<86>May 25 08:45:15 userdel[2878647]: delete user 'rooter' <86>May 25 08:45:15 userdel[2878647]: removed group 'rooter' owned by 'rooter' <86>May 25 08:45:15 groupadd[2878659]: group added to /etc/group: name=rooter, GID=1283 <86>May 25 08:45:15 groupadd[2878659]: group added to /etc/gshadow: name=rooter <86>May 25 08:45:15 groupadd[2878659]: new group: name=rooter, GID=1283 <86>May 25 08:45:15 useradd[2878665]: new user: name=rooter, UID=1283, GID=1283, home=/root, shell=/bin/bash, from=none <86>May 25 08:45:15 userdel[2878676]: delete user 'builder' <86>May 25 08:45:15 userdel[2878676]: removed group 'builder' owned by 'builder' <86>May 25 08:45:15 userdel[2878676]: removed shadow group 'builder' owned by 'builder' <86>May 25 08:45:15 groupadd[2878685]: group added to /etc/group: name=builder, GID=1284 <86>May 25 08:45:15 groupadd[2878685]: group added to /etc/gshadow: name=builder <86>May 25 08:45:15 groupadd[2878685]: new group: name=builder, GID=1284 <86>May 25 08:45:15 useradd[2878694]: new user: name=builder, UID=1284, GID=1284, home=/usr/src, shell=/bin/bash, from=none <13>May 25 08:45:20 rpmi: libyaml2-0.2.5-alt1 sisyphus+278391.100.1.1 1626094932 installed <13>May 25 08:45:20 rpmi: libruby-3.1.4-alt4.4 sisyphus+344821.44.45.2 1715887288 installed <13>May 25 08:45:20 rpmi: libncurses6-6.3.20220618-alt4 sisyphus+327286.4600.14.1 1711486782 installed <13>May 25 08:45:20 rpmi: libp11-kit-1:0.25.3-alt2 sisyphus+336533.100.1.1 1702645575 installed <13>May 25 08:45:20 rpmi: libtasn1-4.19.0-alt3 sisyphus+327816.100.1.1 1692802618 installed <13>May 25 08:45:20 rpmi: rpm-macros-alternatives-0.5.2-alt2 sisyphus+315270.200.2.1 1676457367 installed <13>May 25 08:45:20 rpmi: alternatives-0.5.2-alt2 sisyphus+315270.200.2.1 1676457367 installed <13>May 25 08:45:20 rpmi: ca-certificates-2024.02.24-alt1 sisyphus+341362.100.1.1 1708791001 installed <13>May 25 08:45:20 rpmi: ca-trust-0.2.0-alt1 sisyphus+344843.100.1.1 1712743326 installed <13>May 25 08:45:20 rpmi: p11-kit-trust-1:0.25.3-alt2 sisyphus+336533.100.1.1 1702645575 installed <13>May 25 08:45:21 rpmi: libcrypto3-3.1.5-alt2 sisyphus+343320.140.3.1 1711982452 installed <13>May 25 08:45:21 rpmi: libssl3-3.1.5-alt2 sisyphus+343320.140.3.1 1711982452 installed <86>May 25 08:45:21 groupadd[2885490]: group added to /etc/group: name=ruby, GID=999 <86>May 25 08:45:21 groupadd[2885490]: group added to /etc/gshadow: name=ruby <86>May 25 08:45:21 groupadd[2885490]: new group: name=ruby, GID=999 <86>May 25 08:45:21 usermod[2885512]: add 'root' to group 'ruby' <86>May 25 08:45:21 usermod[2885512]: add 'root' to shadow group 'ruby' <13>May 25 08:45:21 rpmi: ruby-3.1.4-alt4.4 sisyphus+344821.44.45.2 1715887288 installed NOTE: to make the environment variable changes come into effect, please relogin the terminal session <13>May 25 08:45:21 rpmi: ruby-stdlibs-3.1.4-alt4.4 sisyphus+344821.44.45.2 1715887288 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.92243 + umask 022 + /usr/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): + /bin/patch -p1 -b --suffix .cflags patching file Makefile + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.92243 + umask 022 + /usr/bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make -j8 '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.8284 + umask 022 + /usr/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:/usr/bin:/bin:/usr/local/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 Splitting links to aliased files under /{,s}bin in /usr/src/tmp/auto-nng-buildroot Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.56934 + umask 022 + /usr/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: 0.994650 / Test error: 0.986040 / Layer sizes: 10 3 1 Training error: 0.991623 / Test error: 0.981866 / Layer sizes: 10 7 1 Training error: 0.987049 / Test error: 0.959262 / Layer sizes: 10 1 Training error: 0.969105 / Test error: 0.921236 / Layer sizes: 10 1 Training error: 0.959758 / Test error: 0.905203 / Layer sizes: 10 1 Training error: 0.930919 / Test error: 0.861832 / Layer sizes: 10 1 Training error: 0.894488 / Test error: 0.819448 / Layer sizes: 10 1 Training error: 0.864303 / Test error: 0.784703 / Layer sizes: 10 1 Training error: 0.809970 / Test error: 0.783636 / Layer sizes: 10 1 Training error: 0.794927 / Test error: 0.764459 / Layer sizes: 10 1 Training error: 0.786981 / Test error: 0.749963 / Layer sizes: 10 1 Training error: 0.763883 / Test error: 0.743382 / Layer sizes: 10 1 Training error: 0.747938 / Test error: 0.738289 / Layer sizes: 10 1 Training error: 0.728238 / Test error: 0.711412 / Layer sizes: 10 1 Training error: 0.717290 / Test error: 0.706606 / Layer sizes: 10 1 Training error: 0.696775 / Test error: 0.694936 / Layer sizes: 10 1 Training error: 0.689204 / Test error: 0.690478 / Layer sizes: 10 1 Training error: 0.671858 / Test error: 0.655491 / Layer sizes: 10 1 Training error: 0.661961 / Test error: 0.628041 / Layer sizes: 10 1 Training error: 0.644311 / Test error: 0.622100 / Layer sizes: 10 1 Training error: 0.643450 / Test error: 0.595415 / Layer sizes: 10 1 Training error: 0.642076 / Test error: 0.578050 / Layer sizes: 10 1 Training error: 0.641643 / Test error: 0.577641 / Layer sizes: 10 1 Training error: 0.640450 / Test error: 0.575416 / Layer sizes: 10 1 Training error: 0.634206 / Test error: 0.573613 / Layer sizes: 10 1 Training error: 0.626198 / Test error: 0.569918 / Layer sizes: 10 1 Training error: 0.623835 / Test error: 0.561396 / Layer sizes: 10 1 Training error: 0.611829 / Test error: 0.546530 / Layer sizes: 10 1 Training error: 0.606990 / Test error: 0.535162 / Layer sizes: 10 1 Training error: 0.605893 / Test error: 0.518868 / Layer sizes: 10 1 Training error: 0.605172 / Test error: 0.510475 / Layer sizes: 10 1 Training error: 0.596126 / Test error: 0.488823 / Layer sizes: 10 1 Training error: 0.593722 / Test error: 0.485852 / Layer sizes: 10 1 Training error: 0.588435 / Test error: 0.475652 / Layer sizes: 10 1 Training error: 0.587460 / Test error: 0.470219 / Layer sizes: 10 1 Training error: 0.578160 / Test error: 0.447836 / Layer sizes: 10 1 Training error: 0.573937 / Test error: 0.437197 / Layer sizes: 10 1 Training error: 0.569092 / Test error: 0.433088 / Layer sizes: 10 1 Training error: 0.562112 / Test error: 0.421257 / Layer sizes: 10 1 Training error: 0.558333 / Test error: 0.411405 / Layer sizes: 10 1 Training error: 0.554135 / Test error: 0.409202 / Layer sizes: 10 1 Training error: 0.553526 / Test error: 0.400409 / Layer sizes: 10 1 Training error: 0.544796 / Test error: 0.396916 / Layer sizes: 10 1 Training error: 0.535255 / Test error: 0.388296 / Layer sizes: 10 1 Training error: 0.523161 / Test error: 0.363493 / Layer sizes: 10 1 Training error: 0.521688 / Test error: 0.362656 / Layer sizes: 10 1 Training error: 0.518629 / Test error: 0.350220 / Layer sizes: 10 1 Training error: 0.516403 / Test error: 0.339490 / Layer sizes: 10 1 Training error: 0.508488 / Test error: 0.336453 / Layer sizes: 10 1 Training error: 0.505863 / Test error: 0.325442 / Layer sizes: 10 1 Training error: 0.489266 / Test error: 0.314372 / Layer sizes: 10 1 Training error: 0.485429 / Test error: 0.311146 / Layer sizes: 10 1 Training error: 0.482419 / Test error: 0.301424 / Layer sizes: 10 1 Training error: 0.492764 / Test error: 0.296087 / Layer sizes: 10 10 1 Training error: 0.478969 / Test error: 0.290377 / Layer sizes: 10 1 Training error: 0.478566 / Test error: 0.273916 / Layer sizes: 10 1 Training error: 0.472338 / Test error: 0.269423 / Layer sizes: 10 1 Training error: 0.467168 / Test error: 0.262842 / Layer sizes: 10 1 Training error: 0.461086 / Test error: 0.262795 / Layer sizes: 10 1 Training error: 0.459510 / Test error: 0.260744 / Layer sizes: 10 1 Training error: 0.458015 / Test error: 0.248985 / Layer sizes: 10 1 Training error: 0.455777 / Test error: 0.247082 / Layer sizes: 10 1 Training error: 0.455406 / Test error: 0.242600 / Layer sizes: 10 1 Training error: 0.455070 / Test error: 0.240082 / Layer sizes: 10 1 Training error: 0.454571 / Test error: 0.234503 / Layer sizes: 10 1 Training error: 0.449122 / Test error: 0.234158 / Layer sizes: 10 1 Training error: 0.448982 / Test error: 0.229425 / Layer sizes: 10 1 Training error: 0.448186 / Test error: 0.224638 / Layer sizes: 10 1 Training error: 0.447915 / Test error: 0.224273 / Layer sizes: 10 1 Training error: 0.446511 / Test error: 0.222163 / Layer sizes: 10 1 Training error: 0.445673 / Test error: 0.220423 / Layer sizes: 10 1 Training error: 0.442091 / Test error: 0.217949 / Layer sizes: 10 1 Training error: 0.415985 / Test error: 0.213642 / Layer sizes: 10 10 1 Training error: 0.412223 / Test error: 0.204544 / Layer sizes: 10 10 1 Training error: 0.408309 / Test error: 0.203540 / Layer sizes: 10 10 1 Training error: 0.404126 / Test error: 0.189627 / Layer sizes: 10 10 1 Training error: 0.402788 / Test error: 0.175913 / Layer sizes: 10 10 1 Training error: 0.397721 / Test error: 0.162013 / Layer sizes: 10 10 1 Training error: 0.390386 / Test error: 0.158859 / Layer sizes: 10 10 1 Training error: 0.334932 / Test error: 0.157891 / Layer sizes: 10 10 1 Training error: 0.402593 / Test error: 0.153126 / Layer sizes: 10 1 Training error: 0.400969 / Test error: 0.152098 / Layer sizes: 10 1 Training error: 0.320139 / Test error: 0.146818 / Layer sizes: 10 10 1 Training error: 0.319012 / Test error: 0.144629 / Layer sizes: 10 10 1 Training error: 0.318492 / Test error: 0.138650 / Layer sizes: 10 10 1 Training error: 0.316758 / Test error: 0.137514 / Layer sizes: 10 10 1 Training error: 0.380165 / Test error: 0.136577 / Layer sizes: 10 1 Training error: 0.377455 / Test error: 0.135699 / Layer sizes: 10 1 Training error: 0.377393 / Test error: 0.132836 / Layer sizes: 10 1 Training error: 0.366758 / Test error: 0.131820 / Layer sizes: 10 1 Training error: 0.263551 / Test error: 0.130557 / Layer sizes: 10 3 3 1 Training error: 0.259645 / Test error: 0.129624 / Layer sizes: 10 3 3 1 Training error: 0.150127 / Test error: 0.126568 / Layer sizes: 10 7 1 Training error: 0.360869 / Test error: 0.125452 / Layer sizes: 10 1 Training error: 0.360018 / Test error: 0.123568 / Layer sizes: 10 1 Training error: 0.082292 / Test error: 0.122138 / Layer sizes: 10 9 4 1 Training error: 0.082150 / Test error: 0.121121 / Layer sizes: 10 9 4 1 Training error: 0.104607 / Test error: 0.112295 / Layer sizes: 10 7 1 Training error: 0.103873 / Test error: 0.112029 / Layer sizes: 10 7 1 Training error: 0.103626 / Test error: 0.110233 / Layer sizes: 10 7 1 Training error: 0.103462 / Test error: 0.110128 / Layer sizes: 10 7 1 Training error: 0.102955 / Test error: 0.104512 / Layer sizes: 10 7 1 Training error: 0.102736 / Test error: 0.094596 / Layer sizes: 10 7 1 Training error: 0.102695 / Test error: 0.093226 / Layer sizes: 10 7 1 Training error: 0.102183 / Test error: 0.093062 / Layer sizes: 10 7 1 Training error: 0.101914 / Test error: 0.092908 / Layer sizes: 10 7 1 Training error: 0.100590 / Test error: 0.091713 / Layer sizes: 10 7 1 Training error: 0.100404 / Test error: 0.091090 / Layer sizes: 10 7 1 Training error: 0.100096 / Test error: 0.080970 / Layer sizes: 10 7 1 Training error: 0.099946 / Test error: 0.076383 / Layer sizes: 10 7 1 Training error: 0.099399 / Test error: 0.070090 / Layer sizes: 10 7 1 Training error: 0.098422 / Test error: 0.066824 / Layer sizes: 10 7 1 Training error: 0.006057 / Test error: 0.064573 / Layer sizes: 10 10 1 Training error: 0.005976 / Test error: 0.056467 / Layer sizes: 10 10 1 Training error: 0.005953 / Test error: 0.046580 / Layer sizes: 10 10 1 Training error: 0.005917 / Test error: 0.042838 / Layer sizes: 10 10 1 Training error: 0.005872 / Test error: 0.041719 / Layer sizes: 10 10 1 Training error: 0.005793 / Test error: 0.031405 / Layer sizes: 10 10 1 Training error: 0.005586 / Test error: 0.029913 / Layer sizes: 10 10 1 Training error: 0.004669 / Test error: 0.025451 / Layer sizes: 10 10 1 Training error: 0.004661 / Test error: 0.021477 / Layer sizes: 10 10 1 Training error: 0.004647 / Test error: 0.016236 / Layer sizes: 10 10 1 Training error: 0.003396 / Test error: 0.015335 / Layer sizes: 10 10 1 Training error: 0.003029 / Test error: 0.015021 / Layer sizes: 10 10 1 Training error: 0.003007 / Test error: 0.012426 / Layer sizes: 10 10 1 Training error: 0.002758 / Test error: 0.010360 / Layer sizes: 10 10 1 Training error: 0.002560 / Test error: 0.008742 / Layer sizes: 10 10 1 Training error: 0.002383 / Test error: 0.007768 / Layer sizes: 10 10 1 Training error: 0.002286 / Test error: 0.007619 / Layer sizes: 10 10 1 Training error: 0.002284 / Test error: 0.006101 / Layer sizes: 10 10 1 Training error: 0.002273 / Test error: 0.003998 / Layer sizes: 10 10 1 Training error: 0.002269 / Test error: 0.003945 / Layer sizes: 10 10 1 Training error: 0.002213 / Test error: 0.003812 / Layer sizes: 10 10 1 Training error: 0.001584 / Test error: 0.003785 / Layer sizes: 10 10 1 Training error: 0.001579 / Test error: 0.003705 / Layer sizes: 10 10 1 Training error: 0.001574 / Test error: 0.003428 / Layer sizes: 10 10 1 Training error: 0.000891 / Test error: 0.002743 / Layer sizes: 10 10 10 1 Training error: 0.000891 / Test error: 0.001883 / Layer sizes: 10 10 10 1 Training error: 0.000882 / Test error: 0.001700 / Layer sizes: 10 10 10 1 Training error: 0.000870 / Test error: 0.001457 / Layer sizes: 10 10 10 1 Training error: 0.000856 / Test error: 0.001289 / Layer sizes: 10 10 10 1 Training error: 0.000505 / Test error: 0.000700 / Layer sizes: 10 10 10 1 Training error: 0.000504 / Test error: 0.000665 / Layer sizes: 10 10 10 1 Training error: 0.000502 / Test error: 0.000600 / Layer sizes: 10 10 10 1 Training error: 0.000502 / Test error: 0.000597 / Layer sizes: 10 10 10 1 Training error: 0.000497 / Test error: 0.000583 / Layer sizes: 10 10 10 1 Training error: 0.000071 / Test error: 0.000104 / Layer sizes: 10 10 10 1 Training error: 0.000070 / Test error: 0.000077 / Layer sizes: 10 10 10 1 Training error: 0.000070 / Test error: 0.000076 / Layer sizes: 10 10 10 1 Training error: 0.000069 / Test error: 0.000075 / Layer sizes: 10 10 10 1 Training error: 0.000056 / Test error: 0.000067 / Layer sizes: 10 10 10 1 Training error: 0.000018 / Test error: 0.000021 / 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 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 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 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 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. 92.04 % correct. 7.96 % wrong. Limit: 17.70 %. 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.95804 + umask 022 + /usr/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 + /usr/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.xr4vtt 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.59bSuW 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.hJECxY 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.cTHHIH find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Oxd7uu 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) 90.66user 1.32system 1:37.86elapsed 93%CPU (0avgtext+0avgdata 34532maxresident)k 0inputs+0outputs (0major+152784minor)pagefaults 0swaps 5.39user 2.20system 1:53.20elapsed 6%CPU (0avgtext+0avgdata 127384maxresident)k 8536inputs+0outputs (0major+203659minor)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 2024-05-25 08:47:03.853244667 +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 c03d47652217864df6cb18cab9402957 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: a525b371b190db48f0f0879581d1064369ee1b9612311de51610dd6992ebb6e02518be24a41b783db314c3f229fe213532022a1af0253ba503d62e11b3c111c3 --- 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 2024-05-25 08:47:03.988246095 +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/58 40755 root:root +/usr/lib/debug/.build-id/58/d1b989ffb16715aee90195faeca768e39d5879 120777 root:root ../../../../bin/auto-nng +/usr/lib/debug/.build-id/58/d1b989ffb16715aee90195faeca768e39d5879.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/58 40755 root:root +File: /usr/lib/debug/.build-id/58/d1b989ffb16715aee90195faeca768e39d5879 120777 root:root ../../../../bin/auto-nng +File: /usr/lib/debug/.build-id/58/d1b989ffb16715aee90195faeca768e39d5879.debug 120777 root:root ../../usr/bin/auto-nng.debug +File: /usr/lib/debug/usr/bin/auto-nng.debug 100644 root:root 89c979f1ddacf036280e0a2d31d63c08 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: 451effbb06afe973336f03ff6f0b4b1953b6b1d71deffeb7b01b2e78e9c30a6c6f2a2078b443b06c9d727c912a802d65bb77d0a1005350fe69471c4f580d602a