<86>Jun 22 12:48:47 userdel[2770860]: delete user 'rooter' <86>Jun 22 12:48:47 userdel[2770860]: removed group 'rooter' owned by 'rooter' <86>Jun 22 12:48:47 groupadd[2770874]: group added to /etc/group: name=rooter, GID=645 <86>Jun 22 12:48:47 groupadd[2770874]: group added to /etc/gshadow: name=rooter <86>Jun 22 12:48:47 groupadd[2770874]: new group: name=rooter, GID=645 <86>Jun 22 12:48:47 useradd[2770886]: new user: name=rooter, UID=645, GID=645, home=/root, shell=/bin/bash <86>Jun 22 12:48:47 userdel[2770897]: delete user 'builder' <86>Jun 22 12:48:47 userdel[2770897]: removed group 'builder' owned by 'builder' <86>Jun 22 12:48:47 userdel[2770897]: removed shadow group 'builder' owned by 'builder' <86>Jun 22 12:48:47 groupadd[2770910]: group added to /etc/group: name=builder, GID=646 <86>Jun 22 12:48:47 groupadd[2770910]: group added to /etc/gshadow: name=builder <86>Jun 22 12:48:47 groupadd[2770910]: new group: name=builder, GID=646 <86>Jun 22 12:48:47 useradd[2770917]: new user: name=builder, UID=646, GID=646, home=/usr/src, shell=/bin/bash <13>Jun 22 12:48:49 rpmi: libruby-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227211 installed <13>Jun 22 12:48:49 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jun 22 12:48:49 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Jun 22 12:48:49 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jun 22 12:48:49 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Jun 22 12:48:49 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 22 12:48:49 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 22 12:48:49 rpmi: ca-certificates-2021.06.03-alt1 sisyphus+273509.400.1.1 1622736045 installed <13>Jun 22 12:48:49 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Jun 22 12:48:49 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jun 22 12:48:49 rpmi: libcrypto1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>Jun 22 12:48:49 rpmi: libssl1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>Jun 22 12:48:49 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Jun 22 12:48:49 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jun 22 12:48:49 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jun 22 12:48:49 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jun 22 12:48:49 rpmi: gem-2:3.1.2-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>Jun 22 12:48:49 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 22 12:48:49 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 22 12:48:49 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 22 12:48:49 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jun 22 12:48:49 rpmi: erb-0:2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>Jun 22 12:48:49 rpmi: irb-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>Jun 22 12:48:49 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Jun 22 12:48:49 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Jun 22 12:48:49 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jun 22 12:48:50 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jun 22 12:48:50 rpmi: ruby-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227211 installed <13>Jun 22 12:48:51 rpmi: ruby-stdlibs-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227211 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.86280 + 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.86280 + 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: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: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: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.86280 + 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.23312 + 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: 0.996089 / Test error: 0.991262 / Layer sizes: 10 3 1 Training error: 0.996180 / Test error: 0.990205 / Layer sizes: 10 7 1 Training error: 0.991955 / Test error: 0.982416 / Layer sizes: 10 3 3 1 Training error: 0.990602 / Test error: 0.979563 / Layer sizes: 10 3 1 Training error: 0.989842 / Test error: 0.978062 / Layer sizes: 10 3 1 Training error: 0.989740 / Test error: 0.977280 / Layer sizes: 10 10 10 1 Training error: 0.962236 / Test error: 0.960543 / Layer sizes: 10 1 Training error: 0.952294 / Test error: 0.945033 / Layer sizes: 10 1 Training error: 0.945758 / Test error: 0.939481 / Layer sizes: 10 1 Training error: 0.974368 / Test error: 0.936271 / Layer sizes: 10 9 4 1 Training error: 0.937949 / Test error: 0.934831 / Layer sizes: 10 1 Training error: 0.972957 / Test error: 0.931838 / Layer sizes: 10 9 4 1 Training error: 0.971351 / Test error: 0.920920 / Layer sizes: 10 10 10 1 Training error: 0.967109 / Test error: 0.906760 / Layer sizes: 10 10 10 1 Training error: 0.964499 / Test error: 0.893822 / Layer sizes: 10 10 10 1 Training error: 0.963290 / Test error: 0.886643 / Layer sizes: 10 10 10 1 Training error: 0.882966 / Test error: 0.866488 / Layer sizes: 10 1 Training error: 0.879042 / Test error: 0.842345 / Layer sizes: 10 1 Training error: 0.852400 / Test error: 0.816740 / Layer sizes: 10 1 Training error: 0.835421 / Test error: 0.783206 / Layer sizes: 10 1 Training error: 0.830069 / Test error: 0.782109 / Layer sizes: 10 1 Training error: 0.807662 / Test error: 0.745824 / Layer sizes: 10 1 Training error: 0.797077 / Test error: 0.720633 / Layer sizes: 10 1 Training error: 0.782113 / Test error: 0.707153 / Layer sizes: 10 1 Training error: 0.766276 / Test error: 0.694159 / Layer sizes: 10 1 Training error: 0.732471 / Test error: 0.666294 / Layer sizes: 10 1 Training error: 0.677382 / Test error: 0.629940 / Layer sizes: 10 1 Training error: 0.659657 / Test error: 0.626731 / Layer sizes: 10 1 Training error: 0.644074 / Test error: 0.620718 / Layer sizes: 10 1 Training error: 0.628944 / Test error: 0.610402 / Layer sizes: 10 1 Training error: 0.623493 / Test error: 0.594472 / Layer sizes: 10 1 Training error: 0.612811 / Test error: 0.584554 / Layer sizes: 10 1 Training error: 0.605690 / Test error: 0.565210 / Layer sizes: 10 1 Training error: 0.597454 / Test error: 0.555130 / Layer sizes: 10 1 Training error: 0.577145 / Test error: 0.551700 / Layer sizes: 10 1 Training error: 0.557160 / Test error: 0.544721 / Layer sizes: 10 1 Training error: 0.550071 / Test error: 0.540253 / Layer sizes: 10 1 Training error: 0.550049 / Test error: 0.536842 / Layer sizes: 10 1 Training error: 0.542430 / Test error: 0.534648 / Layer sizes: 10 1 Training error: 0.536927 / Test error: 0.524512 / Layer sizes: 10 1 Training error: 0.530431 / Test error: 0.518650 / Layer sizes: 10 1 Training error: 0.514002 / Test error: 0.504988 / Layer sizes: 10 1 Training error: 0.507901 / Test error: 0.498625 / Layer sizes: 10 1 Training error: 0.502317 / Test error: 0.475628 / Layer sizes: 10 1 Training error: 0.497632 / Test error: 0.468442 / Layer sizes: 10 1 Training error: 0.481306 / Test error: 0.456695 / Layer sizes: 10 1 Training error: 0.474247 / Test error: 0.447612 / Layer sizes: 10 1 Training error: 0.467750 / Test error: 0.441411 / Layer sizes: 10 1 Training error: 0.458787 / Test error: 0.438333 / Layer sizes: 10 1 Training error: 0.457399 / Test error: 0.436155 / Layer sizes: 10 1 Training error: 0.443130 / Test error: 0.433966 / Layer sizes: 10 1 Training error: 0.437565 / Test error: 0.414685 / Layer sizes: 10 1 Training error: 0.437160 / Test error: 0.411419 / Layer sizes: 10 1 Training error: 0.436690 / Test error: 0.409407 / Layer sizes: 10 1 Training error: 0.433467 / Test error: 0.393223 / Layer sizes: 10 1 Training error: 0.432998 / Test error: 0.384050 / Layer sizes: 10 1 Training error: 0.423907 / Test error: 0.380745 / Layer sizes: 10 1 Training error: 0.416764 / Test error: 0.379960 / Layer sizes: 10 1 Training error: 0.409193 / Test error: 0.375892 / Layer sizes: 10 1 Training error: 0.407835 / Test error: 0.374385 / Layer sizes: 10 1 Training error: 0.407540 / Test error: 0.369514 / Layer sizes: 10 1 Training error: 0.405203 / Test error: 0.368671 / Layer sizes: 10 1 Training error: 0.404807 / Test error: 0.365244 / Layer sizes: 10 1 Training error: 0.403740 / Test error: 0.362297 / Layer sizes: 10 1 Training error: 0.380179 / Test error: 0.353570 / Layer sizes: 10 3 1 Training error: 0.380106 / Test error: 0.350255 / Layer sizes: 10 3 1 Training error: 0.370599 / Test error: 0.339965 / Layer sizes: 10 1 Training error: 0.320016 / Test error: 0.327305 / Layer sizes: 10 10 1 Training error: 0.314751 / Test error: 0.324281 / Layer sizes: 10 1 Training error: 0.306872 / Test error: 0.321268 / Layer sizes: 10 1 Training error: 0.306718 / Test error: 0.320442 / Layer sizes: 10 1 Training error: 0.289518 / Test error: 0.314089 / Layer sizes: 10 3 1 Training error: 0.287381 / Test error: 0.308257 / Layer sizes: 10 3 1 Training error: 0.205361 / Test error: 0.305531 / Layer sizes: 10 7 1 Training error: 0.272519 / Test error: 0.303542 / Layer sizes: 10 3 1 Training error: 0.192095 / Test error: 0.298572 / Layer sizes: 10 7 1 Training error: 0.184159 / Test error: 0.287201 / Layer sizes: 10 7 1 Training error: 0.239687 / Test error: 0.286957 / Layer sizes: 10 3 1 Training error: 0.142653 / Test error: 0.282507 / Layer sizes: 10 7 1 Training error: 0.116875 / Test error: 0.278447 / Layer sizes: 10 7 1 Training error: 0.115013 / Test error: 0.275040 / Layer sizes: 10 7 1 Training error: 0.094769 / Test error: 0.266176 / Layer sizes: 10 7 1 Training error: 0.094110 / Test error: 0.266100 / Layer sizes: 10 7 1 Training error: 0.093464 / Test error: 0.259638 / Layer sizes: 10 7 1 Training error: 0.092153 / Test error: 0.252371 / Layer sizes: 10 7 1 Training error: 0.091517 / Test error: 0.248055 / Layer sizes: 10 7 1 Training error: 0.123700 / Test error: 0.245690 / Layer sizes: 10 9 4 1 Training error: 0.122009 / Test error: 0.237542 / Layer sizes: 10 9 4 1 Training error: 0.056264 / Test error: 0.231863 / Layer sizes: 10 9 4 1 Training error: 0.056218 / Test error: 0.222923 / Layer sizes: 10 9 4 1 Training error: 0.056166 / Test error: 0.217184 / Layer sizes: 10 9 4 1 Training error: 0.056025 / Test error: 0.217038 / Layer sizes: 10 9 4 1 Training error: 0.054539 / Test error: 0.213866 / Layer sizes: 10 9 4 1 Training error: 0.054453 / Test error: 0.212786 / Layer sizes: 10 9 4 1 Training error: 0.054223 / Test error: 0.210946 / Layer sizes: 10 9 4 1 Training error: 0.053888 / Test error: 0.207040 / Layer sizes: 10 9 4 1 Training error: 0.053619 / Test error: 0.193216 / Layer sizes: 10 9 4 1 Training error: 0.053471 / Test error: 0.189300 / Layer sizes: 10 9 4 1 Training error: 0.053265 / Test error: 0.180504 / Layer sizes: 10 9 4 1 Training error: 0.052694 / Test error: 0.174571 / Layer sizes: 10 9 4 1 Training error: 0.051536 / Test error: 0.172901 / Layer sizes: 10 9 4 1 Training error: 0.002713 / Test error: 0.164892 / Layer sizes: 10 9 4 1 Training error: 0.002557 / Test error: 0.162308 / Layer sizes: 10 9 4 1 Training error: 0.002543 / Test error: 0.157384 / Layer sizes: 10 9 4 1 Training error: 0.000170 / Test error: 0.123769 / Layer sizes: 10 9 4 1 Training error: 0.000168 / Test error: 0.123562 / Layer sizes: 10 9 4 1 Training error: 0.000003 / Test error: 0.083189 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.041664 / 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 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 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 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 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 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 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 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 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 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. 87.16 % correct. 12.84 % wrong. Limit: 17.59 %. 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.70242 + 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.et49VY 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.gzUCMY 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_2.4), 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.z7tRIV 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.NiYmiX find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.7aDQOX 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) 91.44user 0.45system 1:36.45elapsed 95%CPU (0avgtext+0avgdata 36344maxresident)k 0inputs+0outputs (0major+145561minor)pagefaults 0swaps 97.18user 3.20system 1:44.75elapsed 95%CPU (0avgtext+0avgdata 107476maxresident)k 1024inputs+0outputs (0major+463189minor)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 2021-06-22 12:50:30.389439851 +0000 @@ -7,2 +7,3 @@ Requires: libc.so.6(GLIBC_2.1) +Requires: libc.so.6(GLIBC_2.1.3) Requires: libc.so.6(GLIBC_2.3.4) @@ -11,2 +12,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)