<86>Jun 19 14:51:44 userdel[253433]: delete user 'rooter' <86>Jun 19 14:51:44 userdel[253433]: removed group 'rooter' owned by 'rooter' <86>Jun 19 14:51:44 userdel[253433]: removed shadow group 'rooter' owned by 'rooter' <86>Jun 19 14:51:44 groupadd[253442]: group added to /etc/group: name=rooter, GID=531 <86>Jun 19 14:51:44 groupadd[253442]: group added to /etc/gshadow: name=rooter <86>Jun 19 14:51:44 groupadd[253442]: new group: name=rooter, GID=531 <86>Jun 19 14:51:44 useradd[253448]: new user: name=rooter, UID=531, GID=531, home=/root, shell=/bin/bash <86>Jun 19 14:51:44 userdel[253459]: delete user 'builder' <86>Jun 19 14:51:44 userdel[253459]: removed group 'builder' owned by 'builder' <86>Jun 19 14:51:44 userdel[253459]: removed shadow group 'builder' owned by 'builder' <86>Jun 19 14:51:44 groupadd[253469]: group added to /etc/group: name=builder, GID=532 <86>Jun 19 14:51:44 groupadd[253469]: group added to /etc/gshadow: name=builder <86>Jun 19 14:51:44 groupadd[253469]: new group: name=builder, GID=532 <86>Jun 19 14:51:44 useradd[253478]: new user: name=builder, UID=532, GID=532, home=/usr/src, shell=/bin/bash <13>Jun 19 14:51:47 rpmi: libruby-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 installed <13>Jun 19 14:51:47 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jun 19 14:51:47 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Jun 19 14:51:47 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jun 19 14:51:47 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Jun 19 14:51:47 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 19 14:51:47 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 19 14:51:47 rpmi: ca-certificates-2020.06.05-alt1 sisyphus+252902.200.1.1 1591391133 installed <13>Jun 19 14:51:47 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Jun 19 14:51:47 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jun 19 14:51:48 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Jun 19 14:51:48 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Jun 19 14:51:48 rpmi: erb-0:2.7.1-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>Jun 19 14:51:48 rpmi: irb-2.7.1-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>Jun 19 14:51:48 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Jun 19 14:51:48 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jun 19 14:51:48 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Jun 19 14:51:48 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jun 19 14:51:48 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jun 19 14:51:48 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Jun 19 14:51:48 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jun 19 14:51:48 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 19 14:51:48 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 19 14:51:48 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 19 14:51:48 rpmi: gem-1:3.1.2-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>Jun 19 14:51:48 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jun 19 14:51:50 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jun 19 14:51:50 rpmi: ruby-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 installed <13>Jun 19 14:51:50 rpmi: ruby-stdlibs-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm 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.37596 + 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.37596 + umask 022 + /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 -march=i586 -mtune=generic' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm auto-nng.c: In function 'main_generate': auto-nng.c:681:54: warning: 'continuous_input_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 681 | for (i = 0; i < continuous_input_count; i++) printf("%f, %f\n", continuous_input_averages[i], continuous_input_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:681:54: warning: 'continuous_input_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c:686:11: warning: 'continuous_output_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 686 | printf(DOUBLE_FORMAT ", " DOUBLE_FORMAT "\n", continuous_output_averages[i], continuous_output_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:686:11: warning: 'continuous_output_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c: In function 'main_run': auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 771 | double *continuous_input_stats; | ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:140: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 910 | printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]); | ^ auto-nng.c:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 904 | if (continuous_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 897 | if (binary_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 890 | if (continuous_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 883 | if (binary_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.23248 + 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 + 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) 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 Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.16704 + 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: 0.997287 / Test error: 0.996406 / Layer sizes: 10 1 Training error: 0.991245 / Test error: 0.984231 / Layer sizes: 10 9 4 1 Training error: 0.974028 / Test error: 0.978023 / Layer sizes: 10 1 Training error: 0.986286 / Test error: 0.973794 / Layer sizes: 10 9 4 1 Training error: 0.984314 / Test error: 0.969202 / Layer sizes: 10 9 4 1 Training error: 0.981844 / Test error: 0.963001 / Layer sizes: 10 9 4 1 Training error: 0.981161 / Test error: 0.960870 / Layer sizes: 10 9 4 1 Training error: 0.957626 / Test error: 0.954729 / Layer sizes: 10 1 Training error: 0.947073 / Test error: 0.952740 / Layer sizes: 10 1 Training error: 0.978981 / Test error: 0.952736 / Layer sizes: 10 9 4 1 Training error: 0.978739 / Test error: 0.950748 / Layer sizes: 10 9 4 1 Training error: 0.977263 / Test error: 0.945092 / Layer sizes: 10 9 4 1 Training error: 0.922204 / Test error: 0.918965 / Layer sizes: 10 1 Training error: 0.910991 / Test error: 0.897004 / Layer sizes: 10 1 Training error: 0.904982 / Test error: 0.880141 / Layer sizes: 10 1 Training error: 0.876535 / Test error: 0.847814 / Layer sizes: 10 1 Training error: 0.855316 / Test error: 0.835565 / Layer sizes: 10 1 Training error: 0.825346 / Test error: 0.802742 / Layer sizes: 10 1 Training error: 0.822468 / Test error: 0.793731 / Layer sizes: 10 1 Training error: 0.805069 / Test error: 0.747771 / Layer sizes: 10 1 Training error: 0.765932 / Test error: 0.715774 / Layer sizes: 10 1 Training error: 0.760818 / Test error: 0.702352 / Layer sizes: 10 1 Training error: 0.753603 / Test error: 0.699524 / Layer sizes: 10 1 Training error: 0.742753 / Test error: 0.693078 / Layer sizes: 10 1 Training error: 0.739775 / Test error: 0.688329 / Layer sizes: 10 1 Training error: 0.729723 / Test error: 0.661834 / Layer sizes: 10 1 Training error: 0.718647 / Test error: 0.657400 / Layer sizes: 10 1 Training error: 0.702333 / Test error: 0.626638 / Layer sizes: 10 1 Training error: 0.697521 / Test error: 0.620339 / Layer sizes: 10 1 Training error: 0.678568 / Test error: 0.617959 / Layer sizes: 10 1 Training error: 0.674850 / Test error: 0.614340 / Layer sizes: 10 1 Training error: 0.674243 / Test error: 0.613974 / Layer sizes: 10 1 Training error: 0.652429 / Test error: 0.609172 / Layer sizes: 10 1 Training error: 0.650096 / Test error: 0.594095 / Layer sizes: 10 1 Training error: 0.641063 / Test error: 0.591336 / Layer sizes: 10 1 Training error: 0.640702 / Test error: 0.586691 / Layer sizes: 10 1 Training error: 0.637005 / Test error: 0.584907 / Layer sizes: 10 1 Training error: 0.629067 / Test error: 0.571082 / Layer sizes: 10 1 Training error: 0.625655 / Test error: 0.551890 / Layer sizes: 10 1 Training error: 0.615826 / Test error: 0.535111 / Layer sizes: 10 1 Training error: 0.614639 / Test error: 0.534771 / Layer sizes: 10 1 Training error: 0.609486 / Test error: 0.525167 / Layer sizes: 10 1 Training error: 0.588508 / Test error: 0.519288 / Layer sizes: 10 1 Training error: 0.584376 / Test error: 0.506283 / Layer sizes: 10 1 Training error: 0.579519 / Test error: 0.497015 / Layer sizes: 10 1 Training error: 0.569801 / Test error: 0.488635 / Layer sizes: 10 1 Training error: 0.561797 / Test error: 0.488326 / Layer sizes: 10 1 Training error: 0.534436 / Test error: 0.488034 / Layer sizes: 10 1 Training error: 0.532463 / Test error: 0.477062 / Layer sizes: 10 1 Training error: 0.527867 / Test error: 0.474058 / Layer sizes: 10 1 Training error: 0.516770 / Test error: 0.473606 / Layer sizes: 10 1 Training error: 0.515939 / Test error: 0.465447 / Layer sizes: 10 1 Training error: 0.510298 / Test error: 0.462964 / Layer sizes: 10 1 Training error: 0.508442 / Test error: 0.461128 / Layer sizes: 10 1 Training error: 0.506924 / Test error: 0.459554 / Layer sizes: 10 1 Training error: 0.505072 / Test error: 0.454529 / Layer sizes: 10 1 Training error: 0.499716 / Test error: 0.446316 / Layer sizes: 10 1 Training error: 0.495951 / Test error: 0.434232 / Layer sizes: 10 1 Training error: 0.492487 / Test error: 0.429148 / Layer sizes: 10 1 Training error: 0.489715 / Test error: 0.421465 / Layer sizes: 10 1 Training error: 0.487840 / Test error: 0.418147 / Layer sizes: 10 1 Training error: 0.483332 / Test error: 0.411240 / Layer sizes: 10 1 Training error: 0.472718 / Test error: 0.408062 / Layer sizes: 10 1 Training error: 0.455055 / Test error: 0.399188 / Layer sizes: 10 3 1 Training error: 0.447752 / Test error: 0.396417 / Layer sizes: 10 3 1 Training error: 0.446464 / Test error: 0.394879 / Layer sizes: 10 7 1 Training error: 0.431474 / Test error: 0.389639 / Layer sizes: 10 3 1 Training error: 0.450155 / Test error: 0.387780 / Layer sizes: 10 10 1 Training error: 0.423478 / Test error: 0.383905 / Layer sizes: 10 3 1 Training error: 0.446755 / Test error: 0.383469 / Layer sizes: 10 1 Training error: 0.446730 / Test error: 0.381667 / Layer sizes: 10 1 Training error: 0.441001 / Test error: 0.379353 / Layer sizes: 10 1 Training error: 0.439493 / Test error: 0.371264 / Layer sizes: 10 1 Training error: 0.439444 / Test error: 0.361085 / Layer sizes: 10 1 Training error: 0.437873 / Test error: 0.357754 / Layer sizes: 10 1 Training error: 0.432261 / Test error: 0.355751 / Layer sizes: 10 1 Training error: 0.431227 / Test error: 0.354727 / Layer sizes: 10 1 Training error: 0.430673 / Test error: 0.348977 / Layer sizes: 10 1 Training error: 0.389246 / Test error: 0.346255 / Layer sizes: 10 3 3 1 Training error: 0.356047 / Test error: 0.345800 / Layer sizes: 10 3 1 Training error: 0.325639 / Test error: 0.341673 / Layer sizes: 10 3 3 1 Training error: 0.357179 / Test error: 0.341085 / Layer sizes: 10 10 1 Training error: 0.349819 / Test error: 0.333701 / Layer sizes: 10 10 1 Training error: 0.233314 / Test error: 0.328726 / Layer sizes: 10 3 1 Training error: 0.225193 / Test error: 0.325919 / Layer sizes: 10 3 1 Training error: 0.223877 / Test error: 0.317917 / Layer sizes: 10 3 1 Training error: 0.221325 / Test error: 0.310317 / Layer sizes: 10 3 1 Training error: 0.314476 / Test error: 0.296350 / Layer sizes: 10 10 1 Training error: 0.310712 / Test error: 0.287751 / Layer sizes: 10 10 1 Training error: 0.310032 / Test error: 0.285377 / Layer sizes: 10 10 1 Training error: 0.309755 / Test error: 0.281854 / Layer sizes: 10 10 1 Training error: 0.307665 / Test error: 0.278999 / Layer sizes: 10 10 1 Training error: 0.306441 / Test error: 0.268651 / Layer sizes: 10 10 1 Training error: 0.304578 / Test error: 0.258065 / Layer sizes: 10 10 1 Training error: 0.297744 / Test error: 0.258064 / Layer sizes: 10 10 1 Training error: 0.294452 / Test error: 0.256308 / Layer sizes: 10 10 1 Training error: 0.286653 / Test error: 0.251522 / Layer sizes: 10 10 1 Training error: 0.152211 / Test error: 0.249824 / Layer sizes: 10 3 1 Training error: 0.146296 / Test error: 0.232283 / Layer sizes: 10 3 1 Training error: 0.135886 / Test error: 0.216559 / Layer sizes: 10 3 1 Training error: 0.135378 / Test error: 0.213381 / Layer sizes: 10 3 1 Training error: 0.127319 / Test error: 0.209950 / Layer sizes: 10 3 1 Training error: 0.125080 / Test error: 0.196577 / Layer sizes: 10 3 1 Training error: 0.123260 / Test error: 0.187281 / Layer sizes: 10 3 1 Training error: 0.122257 / Test error: 0.186532 / Layer sizes: 10 3 1 Training error: 0.119306 / Test error: 0.170239 / Layer sizes: 10 3 1 Training error: 0.117509 / Test error: 0.163758 / Layer sizes: 10 3 1 Training error: 0.117374 / Test error: 0.159146 / Layer sizes: 10 3 1 Training error: 0.115134 / Test error: 0.158265 / Layer sizes: 10 3 1 Training error: 0.114762 / Test error: 0.156292 / Layer sizes: 10 3 1 Training error: 0.113694 / Test error: 0.151187 / Layer sizes: 10 3 1 Training error: 0.112264 / Test error: 0.150630 / Layer sizes: 10 3 1 Training error: 0.106554 / Test error: 0.144345 / Layer sizes: 10 3 1 Training error: 0.087071 / Test error: 0.140170 / Layer sizes: 10 3 1 Training error: 0.086157 / Test error: 0.135153 / Layer sizes: 10 3 1 Training error: 0.085103 / Test error: 0.133596 / Layer sizes: 10 3 1 Training error: 0.084417 / Test error: 0.127482 / Layer sizes: 10 3 1 Training error: 0.082383 / Test error: 0.126285 / Layer sizes: 10 3 1 Training error: 0.072428 / Test error: 0.122793 / Layer sizes: 10 3 1 Training error: 0.070011 / Test error: 0.110915 / Layer sizes: 10 3 1 Training error: 0.069927 / Test error: 0.110591 / Layer sizes: 10 3 1 Training error: 0.069428 / Test error: 0.107383 / Layer sizes: 10 3 1 Training error: 0.069265 / Test error: 0.106486 / Layer sizes: 10 3 1 Training error: 0.066388 / Test error: 0.102851 / Layer sizes: 10 3 1 Training error: 0.065888 / Test error: 0.099302 / Layer sizes: 10 3 1 Training error: 0.063442 / Test error: 0.096682 / Layer sizes: 10 3 1 Training error: 0.063270 / Test error: 0.092855 / Layer sizes: 10 3 1 Training error: 0.063205 / Test error: 0.092443 / Layer sizes: 10 3 1 Training error: 0.018064 / Test error: 0.091208 / Layer sizes: 10 7 1 Training error: 0.018060 / Test error: 0.089107 / Layer sizes: 10 7 1 Training error: 0.017915 / Test error: 0.088621 / Layer sizes: 10 7 1 Training error: 0.017659 / Test error: 0.085144 / Layer sizes: 10 7 1 Training error: 0.017594 / Test error: 0.081983 / Layer sizes: 10 7 1 Training error: 0.017476 / Test error: 0.076538 / Layer sizes: 10 7 1 Training error: 0.017376 / Test error: 0.071466 / Layer sizes: 10 7 1 Training error: 0.017308 / Test error: 0.071038 / Layer sizes: 10 7 1 Training error: 0.017305 / Test error: 0.068455 / Layer sizes: 10 7 1 Training error: 0.016898 / Test error: 0.066803 / Layer sizes: 10 7 1 Training error: 0.016752 / Test error: 0.066622 / Layer sizes: 10 7 1 Training error: 0.016657 / Test error: 0.066467 / Layer sizes: 10 7 1 Training error: 0.016575 / Test error: 0.062665 / Layer sizes: 10 7 1 Training error: 0.016479 / Test error: 0.061763 / Layer sizes: 10 7 1 Training error: 0.016428 / Test error: 0.060451 / Layer sizes: 10 7 1 Training error: 0.012410 / Test error: 0.059450 / Layer sizes: 10 7 1 Training error: 0.012399 / Test error: 0.059013 / Layer sizes: 10 7 1 Training error: 0.012071 / Test error: 0.057561 / Layer sizes: 10 7 1 Training error: 0.011948 / Test error: 0.055897 / Layer sizes: 10 7 1 Training error: 0.011939 / Test error: 0.055504 / Layer sizes: 10 7 1 Training error: 0.001695 / Test error: 0.051769 / Layer sizes: 10 3 1 Training error: 0.003866 / Test error: 0.048156 / Layer sizes: 10 7 1 Training error: 0.000891 / Test error: 0.045263 / Layer sizes: 10 3 1 Training error: 0.000171 / Test error: 0.041464 / Layer sizes: 10 9 4 1 Training error: 0.000163 / Test error: 0.040531 / Layer sizes: 10 9 4 1 Training error: 0.000159 / Test error: 0.040486 / Layer sizes: 10 9 4 1 Training error: 0.000150 / Test error: 0.040283 / Layer sizes: 10 9 4 1 Training error: 0.000203 / Test error: 0.002666 / Layer sizes: 10 7 1 Training error: 0.000178 / Test error: 0.000865 / Layer sizes: 10 7 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. 91.50 % correct. 8.50 % wrong. Limit: 18.34 %. 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.84314 + 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.jASjwS find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.RcgNrS find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,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_2.3.4), 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.cqV7lP 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.yjQ4FP find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Qx7F7Q 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 Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm 86.18user 1.10system 1:43.15elapsed 84%CPU (0avgtext+0avgdata 35864maxresident)k 0inputs+0outputs (0major+162447minor)pagefaults 0swaps 95.92user 7.36system 1:59.60elapsed 86%CPU (0avgtext+0avgdata 113308maxresident)k 42328inputs+0outputs (0major+481137minor)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 2020-06-19 14:53:40.228361382 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)