<86>Jul 29 11:42:03 userdel[1618365]: delete user 'rooter' <86>Jul 29 11:42:03 userdel[1618365]: removed group 'rooter' owned by 'rooter' <86>Jul 29 11:42:03 userdel[1618365]: removed shadow group 'rooter' owned by 'rooter' <86>Jul 29 11:42:03 groupadd[1618371]: group added to /etc/group: name=rooter, GID=597 <86>Jul 29 11:42:03 groupadd[1618371]: group added to /etc/gshadow: name=rooter <86>Jul 29 11:42:03 groupadd[1618371]: new group: name=rooter, GID=597 <86>Jul 29 11:42:03 useradd[1618380]: new user: name=rooter, UID=597, GID=597, home=/root, shell=/bin/bash <86>Jul 29 11:42:03 userdel[1618399]: delete user 'builder' <86>Jul 29 11:42:03 userdel[1618399]: removed group 'builder' owned by 'builder' <86>Jul 29 11:42:03 userdel[1618399]: removed shadow group 'builder' owned by 'builder' <86>Jul 29 11:42:03 groupadd[1618413]: group added to /etc/group: name=builder, GID=598 <86>Jul 29 11:42:03 groupadd[1618413]: group added to /etc/gshadow: name=builder <86>Jul 29 11:42:03 groupadd[1618413]: new group: name=builder, GID=598 <86>Jul 29 11:42:03 useradd[1618423]: new user: name=builder, UID=598, GID=598, home=/usr/src, shell=/bin/bash <13>Jul 29 11:42:06 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Jul 29 11:42:06 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jul 29 11:42:06 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Jul 29 11:42:06 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jul 29 11:42:06 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Jul 29 11:42:06 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jul 29 11:42:06 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jul 29 11:42:06 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Jul 29 11:42:06 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Jul 29 11:42:06 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Jul 29 11:42:06 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Jul 29 11:42:06 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Jul 29 11:42:06 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Jul 29 11:42:06 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Jul 29 11:42:06 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Jul 29 11:42:06 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jul 29 11:42:06 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Jul 29 11:42:06 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jul 29 11:42:06 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Jul 29 11:42:06 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Jul 29 11:42:06 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jul 29 11:42:06 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 29 11:42:06 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 29 11:42:06 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 29 11:42:06 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Jul 29 11:42:06 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jul 29 11:42:08 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Jul 29 11:42:08 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Jul 29 11:42:09 rpmi: ruby-stdlibs-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 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.68808 + 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.23806 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make -j8 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm auto-nng.c: In function 'main_generate': auto-nng.c:681:54: warning: 'continuous_input_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 681 | for (i = 0; i < continuous_input_count; i++) printf("%f, %f\n", continuous_input_averages[i], continuous_input_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:681:54: warning: 'continuous_input_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c:686:11: warning: 'continuous_output_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] 686 | printf(DOUBLE_FORMAT ", " DOUBLE_FORMAT "\n", continuous_output_averages[i], continuous_output_stddevs[i]); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:686:11: warning: 'continuous_output_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c: In function 'main_run': auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 771 | double *continuous_input_stats; | ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:140: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 910 | printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]); | ^ auto-nng.c:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 904 | if (continuous_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 897 | if (binary_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 890 | if (continuous_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 883 | if (binary_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.36889 + 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.65449 + 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: 0.993695 / Test error: 1.009986 / Layer sizes: 10 1 Training error: 0.984488 / Test error: 0.988693 / Layer sizes: 10 7 1 Training error: 0.956644 / Test error: 0.952436 / Layer sizes: 10 1 Training error: 0.934949 / Test error: 0.945771 / Layer sizes: 10 1 Training error: 0.922640 / Test error: 0.929301 / Layer sizes: 10 1 Training error: 0.917472 / Test error: 0.897739 / Layer sizes: 10 1 Training error: 0.900585 / Test error: 0.879424 / Layer sizes: 10 1 Training error: 0.879820 / Test error: 0.831015 / Layer sizes: 10 1 Training error: 0.837386 / Test error: 0.830935 / Layer sizes: 10 1 Training error: 0.836673 / Test error: 0.818219 / Layer sizes: 10 1 Training error: 0.826530 / Test error: 0.814594 / Layer sizes: 10 1 Training error: 0.806057 / Test error: 0.806199 / Layer sizes: 10 1 Training error: 0.805896 / Test error: 0.790578 / Layer sizes: 10 1 Training error: 0.771958 / Test error: 0.781210 / Layer sizes: 10 1 Training error: 0.756297 / Test error: 0.775656 / Layer sizes: 10 1 Training error: 0.743547 / Test error: 0.753418 / Layer sizes: 10 1 Training error: 0.742607 / Test error: 0.742749 / Layer sizes: 10 1 Training error: 0.689754 / Test error: 0.732397 / Layer sizes: 10 1 Training error: 0.667274 / Test error: 0.708387 / Layer sizes: 10 1 Training error: 0.661041 / Test error: 0.684416 / Layer sizes: 10 1 Training error: 0.643504 / Test error: 0.681535 / Layer sizes: 10 1 Training error: 0.622923 / Test error: 0.661874 / Layer sizes: 10 1 Training error: 0.614013 / Test error: 0.650696 / Layer sizes: 10 1 Training error: 0.610673 / Test error: 0.641687 / Layer sizes: 10 1 Training error: 0.601911 / Test error: 0.607840 / Layer sizes: 10 1 Training error: 0.583909 / Test error: 0.591115 / Layer sizes: 10 1 Training error: 0.580645 / Test error: 0.577553 / Layer sizes: 10 1 Training error: 0.574616 / Test error: 0.571182 / Layer sizes: 10 1 Training error: 0.566995 / Test error: 0.563115 / Layer sizes: 10 1 Training error: 0.552948 / Test error: 0.562866 / Layer sizes: 10 1 Training error: 0.551976 / Test error: 0.532027 / Layer sizes: 10 1 Training error: 0.538998 / Test error: 0.522220 / Layer sizes: 10 1 Training error: 0.535539 / Test error: 0.517457 / Layer sizes: 10 1 Training error: 0.529569 / Test error: 0.512321 / Layer sizes: 10 1 Training error: 0.519251 / Test error: 0.510061 / Layer sizes: 10 1 Training error: 0.512915 / Test error: 0.491889 / Layer sizes: 10 1 Training error: 0.504437 / Test error: 0.482331 / Layer sizes: 10 1 Training error: 0.501257 / Test error: 0.453939 / Layer sizes: 10 1 Training error: 0.497551 / Test error: 0.441347 / Layer sizes: 10 1 Training error: 0.496323 / Test error: 0.440682 / Layer sizes: 10 1 Training error: 0.494102 / Test error: 0.414680 / Layer sizes: 10 1 Training error: 0.479308 / Test error: 0.410354 / Layer sizes: 10 1 Training error: 0.473197 / Test error: 0.395880 / Layer sizes: 10 1 Training error: 0.454217 / Test error: 0.391261 / Layer sizes: 10 1 Training error: 0.450680 / Test error: 0.371243 / Layer sizes: 10 1 Training error: 0.449757 / Test error: 0.365420 / Layer sizes: 10 1 Training error: 0.443452 / Test error: 0.364320 / Layer sizes: 10 1 Training error: 0.438718 / Test error: 0.350404 / Layer sizes: 10 1 Training error: 0.438014 / Test error: 0.347539 / Layer sizes: 10 1 Training error: 0.437150 / Test error: 0.340577 / Layer sizes: 10 1 Training error: 0.393769 / Test error: 0.339549 / Layer sizes: 10 10 1 Training error: 0.406445 / Test error: 0.338550 / Layer sizes: 10 10 10 1 Training error: 0.380639 / Test error: 0.336325 / Layer sizes: 10 10 1 Training error: 0.378985 / Test error: 0.327980 / Layer sizes: 10 10 1 Training error: 0.378183 / Test error: 0.327017 / Layer sizes: 10 10 1 Training error: 0.374350 / Test error: 0.317253 / Layer sizes: 10 10 1 Training error: 0.356463 / Test error: 0.312972 / Layer sizes: 10 10 1 Training error: 0.352798 / Test error: 0.309839 / Layer sizes: 10 10 1 Training error: 0.344015 / Test error: 0.300848 / Layer sizes: 10 10 1 Training error: 0.342213 / Test error: 0.299425 / Layer sizes: 10 10 1 Training error: 0.341462 / Test error: 0.297352 / Layer sizes: 10 10 1 Training error: 0.333995 / Test error: 0.293734 / Layer sizes: 10 10 1 Training error: 0.330651 / Test error: 0.283547 / Layer sizes: 10 10 1 Training error: 0.342933 / Test error: 0.271509 / Layer sizes: 10 10 10 1 Training error: 0.336704 / Test error: 0.259034 / Layer sizes: 10 10 10 1 Training error: 0.313486 / Test error: 0.256215 / Layer sizes: 10 10 10 1 Training error: 0.302771 / Test error: 0.251481 / Layer sizes: 10 10 10 1 Training error: 0.276408 / Test error: 0.244865 / Layer sizes: 10 10 1 Training error: 0.292549 / Test error: 0.244502 / Layer sizes: 10 10 10 1 Training error: 0.291337 / Test error: 0.242639 / Layer sizes: 10 10 10 1 Training error: 0.290371 / Test error: 0.232804 / Layer sizes: 10 10 10 1 Training error: 0.250878 / Test error: 0.232396 / Layer sizes: 10 10 1 Training error: 0.246685 / Test error: 0.227312 / Layer sizes: 10 10 1 Training error: 0.244709 / Test error: 0.217853 / Layer sizes: 10 10 1 Training error: 0.243981 / Test error: 0.215214 / Layer sizes: 10 10 1 Training error: 0.221208 / Test error: 0.213731 / Layer sizes: 10 10 1 Training error: 0.165340 / Test error: 0.209984 / Layer sizes: 10 10 1 Training error: 0.165268 / Test error: 0.203892 / Layer sizes: 10 10 1 Training error: 0.164849 / Test error: 0.198845 / Layer sizes: 10 10 1 Training error: 0.153143 / Test error: 0.194305 / Layer sizes: 10 10 1 Training error: 0.152225 / Test error: 0.179210 / Layer sizes: 10 10 1 Training error: 0.140254 / Test error: 0.177960 / Layer sizes: 10 10 1 Training error: 0.131105 / Test error: 0.177689 / Layer sizes: 10 10 1 Training error: 0.130604 / Test error: 0.176357 / Layer sizes: 10 10 1 Training error: 0.128536 / Test error: 0.169519 / Layer sizes: 10 10 1 Training error: 0.120527 / Test error: 0.161619 / Layer sizes: 10 10 1 Training error: 0.108419 / Test error: 0.151250 / Layer sizes: 10 10 1 Training error: 0.088739 / Test error: 0.147700 / Layer sizes: 10 10 1 Training error: 0.087619 / Test error: 0.128707 / Layer sizes: 10 10 1 Training error: 0.083247 / Test error: 0.125461 / Layer sizes: 10 10 1 Training error: 0.083186 / Test error: 0.122546 / Layer sizes: 10 10 1 Training error: 0.079557 / Test error: 0.118132 / Layer sizes: 10 10 1 Training error: 0.076603 / Test error: 0.114429 / Layer sizes: 10 10 1 Training error: 0.069324 / Test error: 0.112448 / Layer sizes: 10 10 1 Training error: 0.065346 / Test error: 0.111792 / Layer sizes: 10 10 1 Training error: 0.064938 / Test error: 0.103169 / Layer sizes: 10 10 1 Training error: 0.063386 / Test error: 0.102875 / Layer sizes: 10 10 1 Training error: 0.056394 / Test error: 0.099031 / Layer sizes: 10 10 1 Training error: 0.055397 / Test error: 0.097518 / Layer sizes: 10 10 1 Training error: 0.052266 / Test error: 0.097353 / Layer sizes: 10 10 1 Training error: 0.052137 / Test error: 0.093788 / Layer sizes: 10 10 1 Training error: 0.049743 / Test error: 0.092813 / Layer sizes: 10 10 1 Training error: 0.039055 / Test error: 0.083288 / Layer sizes: 10 10 1 Training error: 0.038808 / Test error: 0.076568 / Layer sizes: 10 10 1 Training error: 0.038177 / Test error: 0.074098 / Layer sizes: 10 10 1 Training error: 0.038081 / Test error: 0.071092 / Layer sizes: 10 10 1 Training error: 0.037268 / Test error: 0.070608 / Layer sizes: 10 10 1 Training error: 0.036928 / Test error: 0.067586 / Layer sizes: 10 10 1 Training error: 0.036017 / Test error: 0.062347 / Layer sizes: 10 10 1 Training error: 0.024913 / Test error: 0.061537 / Layer sizes: 10 10 1 Training error: 0.024736 / Test error: 0.060549 / Layer sizes: 10 10 1 Training error: 0.016825 / Test error: 0.057099 / Layer sizes: 10 10 1 Training error: 0.016710 / Test error: 0.055919 / Layer sizes: 10 10 1 Training error: 0.016561 / Test error: 0.055878 / Layer sizes: 10 10 1 Training error: 0.015042 / Test error: 0.053447 / Layer sizes: 10 10 1 Training error: 0.032131 / Test error: 0.050786 / Layer sizes: 10 3 3 1 Training error: 0.031460 / Test error: 0.045128 / Layer sizes: 10 3 3 1 Training error: 0.031060 / Test error: 0.043910 / Layer sizes: 10 3 3 1 Training error: 0.030464 / Test error: 0.042815 / Layer sizes: 10 3 3 1 Training error: 0.029925 / Test error: 0.040082 / Layer sizes: 10 3 3 1 Training error: 0.029220 / Test error: 0.039425 / Layer sizes: 10 3 3 1 Training error: 0.011561 / Test error: 0.020999 / Layer sizes: 10 3 3 1 Training error: 0.011480 / Test error: 0.017354 / Layer sizes: 10 3 3 1 Training error: 0.011165 / Test error: 0.012778 / Layer sizes: 10 3 3 1 Training error: 0.010903 / Test error: 0.012056 / Layer sizes: 10 3 3 1 Training error: 0.010722 / Test error: 0.010821 / Layer sizes: 10 3 3 1 Training error: 0.010631 / Test error: 0.010575 / Layer sizes: 10 3 3 1 Training error: 0.010541 / Test error: 0.010430 / Layer sizes: 10 3 3 1 Training error: 0.010329 / Test error: 0.010181 / Layer sizes: 10 3 3 1 Training error: 0.010070 / Test error: 0.010106 / Layer sizes: 10 3 3 1 Training error: 0.010058 / Test error: 0.010096 / Layer sizes: 10 3 3 1 Training error: 0.009423 / Test error: 0.009823 / Layer sizes: 10 3 3 1 Training error: 0.009037 / Test error: 0.009503 / Layer sizes: 10 3 3 1 Training error: 0.008928 / Test error: 0.009254 / Layer sizes: 10 3 3 1 Training error: 0.008883 / Test error: 0.009103 / Layer sizes: 10 3 3 1 Training error: 0.008595 / Test error: 0.009001 / Layer sizes: 10 3 3 1 Training error: 0.008567 / Test error: 0.008868 / Layer sizes: 10 3 3 1 Training error: 0.000269 / Test error: 0.001865 / Layer sizes: 10 7 1 Training error: 0.000195 / Test error: 0.000783 / Layer sizes: 10 7 1 Training error: 0.000192 / Test error: 0.000684 / Layer sizes: 10 7 1 Training error: 0.000039 / Test error: 0.000473 / Layer sizes: 10 10 10 1 Training error: 0.000025 / Test error: 0.000125 / Layer sizes: 10 7 1 Training error: 0.000019 / Test error: 0.000062 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000035 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000028 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000026 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000023 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000022 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000022 / Layer sizes: 10 7 1 Training error: 0.000018 / Test error: 0.000022 / Layer sizes: 10 7 1 Training error: 0.000017 / Test error: 0.000022 / Layer sizes: 10 7 1 Training error: 0.000017 / Test error: 0.000021 / Layer sizes: 10 7 1 Training error: 0.000017 / Test error: 0.000020 / Layer sizes: 10 7 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. 94.12 % correct. 5.88 % wrong. Limit: 17.43 %. 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.13805 + 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.fXNQYg 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.sy5Gmj find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), libm.so.6(GLIBC_2.29), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.c5FEoi 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.hgHr7g find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.2thYsj 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 92.58user 1.14system 1:41.11elapsed 92%CPU (0avgtext+0avgdata 35828maxresident)k 0inputs+0outputs (0major+163922minor)pagefaults 0swaps 102.34user 7.52system 1:56.04elapsed 94%CPU (0avgtext+0avgdata 110880maxresident)k 42232inputs+0outputs (0major+485512minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.i586.rpm.hasher 2020-07-29 11:43:55.321257675 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)