<86>Aug 6 05:01:01 userdel[1874484]: delete user 'rooter' <86>Aug 6 05:01:01 userdel[1874484]: removed group 'rooter' owned by 'rooter' <86>Aug 6 05:01:01 userdel[1874484]: removed shadow group 'rooter' owned by 'rooter' <86>Aug 6 05:01:01 groupadd[1874489]: group added to /etc/group: name=rooter, GID=603 <86>Aug 6 05:01:01 groupadd[1874489]: group added to /etc/gshadow: name=rooter <86>Aug 6 05:01:01 groupadd[1874489]: new group: name=rooter, GID=603 <86>Aug 6 05:01:01 useradd[1874493]: new user: name=rooter, UID=603, GID=603, home=/root, shell=/bin/bash <86>Aug 6 05:01:01 userdel[1874500]: delete user 'builder' <86>Aug 6 05:01:01 userdel[1874500]: removed group 'builder' owned by 'builder' <86>Aug 6 05:01:01 userdel[1874500]: removed shadow group 'builder' owned by 'builder' <86>Aug 6 05:01:01 groupadd[1874505]: group added to /etc/group: name=builder, GID=604 <86>Aug 6 05:01:01 groupadd[1874505]: group added to /etc/gshadow: name=builder <86>Aug 6 05:01:01 groupadd[1874505]: new group: name=builder, GID=604 <86>Aug 6 05:01:01 useradd[1874509]: new user: name=builder, UID=604, GID=604, home=/usr/src, shell=/bin/bash <13>Aug 6 05:01:04 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 6 05:01:04 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274915 installed <13>Aug 6 05:01:04 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825069 installed <13>Aug 6 05:01:04 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Aug 6 05:01:04 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583136 installed <13>Aug 6 05:01:04 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 6 05:01:04 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 6 05:01:04 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Aug 6 05:01:04 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Aug 6 05:01:04 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274915 installed <13>Aug 6 05:01:05 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743567 installed <13>Aug 6 05:01:05 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743567 installed <13>Aug 6 05:01:05 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 6 05:01:05 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 6 05:01:05 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Aug 6 05:01:05 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Aug 6 05:01:05 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Aug 6 05:01:05 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 6 05:01:05 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 6 05:01:05 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Aug 6 05:01:05 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Aug 6 05:01:05 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 6 05:01:05 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 6 05:01:05 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 6 05:01:05 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 6 05:01:05 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 6 05:01:07 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 6 05:01:07 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 6 05:01:07 rpmi: ruby-stdlibs-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed Building target platforms: x86_64 Building for target x86_64 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: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.78284 + 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.78284 + 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' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -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:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 770 | int *continuous_input_cols; | ^~~~~~~~~~~~~~~~~~~~~ auto-nng.c:872:91: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 872 | for (i = 0; i < binary_input_count; i++) input_values[i] = values[binary_input_cols[i]]; | ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.5999 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.74886 + 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: 0.998852 / Test error: 1.006700 / Layer sizes: 10 3 1 Training error: 0.999747 / Test error: 0.999676 / Layer sizes: 10 7 1 Training error: 0.972565 / Test error: 0.959477 / Layer sizes: 10 1 Training error: 0.914331 / Test error: 0.917751 / Layer sizes: 10 1 Training error: 0.897992 / Test error: 0.906398 / Layer sizes: 10 1 Training error: 0.892563 / Test error: 0.899441 / Layer sizes: 10 1 Training error: 0.873112 / Test error: 0.893807 / Layer sizes: 10 1 Training error: 0.873023 / Test error: 0.882518 / Layer sizes: 10 1 Training error: 0.860831 / Test error: 0.850089 / Layer sizes: 10 1 Training error: 0.842184 / Test error: 0.831322 / Layer sizes: 10 1 Training error: 0.833037 / Test error: 0.820164 / Layer sizes: 10 1 Training error: 0.837023 / Test error: 0.794007 / Layer sizes: 10 10 1 Training error: 0.830560 / Test error: 0.786704 / Layer sizes: 10 10 1 Training error: 0.818190 / Test error: 0.771807 / Layer sizes: 10 10 1 Training error: 0.812699 / Test error: 0.763843 / Layer sizes: 10 10 1 Training error: 0.793448 / Test error: 0.744681 / Layer sizes: 10 10 1 Training error: 0.791809 / Test error: 0.741077 / Layer sizes: 10 10 1 Training error: 0.755708 / Test error: 0.741061 / Layer sizes: 10 1 Training error: 0.727267 / Test error: 0.708117 / Layer sizes: 10 1 Training error: 0.729685 / Test error: 0.701045 / Layer sizes: 10 10 1 Training error: 0.719232 / Test error: 0.678355 / Layer sizes: 10 1 Training error: 0.696428 / Test error: 0.655289 / Layer sizes: 10 1 Training error: 0.641253 / Test error: 0.648202 / Layer sizes: 10 1 Training error: 0.639108 / Test error: 0.634159 / Layer sizes: 10 1 Training error: 0.632691 / Test error: 0.622478 / Layer sizes: 10 1 Training error: 0.626751 / Test error: 0.622076 / Layer sizes: 10 1 Training error: 0.598042 / Test error: 0.621924 / Layer sizes: 10 1 Training error: 0.594780 / Test error: 0.620464 / Layer sizes: 10 1 Training error: 0.591943 / Test error: 0.607431 / Layer sizes: 10 1 Training error: 0.639394 / Test error: 0.607318 / Layer sizes: 10 10 1 Training error: 0.630327 / Test error: 0.592862 / Layer sizes: 10 10 1 Training error: 0.616137 / Test error: 0.579860 / Layer sizes: 10 10 1 Training error: 0.571662 / Test error: 0.576832 / Layer sizes: 10 1 Training error: 0.600430 / Test error: 0.562145 / Layer sizes: 10 10 1 Training error: 0.543308 / Test error: 0.558806 / Layer sizes: 10 10 1 Training error: 0.540379 / Test error: 0.536716 / Layer sizes: 10 10 1 Training error: 0.572320 / Test error: 0.532040 / Layer sizes: 10 7 1 Training error: 0.560930 / Test error: 0.527179 / Layer sizes: 10 7 1 Training error: 0.555509 / Test error: 0.525167 / Layer sizes: 10 7 1 Training error: 0.531414 / Test error: 0.502503 / Layer sizes: 10 7 1 Training error: 0.523811 / Test error: 0.494110 / Layer sizes: 10 7 1 Training error: 0.514852 / Test error: 0.493613 / Layer sizes: 10 7 1 Training error: 0.495886 / Test error: 0.488000 / Layer sizes: 10 10 10 1 Training error: 0.524829 / Test error: 0.477224 / Layer sizes: 10 9 4 1 Training error: 0.519537 / Test error: 0.462517 / Layer sizes: 10 9 4 1 Training error: 0.515458 / Test error: 0.458546 / Layer sizes: 10 9 4 1 Training error: 0.509632 / Test error: 0.458506 / Layer sizes: 10 9 4 1 Training error: 0.491936 / Test error: 0.442659 / Layer sizes: 10 9 4 1 Training error: 0.490099 / Test error: 0.439251 / Layer sizes: 10 9 4 1 Training error: 0.400574 / Test error: 0.434911 / Layer sizes: 10 7 1 Training error: 0.301989 / Test error: 0.429155 / Layer sizes: 10 7 1 Training error: 0.293838 / Test error: 0.427342 / Layer sizes: 10 7 1 Training error: 0.293761 / Test error: 0.411500 / Layer sizes: 10 7 1 Training error: 0.266107 / Test error: 0.406968 / Layer sizes: 10 7 1 Training error: 0.248510 / Test error: 0.395304 / Layer sizes: 10 7 1 Training error: 0.242720 / Test error: 0.365870 / Layer sizes: 10 7 1 Training error: 0.242537 / Test error: 0.361076 / Layer sizes: 10 7 1 Training error: 0.237501 / Test error: 0.358491 / Layer sizes: 10 7 1 Training error: 0.127387 / Test error: 0.358034 / Layer sizes: 10 10 1 Training error: 0.123005 / Test error: 0.357025 / Layer sizes: 10 7 1 Training error: 0.111487 / Test error: 0.355925 / Layer sizes: 10 10 1 Training error: 0.117567 / Test error: 0.340157 / Layer sizes: 10 7 1 Training error: 0.115685 / Test error: 0.335489 / Layer sizes: 10 7 1 Training error: 0.115598 / Test error: 0.320559 / Layer sizes: 10 7 1 Training error: 0.114147 / Test error: 0.311423 / Layer sizes: 10 7 1 Training error: 0.111252 / Test error: 0.310939 / Layer sizes: 10 7 1 Training error: 0.102311 / Test error: 0.310216 / Layer sizes: 10 7 1 Training error: 0.102285 / Test error: 0.302497 / Layer sizes: 10 7 1 Training error: 0.101750 / Test error: 0.296430 / Layer sizes: 10 7 1 Training error: 0.100608 / Test error: 0.294810 / Layer sizes: 10 7 1 Training error: 0.100405 / Test error: 0.276543 / Layer sizes: 10 7 1 Training error: 0.100139 / Test error: 0.270568 / Layer sizes: 10 7 1 Training error: 0.063517 / Test error: 0.269834 / Layer sizes: 10 7 1 Training error: 0.062416 / Test error: 0.268515 / Layer sizes: 10 7 1 Training error: 0.058930 / Test error: 0.265635 / Layer sizes: 10 7 1 Training error: 0.058469 / Test error: 0.261756 / Layer sizes: 10 7 1 Training error: 0.056773 / Test error: 0.257096 / Layer sizes: 10 7 1 Training error: 0.056451 / Test error: 0.250867 / Layer sizes: 10 7 1 Training error: 0.051112 / Test error: 0.245686 / Layer sizes: 10 7 1 Training error: 0.033566 / Test error: 0.240409 / Layer sizes: 10 10 1 Training error: 0.032883 / Test error: 0.232395 / Layer sizes: 10 10 1 Training error: 0.015097 / Test error: 0.231849 / Layer sizes: 10 10 1 Training error: 0.015051 / Test error: 0.226594 / Layer sizes: 10 10 1 Training error: 0.009926 / Test error: 0.221568 / Layer sizes: 10 10 1 Training error: 0.009911 / Test error: 0.215662 / Layer sizes: 10 10 1 Training error: 0.009781 / Test error: 0.215401 / Layer sizes: 10 10 1 Training error: 0.009767 / Test error: 0.211917 / Layer sizes: 10 10 1 Training error: 0.008675 / Test error: 0.198973 / Layer sizes: 10 10 1 Training error: 0.007241 / Test error: 0.198948 / Layer sizes: 10 10 1 Training error: 0.011123 / Test error: 0.191204 / Layer sizes: 10 3 1 Training error: 0.010863 / Test error: 0.179565 / Layer sizes: 10 3 1 Training error: 0.008496 / Test error: 0.173716 / Layer sizes: 10 3 1 Training error: 0.008178 / Test error: 0.149872 / Layer sizes: 10 3 1 Training error: 0.008160 / Test error: 0.148552 / Layer sizes: 10 3 1 Training error: 0.007970 / Test error: 0.140142 / Layer sizes: 10 3 1 Training error: 0.004072 / Test error: 0.133618 / Layer sizes: 10 3 1 Training error: 0.004014 / Test error: 0.130068 / Layer sizes: 10 3 1 Training error: 0.003880 / Test error: 0.127303 / Layer sizes: 10 3 1 Training error: 0.001543 / Test error: 0.110913 / Layer sizes: 10 3 1 Training error: 0.001012 / Test error: 0.103699 / Layer sizes: 10 3 1 Training error: 0.001010 / Test error: 0.045639 / Layer sizes: 10 3 1 Training error: 0.000979 / Test error: 0.043186 / Layer sizes: 10 3 1 Training error: 0.000007 / Test error: 0.041606 / Layer sizes: 10 3 3 1 Training error: 0.000006 / Test error: 0.041549 / Layer sizes: 10 3 3 1 Training error: 0.000006 / Test error: 0.041503 / 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 / 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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 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/ 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. 94.87 % correct. 5.13 % wrong. Limit: 17.79 %. 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.43878 + 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.qvxvO0 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.3cRgA3 find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) Requires: /lib64/ld-linux-x86-64.so.2, libc.so.6(GLIBC_2.14)(64bit), libc.so.6(GLIBC_2.2.5)(64bit), libc.so.6(GLIBC_2.3.4)(64bit), libc.so.6(GLIBC_2.4)(64bit), libm.so.6(GLIBC_2.2.5)(64bit), libm.so.6(GLIBC_2.29)(64bit), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.qAP9c2 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.oRFDKZ find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ccWJa1 find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib64/ld-linux-x86-64.so.2.debug, debug64(libc.so.6), debug64(libm.so.6) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-1.7-alt2_3.1.x86_64.rpm Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm 83.04user 1.38system 1:43.29elapsed 81%CPU (0avgtext+0avgdata 45296maxresident)k 0inputs+0outputs (0major+201450minor)pagefaults 0swaps 92.21user 7.88system 1:58.99elapsed 84%CPU (0avgtext+0avgdata 110700maxresident)k 0inputs+0outputs (0major+533627minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.x86_64.rpm.repo 2013-04-03 05:20:55.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.x86_64.rpm.hasher 2020-08-06 05:02:56.959781805 +0000 @@ -5,2 +5,3 @@ Requires: /lib64/ld-linux-x86-64.so.2 +Requires: libc.so.6(GLIBC_2.14)(64bit) Requires: libc.so.6(GLIBC_2.2.5)(64bit) @@ -9,2 +10,3 @@ Requires: libm.so.6(GLIBC_2.2.5)(64bit) +Requires: libm.so.6(GLIBC_2.29)(64bit) Requires: rtld(GNU_HASH)