<86>May 15 13:18:51 userdel[3816505]: delete user 'rooter' <86>May 15 13:18:51 userdel[3816505]: removed group 'rooter' owned by 'rooter' <86>May 15 13:18:51 userdel[3816505]: removed shadow group 'rooter' owned by 'rooter' <86>May 15 13:18:51 groupadd[3816510]: group added to /etc/group: name=rooter, GID=690 <86>May 15 13:18:51 groupadd[3816510]: group added to /etc/gshadow: name=rooter <86>May 15 13:18:51 groupadd[3816510]: new group: name=rooter, GID=690 <86>May 15 13:18:51 useradd[3816516]: new user: name=rooter, UID=690, GID=690, home=/root, shell=/bin/bash <86>May 15 13:18:51 userdel[3816524]: delete user 'builder' <86>May 15 13:18:51 userdel[3816524]: removed group 'builder' owned by 'builder' <86>May 15 13:18:51 userdel[3816524]: removed shadow group 'builder' owned by 'builder' <86>May 15 13:18:51 groupadd[3816530]: group added to /etc/group: name=builder, GID=691 <86>May 15 13:18:51 groupadd[3816530]: group added to /etc/gshadow: name=builder <86>May 15 13:18:51 groupadd[3816530]: new group: name=builder, GID=691 <86>May 15 13:18:51 useradd[3816535]: new user: name=builder, UID=691, GID=691, home=/usr/src, shell=/bin/bash <13>May 15 13:18:56 rpmi: libruby-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227211 installed <13>May 15 13:18:56 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>May 15 13:18:56 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>May 15 13:18:56 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 15 13:18:56 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>May 15 13:18:56 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 15 13:18:56 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 15 13:18:56 rpmi: ca-certificates-2021.03.24-alt1 sisyphus+268304.300.1.1 1616591829 installed <13>May 15 13:18:56 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>May 15 13:18:56 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>May 15 13:18:56 rpmi: libcrypto1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>May 15 13:18:56 rpmi: libssl1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>May 15 13:18:56 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>May 15 13:18:56 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 15 13:18:56 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 15 13:18:56 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 15 13:18:56 rpmi: gem-2:3.1.2-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>May 15 13:18:56 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 15 13:18:56 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 15 13:18:56 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 15 13:18:56 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 15 13:18:56 rpmi: erb-0:2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>May 15 13:18:56 rpmi: irb-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227151 installed <13>May 15 13:18:56 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>May 15 13:18:56 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>May 15 13:18:56 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 15 13:18:58 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 15 13:18:58 rpmi: ruby-2.7.3-alt1.3 sisyphus+270592.200.2.1 1619227211 installed <13>May 15 13:18:59 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.78524 + 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/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + 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.78524 + 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.75215 + 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.12308 + 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: 0.996920 / Test error: 0.997425 / Layer sizes: 10 7 1 Training error: 0.995395 / Test error: 0.996228 / Layer sizes: 10 9 4 1 Training error: 0.975659 / Test error: 0.980211 / Layer sizes: 10 10 10 1 Training error: 0.964598 / Test error: 0.971332 / Layer sizes: 10 10 10 1 Training error: 0.957441 / Test error: 0.965802 / Layer sizes: 10 10 10 1 Training error: 0.956232 / Test error: 0.964954 / Layer sizes: 10 10 10 1 Training error: 0.946783 / Test error: 0.957933 / Layer sizes: 10 10 10 1 Training error: 0.935642 / Test error: 0.949187 / Layer sizes: 10 10 10 1 Training error: 0.919852 / Test error: 0.937031 / Layer sizes: 10 10 10 1 Training error: 0.917249 / Test error: 0.935160 / Layer sizes: 10 10 10 1 Training error: 0.915412 / Test error: 0.926377 / Layer sizes: 10 10 1 Training error: 0.901937 / Test error: 0.912445 / Layer sizes: 10 10 1 Training error: 0.890390 / Test error: 0.901618 / Layer sizes: 10 1 Training error: 0.852534 / Test error: 0.865610 / Layer sizes: 10 1 Training error: 0.827329 / Test error: 0.826303 / Layer sizes: 10 1 Training error: 0.814373 / Test error: 0.813605 / Layer sizes: 10 1 Training error: 0.804262 / Test error: 0.803291 / Layer sizes: 10 1 Training error: 0.786409 / Test error: 0.788518 / Layer sizes: 10 1 Training error: 0.766030 / Test error: 0.783779 / Layer sizes: 10 1 Training error: 0.749272 / Test error: 0.781811 / Layer sizes: 10 1 Training error: 0.715885 / Test error: 0.745093 / Layer sizes: 10 1 Training error: 0.700947 / Test error: 0.743944 / Layer sizes: 10 1 Training error: 0.693324 / Test error: 0.734238 / Layer sizes: 10 1 Training error: 0.686195 / Test error: 0.727730 / Layer sizes: 10 1 Training error: 0.677947 / Test error: 0.699798 / Layer sizes: 10 1 Training error: 0.677862 / Test error: 0.693733 / Layer sizes: 10 1 Training error: 0.655383 / Test error: 0.676234 / Layer sizes: 10 1 Training error: 0.644318 / Test error: 0.662569 / Layer sizes: 10 1 Training error: 0.622723 / Test error: 0.645414 / Layer sizes: 10 1 Training error: 0.600833 / Test error: 0.621686 / Layer sizes: 10 1 Training error: 0.584410 / Test error: 0.601270 / Layer sizes: 10 1 Training error: 0.579133 / Test error: 0.593299 / Layer sizes: 10 1 Training error: 0.566242 / Test error: 0.589966 / Layer sizes: 10 1 Training error: 0.551440 / Test error: 0.586652 / Layer sizes: 10 1 Training error: 0.543879 / Test error: 0.581115 / Layer sizes: 10 1 Training error: 0.528404 / Test error: 0.559589 / Layer sizes: 10 1 Training error: 0.516212 / Test error: 0.547366 / Layer sizes: 10 1 Training error: 0.515112 / Test error: 0.546901 / Layer sizes: 10 1 Training error: 0.480365 / Test error: 0.532706 / Layer sizes: 10 1 Training error: 0.473527 / Test error: 0.531087 / Layer sizes: 10 1 Training error: 0.468675 / Test error: 0.525112 / Layer sizes: 10 1 Training error: 0.468626 / Test error: 0.518348 / Layer sizes: 10 1 Training error: 0.459664 / Test error: 0.516115 / Layer sizes: 10 1 Training error: 0.454942 / Test error: 0.516053 / Layer sizes: 10 1 Training error: 0.449238 / Test error: 0.502953 / Layer sizes: 10 1 Training error: 0.443520 / Test error: 0.501446 / Layer sizes: 10 1 Training error: 0.442146 / Test error: 0.499189 / Layer sizes: 10 1 Training error: 0.435824 / Test error: 0.497557 / Layer sizes: 10 1 Training error: 0.433147 / Test error: 0.496847 / Layer sizes: 10 1 Training error: 0.423688 / Test error: 0.496483 / Layer sizes: 10 1 Training error: 0.406224 / Test error: 0.496332 / Layer sizes: 10 1 Training error: 0.400244 / Test error: 0.489375 / Layer sizes: 10 1 Training error: 0.396900 / Test error: 0.486442 / Layer sizes: 10 1 Training error: 0.392958 / Test error: 0.472101 / Layer sizes: 10 1 Training error: 0.390100 / Test error: 0.469261 / Layer sizes: 10 1 Training error: 0.389237 / Test error: 0.464906 / Layer sizes: 10 1 Training error: 0.378177 / Test error: 0.461650 / Layer sizes: 10 1 Training error: 0.377491 / Test error: 0.450187 / Layer sizes: 10 1 Training error: 0.371506 / Test error: 0.449174 / Layer sizes: 10 1 Training error: 0.369309 / Test error: 0.447585 / Layer sizes: 10 1 Training error: 0.368940 / Test error: 0.442813 / Layer sizes: 10 1 Training error: 0.367861 / Test error: 0.439427 / Layer sizes: 10 1 Training error: 0.363188 / Test error: 0.433142 / Layer sizes: 10 1 Training error: 0.356991 / Test error: 0.429927 / Layer sizes: 10 1 Training error: 0.349002 / Test error: 0.427502 / Layer sizes: 10 1 Training error: 0.346283 / Test error: 0.419534 / Layer sizes: 10 1 Training error: 0.345782 / Test error: 0.417229 / Layer sizes: 10 1 Training error: 0.306857 / Test error: 0.402535 / Layer sizes: 10 7 1 Training error: 0.299082 / Test error: 0.400387 / Layer sizes: 10 7 1 Training error: 0.295816 / Test error: 0.397343 / Layer sizes: 10 7 1 Training error: 0.295126 / Test error: 0.396882 / Layer sizes: 10 7 1 Training error: 0.291479 / Test error: 0.391567 / Layer sizes: 10 7 1 Training error: 0.260463 / Test error: 0.375810 / Layer sizes: 10 7 1 Training error: 0.228228 / Test error: 0.367685 / Layer sizes: 10 10 1 Training error: 0.222778 / Test error: 0.361137 / Layer sizes: 10 10 1 Training error: 0.219452 / Test error: 0.359758 / Layer sizes: 10 10 1 Training error: 0.218419 / Test error: 0.353264 / Layer sizes: 10 10 1 Training error: 0.202390 / Test error: 0.350834 / Layer sizes: 10 10 1 Training error: 0.195327 / Test error: 0.339121 / Layer sizes: 10 10 1 Training error: 0.188941 / Test error: 0.334022 / Layer sizes: 10 10 1 Training error: 0.184638 / Test error: 0.326886 / Layer sizes: 10 10 1 Training error: 0.182630 / Test error: 0.322380 / Layer sizes: 10 10 1 Training error: 0.165712 / Test error: 0.321448 / Layer sizes: 10 10 1 Training error: 0.144232 / Test error: 0.319001 / Layer sizes: 10 10 1 Training error: 0.142653 / Test error: 0.314428 / Layer sizes: 10 10 1 Training error: 0.140630 / Test error: 0.311734 / Layer sizes: 10 10 1 Training error: 0.140232 / Test error: 0.306726 / Layer sizes: 10 10 1 Training error: 0.123613 / Test error: 0.306663 / Layer sizes: 10 10 1 Training error: 0.122820 / Test error: 0.301981 / Layer sizes: 10 10 1 Training error: 0.118410 / Test error: 0.297451 / Layer sizes: 10 10 1 Training error: 0.103255 / Test error: 0.295522 / Layer sizes: 10 10 1 Training error: 0.103035 / Test error: 0.288883 / Layer sizes: 10 10 1 Training error: 0.102024 / Test error: 0.284345 / Layer sizes: 10 10 1 Training error: 0.096273 / Test error: 0.280385 / Layer sizes: 10 10 1 Training error: 0.093099 / Test error: 0.271157 / Layer sizes: 10 10 1 Training error: 0.088756 / Test error: 0.265057 / Layer sizes: 10 10 1 Training error: 0.078733 / Test error: 0.263711 / Layer sizes: 10 10 1 Training error: 0.078169 / Test error: 0.256576 / Layer sizes: 10 10 1 Training error: 0.073265 / Test error: 0.256523 / Layer sizes: 10 10 1 Training error: 0.072343 / Test error: 0.249079 / Layer sizes: 10 10 1 Training error: 0.068874 / Test error: 0.245257 / Layer sizes: 10 10 1 Training error: 0.068391 / Test error: 0.243315 / Layer sizes: 10 10 1 Training error: 0.051078 / Test error: 0.235505 / Layer sizes: 10 10 1 Training error: 0.050313 / Test error: 0.232977 / Layer sizes: 10 10 1 Training error: 0.046361 / Test error: 0.230674 / Layer sizes: 10 10 1 Training error: 0.038507 / Test error: 0.224888 / Layer sizes: 10 10 1 Training error: 0.037850 / Test error: 0.221276 / Layer sizes: 10 10 1 Training error: 0.002489 / Test error: 0.217470 / Layer sizes: 10 10 10 1 Training error: 0.002402 / Test error: 0.201407 / Layer sizes: 10 10 10 1 Training error: 0.001549 / Test error: 0.187908 / Layer sizes: 10 10 10 1 Training error: 0.001514 / Test error: 0.183065 / Layer sizes: 10 10 10 1 Training error: 0.001505 / Test error: 0.164849 / Layer sizes: 10 10 10 1 Training error: 0.001495 / Test error: 0.162815 / Layer sizes: 10 10 10 1 Training error: 0.001482 / Test error: 0.160314 / Layer sizes: 10 10 10 1 Training error: 0.001444 / Test error: 0.160164 / Layer sizes: 10 10 10 1 Training error: 0.001429 / Test error: 0.159865 / Layer sizes: 10 10 10 1 Training error: 0.001414 / Test error: 0.159736 / Layer sizes: 10 10 10 1 Training error: 0.001390 / Test error: 0.159010 / Layer sizes: 10 10 10 1 Training error: 0.001364 / Test error: 0.158210 / Layer sizes: 10 10 10 1 Training error: 0.001327 / Test error: 0.156341 / Layer sizes: 10 10 10 1 Training error: 0.000051 / Test error: 0.124163 / Layer sizes: 10 10 10 1 Training error: 0.000028 / Test error: 0.121068 / Layer sizes: 10 10 10 1 Training error: 0.000027 / Test error: 0.087476 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.083333 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 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. 81.67 % correct. 18.33 % wrong. Limit: 17.37 %. Test failed, please try again. 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.30098 + 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.j7DGih 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.3Cy0qk 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.fcAJNg 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.91ojnj find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.izFGLk 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) 91.43user 0.43system 1:37.45elapsed 94%CPU (0avgtext+0avgdata 36320maxresident)k 0inputs+0outputs (0major+147486minor)pagefaults 0swaps 97.43user 3.16system 1:51.31elapsed 90%CPU (0avgtext+0avgdata 105516maxresident)k 42368inputs+0outputs (0major+465653minor)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 2021-05-15 13:20:40.683280718 +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)