<86>Dec 7 11:50:44 userdel[3639793]: delete user 'rooter'
<86>Dec 7 11:50:44 userdel[3639793]: removed group 'rooter' owned by 'rooter'
<86>Dec 7 11:50:44 userdel[3639793]: removed shadow group 'rooter' owned by 'rooter'
<86>Dec 7 11:50:44 groupadd[3639815]: group added to /etc/group: name=rooter, GID=672
<86>Dec 7 11:50:44 groupadd[3639815]: group added to /etc/gshadow: name=rooter
<86>Dec 7 11:50:44 groupadd[3639815]: new group: name=rooter, GID=672
<86>Dec 7 11:50:44 useradd[3639834]: new user: name=rooter, UID=672, GID=672, home=/root, shell=/bin/bash
<86>Dec 7 11:50:44 userdel[3639856]: delete user 'builder'
<86>Dec 7 11:50:44 userdel[3639856]: removed group 'builder' owned by 'builder'
<86>Dec 7 11:50:44 groupadd[3639880]: group added to /etc/group: name=builder, GID=673
<86>Dec 7 11:50:44 groupadd[3639880]: group added to /etc/gshadow: name=builder
<86>Dec 7 11:50:44 groupadd[3639880]: new group: name=builder, GID=673
<86>Dec 7 11:50:44 useradd[3639896]: new user: name=builder, UID=673, GID=673, home=/usr/src, shell=/bin/bash
<13>Dec 7 11:50:47 rpmi: libruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed
<13>Dec 7 11:50:47 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed
<13>Dec 7 11:50:48 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed
<13>Dec 7 11:50:48 rpmi: libgdbm-1.8.3-alt10 1454943334 installed
<13>Dec 7 11:50:48 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed
<13>Dec 7 11:50:48 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed
<13>Dec 7 11:50:48 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed
<13>Dec 7 11:50:48 rpmi: ca-certificates-2020.10.22-alt1 sisyphus+260224.300.2.1 1603549301 installed
<13>Dec 7 11:50:48 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed
<13>Dec 7 11:50:48 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed
<13>Dec 7 11:50:48 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed
<13>Dec 7 11:50:48 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed
<13>Dec 7 11:50:48 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed
<13>Dec 7 11:50:48 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed
<13>Dec 7 11:50:48 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed
<13>Dec 7 11:50:48 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed
<13>Dec 7 11:50:48 rpmi: gem-2:3.1.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed
<13>Dec 7 11:50:48 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed
<13>Dec 7 11:50:48 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed
<13>Dec 7 11:50:48 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed
<13>Dec 7 11:50:48 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed
<13>Dec 7 11:50:48 rpmi: erb-0:2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed
<13>Dec 7 11:50:48 rpmi: irb-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed
<13>Dec 7 11:50:48 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed
<13>Dec 7 11:50:48 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed
<13>Dec 7 11:50:48 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed
<13>Dec 7 11:50:51 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed
<13>Dec 7 11:50:51 rpmi: ruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed
<13>Dec 7 11:50:52 rpmi: ruby-stdlibs-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 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.10052
+ 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.10052
+ 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.65389
+ 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.65389
+ 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: 0.995723 / Test error: 0.993018 / Layer sizes: 10 7 1
Training error: 0.988922 / Test error: 0.980814 / Layer sizes: 10 9 4 1
Training error: 0.986189 / Test error: 0.975992 / Layer sizes: 10 3 3 1
Training error: 0.985725 / Test error: 0.975575 / Layer sizes: 10 3 3 1
Training error: 0.979974 / Test error: 0.963797 / Layer sizes: 10 9 4 1
Training error: 0.977001 / Test error: 0.957659 / Layer sizes: 10 9 4 1
Training error: 0.973173 / Test error: 0.950850 / Layer sizes: 10 10 10 1
Training error: 0.972540 / Test error: 0.949474 / Layer sizes: 10 10 10 1
Training error: 0.971287 / Test error: 0.943026 / Layer sizes: 10 3 3 1
Training error: 0.968633 / Test error: 0.936492 / Layer sizes: 10 9 4 1
Training error: 0.966877 / Test error: 0.930762 / Layer sizes: 10 9 4 1
Training error: 0.881566 / Test error: 0.912191 / Layer sizes: 10 1
Training error: 0.854201 / Test error: 0.891833 / Layer sizes: 10 1
Training error: 0.810734 / Test error: 0.891422 / Layer sizes: 10 1
Training error: 0.795724 / Test error: 0.886837 / Layer sizes: 10 1
Training error: 0.785501 / Test error: 0.879401 / Layer sizes: 10 1
Training error: 0.922793 / Test error: 0.875526 / Layer sizes: 10 3 1
Training error: 0.750986 / Test error: 0.873695 / Layer sizes: 10 1
Training error: 0.914172 / Test error: 0.867673 / Layer sizes: 10 3 1
Training error: 0.913805 / Test error: 0.865953 / Layer sizes: 10 3 1
Training error: 0.730029 / Test error: 0.861518 / Layer sizes: 10 1
Training error: 0.916088 / Test error: 0.861189 / Layer sizes: 10 10 1
Training error: 0.910300 / Test error: 0.860173 / Layer sizes: 10 3 1
Training error: 0.906619 / Test error: 0.856790 / Layer sizes: 10 10 1
Training error: 0.695013 / Test error: 0.818229 / Layer sizes: 10 1
Training error: 0.672612 / Test error: 0.777616 / Layer sizes: 10 1
Training error: 0.658129 / Test error: 0.747584 / Layer sizes: 10 1
Training error: 0.634164 / Test error: 0.716557 / Layer sizes: 10 1
Training error: 0.622993 / Test error: 0.699066 / Layer sizes: 10 1
Training error: 0.602052 / Test error: 0.673751 / Layer sizes: 10 1
Training error: 0.594180 / Test error: 0.672456 / Layer sizes: 10 1
Training error: 0.586833 / Test error: 0.655569 / Layer sizes: 10 1
Training error: 0.575964 / Test error: 0.644353 / Layer sizes: 10 1
Training error: 0.568835 / Test error: 0.628293 / Layer sizes: 10 1
Training error: 0.529689 / Test error: 0.621748 / Layer sizes: 10 1
Training error: 0.517411 / Test error: 0.605113 / Layer sizes: 10 1
Training error: 0.508850 / Test error: 0.575096 / Layer sizes: 10 1
Training error: 0.508343 / Test error: 0.572984 / Layer sizes: 10 1
Training error: 0.501861 / Test error: 0.567421 / Layer sizes: 10 1
Training error: 0.497752 / Test error: 0.563145 / Layer sizes: 10 1
Training error: 0.493169 / Test error: 0.541700 / Layer sizes: 10 1
Training error: 0.480057 / Test error: 0.515100 / Layer sizes: 10 1
Training error: 0.475972 / Test error: 0.513035 / Layer sizes: 10 1
Training error: 0.469808 / Test error: 0.493770 / Layer sizes: 10 1
Training error: 0.465031 / Test error: 0.488040 / Layer sizes: 10 1
Training error: 0.460866 / Test error: 0.482653 / Layer sizes: 10 1
Training error: 0.459973 / Test error: 0.477376 / Layer sizes: 10 1
Training error: 0.450770 / Test error: 0.472308 / Layer sizes: 10 1
Training error: 0.430050 / Test error: 0.464106 / Layer sizes: 10 1
Training error: 0.427578 / Test error: 0.460021 / Layer sizes: 10 1
Training error: 0.414953 / Test error: 0.459770 / Layer sizes: 10 1
Training error: 0.406648 / Test error: 0.444779 / Layer sizes: 10 1
Training error: 0.404478 / Test error: 0.442266 / Layer sizes: 10 1
Training error: 0.401403 / Test error: 0.435149 / Layer sizes: 10 1
Training error: 0.396344 / Test error: 0.417972 / Layer sizes: 10 1
Training error: 0.393408 / Test error: 0.409365 / Layer sizes: 10 1
Training error: 0.392530 / Test error: 0.407855 / Layer sizes: 10 1
Training error: 0.391669 / Test error: 0.393985 / Layer sizes: 10 1
Training error: 0.385811 / Test error: 0.392598 / Layer sizes: 10 1
Training error: 0.396365 / Test error: 0.387117 / Layer sizes: 10 10 1
Training error: 0.377746 / Test error: 0.382955 / Layer sizes: 10 1
Training error: 0.389028 / Test error: 0.366943 / Layer sizes: 10 10 1
Training error: 0.359775 / Test error: 0.365978 / Layer sizes: 10 1
Training error: 0.356379 / Test error: 0.365175 / Layer sizes: 10 1
Training error: 0.352894 / Test error: 0.362197 / Layer sizes: 10 1
Training error: 0.357188 / Test error: 0.352408 / Layer sizes: 10 10 1
Training error: 0.335923 / Test error: 0.343319 / Layer sizes: 10 10 1
Training error: 0.329128 / Test error: 0.342899 / Layer sizes: 10 10 1
Training error: 0.327129 / Test error: 0.341998 / Layer sizes: 10 1
Training error: 0.325198 / Test error: 0.332278 / Layer sizes: 10 1
Training error: 0.325055 / Test error: 0.330275 / Layer sizes: 10 1
Training error: 0.323290 / Test error: 0.320476 / Layer sizes: 10 1
Training error: 0.321703 / Test error: 0.317338 / Layer sizes: 10 1
Training error: 0.247655 / Test error: 0.313140 / Layer sizes: 10 9 4 1
Training error: 0.237399 / Test error: 0.311887 / Layer sizes: 10 9 4 1
Training error: 0.231632 / Test error: 0.303959 / Layer sizes: 10 9 4 1
Training error: 0.213911 / Test error: 0.294553 / Layer sizes: 10 9 4 1
Training error: 0.208377 / Test error: 0.292765 / Layer sizes: 10 9 4 1
Training error: 0.207426 / Test error: 0.292374 / Layer sizes: 10 9 4 1
Training error: 0.200651 / Test error: 0.283957 / Layer sizes: 10 9 4 1
Training error: 0.197822 / Test error: 0.265420 / Layer sizes: 10 9 4 1
Training error: 0.197786 / Test error: 0.262538 / Layer sizes: 10 9 4 1
Training error: 0.087521 / Test error: 0.259336 / Layer sizes: 10 9 4 1
Training error: 0.079251 / Test error: 0.258684 / Layer sizes: 10 9 4 1
Training error: 0.079047 / Test error: 0.258144 / Layer sizes: 10 9 4 1
Training error: 0.077903 / Test error: 0.240354 / Layer sizes: 10 9 4 1
Training error: 0.077455 / Test error: 0.234829 / Layer sizes: 10 9 4 1
Training error: 0.076581 / Test error: 0.226759 / Layer sizes: 10 9 4 1
Training error: 0.076392 / Test error: 0.224828 / Layer sizes: 10 9 4 1
Training error: 0.074830 / Test error: 0.218502 / Layer sizes: 10 9 4 1
Training error: 0.063273 / Test error: 0.210136 / Layer sizes: 10 9 4 1
Training error: 0.062273 / Test error: 0.175719 / Layer sizes: 10 9 4 1
Training error: 0.060715 / Test error: 0.168892 / Layer sizes: 10 9 4 1
Training error: 0.049621 / Test error: 0.157216 / Layer sizes: 10 9 4 1
Training error: 0.049304 / Test error: 0.152106 / Layer sizes: 10 9 4 1
Training error: 0.049132 / Test error: 0.143823 / Layer sizes: 10 9 4 1
Training error: 0.048736 / Test error: 0.138467 / Layer sizes: 10 9 4 1
Training error: 0.047074 / Test error: 0.137791 / Layer sizes: 10 9 4 1
Training error: 0.046993 / Test error: 0.121594 / Layer sizes: 10 9 4 1
Training error: 0.046854 / Test error: 0.121220 / Layer sizes: 10 9 4 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
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
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.
86.96 % correct.
13.04 % wrong.
Limit: 17.78 %.
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.57353
+ 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.iplJvM
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.8kJowM
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.tkbv4M
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.hQWd8L
find-provides: running scripts (debuginfo)
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.hc1XPM
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
60.55user 0.41system 1:41.21elapsed 60%CPU (0avgtext+0avgdata 35956maxresident)k
0inputs+0outputs (0major+165842minor)pagefaults 0swaps
71.09user 5.78system 1:57.73elapsed 65%CPU (0avgtext+0avgdata 107912maxresident)k
0inputs+0outputs (0major+485095minor)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 2020-12-07 11:52:38.150964210 +0000
@@ -11,2 +11,3 @@
Requires: libm.so.6(GLIBC_2.1)
+Requires: libm.so.6(GLIBC_2.29)
Requires: rtld(GNU_HASH)