit/lm/test_models.py::test_generate_None_text_seed PASSED [ 79%] nltk/test/unit/lm/test_preprocessing.py::TestPreprocessing::test_padded_everygram_pipeline PASSED [ 80%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_counts_set_correctly PASSED [ 80%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_creation_with_counter PASSED [ 80%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_cutoff_setter_checks_value PASSED [ 80%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_cutoff_value_set_correctly PASSED [ 80%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_eqality PASSED [ 81%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_len_is_constant SKIPPED [ 81%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup PASSED [ 81%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_None PASSED [ 81%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_empty_iterables PASSED [ 82%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_empty_str PASSED [ 82%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_int PASSED [ 82%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_iterables PASSED [ 82%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_lookup_recursive PASSED [ 83%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_membership_check_respects_cutoff PASSED [ 83%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_str PASSED [ 83%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_truthiness PASSED [ 83%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_unable_to_change_cutoff PASSED [ 84%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_update_empty_vocab PASSED [ 84%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_vocab_iter_respects_cutoff PASSED [ 84%] nltk/test/unit/lm/test_vocabulary.py::NgramModelVocabularyTests::test_vocab_len_respects_cutoff PASSED [ 84%] nltk/test/unit/translate/test_bleu.py::TestBLEU::test_brevity_penalty PASSED [ 84%] nltk/test/unit/translate/test_bleu.py::TestBLEU::test_full_matches FAILED [ 85%] nltk/test/unit/translate/test_bleu.py::TestBLEU::test_modified_precision FAILED [ 85%] 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nltk/test/unit/translate/test_stack_decoder.py::TestStack::test_push_removes_hypotheses_that_fall_below_beam_threshold PASSED [100%] =================================== FAILURES =================================== __________________________ TestBLEU.test_full_matches __________________________ self = def test_full_matches(self): # Test case where there's 100% matches references = ["John loves Mary".split()] hypothesis = "John loves Mary".split() # Test BLEU to nth order of n-grams, where n is len(hypothesis). for n in range(1, len(hypothesis)): weights = (1.0 / n,) * n # Uniform weights. > assert sentence_bleu(references, hypothesis, weights) == 1.0 nltk/test/unit/translate/test_bleu.py:134: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['John', 'loves', 'Mary']], hypothesis = ['John', 'loves', 'Mary'] n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError _______________________ TestBLEU.test_modified_precision _______________________ self = def test_modified_precision(self): """ Examples from the original BLEU paper https://www.aclweb.org/anthology/P02-1040.pdf """ # Example 1: the "the*" example. # Reference sentences. ref1 = "the cat is on the mat".split() ref2 = "there is a cat on the mat".split() # Hypothesis sentence(s). hyp1 = "the the the the the the the".split() references = [ref1, ref2] # Testing modified unigram precision. > hyp1_unigram_precision = float(modified_precision(references, hyp1, n=1)) nltk/test/unit/translate/test_bleu.py:35: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['the', 'cat', 'is', 'on', 'the', 'mat'], ['there', 'is', 'a', 'cat', 'on', 'the', ...]] hypothesis = ['the', 'the', 'the', 'the', 'the', 'the', ...], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ________ TestBLEU.test_partial_matches_hypothesis_longer_than_reference ________ self = def test_partial_matches_hypothesis_longer_than_reference(self): references = ["John loves Mary".split()] hypothesis = "John loves Mary who loves Mike".split() # Since no 4-grams matches were found the result should be zero # exp(w_1 * 1 * w_2 * 1 * w_3 * 1 * w_4 * -inf) = 0 > self.assertAlmostEqual(sentence_bleu(references, hypothesis), 0.0, places=4) nltk/test/unit/translate/test_bleu.py:141: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['John', 'loves', 'Mary']] hypothesis = ['John', 'loves', 'Mary', 'who', 'loves', 'Mike'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError __________________________ TestBLEU.test_zero_matches __________________________ self = def test_zero_matches(self): # Test case where there's 0 matches references = ["The candidate has no alignment to any of the references".split()] hypothesis = "John loves Mary".split() # Test BLEU to nth order of n-grams, where n is len(hypothesis). for n in range(1, len(hypothesis)): weights = (1.0 / n,) * n # Uniform weights. > assert sentence_bleu(references, hypothesis, weights) == 0 nltk/test/unit/translate/test_bleu.py:124: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['The', 'candidate', 'has', 'no', 'alignment', 'to', ...]] hypothesis = ['John', 'loves', 'Mary'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ____ TestBLEUFringeCases.test_case_where_n_is_bigger_than_hypothesis_length ____ self = def test_case_where_n_is_bigger_than_hypothesis_length(self): # Test BLEU to nth order of n-grams, where n > len(hypothesis). references = ["John loves Mary ?".split()] hypothesis = "John loves Mary".split() n = len(hypothesis) + 1 # weights = (1.0 / n,) * n # Uniform weights. # Since no n-grams matches were found the result should be zero # exp(w_1 * 1 * w_2 * 1 * w_3 * 1 * w_4 * -inf) = 0 self.assertAlmostEqual( > sentence_bleu(references, hypothesis, weights), 0.0, places=4 ) nltk/test/unit/translate/test_bleu.py:160: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['John', 'loves', 'Mary', '?']] hypothesis = ['John', 'loves', 'Mary'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError __________________ TestBLEUFringeCases.test_empty_hypothesis ___________________ self = def test_empty_hypothesis(self): # Test case where there's hypothesis is empty. references = ["The candidate has no alignment to any of the references".split()] hypothesis = [] > assert sentence_bleu(references, hypothesis) == 0 nltk/test/unit/translate/test_bleu.py:182: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['The', 'candidate', 'has', 'no', 'alignment', 'to', ...]] hypothesis = [], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError __________________ TestBLEUFringeCases.test_empty_references ___________________ self = def test_empty_references(self): # Test case where there's reference is empty. references = [[]] hypothesis = "John loves Mary".split() > assert sentence_bleu(references, hypothesis) == 0 nltk/test/unit/translate/test_bleu.py:198: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [[]], hypothesis = ['John', 'loves', 'Mary'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ___________ TestBLEUFringeCases.test_empty_references_and_hypothesis ___________ self = def test_empty_references_and_hypothesis(self): # Test case where both references and hypothesis is empty. references = [[]] hypothesis = [] > assert sentence_bleu(references, hypothesis) == 0 nltk/test/unit/translate/test_bleu.py:204: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [[]], hypothesis = [], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ________________ TestBLEUFringeCases.test_length_one_hypothesis ________________ self = def test_length_one_hypothesis(self): # Test case where there's hypothesis is of length 1 in Smoothing method 4. references = ["The candidate has no alignment to any of the references".split()] hypothesis = ["Foo"] method4 = SmoothingFunction().method4 try: > sentence_bleu(references, hypothesis, smoothing_function=method4) nltk/test/unit/translate/test_bleu.py:190: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['The', 'candidate', 'has', 'no', 'alignment', 'to', ...]] hypothesis = ['Foo'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ___ TestBLEUFringeCases.test_reference_or_hypothesis_shorter_than_fourgrams ____ self = def test_reference_or_hypothesis_shorter_than_fourgrams(self): # Test case where the length of reference or hypothesis # is shorter than 4. references = ["let it go".split()] hypothesis = "let go it".split() # Checks that the value the hypothesis and reference returns is 0.0 # exp(w_1 * 1 * w_2 * 1 * w_3 * 1 * w_4 * -inf) = 0 > self.assertAlmostEqual(sentence_bleu(references, hypothesis), 0.0, places=4) nltk/test/unit/translate/test_bleu.py:213: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:107: in sentence_bleu return corpus_bleu( nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['let', 'it', 'go']], hypothesis = ['let', 'go', 'it'], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError __________ TestBLEUWithBadSentence.test_corpus_bleu_with_bad_sentence __________ self = def test_corpus_bleu_with_bad_sentence(self): hyp = "Teo S yb , oe uNb , R , T t , , t Tue Ar saln S , , 5istsi l , 5oe R ulO sae oR R" ref = str( "Their tasks include changing a pump on the faulty stokehold ." "Likewise , two species that are very similar in morphology " "were distinguished using genetics ." ) references = [[ref.split()]] hypotheses = [hyp.split()] try: # Check that the warning is raised since no. of 2-grams < 0. with self.assertWarns(UserWarning): # Verify that the BLEU output is undesired since no. of 2-grams < 0. self.assertAlmostEqual( > corpus_bleu(references, hypotheses), 0.0, places=4 ) nltk/test/unit/translate/test_bleu.py:278: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['Their', 'tasks', 'include', 'changing', 'a', 'pump', ...]] hypothesis = ['Teo', 'S', 'yb', ',', 'oe', 'uNb', ...], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError ______ TestBLEUWithMultipleWeights.test_corpus_bleu_with_multiple_weights ______ self = def test_corpus_bleu_with_multiple_weights(self): hyp1 = [ "It", "is", "a", "guide", "to", "action", "which", "ensures", "that", "the", "military", "always", "obeys", "the", "commands", "of", "the", "party", ] ref1a = [ "It", "is", "a", "guide", "to", "action", "that", "ensures", "that", "the", "military", "will", "forever", "heed", "Party", "commands", ] ref1b = [ "It", "is", "the", "guiding", "principle", "which", "guarantees", "the", "military", "forces", "always", "being", "under", "the", "command", "of", "the", "Party", ] ref1c = [ "It", "is", "the", "practical", "guide", "for", "the", "army", "always", "to", "heed", "the", "directions", "of", "the", "party", ] hyp2 = [ "he", "read", "the", "book", "because", "he", "was", "interested", "in", "world", "history", ] ref2a = [ "he", "was", "interested", "in", "world", "history", "because", "he", "read", "the", "book", ] weight_1 = (1, 0, 0, 0) weight_2 = (0.25, 0.25, 0.25, 0.25) weight_3 = (0, 0, 0, 0, 1) > bleu_scores = corpus_bleu( list_of_references=[[ref1a, ref1b, ref1c], [ref2a]], hypotheses=[hyp1, hyp2], weights=[weight_1, weight_2, weight_3], ) nltk/test/unit/translate/test_bleu.py:392: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nltk/translate/bleu_score.py:210: in corpus_bleu p_i = modified_precision(references, hypothesis, i) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ references = [['It', 'is', 'a', 'guide', 'to', 'action', ...], ['It', 'is', 'the', 'guiding', 'principle', 'which', ...], ['It', 'is', 'the', 'practical', 'guide', 'for', ...]] hypothesis = ['It', 'is', 'a', 'guide', 'to', 'action', ...], n = 1 def modified_precision(references, hypothesis, n): """ Calculate modified ngram precision. The normal precision method may lead to some wrong translations with high-precision, e.g., the translation, in which a word of reference repeats several times, has very high precision. This function only returns the Fraction object that contains the numerator and denominator necessary to calculate the corpus-level precision. To calculate the modified precision for a single pair of hypothesis and references, cast the Fraction object into a float. The famous "the the the ... " example shows that you can get BLEU precision by duplicating high frequency words. >>> reference1 = 'the cat is on the mat'.split() >>> reference2 = 'there is a cat on the mat'.split() >>> hypothesis1 = 'the the the the the the the'.split() >>> references = [reference1, reference2] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.2857... In the modified n-gram precision, a reference word will be considered exhausted after a matching hypothesis word is identified, e.g. >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> hypothesis = 'of the'.split() >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis, n=1)) 1.0 >>> float(modified_precision(references, hypothesis, n=2)) 1.0 An example of a normal machine translation hypothesis: >>> hypothesis1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'which', ... 'ensures', 'that', 'the', 'military', 'always', ... 'obeys', 'the', 'commands', 'of', 'the', 'party'] >>> hypothesis2 = ['It', 'is', 'to', 'insure', 'the', 'troops', ... 'forever', 'hearing', 'the', 'activity', 'guidebook', ... 'that', 'party', 'direct'] >>> reference1 = ['It', 'is', 'a', 'guide', 'to', 'action', 'that', ... 'ensures', 'that', 'the', 'military', 'will', ... 'forever', 'heed', 'Party', 'commands'] >>> reference2 = ['It', 'is', 'the', 'guiding', 'principle', 'which', ... 'guarantees', 'the', 'military', 'forces', 'always', ... 'being', 'under', 'the', 'command', 'of', 'the', ... 'Party'] >>> reference3 = ['It', 'is', 'the', 'practical', 'guide', 'for', 'the', ... 'army', 'always', 'to', 'heed', 'the', 'directions', ... 'of', 'the', 'party'] >>> references = [reference1, reference2, reference3] >>> float(modified_precision(references, hypothesis1, n=1)) # doctest: +ELLIPSIS 0.9444... >>> float(modified_precision(references, hypothesis2, n=1)) # doctest: +ELLIPSIS 0.5714... >>> float(modified_precision(references, hypothesis1, n=2)) # doctest: +ELLIPSIS 0.5882352941176471 >>> float(modified_precision(references, hypothesis2, n=2)) # doctest: +ELLIPSIS 0.07692... :param references: A list of reference translations. :type references: list(list(str)) :param hypothesis: A hypothesis translation. :type hypothesis: list(str) :param n: The ngram order. :type n: int :return: BLEU's modified precision for the nth order ngram. :rtype: Fraction """ # Extracts all ngrams in hypothesis # Set an empty Counter if hypothesis is empty. counts = Counter(ngrams(hypothesis, n)) if len(hypothesis) >= n else Counter() # Extract a union of references' counts. # max_counts = reduce(or_, [Counter(ngrams(ref, n)) for ref in references]) max_counts = {} for reference in references: reference_counts = ( Counter(ngrams(reference, n)) if len(reference) >= n else Counter() ) for ngram in counts: max_counts[ngram] = max(max_counts.get(ngram, 0), reference_counts[ngram]) # Assigns the intersection between hypothesis and references' counts. clipped_counts = { ngram: min(count, max_counts[ngram]) for ngram, count in counts.items() } numerator = sum(clipped_counts.values()) # Ensures that denominator is minimum 1 to avoid ZeroDivisionError. # Usually this happens when the ngram order is > len(reference). denominator = max(1, sum(counts.values())) > return Fraction(numerator, denominator, _normalize=False) E TypeError: Fraction.__new__() got an unexpected keyword argument '_normalize' nltk/translate/bleu_score.py:368: TypeError =============================== warnings summary =============================== nltk/twitter/__init__.py:20 /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/nltk/twitter/__init__.py:20: UserWarning: The twython library has not been installed. Some functionality from the twitter package will not be available. warnings.warn( nltk/test/unit/test_tokenize.py:23 /usr/src/RPM/BUILD/python3-module-nltk-3.8.1/nltk/test/unit/test_tokenize.py:23: DeprecationWarning: The StanfordTokenizer will be deprecated in version 3.2.5. Please use nltk.parse.corenlp.CoreNLPTokenizer instead.' seg = StanfordSegmenter() nltk/test/unit/test_aline.py::test_aline /usr/lib/python3/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC). EPOCH = datetime.datetime.utcfromtimestamp(0) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ SKIPPED [51] nltk/data.py:586: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_twitter_auth.py:9: could not import 'twython': No module named 'twython' SKIPPED [2] nltk/test/unit/test_bllip.py:15: could not import 'bllipparser': No module named 'bllipparser' SKIPPED [1] nltk/test/unit/test_brill.py:32: Should be tested in __main__ of nltk.tbl.demo SKIPPED [1] nltk/test/unit/test_classify.py:36: =========================================================================== NLTK was unable to find the megam file! Use software specific configuration parameters or set the MEGAM environment variable. For more information on megam, see: =========================================================================== SKIPPED [1] nltk/test/unit/test_classify.py:36: =========================================================================== NLTK was unable to find the tadm file! Use software specific configuration parameters or set the TADM environment variable. For more information on tadm, see: =========================================================================== SKIPPED [1] nltk/test/unit/test_concordance.py:73: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_concordance.py:51: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_concordance.py:77: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_concordance.py:55: Requires NLTK data from internet SKIPPED [6] nltk/test/unit/test_corenlp.py:20: Could not instantiate CoreNLPServer. SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:39: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:46: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:66: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:75: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:89: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:103: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:118: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:133: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:148: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:163: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:178: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_json2csv_corpus.py:203: Requires NLTK data from internet SKIPPED [1] nltk/test/unit/test_rte_classify.py:93: Skipping tests with dependencies on MEGAM SKIPPED [1] nltk/test/unit/test_senna.py:24: Requires Senna executable SKIPPED [1] nltk/test/unit/test_senna.py:64: Requires Senna executable SKIPPED [1] nltk/test/unit/test_senna.py:88: Requires Senna executable SKIPPED [1] nltk/test/unit/test_senna.py:48: Requires Senna executable SKIPPED [1] nltk/test/unit/test_tokenize.py:293: NLTK was unable to find stanford-segmenter.jar. SKIPPED [1] nltk/test/unit/test_tokenize.py:317: NLTK was unable to find stanford-segmenter.jar. SKIPPED [1] nltk/test/unit/lm/test_vocabulary.py:141: Test is known to be flaky as it compares (runtime) performance. XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[a-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[c-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[b-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[d-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[e-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[r-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution XFAIL nltk/test/unit/lm/test_models.py::test_sums_to_1[w-stupid_backoff_trigram_model] - Stupid Backoff is not a valid distribution FAILED nltk/test/unit/translate/test_bleu.py::TestBLEU::test_full_matches - T... FAILED nltk/test/unit/translate/test_bleu.py::TestBLEU::test_modified_precision FAILED nltk/test/unit/translate/test_bleu.py::TestBLEU::test_partial_matches_hypothesis_longer_than_reference FAILED nltk/test/unit/translate/test_bleu.py::TestBLEU::test_zero_matches - T... FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_case_where_n_is_bigger_than_hypothesis_length FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_empty_hypothesis FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_empty_references FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_empty_references_and_hypothesis FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_length_one_hypothesis FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUFringeCases::test_reference_or_hypothesis_shorter_than_fourgrams FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUWithBadSentence::test_corpus_bleu_with_bad_sentence FAILED nltk/test/unit/translate/test_bleu.py::TestBLEUWithMultipleWeights::test_corpus_bleu_with_multiple_weights ====== 12 failed, 321 passed, 87 skipped, 9 xfailed, 3 warnings in 2.90s ======= INFO : Command's result: FAILURE INFO : Command's error: Command '['python3', '-m', 'pytest', '-vra', 'nltk', '--ignore', 'nltk/test/unit/test_downloader.py']' returned non-zero exit status 1. error: Bad exit status from /usr/src/tmp/rpm-tmp.81503 (%check) RPM build errors: Bad exit status from /usr/src/tmp/rpm-tmp.81503 (%check) Command exited with non-zero status 1 7.84user 1.58system 0:09.13elapsed 103%CPU (0avgtext+0avgdata 139612maxresident)k 0inputs+0outputs (0major+271791minor)pagefaults 0swaps hsh-rebuild: rebuild of `python3-module-nltk-3.8.1-alt1.src.rpm' failed. Command exited with non-zero status 1 6.68user 2.51system 0:39.85elapsed 23%CPU (0avgtext+0avgdata 124892maxresident)k 20048inputs+0outputs (0major+461604minor)pagefaults 0swaps