<86>Dec 4 04:51:52 userdel[484928]: delete user 'rooter' <86>Dec 4 04:51:52 userdel[484928]: removed group 'rooter' owned by 'rooter' <86>Dec 4 04:51:52 userdel[484928]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 4 04:51:52 groupadd[484951]: group added to /etc/group: name=rooter, GID=951 <86>Dec 4 04:51:52 groupadd[484951]: group added to /etc/gshadow: name=rooter <86>Dec 4 04:51:52 groupadd[484951]: new group: name=rooter, GID=951 <86>Dec 4 04:51:52 useradd[484967]: new user: name=rooter, UID=951, GID=951, home=/root, shell=/bin/bash <86>Dec 4 04:51:52 userdel[484994]: delete user 'builder' <86>Dec 4 04:51:52 userdel[484994]: removed group 'builder' owned by 'builder' <86>Dec 4 04:51:52 userdel[484994]: removed shadow group 'builder' owned by 'builder' <86>Dec 4 04:51:52 groupadd[485021]: group added to /etc/group: name=builder, GID=952 <86>Dec 4 04:51:52 groupadd[485021]: group added to /etc/gshadow: name=builder <86>Dec 4 04:51:52 groupadd[485021]: new group: name=builder, GID=952 <86>Dec 4 04:51:52 useradd[485036]: new user: name=builder, UID=952, GID=952, home=/usr/src, shell=/bin/bash <13>Dec 4 04:51:53 rpmi: libruby-2.7.4-alt2.2 sisyphus+252865.77.13.1 1633608237 installed <13>Dec 4 04:51:53 rpmi: libp11-kit-0.23.15-alt2 sisyphus+287552.300.2.1 1634541487 installed <13>Dec 4 04:51:53 rpmi: libtasn1-4.17.0-alt2 sisyphus+285706.100.1.1 1632328570 installed <13>Dec 4 04:51:53 rpmi: libgdbm-1.8.3-alt10 sisyphus+278100.1600.1.1 1626059138 installed <13>Dec 4 04:51:53 rpmi: libyaml2-0.2.5-alt1 sisyphus+278391.100.1.1 1626094932 installed <13>Dec 4 04:51:53 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+278157.100.2.1 1626055790 installed <13>Dec 4 04:51:53 rpmi: alternatives-0.5.1-alt1 sisyphus+278157.100.2.1 1626055790 installed <13>Dec 4 04:51:53 rpmi: ca-certificates-2021.10.06-alt1 sisyphus+286526.200.1.1 1633528578 installed <13>Dec 4 04:51:53 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Dec 4 04:51:53 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+287552.300.2.1 1634541487 installed <13>Dec 4 04:51:53 rpmi: libcrypto1.1-1.1.1l-alt2 sisyphus+287339.100.1.1 1634383658 installed <13>Dec 4 04:51:53 rpmi: libssl1.1-1.1.1l-alt2 sisyphus+287339.100.1.1 1634383658 installed <13>Dec 4 04:51:53 rpmi: gem-minitest-5.14.4-alt1 sisyphus+263530.10240.88.5 1629544086 installed <13>Dec 4 04:51:53 rpmi: gem-net-telnet-0.2.0.1-alt0.1 sisyphus+238996.14500.5.1 1630597117 installed <13>Dec 4 04:51:53 rpmi: gem-rake-13.0.5-alt1 sisyphus+246775.2300.5.1 1630649489 installed <13>Dec 4 04:51:53 rpmi: gem-xmlrpc-0.3.2-alt1 sisyphus+238996.13400.5.1 1630596769 installed <13>Dec 4 04:51:53 rpmi: gem-2:3.1.6-alt1.1 sisyphus+252865.77.13.1 1633608154 installed <13>Dec 4 04:51:53 rpmi: ri-6.3.0-alt1 sisyphus+263530.10200.88.5 1629544027 installed <13>Dec 4 04:51:53 rpmi: gem-rdoc-6.3.0-alt1 sisyphus+263530.10200.88.5 1629544027 installed <13>Dec 4 04:51:53 rpmi: rdoc-6.3.0-alt1 sisyphus+263530.10200.88.5 1629544027 installed <13>Dec 4 04:51:53 rpmi: rake-13.0.5-alt1 sisyphus+246775.2300.5.1 1630649489 installed <13>Dec 4 04:51:53 rpmi: erb-2.7.4-alt2.2 sisyphus+252865.77.13.1 1633608154 installed <13>Dec 4 04:51:53 rpmi: irb-2.7.4-alt2.2 sisyphus+252865.77.13.1 1633608154 installed <13>Dec 4 04:51:53 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Dec 4 04:51:53 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Dec 4 04:51:53 rpmi: bundle-2.2.19-alt1 sisyphus+263530.240.88.5 1629542341 installed <13>Dec 4 04:51:54 rpmi: gem-bundler-2.2.19-alt1 sisyphus+263530.240.88.5 1629542341 installed <13>Dec 4 04:51:54 rpmi: ruby-2.7.4-alt2.2 sisyphus+252865.77.13.1 1633608237 installed <13>Dec 4 04:51:55 rpmi: ruby-stdlibs-2.7.4-alt2.2 sisyphus+252865.77.13.1 1633608237 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.84281 + 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.84281 + 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.75300 + 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.75300 + 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: 0.992162 / Test error: 0.989365 / Layer sizes: 10 10 1 Training error: 0.990234 / Test error: 0.987527 / Layer sizes: 10 9 4 1 Training error: 0.986963 / Test error: 0.983981 / Layer sizes: 10 10 1 Training error: 0.984106 / Test error: 0.979625 / Layer sizes: 10 10 1 Training error: 0.980555 / Test error: 0.975397 / Layer sizes: 10 10 1 Training error: 0.975439 / Test error: 0.965095 / Layer sizes: 10 10 1 Training error: 0.973026 / Test error: 0.963264 / Layer sizes: 10 10 1 Training error: 0.974114 / Test error: 0.958418 / Layer sizes: 10 3 1 Training error: 0.964499 / Test error: 0.955194 / Layer sizes: 10 10 1 Training error: 0.937217 / Test error: 0.953508 / Layer sizes: 10 1 Training error: 0.961297 / Test error: 0.952845 / Layer sizes: 10 10 1 Training error: 0.959512 / Test error: 0.945800 / Layer sizes: 10 10 1 Training error: 0.954836 / Test error: 0.941421 / Layer sizes: 10 10 1 Training error: 0.913600 / Test error: 0.927832 / Layer sizes: 10 1 Training error: 0.906069 / Test error: 0.885401 / Layer sizes: 10 1 Training error: 0.890855 / Test error: 0.872945 / Layer sizes: 10 1 Training error: 0.867081 / Test error: 0.846642 / Layer sizes: 10 1 Training error: 0.864682 / Test error: 0.833821 / Layer sizes: 10 1 Training error: 0.856167 / Test error: 0.813380 / Layer sizes: 10 1 Training error: 0.848821 / Test error: 0.780049 / Layer sizes: 10 1 Training error: 0.826226 / Test error: 0.765292 / Layer sizes: 10 1 Training error: 0.806435 / Test error: 0.752166 / Layer sizes: 10 1 Training error: 0.778947 / Test error: 0.707576 / Layer sizes: 10 1 Training error: 0.774966 / Test error: 0.697206 / Layer sizes: 10 1 Training error: 0.764518 / Test error: 0.683748 / Layer sizes: 10 1 Training error: 0.722745 / Test error: 0.664282 / Layer sizes: 10 1 Training error: 0.709123 / Test error: 0.647853 / Layer sizes: 10 1 Training error: 0.708829 / Test error: 0.639823 / Layer sizes: 10 1 Training error: 0.684580 / Test error: 0.609464 / Layer sizes: 10 1 Training error: 0.675079 / Test error: 0.586623 / Layer sizes: 10 1 Training error: 0.653389 / Test error: 0.560792 / Layer sizes: 10 1 Training error: 0.635612 / Test error: 0.538841 / Layer sizes: 10 1 Training error: 0.624629 / Test error: 0.532909 / Layer sizes: 10 1 Training error: 0.623978 / Test error: 0.522541 / Layer sizes: 10 1 Training error: 0.609268 / Test error: 0.521367 / Layer sizes: 10 1 Training error: 0.600585 / Test error: 0.516666 / Layer sizes: 10 1 Training error: 0.562190 / Test error: 0.510402 / Layer sizes: 10 1 Training error: 0.547662 / Test error: 0.494739 / Layer sizes: 10 1 Training error: 0.544853 / Test error: 0.491652 / Layer sizes: 10 1 Training error: 0.517359 / Test error: 0.472258 / Layer sizes: 10 1 Training error: 0.510823 / Test error: 0.462905 / Layer sizes: 10 1 Training error: 0.506019 / Test error: 0.459728 / Layer sizes: 10 1 Training error: 0.502416 / Test error: 0.447254 / Layer sizes: 10 1 Training error: 0.502372 / Test error: 0.435583 / Layer sizes: 10 1 Training error: 0.494869 / Test error: 0.433647 / Layer sizes: 10 1 Training error: 0.487826 / Test error: 0.421355 / Layer sizes: 10 1 Training error: 0.477227 / Test error: 0.400606 / Layer sizes: 10 1 Training error: 0.477057 / Test error: 0.399610 / Layer sizes: 10 1 Training error: 0.472343 / Test error: 0.386831 / Layer sizes: 10 1 Training error: 0.471076 / Test error: 0.378587 / Layer sizes: 10 1 Training error: 0.466085 / Test error: 0.370093 / Layer sizes: 10 1 Training error: 0.451450 / Test error: 0.367845 / Layer sizes: 10 10 1 Training error: 0.449852 / Test error: 0.365983 / Layer sizes: 10 10 1 Training error: 0.445812 / Test error: 0.360564 / Layer sizes: 10 10 1 Training error: 0.443377 / Test error: 0.356058 / Layer sizes: 10 10 1 Training error: 0.442818 / Test error: 0.348604 / Layer sizes: 10 10 1 Training error: 0.419542 / Test error: 0.335152 / Layer sizes: 10 10 1 Training error: 0.411774 / Test error: 0.330162 / Layer sizes: 10 10 1 Training error: 0.406679 / Test error: 0.326224 / Layer sizes: 10 10 1 Training error: 0.404165 / Test error: 0.322807 / Layer sizes: 10 10 1 Training error: 0.399612 / Test error: 0.319451 / Layer sizes: 10 10 1 Training error: 0.390439 / Test error: 0.312116 / Layer sizes: 10 10 1 Training error: 0.373530 / Test error: 0.311043 / Layer sizes: 10 10 1 Training error: 0.367495 / Test error: 0.302574 / Layer sizes: 10 10 1 Training error: 0.359526 / Test error: 0.298638 / Layer sizes: 10 10 1 Training error: 0.328387 / Test error: 0.298011 / Layer sizes: 10 10 1 Training error: 0.310558 / Test error: 0.295628 / Layer sizes: 10 10 1 Training error: 0.306488 / Test error: 0.292755 / Layer sizes: 10 10 1 Training error: 0.301745 / Test error: 0.286184 / Layer sizes: 10 10 1 Training error: 0.295115 / Test error: 0.284573 / Layer sizes: 10 10 1 Training error: 0.294704 / Test error: 0.282555 / Layer sizes: 10 10 1 Training error: 0.290489 / Test error: 0.279550 / Layer sizes: 10 10 1 Training error: 0.313832 / Test error: 0.277922 / Layer sizes: 10 9 4 1 Training error: 0.313126 / Test error: 0.273133 / Layer sizes: 10 9 4 1 Training error: 0.311458 / Test error: 0.270050 / Layer sizes: 10 9 4 1 Training error: 0.309901 / Test error: 0.261087 / Layer sizes: 10 9 4 1 Training error: 0.305687 / Test error: 0.256635 / Layer sizes: 10 9 4 1 Training error: 0.251217 / Test error: 0.251866 / Layer sizes: 10 9 4 1 Training error: 0.203866 / Test error: 0.246206 / Layer sizes: 10 9 4 1 Training error: 0.196328 / Test error: 0.245786 / Layer sizes: 10 7 1 Training error: 0.194679 / Test error: 0.230670 / Layer sizes: 10 7 1 Training error: 0.193016 / Test error: 0.221016 / Layer sizes: 10 7 1 Training error: 0.192818 / Test error: 0.216433 / Layer sizes: 10 7 1 Training error: 0.181418 / Test error: 0.215423 / Layer sizes: 10 7 1 Training error: 0.124893 / Test error: 0.214235 / Layer sizes: 10 7 1 Training error: 0.122887 / Test error: 0.212085 / Layer sizes: 10 7 1 Training error: 0.120844 / Test error: 0.208762 / Layer sizes: 10 7 1 Training error: 0.114449 / Test error: 0.200905 / Layer sizes: 10 7 1 Training error: 0.113167 / Test error: 0.194051 / Layer sizes: 10 7 1 Training error: 0.111575 / Test error: 0.192700 / Layer sizes: 10 7 1 Training error: 0.109493 / Test error: 0.185483 / Layer sizes: 10 7 1 Training error: 0.109171 / Test error: 0.176496 / Layer sizes: 10 7 1 Training error: 0.105784 / Test error: 0.175305 / Layer sizes: 10 7 1 Training error: 0.104221 / Test error: 0.173553 / Layer sizes: 10 7 1 Training error: 0.103632 / Test error: 0.167181 / Layer sizes: 10 7 1 Training error: 0.100216 / Test error: 0.164435 / Layer sizes: 10 7 1 Training error: 0.095253 / Test error: 0.163301 / Layer sizes: 10 7 1 Training error: 0.094111 / Test error: 0.161531 / Layer sizes: 10 7 1 Training error: 0.093993 / Test error: 0.154792 / Layer sizes: 10 7 1 Training error: 0.092573 / Test error: 0.145918 / Layer sizes: 10 7 1 Training error: 0.091806 / Test error: 0.141826 / Layer sizes: 10 7 1 Training error: 0.081944 / Test error: 0.139494 / Layer sizes: 10 7 1 Training error: 0.080703 / Test error: 0.135813 / Layer sizes: 10 7 1 Training error: 0.078978 / Test error: 0.132926 / Layer sizes: 10 7 1 Training error: 0.077800 / Test error: 0.132603 / Layer sizes: 10 7 1 Training error: 0.077350 / Test error: 0.128679 / Layer sizes: 10 7 1 Training error: 0.071325 / Test error: 0.123873 / Layer sizes: 10 7 1 Training error: 0.063849 / Test error: 0.119967 / Layer sizes: 10 7 1 Training error: 0.063524 / Test error: 0.118872 / Layer sizes: 10 7 1 Training error: 0.062058 / Test error: 0.117281 / Layer sizes: 10 7 1 Training error: 0.055697 / Test error: 0.115574 / Layer sizes: 10 7 1 Training error: 0.055611 / Test error: 0.112575 / Layer sizes: 10 7 1 Training error: 0.055463 / Test error: 0.111202 / Layer sizes: 10 7 1 Training error: 0.054596 / Test error: 0.108607 / Layer sizes: 10 7 1 Training error: 0.054495 / Test error: 0.102468 / Layer sizes: 10 7 1 Training error: 0.052940 / Test error: 0.100125 / Layer sizes: 10 7 1 Training error: 0.051765 / Test error: 0.095839 / Layer sizes: 10 7 1 Training error: 0.051541 / Test error: 0.094662 / Layer sizes: 10 7 1 Training error: 0.050086 / Test error: 0.093643 / Layer sizes: 10 7 1 Training error: 0.049262 / Test error: 0.092798 / Layer sizes: 10 7 1 Training error: 0.049234 / Test error: 0.086118 / Layer sizes: 10 7 1 Training error: 0.042619 / Test error: 0.084293 / Layer sizes: 10 7 1 Training error: 0.041347 / Test error: 0.081981 / Layer sizes: 10 7 1 Training error: 0.027241 / Test error: 0.081045 / Layer sizes: 10 7 1 Training error: 0.025887 / Test error: 0.076199 / Layer sizes: 10 7 1 Training error: 0.025689 / Test error: 0.073861 / Layer sizes: 10 7 1 Training error: 0.025379 / Test error: 0.070397 / Layer sizes: 10 7 1 Training error: 0.025320 / Test error: 0.067553 / Layer sizes: 10 7 1 Training error: 0.025151 / Test error: 0.066919 / Layer sizes: 10 7 1 Training error: 0.024047 / Test error: 0.065183 / Layer sizes: 10 7 1 Training error: 0.004673 / Test error: 0.063822 / Layer sizes: 10 7 1 Training error: 0.004578 / Test error: 0.060548 / Layer sizes: 10 7 1 Training error: 0.004572 / Test error: 0.057368 / Layer sizes: 10 7 1 Training error: 0.004411 / Test error: 0.055899 / Layer sizes: 10 7 1 Training error: 0.004404 / Test error: 0.050731 / Layer sizes: 10 7 1 Training error: 0.004370 / Test error: 0.046654 / Layer sizes: 10 7 1 Training error: 0.003060 / Test error: 0.045881 / Layer sizes: 10 7 1 Training error: 0.003034 / Test error: 0.045733 / Layer sizes: 10 7 1 Training error: 0.003001 / Test error: 0.044165 / Layer sizes: 10 7 1 Training error: 0.001123 / Test error: 0.042947 / Layer sizes: 10 7 1 Training error: 0.000117 / Test error: 0.038731 / Layer sizes: 10 10 10 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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. 88.16 % correct. 11.84 % wrong. Limit: 17.19 %. 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.84232 + 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.rIb88o 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.O3wuuU 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.L4m3QZ 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.tgUXa7 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.xclIWS 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) 88.12user 0.34system 1:36.57elapsed 91%CPU (0avgtext+0avgdata 31220maxresident)k 0inputs+0outputs (0major+151120minor)pagefaults 0swaps 92.47user 3.47system 1:43.93elapsed 92%CPU (0avgtext+0avgdata 103512maxresident)k 64344inputs+0outputs (30096major+437300minor)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 2021-12-04 04:53:34.741796184 +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 9acbadbf5e3f5a688f817ef502d5d1cf 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: 1281c623eb7c5069e17cd3e1945a0b15d92eff0f37aff25b7fc77773700b6257c6c00a5357c6024ea54422585cd1c6cd27fea141252b460aa69cdeebe87b8624 --- 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 2021-12-04 04:53:34.899797978 +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/b8 40755 root:root +/usr/lib/debug/.build-id/b8/0e7d821c88d951621a8094900c9c69dee332da 120777 root:root ../../../../bin/auto-nng +/usr/lib/debug/.build-id/b8/0e7d821c88d951621a8094900c9c69dee332da.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/b8 40755 root:root +File: /usr/lib/debug/.build-id/b8/0e7d821c88d951621a8094900c9c69dee332da 120777 root:root ../../../../bin/auto-nng +File: /usr/lib/debug/.build-id/b8/0e7d821c88d951621a8094900c9c69dee332da.debug 120777 root:root ../../usr/bin/auto-nng.debug +File: /usr/lib/debug/usr/bin/auto-nng.debug 100644 root:root 3c1ea054cfb43f281b47fde97eea211f 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: c6ae91162ac70510640b9126cff4bc01e5ddf413e41ff091f6490d58840b1952b4348056a7292bddff045f4538ad46a4f19e0d5cb7c96f01ecad23798a4b7da3