<86>Oct 29 06:14:15 userdel[456169]: delete user 'rooter' <86>Oct 29 06:14:15 userdel[456169]: removed group 'rooter' owned by 'rooter' <86>Oct 29 06:14:15 userdel[456169]: removed shadow group 'rooter' owned by 'rooter' <86>Oct 29 06:14:15 groupadd[456226]: group added to /etc/group: name=rooter, GID=993 <86>Oct 29 06:14:15 groupadd[456226]: group added to /etc/gshadow: name=rooter <86>Oct 29 06:14:15 groupadd[456226]: new group: name=rooter, GID=993 <86>Oct 29 06:14:15 useradd[456257]: new user: name=rooter, UID=993, GID=993, home=/root, shell=/bin/bash <86>Oct 29 06:14:15 userdel[456316]: delete user 'builder' <86>Oct 29 06:14:15 userdel[456316]: removed group 'builder' owned by 'builder' <86>Oct 29 06:14:15 userdel[456316]: removed shadow group 'builder' owned by 'builder' <86>Oct 29 06:14:15 groupadd[456346]: group added to /etc/group: name=builder, GID=994 <86>Oct 29 06:14:15 groupadd[456346]: group added to /etc/gshadow: name=builder <86>Oct 29 06:14:15 groupadd[456346]: new group: name=builder, GID=994 <86>Oct 29 06:14:15 useradd[456365]: new user: name=builder, UID=994, GID=994, home=/usr/src, shell=/bin/bash <13>Oct 29 06:14:16 rpmi: libruby-3.1.1-alt1 sisyphus+296703.142.105.2 1663319887 installed <13>Oct 29 06:14:16 rpmi: libp11-kit-0.24.1-alt1 sisyphus+293720.100.1.1 1642535281 installed <13>Oct 29 06:14:16 rpmi: libtasn1-4.19.0-alt1 sisyphus+305700.100.1.1 1661359628 installed <13>Oct 29 06:14:16 rpmi: libgdbm-1.8.3-alt10 sisyphus+278100.1600.1.1 1626059138 installed <13>Oct 29 06:14:16 rpmi: libyaml2-0.2.5-alt1 sisyphus+278391.100.1.1 1626094932 installed <13>Oct 29 06:14:16 rpmi: rpm-macros-alternatives-0.5.2-alt1 sisyphus+300869.100.1.1 1653844113 installed <13>Oct 29 06:14:16 rpmi: alternatives-0.5.2-alt1 sisyphus+300869.100.1.1 1653844113 installed <13>Oct 29 06:14:16 rpmi: ca-certificates-2022.09.15-alt1 sisyphus+306895.200.1.1 1663268411 installed <13>Oct 29 06:14:16 rpmi: ca-trust-0.1.4-alt1 sisyphus+308690.100.1.1 1666182992 installed <13>Oct 29 06:14:16 rpmi: p11-kit-trust-0.24.1-alt1 sisyphus+293720.100.1.1 1642535281 installed <13>Oct 29 06:14:17 rpmi: libcrypto1.1-1.1.1q-alt1 sisyphus+303203.100.1.1 1657027052 installed <13>Oct 29 06:14:17 rpmi: libssl1.1-1.1.1q-alt1 sisyphus+303203.100.1.1 1657027052 installed <13>Oct 29 06:14:17 rpmi: gem-2:3.1.6-alt1.5 sisyphus+296703.142.105.2 1663319757 installed <13>Oct 29 06:14:17 rpmi: gem-minitest-5.15.0-alt1 sisyphus+293712.300.9.1 1646119914 installed <13>Oct 29 06:14:17 rpmi: gem-net-telnet-0.2.0.1-alt0.1 sisyphus+238996.14500.5.1 1630597117 installed <13>Oct 29 06:14:17 rpmi: gem-power-assert-2.0.1-alt1 sisyphus+296637.272.56.4 1654656448 installed <13>Oct 29 06:14:17 rpmi: gem-rake-13.0.6-alt1 sisyphus+296637.11240.56.4 1654660010 installed <13>Oct 29 06:14:17 rpmi: gem-test-unit-3.5.3-alt1 sisyphus+296703.16.105.2 1663319196 installed <13>Oct 29 06:14:17 rpmi: gem-webrick-1.7.0-alt1 sisyphus+264413.200.1.1 1610122897 installed <13>Oct 29 06:14:17 rpmi: gem-xmlrpc-0.3.2-alt1.1 sisyphus+296703.16100.105.2 1663323187 installed <13>Oct 29 06:14:17 rpmi: ri-6.4.0.1-alt1 sisyphus+296703.306.105.2 1663320293 installed <13>Oct 29 06:14:17 rpmi: gem-rdoc-6.4.0.1-alt1 sisyphus+296703.306.105.2 1663320293 installed <13>Oct 29 06:14:17 rpmi: rdoc-6.4.0.1-alt1 sisyphus+296703.306.105.2 1663320293 installed <13>Oct 29 06:14:17 rpmi: rake-13.0.6-alt1 sisyphus+296637.11240.56.4 1654660010 installed <13>Oct 29 06:14:17 rpmi: erb-3.1.1-alt1 sisyphus+296703.142.105.2 1663319757 installed <13>Oct 29 06:14:17 rpmi: irb-3.1.1-alt1 sisyphus+296703.142.105.2 1663319757 installed <13>Oct 29 06:14:17 rpmi: bundle-2.2.19-alt1 sisyphus+263530.240.88.5 1629542341 installed <13>Oct 29 06:14:18 rpmi: gem-bundler-2.2.19-alt1 sisyphus+263530.240.88.5 1629542341 installed <13>Oct 29 06:14:18 rpmi: ruby-3.1.1-alt1 sisyphus+296703.142.105.2 1663319887 installed <13>Oct 29 06:14:18 rpmi: ruby-stdlibs-3.1.1-alt1 sisyphus+296703.142.105.2 1663319887 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm (w1.gzdio) Installing auto-nng-1.7-alt2_3.1.src.rpm Building target platforms: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.93504 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + rm -rf auto-nng.v1.7 + echo 'Source #0 (auto-nng.v1.7.tar.gz):' Source #0 (auto-nng.v1.7.tar.gz): + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + /bin/tar -xf - + cd auto-nng.v1.7 + /bin/chmod -c -Rf u+rwX,go-w . + echo 'Patch #0 (auto-nng-cflags.patch):' Patch #0 (auto-nng-cflags.patch): + /usr/bin/patch -p1 -b --suffix .cflags patching file Makefile + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.93504 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make -j16 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -flto=auto -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.22258 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + /bin/chmod -Rf u+rwX -- /usr/src/tmp/auto-nng-buildroot + : + /bin/rm -rf -- /usr/src/tmp/auto-nng-buildroot + PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games + cd auto-nng.v1.7 + mkdir -p /usr/src/tmp/auto-nng-buildroot//usr/bin/ + install auto-nng /usr/src/tmp/auto-nng-buildroot//usr/bin/ + /usr/lib/rpm/brp-alt Cleaning files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying and fixing files in /usr/src/tmp/auto-nng-buildroot (binconfig,pkgconfig,libtool,desktop,gnuconfig) Checking contents of files in /usr/src/tmp/auto-nng-buildroot/ (default) Compressing files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying ELF objects in /usr/src/tmp/auto-nng-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal) verify-elf: WARNING: ./usr/bin/auto-nng: uses non-LFS functions: fopen Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.22258 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make test make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' ruby auto-nng-test.rb ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Training error: 0.995212 / Test error: 0.996258 / Layer sizes: 10 3 1 Training error: 0.987561 / Test error: 0.991397 / Layer sizes: 10 10 1 Training error: 0.962951 / Test error: 0.975694 / Layer sizes: 10 3 1 Training error: 0.963603 / Test error: 0.973369 / Layer sizes: 10 10 10 1 Training error: 0.961315 / Test error: 0.971728 / Layer sizes: 10 9 4 1 Training error: 0.936588 / Test error: 0.962468 / Layer sizes: 10 3 1 Training error: 0.901238 / Test error: 0.936882 / Layer sizes: 10 10 1 Training error: 0.862463 / Test error: 0.934181 / Layer sizes: 10 1 Training error: 0.902805 / Test error: 0.933844 / Layer sizes: 10 10 10 1 Training error: 0.901635 / Test error: 0.932463 / Layer sizes: 10 10 10 1 Training error: 0.825437 / Test error: 0.897924 / Layer sizes: 10 1 Training error: 0.824311 / Test error: 0.889568 / Layer sizes: 10 1 Training error: 0.811083 / Test error: 0.859050 / Layer sizes: 10 1 Training error: 0.811858 / Test error: 0.857433 / Layer sizes: 10 7 1 Training error: 0.811594 / Test error: 0.849037 / Layer sizes: 10 7 1 Training error: 0.809007 / Test error: 0.848365 / Layer sizes: 10 7 1 Training error: 0.693194 / Test error: 0.836462 / Layer sizes: 10 1 Training error: 0.690208 / Test error: 0.813932 / Layer sizes: 10 1 Training error: 0.673532 / Test error: 0.809334 / Layer sizes: 10 1 Training error: 0.671542 / Test error: 0.806843 / Layer sizes: 10 1 Training error: 0.667622 / Test error: 0.802805 / Layer sizes: 10 1 Training error: 0.646430 / Test error: 0.766438 / Layer sizes: 10 1 Training error: 0.630570 / Test error: 0.750852 / Layer sizes: 10 1 Training error: 0.602691 / Test error: 0.713987 / Layer sizes: 10 1 Training error: 0.581951 / Test error: 0.689136 / Layer sizes: 10 1 Training error: 0.580590 / Test error: 0.682237 / Layer sizes: 10 1 Training error: 0.573119 / Test error: 0.659795 / Layer sizes: 10 1 Training error: 0.571466 / Test error: 0.642561 / Layer sizes: 10 1 Training error: 0.564052 / Test error: 0.620272 / Layer sizes: 10 1 Training error: 0.561066 / Test error: 0.611774 / Layer sizes: 10 1 Training error: 0.554394 / Test error: 0.597326 / Layer sizes: 10 1 Training error: 0.543560 / Test error: 0.587292 / Layer sizes: 10 1 Training error: 0.541124 / Test error: 0.585286 / Layer sizes: 10 1 Training error: 0.529675 / Test error: 0.577857 / Layer sizes: 10 1 Training error: 0.527356 / Test error: 0.571748 / Layer sizes: 10 1 Training error: 0.514138 / Test error: 0.557895 / Layer sizes: 10 1 Training error: 0.499208 / Test error: 0.543782 / Layer sizes: 10 1 Training error: 0.481455 / Test error: 0.540427 / Layer sizes: 10 1 Training error: 0.473774 / Test error: 0.527882 / Layer sizes: 10 1 Training error: 0.471648 / Test error: 0.526918 / Layer sizes: 10 1 Training error: 0.507003 / Test error: 0.522626 / Layer sizes: 10 7 1 Training error: 0.464638 / Test error: 0.513623 / Layer sizes: 10 1 Training error: 0.463219 / Test error: 0.501112 / Layer sizes: 10 1 Training error: 0.460690 / Test error: 0.492455 / Layer sizes: 10 1 Training error: 0.459334 / Test error: 0.482450 / Layer sizes: 10 1 Training error: 0.458803 / Test error: 0.468151 / Layer sizes: 10 1 Training error: 0.457862 / Test error: 0.454286 / Layer sizes: 10 1 Training error: 0.455777 / Test error: 0.453398 / Layer sizes: 10 1 Training error: 0.454830 / Test error: 0.444141 / Layer sizes: 10 1 Training error: 0.444531 / Test error: 0.427492 / Layer sizes: 10 1 Training error: 0.443127 / Test error: 0.427403 / Layer sizes: 10 1 Training error: 0.420303 / Test error: 0.414167 / Layer sizes: 10 7 1 Training error: 0.418268 / Test error: 0.407131 / Layer sizes: 10 7 1 Training error: 0.368030 / Test error: 0.393307 / Layer sizes: 10 7 1 Training error: 0.366117 / Test error: 0.393201 / Layer sizes: 10 7 1 Training error: 0.364214 / Test error: 0.387008 / Layer sizes: 10 7 1 Training error: 0.353566 / Test error: 0.380554 / Layer sizes: 10 7 1 Training error: 0.351653 / Test error: 0.370844 / Layer sizes: 10 7 1 Training error: 0.325941 / Test error: 0.370824 / Layer sizes: 10 7 1 Training error: 0.321946 / Test error: 0.364606 / Layer sizes: 10 7 1 Training error: 0.318631 / Test error: 0.354882 / Layer sizes: 10 7 1 Training error: 0.294971 / Test error: 0.348997 / Layer sizes: 10 7 1 Training error: 0.294384 / Test error: 0.324195 / Layer sizes: 10 7 1 Training error: 0.286603 / Test error: 0.323824 / Layer sizes: 10 7 1 Training error: 0.286552 / Test error: 0.315311 / Layer sizes: 10 7 1 Training error: 0.282877 / Test error: 0.312657 / Layer sizes: 10 7 1 Training error: 0.281659 / Test error: 0.311721 / Layer sizes: 10 7 1 Training error: 0.247262 / Test error: 0.305779 / Layer sizes: 10 9 4 1 Training error: 0.262767 / Test error: 0.299446 / Layer sizes: 10 7 1 Training error: 0.229342 / Test error: 0.286848 / Layer sizes: 10 9 4 1 Training error: 0.229163 / Test error: 0.286610 / Layer sizes: 10 9 4 1 Training error: 0.218130 / Test error: 0.269525 / Layer sizes: 10 9 4 1 Training error: 0.211920 / Test error: 0.267627 / Layer sizes: 10 9 4 1 Training error: 0.209737 / Test error: 0.266130 / Layer sizes: 10 9 4 1 Training error: 0.206863 / Test error: 0.256257 / Layer sizes: 10 9 4 1 Training error: 0.206371 / Test error: 0.245279 / Layer sizes: 10 9 4 1 Training error: 0.185167 / Test error: 0.243823 / Layer sizes: 10 9 4 1 Training error: 0.174432 / Test error: 0.243716 / Layer sizes: 10 9 4 1 Training error: 0.189861 / Test error: 0.240592 / Layer sizes: 10 7 1 Training error: 0.189714 / Test error: 0.233139 / Layer sizes: 10 7 1 Training error: 0.187871 / Test error: 0.221275 / Layer sizes: 10 7 1 Training error: 0.187052 / Test error: 0.217701 / Layer sizes: 10 7 1 Training error: 0.097538 / Test error: 0.215221 / Layer sizes: 10 9 4 1 Training error: 0.097457 / Test error: 0.205188 / Layer sizes: 10 9 4 1 Training error: 0.082874 / Test error: 0.203965 / Layer sizes: 10 9 4 1 Training error: 0.123044 / Test error: 0.202324 / Layer sizes: 10 3 1 Training error: 0.146972 / Test error: 0.202165 / Layer sizes: 10 7 1 Training error: 0.142306 / Test error: 0.197189 / Layer sizes: 10 7 1 Training error: 0.142140 / Test error: 0.196657 / Layer sizes: 10 7 1 Training error: 0.106834 / Test error: 0.196311 / Layer sizes: 10 3 1 Training error: 0.105974 / Test error: 0.195436 / Layer sizes: 10 3 1 Training error: 0.105334 / Test error: 0.187399 / Layer sizes: 10 3 1 Training error: 0.104082 / Test error: 0.178979 / Layer sizes: 10 3 1 Training error: 0.103424 / Test error: 0.178566 / Layer sizes: 10 3 1 Training error: 0.103349 / Test error: 0.164791 / Layer sizes: 10 3 1 Training error: 0.099193 / Test error: 0.156683 / Layer sizes: 10 3 1 Training error: 0.097944 / Test error: 0.155709 / Layer sizes: 10 3 1 Training error: 0.094074 / Test error: 0.150751 / Layer sizes: 10 3 1 Training error: 0.028253 / Test error: 0.140960 / Layer sizes: 10 9 4 1 Training error: 0.027927 / Test error: 0.138980 / Layer sizes: 10 9 4 1 Training error: 0.026624 / Test error: 0.136102 / Layer sizes: 10 9 4 1 Training error: 0.026405 / Test error: 0.132099 / Layer sizes: 10 9 4 1 Training error: 0.024980 / Test error: 0.127936 / Layer sizes: 10 9 4 1 Training error: 0.024968 / Test error: 0.105457 / Layer sizes: 10 9 4 1 Training error: 0.021817 / Test error: 0.104010 / Layer sizes: 10 9 4 1 Training error: 0.021058 / Test error: 0.094114 / Layer sizes: 10 9 4 1 Training error: 0.020449 / Test error: 0.086405 / Layer sizes: 10 9 4 1 Training error: 0.020355 / Test error: 0.084897 / Layer sizes: 10 9 4 1 Training error: 0.019602 / Test error: 0.081839 / Layer sizes: 10 9 4 1 Training error: 0.018196 / Test error: 0.081815 / Layer sizes: 10 9 4 1 Training error: 0.017553 / Test error: 0.079192 / Layer sizes: 10 9 4 1 Training error: 0.017480 / Test error: 0.077414 / Layer sizes: 10 9 4 1 Training error: 0.008379 / Test error: 0.076438 / Layer sizes: 10 3 1 Training error: 0.008280 / Test error: 0.065351 / Layer sizes: 10 3 1 Training error: 0.002481 / Test error: 0.061223 / Layer sizes: 10 10 10 1 Training error: 0.006154 / Test error: 0.053619 / Layer sizes: 10 3 1 Training error: 0.005722 / Test error: 0.047696 / Layer sizes: 10 3 1 Training error: 0.003727 / Test error: 0.044488 / Layer sizes: 10 3 1 Training error: 0.003676 / Test error: 0.043571 / Layer sizes: 10 3 1 Training error: 0.003446 / Test error: 0.041636 / Layer sizes: 10 3 1 Training error: 0.003346 / Test error: 0.041166 / Layer sizes: 10 3 1 Training error: 0.003245 / Test error: 0.038543 / Layer sizes: 10 3 1 Training error: 0.003039 / Test error: 0.017179 / Layer sizes: 10 3 1 Training error: 0.003006 / Test error: 0.015985 / Layer sizes: 10 3 1 Training error: 0.002970 / Test error: 0.006197 / Layer sizes: 10 3 1 Training error: 0.001523 / Test error: 0.003781 / Layer sizes: 10 3 1 Training error: 0.000723 / Test error: 0.001874 / Layer sizes: 10 3 1 Training error: 0.000715 / Test error: 0.000935 / Layer sizes: 10 3 1 Training error: 0.000710 / Test error: 0.000761 / Layer sizes: 10 3 1 Training error: 0.000708 / Test error: 0.000729 / Layer sizes: 10 3 1 Training error: 0.000305 / Test error: 0.000387 / Layer sizes: 10 3 1 Training error: 0.000297 / Test error: 0.000315 / Layer sizes: 10 3 1 Training error: 0.000292 / Test error: 0.000294 / Layer sizes: 10 3 1 Training error: 0.000276 / Test error: 0.000271 / Layer sizes: 10 3 1 Training error: 0.000276 / Test error: 0.000261 / Layer sizes: 10 3 1 Training error: 0.000276 / Test error: 0.000250 / Layer sizes: 10 3 1 Training error: 0.000198 / Test error: 0.000249 / Layer sizes: 10 3 1 Training error: 0.000198 / Test error: 0.000220 / Layer sizes: 10 3 1 Training error: 0.000186 / Test error: 0.000215 / Layer sizes: 10 3 1 Training error: 0.000036 / Test error: 0.000099 / Layer sizes: 10 3 1 Training error: 0.000036 / Test error: 0.000044 / Layer sizes: 10 3 1 Training error: 0.000036 / Test error: 0.000044 / Layer sizes: 10 3 1 Training error: 0.000021 / Test error: 0.000026 / Layer sizes: 10 3 1 Training error: 0.000021 / Test error: 0.000023 / Layer sizes: 10 3 1 Training error: 0.000021 / Test error: 0.000022 / Layer sizes: 10 3 1 Training error: 0.000017 / Test error: 0.000020 / Layer sizes: 10 3 1 Training error: 0.000017 / Test error: 0.000018 / Layer sizes: 10 3 1 Training error: 0.000017 / Test error: 0.000018 / Layer sizes: 10 3 1 Training error: 0.000017 / Test error: 0.000017 / Layer sizes: 10 3 1 Training error: 0.000017 / Test error: 0.000017 / Layer sizes: 10 3 1 Training error: 0.000016 / Test error: 0.000016 / Layer sizes: 10 3 1 Training error: 0.000016 / Test error: 0.000016 / Layer sizes: 10 3 1 Training error: 0.000016 / Test error: 0.000016 / Layer sizes: 10 3 1 Training error: 0.000016 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000016 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000015 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000015 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000014 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000014 / Test error: 0.000014 / Layer sizes: 10 3 1 Training error: 0.000014 / Test error: 0.000014 / Layer sizes: 10 3 1 Training error: 0.000013 / Test error: 0.000014 / Layer sizes: 10 3 1 Training error: 0.000011 / Test error: 0.000014 / Layer sizes: 10 3 1 Training error: 0.000011 / Test error: 0.000013 / Layer sizes: 10 3 1 Training error: 0.000009 / Test error: 0.000011 / Layer sizes: 10 3 1 Training error: 0.000009 / Test error: 0.000011 / Layer sizes: 10 3 1 Training error: 0.000009 / Test error: 0.000010 / Layer sizes: 10 3 1 Training error: 0.000009 / Test error: 0.000010 / Layer sizes: 10 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000008 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000008 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000006 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000006 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000006 / Test error: 0.000007 / Layer sizes: 10 3 1 Training error: 0.000006 / Test error: 0.000006 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Finishing... ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Loading neuronal network from file "test.network.nn". Network loaded, processing data. 92.21 % correct. 7.79 % wrong. Limit: 17.31 %. Test passed. make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Processing files: auto-nng-1.7-alt2_3.1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.74013 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + DOCDIR=/usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + export DOCDIR + rm -rf /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + /bin/mkdir -p /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + cp -prL LICENSE README /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R go-w /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R a+rX /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.c73eDe find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,python3,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.xqVq8V find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks,systemd-services) Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.1.3), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.34), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), libm.so.6(GLIBC_2.29), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.yehVyp Creating auto-nng-debuginfo package Processing files: auto-nng-debuginfo-1.7-alt2_3.1 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.jTnHlI find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.NcYXwY find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib/ld-linux.so.2.debug, debug(libc.so.6), debug(libm.so.6) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-1.7-alt2_3.1.i586.rpm (w2.lzdio) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm (w2.lzdio) 90.38user 1.23system 1:36.24elapsed 95%CPU (0avgtext+0avgdata 35124maxresident)k 0inputs+0outputs (0major+149564minor)pagefaults 0swaps 1.72user 1.46system 1:43.29elapsed 3%CPU (0avgtext+0avgdata 106484maxresident)k 0inputs+0outputs (31490major+182041minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.i586.rpm.hasher 2022-10-29 06:15:56.840745879 +0000 @@ -7,3 +7,5 @@ Requires: libc.so.6(GLIBC_2.1) +Requires: libc.so.6(GLIBC_2.1.3) Requires: libc.so.6(GLIBC_2.3.4) +Requires: libc.so.6(GLIBC_2.34) Requires: libc.so.6(GLIBC_2.4) @@ -11,2 +13,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH) @@ -14,3 +17,3 @@ Provides: auto-nng = 1.7-alt2_3.1 -File: /usr/bin/auto-nng 100755 root:root 4391a3b7dd05e08c7501a2baa88b57f2 +File: /usr/bin/auto-nng 100755 root:root de2664afd5f259e795042a2318261458 File: /usr/share/doc/auto-nng-1.7 40755 root:root @@ -18,2 +21,2 @@ File: /usr/share/doc/auto-nng-1.7/README 100644 root:root e16c65b7a5b167df0faa0e9f86d5c4d4 -RPMIdentity: 3e253336110fab0373d057fb81c80306898919a65a722312acb9301b55dbee3b7c21550b0636865cf16851d022b643af55f4c403b0c09403e2f839d7492011e3 +RPMIdentity: 8077b3d51321879d5fc84c1496fe0cb2150e76ab8cfacc3489bc53a31d2c390147777a1a72cfef5bd91242141a755cdef52be058f140c5b5be8ca3248d7a0e1c --- auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm.hasher 2022-10-29 06:15:56.935747722 +0000 @@ -1,4 +1,4 @@ -/usr/lib/debug/.build-id/12 40755 root:root -/usr/lib/debug/.build-id/12/96f2e126ce8dd8a5389d8a4826615836328855 120777 root:root ../../../../bin/auto-nng -/usr/lib/debug/.build-id/12/96f2e126ce8dd8a5389d8a4826615836328855.debug 120777 root:root ../../usr/bin/auto-nng.debug +/usr/lib/debug/.build-id/db 40755 root:root +/usr/lib/debug/.build-id/db/818defc47cbdfa769f197e75124d1061e6c8fc 120777 root:root ../../../../bin/auto-nng +/usr/lib/debug/.build-id/db/818defc47cbdfa769f197e75124d1061e6c8fc.debug 120777 root:root ../../usr/bin/auto-nng.debug /usr/lib/debug/usr/bin/auto-nng.debug 100644 root:root @@ -12,8 +12,8 @@ Provides: auto-nng-debuginfo = 1.7-alt2_3.1 -File: /usr/lib/debug/.build-id/12 40755 root:root -File: /usr/lib/debug/.build-id/12/96f2e126ce8dd8a5389d8a4826615836328855 120777 root:root ../../../../bin/auto-nng -File: /usr/lib/debug/.build-id/12/96f2e126ce8dd8a5389d8a4826615836328855.debug 120777 root:root ../../usr/bin/auto-nng.debug -File: /usr/lib/debug/usr/bin/auto-nng.debug 100644 root:root d44b59d4e62d74b28ab02299c5161ad9 +File: /usr/lib/debug/.build-id/db 40755 root:root +File: /usr/lib/debug/.build-id/db/818defc47cbdfa769f197e75124d1061e6c8fc 120777 root:root ../../../../bin/auto-nng +File: /usr/lib/debug/.build-id/db/818defc47cbdfa769f197e75124d1061e6c8fc.debug 120777 root:root ../../usr/bin/auto-nng.debug +File: /usr/lib/debug/usr/bin/auto-nng.debug 100644 root:root 76fecd516e5355120aeb78d6f58455b4 File: /usr/src/debug/auto-nng.v1.7 40755 root:root File: /usr/src/debug/auto-nng.v1.7/auto-nng.c 100644 root:root 9205b13c3f76701a725c12e32fb98140 -RPMIdentity: 6278f62e9864356e81eec8e1836081f7f8010ff7934586c19ca39904209cb581f2136dbbbe58937a3705bac55e3594552e57ff3842c58a916139cd305c4fb3d9 +RPMIdentity: dc87ba9a0623d28ba28e10a995afbb656548d78278269ef5a2107cfa50f9c1d0f8c4708a425ce5095312a4ec022d8eae00d549c56ad65b124b9ac3d186fc444f