<86>Mar 19 08:39:22 userdel[5101]: delete user 'rooter' <86>Mar 19 08:39:22 userdel[5101]: removed group 'rooter' owned by 'rooter' <86>Mar 19 08:39:22 userdel[5101]: removed shadow group 'rooter' owned by 'rooter' <86>Mar 19 08:39:22 groupadd[5148]: group added to /etc/group: name=rooter, GID=585 <86>Mar 19 08:39:22 groupadd[5148]: group added to /etc/gshadow: name=rooter <86>Mar 19 08:39:22 groupadd[5148]: new group: name=rooter, GID=585 <86>Mar 19 08:39:22 useradd[5181]: new user: name=rooter, UID=585, GID=585, home=/root, shell=/bin/bash <86>Mar 19 08:39:22 userdel[5243]: delete user 'builder' <86>Mar 19 08:39:22 userdel[5243]: removed group 'builder' owned by 'builder' <86>Mar 19 08:39:22 userdel[5243]: removed shadow group 'builder' owned by 'builder' <86>Mar 19 08:39:22 groupadd[5281]: group added to /etc/group: name=builder, GID=586 <86>Mar 19 08:39:22 groupadd[5281]: group added to /etc/gshadow: name=builder <86>Mar 19 08:39:22 groupadd[5281]: new group: name=builder, GID=586 <86>Mar 19 08:39:22 useradd[5311]: new user: name=builder, UID=586, GID=586, home=/usr/src, shell=/bin/bash <13>Mar 19 08:39:25 rpmi: libruby-2.5.4-alt3 sisyphus+220149.50.44.1 1552160041 installed <13>Mar 19 08:39:25 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Mar 19 08:39:26 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed <13>Mar 19 08:39:26 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Mar 19 08:39:26 rpmi: libyaml2-0.2.1-alt1 sisyphus+222676.100.1.1 1550991397 installed <13>Mar 19 08:39:26 rpmi: rpm-macros-alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 19 08:39:26 rpmi: alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 19 08:39:26 rpmi: ca-certificates-2019.02.01-alt1 sisyphus+220384.200.1.1 1549032756 installed <13>Mar 19 08:39:26 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Mar 19 08:39:26 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed <13>Mar 19 08:39:26 rpmi: libcrypto1.1-1.1.0j-alt2 sisyphus+223638.100.2.1 1551791072 installed <13>Mar 19 08:39:26 rpmi: libssl1.1-1.1.0j-alt2 sisyphus+223638.100.2.1 1551791072 installed <13>Mar 19 08:39:26 rpmi: ruby-rubygems-update-3.0.1-alt1 sisyphus+218713.1100.2.1 1547736306 installed <13>Mar 19 08:39:26 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>Mar 19 08:39:26 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Mar 19 08:39:26 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Mar 19 08:39:26 rpmi: gem-power-assert-1.1.3-alt1 sisyphus+219345.3200.8.1 1547631761 installed <13>Mar 19 08:39:26 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Mar 19 08:39:26 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Mar 19 08:39:26 rpmi: ruby-test-unit-1:3.2.9-alt1 sisyphus+219345.3100.8.1 1547631703 installed <13>Mar 19 08:39:26 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Mar 19 08:39:26 rpmi: gem-2.5.4-alt3 sisyphus+220149.50.44.1 1552160010 installed <13>Mar 19 08:39:26 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 19 08:39:26 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 19 08:39:26 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 19 08:39:26 rpmi: ruby-stdlibs-2.5.4-alt3 sisyphus+220149.50.44.1 1552160041 installed <13>Mar 19 08:39:26 rpmi: erb-2.5.4-alt3 sisyphus+220149.50.44.1 1552160010 installed <13>Mar 19 08:39:26 rpmi: irb-2.5.4-alt3 sisyphus+220149.50.44.1 1552160010 installed <13>Mar 19 08:39:26 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Mar 19 08:39:26 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Mar 19 08:39:26 rpmi: ruby-2.5.4-alt3 sisyphus+220149.50.44.1 1552160041 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.55440 + 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.55440 + 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] 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] 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] double *continuous_input_stats; ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:107: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 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] if (continuous_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (binary_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (continuous_input_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 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.92637 + 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.95580 + 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: 0.997243 / Test error: 0.987966 / Layer sizes: 10 1 Training error: 0.996778 / Test error: 0.984100 / Layer sizes: 10 10 10 1 Training error: 0.996730 / Test error: 0.982333 / Layer sizes: 10 10 10 1 Training error: 0.996279 / Test error: 0.981606 / Layer sizes: 10 10 10 1 Training error: 0.994926 / Test error: 0.973498 / Layer sizes: 10 10 10 1 Training error: 0.994828 / Test error: 0.971852 / Layer sizes: 10 10 10 1 Training error: 0.993239 / Test error: 0.964745 / Layer sizes: 10 10 10 1 Training error: 0.995961 / Test error: 0.964640 / Layer sizes: 10 9 4 1 Training error: 0.992005 / Test error: 0.962207 / Layer sizes: 10 10 10 1 Training error: 0.991315 / Test error: 0.961975 / Layer sizes: 10 9 4 1 Training error: 0.860030 / Test error: 0.944772 / Layer sizes: 10 1 Training error: 0.970026 / Test error: 0.936588 / Layer sizes: 10 3 1 Training error: 0.845510 / Test error: 0.931193 / Layer sizes: 10 1 Training error: 0.826320 / Test error: 0.917890 / Layer sizes: 10 1 Training error: 0.797869 / Test error: 0.915502 / Layer sizes: 10 1 Training error: 0.906952 / Test error: 0.903326 / Layer sizes: 10 7 1 Training error: 0.786262 / Test error: 0.881832 / Layer sizes: 10 1 Training error: 0.774899 / Test error: 0.871355 / Layer sizes: 10 1 Training error: 0.765778 / Test error: 0.837694 / Layer sizes: 10 1 Training error: 0.752798 / Test error: 0.824158 / Layer sizes: 10 1 Training error: 0.743001 / Test error: 0.808407 / Layer sizes: 10 1 Training error: 0.733219 / Test error: 0.799810 / Layer sizes: 10 1 Training error: 0.722436 / Test error: 0.779961 / Layer sizes: 10 1 Training error: 0.714169 / Test error: 0.745250 / Layer sizes: 10 1 Training error: 0.705135 / Test error: 0.739251 / Layer sizes: 10 1 Training error: 0.684217 / Test error: 0.725589 / Layer sizes: 10 1 Training error: 0.665296 / Test error: 0.717285 / Layer sizes: 10 1 Training error: 0.647974 / Test error: 0.700167 / Layer sizes: 10 1 Training error: 0.639293 / Test error: 0.682871 / Layer sizes: 10 1 Training error: 0.636822 / Test error: 0.681842 / Layer sizes: 10 1 Training error: 0.635015 / Test error: 0.672148 / Layer sizes: 10 1 Training error: 0.605947 / Test error: 0.669758 / Layer sizes: 10 1 Training error: 0.600475 / Test error: 0.649058 / Layer sizes: 10 1 Training error: 0.562591 / Test error: 0.620983 / Layer sizes: 10 1 Training error: 0.546451 / Test error: 0.608449 / Layer sizes: 10 1 Training error: 0.515041 / Test error: 0.606847 / Layer sizes: 10 1 Training error: 0.501785 / Test error: 0.602998 / Layer sizes: 10 1 Training error: 0.491700 / Test error: 0.597658 / Layer sizes: 10 1 Training error: 0.486799 / Test error: 0.580116 / Layer sizes: 10 1 Training error: 0.470727 / Test error: 0.571698 / Layer sizes: 10 1 Training error: 0.463220 / Test error: 0.554674 / Layer sizes: 10 1 Training error: 0.454607 / Test error: 0.539183 / Layer sizes: 10 1 Training error: 0.448848 / Test error: 0.529426 / Layer sizes: 10 1 Training error: 0.433580 / Test error: 0.517586 / Layer sizes: 10 1 Training error: 0.429930 / Test error: 0.506789 / Layer sizes: 10 1 Training error: 0.429381 / Test error: 0.501723 / Layer sizes: 10 1 Training error: 0.425513 / Test error: 0.495169 / Layer sizes: 10 1 Training error: 0.420603 / Test error: 0.487625 / Layer sizes: 10 1 Training error: 0.418863 / Test error: 0.463528 / Layer sizes: 10 1 Training error: 0.395559 / Test error: 0.460339 / Layer sizes: 10 1 Training error: 0.387120 / Test error: 0.457584 / Layer sizes: 10 1 Training error: 0.384593 / Test error: 0.448216 / Layer sizes: 10 1 Training error: 0.381948 / Test error: 0.445637 / Layer sizes: 10 1 Training error: 0.375535 / Test error: 0.437004 / Layer sizes: 10 1 Training error: 0.367496 / Test error: 0.431452 / Layer sizes: 10 1 Training error: 0.361857 / Test error: 0.422124 / Layer sizes: 10 1 Training error: 0.361798 / Test error: 0.419268 / Layer sizes: 10 1 Training error: 0.359002 / Test error: 0.416690 / Layer sizes: 10 1 Training error: 0.356493 / Test error: 0.409407 / Layer sizes: 10 1 Training error: 0.355740 / Test error: 0.403262 / Layer sizes: 10 1 Training error: 0.349165 / Test error: 0.400892 / Layer sizes: 10 1 Training error: 0.341942 / Test error: 0.400346 / Layer sizes: 10 1 Training error: 0.334058 / Test error: 0.397547 / Layer sizes: 10 1 Training error: 0.317387 / Test error: 0.396968 / Layer sizes: 10 1 Training error: 0.310495 / Test error: 0.390297 / Layer sizes: 10 1 Training error: 0.322139 / Test error: 0.388938 / Layer sizes: 10 9 4 1 Training error: 0.303797 / Test error: 0.388258 / Layer sizes: 10 1 Training error: 0.303161 / Test error: 0.381838 / Layer sizes: 10 1 Training error: 0.300652 / Test error: 0.376620 / Layer sizes: 10 1 Training error: 0.303465 / Test error: 0.375661 / Layer sizes: 10 9 4 1 Training error: 0.297941 / Test error: 0.373905 / Layer sizes: 10 1 Training error: 0.296233 / Test error: 0.370700 / Layer sizes: 10 1 Training error: 0.295893 / Test error: 0.370187 / Layer sizes: 10 1 Training error: 0.287790 / Test error: 0.364269 / Layer sizes: 10 9 4 1 Training error: 0.316189 / Test error: 0.360286 / Layer sizes: 10 3 1 Training error: 0.281777 / Test error: 0.359623 / Layer sizes: 10 9 4 1 Training error: 0.275973 / Test error: 0.354276 / Layer sizes: 10 9 4 1 Training error: 0.271571 / Test error: 0.349156 / Layer sizes: 10 9 4 1 Training error: 0.263335 / Test error: 0.347294 / Layer sizes: 10 3 1 Training error: 0.256782 / Test error: 0.338389 / Layer sizes: 10 3 1 Training error: 0.245929 / Test error: 0.331450 / Layer sizes: 10 3 1 Training error: 0.223824 / Test error: 0.330305 / Layer sizes: 10 3 1 Training error: 0.239096 / Test error: 0.327422 / Layer sizes: 10 10 1 Training error: 0.208409 / Test error: 0.319476 / Layer sizes: 10 3 1 Training error: 0.213918 / Test error: 0.318685 / Layer sizes: 10 10 1 Training error: 0.213703 / Test error: 0.311133 / Layer sizes: 10 10 1 Training error: 0.179459 / Test error: 0.308792 / Layer sizes: 10 10 10 1 Training error: 0.175900 / Test error: 0.303740 / Layer sizes: 10 10 10 1 Training error: 0.174733 / Test error: 0.302148 / Layer sizes: 10 10 10 1 Training error: 0.173814 / Test error: 0.292072 / Layer sizes: 10 10 10 1 Training error: 0.173384 / Test error: 0.285533 / Layer sizes: 10 10 10 1 Training error: 0.186128 / Test error: 0.279249 / Layer sizes: 10 3 1 Training error: 0.185970 / Test error: 0.278139 / Layer sizes: 10 3 1 Training error: 0.185714 / Test error: 0.273747 / Layer sizes: 10 3 1 Training error: 0.185135 / Test error: 0.268048 / Layer sizes: 10 3 1 Training error: 0.184032 / Test error: 0.264282 / Layer sizes: 10 3 1 Training error: 0.180532 / Test error: 0.258778 / Layer sizes: 10 3 1 Training error: 0.180089 / Test error: 0.257131 / Layer sizes: 10 3 1 Training error: 0.180058 / Test error: 0.256186 / Layer sizes: 10 3 1 Training error: 0.179928 / Test error: 0.255742 / Layer sizes: 10 3 1 Training error: 0.179831 / Test error: 0.254637 / Layer sizes: 10 3 1 Training error: 0.179754 / Test error: 0.253050 / Layer sizes: 10 3 1 Training error: 0.179724 / Test error: 0.252183 / Layer sizes: 10 3 1 Training error: 0.175852 / Test error: 0.251255 / Layer sizes: 10 3 1 Training error: 0.175781 / Test error: 0.249997 / Layer sizes: 10 3 1 Training error: 0.135961 / Test error: 0.247989 / Layer sizes: 10 9 4 1 Training error: 0.135791 / Test error: 0.242946 / Layer sizes: 10 9 4 1 Training error: 0.134844 / Test error: 0.241012 / Layer sizes: 10 9 4 1 Training error: 0.122376 / Test error: 0.236191 / Layer sizes: 10 9 4 1 Training error: 0.122341 / Test error: 0.231382 / Layer sizes: 10 9 4 1 Training error: 0.122253 / Test error: 0.227779 / Layer sizes: 10 9 4 1 Training error: 0.122185 / Test error: 0.227596 / Layer sizes: 10 9 4 1 Training error: 0.122156 / Test error: 0.224237 / Layer sizes: 10 9 4 1 Training error: 0.122110 / Test error: 0.223438 / Layer sizes: 10 9 4 1 Training error: 0.120653 / Test error: 0.222304 / Layer sizes: 10 9 4 1 Training error: 0.120428 / Test error: 0.216655 / Layer sizes: 10 9 4 1 Training error: 0.120367 / Test error: 0.214866 / Layer sizes: 10 9 4 1 Training error: 0.120110 / Test error: 0.212577 / Layer sizes: 10 9 4 1 Training error: 0.120052 / Test error: 0.207083 / Layer sizes: 10 9 4 1 Training error: 0.119974 / Test error: 0.201747 / Layer sizes: 10 9 4 1 Training error: 0.007639 / Test error: 0.200152 / Layer sizes: 10 9 4 1 Training error: 0.007397 / Test error: 0.197284 / Layer sizes: 10 9 4 1 Training error: 0.006788 / Test error: 0.196471 / Layer sizes: 10 9 4 1 Training error: 0.006734 / Test error: 0.195937 / Layer sizes: 10 9 4 1 Training error: 0.005434 / Test error: 0.194107 / Layer sizes: 10 9 4 1 Training error: 0.005385 / Test error: 0.193289 / Layer sizes: 10 9 4 1 Training error: 0.005319 / Test error: 0.192782 / Layer sizes: 10 9 4 1 Training error: 0.005318 / Test error: 0.188613 / Layer sizes: 10 9 4 1 Training error: 0.005265 / Test error: 0.184535 / Layer sizes: 10 9 4 1 Training error: 0.005173 / Test error: 0.184211 / Layer sizes: 10 9 4 1 Training error: 0.005161 / Test error: 0.177521 / Layer sizes: 10 9 4 1 Training error: 0.005160 / Test error: 0.174772 / Layer sizes: 10 9 4 1 Training error: 0.005064 / Test error: 0.162735 / Layer sizes: 10 9 4 1 Training error: 0.004906 / Test error: 0.161079 / Layer sizes: 10 9 4 1 Training error: 0.010280 / Test error: 0.156465 / Layer sizes: 10 3 3 1 Training error: 0.010216 / Test error: 0.150195 / Layer sizes: 10 3 3 1 Training error: 0.009627 / Test error: 0.142821 / Layer sizes: 10 3 3 1 Training error: 0.009474 / Test error: 0.139308 / Layer sizes: 10 3 3 1 Training error: 0.009336 / Test error: 0.138882 / Layer sizes: 10 3 3 1 Training error: 0.009277 / Test error: 0.138709 / Layer sizes: 10 3 3 1 Training error: 0.009237 / Test error: 0.137009 / Layer sizes: 10 3 3 1 Training error: 0.009101 / Test error: 0.136712 / Layer sizes: 10 3 3 1 Training error: 0.000432 / Test error: 0.084736 / Layer sizes: 10 3 3 1 Training error: 0.000420 / Test error: 0.083007 / Layer sizes: 10 3 3 1 Training error: 0.000108 / Test error: 0.076969 / Layer sizes: 10 3 3 1 Training error: 0.000097 / Test error: 0.041528 / 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. 88.89 % correct. 11.11 % wrong. Limit: 17.37 %. 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.98937 + 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.qJ0d69 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.mFfoTw find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) 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), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.VSVe5o 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.41di7O find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Ymh1yK 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 74.48user 1.00system 1:41.77elapsed 74%CPU (0avgtext+0avgdata 37228maxresident)k 0inputs+0outputs (0major+163608minor)pagefaults 0swaps 89.32user 7.34system 2:03.04elapsed 78%CPU (0avgtext+0avgdata 119676maxresident)k 9376inputs+0outputs (0major+613587minor)pagefaults 0swaps