<86>Jan 7 08:37:00 userdel[18078]: delete user 'rooter'
<86>Jan 7 08:37:00 userdel[18078]: removed group 'rooter' owned by 'rooter'
<86>Jan 7 08:37:00 userdel[18078]: removed shadow group 'rooter' owned by 'rooter'
<86>Jan 7 08:37:00 groupadd[18121]: group added to /etc/group: name=rooter, GID=699
<86>Jan 7 08:37:00 groupadd[18121]: group added to /etc/gshadow: name=rooter
<86>Jan 7 08:37:00 groupadd[18121]: new group: name=rooter, GID=699
<86>Jan 7 08:37:00 useradd[18144]: new user: name=rooter, UID=699, GID=699, home=/root, shell=/bin/bash
<86>Jan 7 08:37:00 userdel[18178]: delete user 'builder'
<86>Jan 7 08:37:00 userdel[18178]: removed group 'builder' owned by 'builder'
<86>Jan 7 08:37:00 userdel[18178]: removed shadow group 'builder' owned by 'builder'
<86>Jan 7 08:37:00 groupadd[18195]: group added to /etc/group: name=builder, GID=700
<86>Jan 7 08:37:00 groupadd[18195]: group added to /etc/gshadow: name=builder
<86>Jan 7 08:37:00 groupadd[18195]: new group: name=builder, GID=700
<86>Jan 7 08:37:00 useradd[18212]: new user: name=builder, UID=700, GID=700, home=/usr/src, shell=/bin/bash
<13>Jan 7 08:37:03 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464411 installed
<13>Jan 7 08:37:03 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061465 installed
<13>Jan 7 08:37:03 rpmi: libgdbm-1.8.3-alt10 1454943334 installed
<13>Jan 7 08:37:03 rpmi: libtasn1-4.13-alt2 1521133850 installed
<13>Jan 7 08:37:03 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed
<13>Jan 7 08:37:03 rpmi: rpm-macros-alternatives-0.5.0-alt1 sisyphus.219012.300 1546745004 installed
<13>Jan 7 08:37:03 rpmi: alternatives-0.5.0-alt1 sisyphus.219012.300 1546745004 installed
<13>Jan 7 08:37:03 rpmi: ca-certificates-2018.11.12-alt1 sisyphus.216395.300 1542114035 installed
<13>Jan 7 08:37:03 rpmi: ca-trust-0.1.1-alt2 1515595785 installed
<13>Jan 7 08:37:03 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed
<13>Jan 7 08:37:03 rpmi: libcrypto10-1.0.2q-alt1 sisyphus.218116.300 1545346652 installed
<13>Jan 7 08:37:03 rpmi: libssl10-1.0.2q-alt1 sisyphus.218116.300 1545346652 installed
<13>Jan 7 08:37:04 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061465 installed
<13>Jan 7 08:37:04 rpmi: ruby-2.5.1-alt4 sisyphus.209945.120 1537061465 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.24233
+ 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.24233
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd auto-nng.v1.7
+ make -j8 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic'
make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7'
cc -pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm
auto-nng.c: In function 'main_generate':
auto-nng.c:681:54: warning: 'continuous_input_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized]
for (i = 0; i < continuous_input_count; i++) printf("%f, %f\n", continuous_input_averages[i], continuous_input_stddevs[i]);
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
auto-nng.c:681:54: warning: 'continuous_input_averages' may be used uninitialized in this function [-Wmaybe-uninitialized]
auto-nng.c:686:11: warning: 'continuous_output_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized]
printf(DOUBLE_FORMAT ", " DOUBLE_FORMAT "\n", continuous_output_averages[i], continuous_output_stddevs[i]);
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
auto-nng.c:686:11: warning: 'continuous_output_averages' may be used uninitialized in this function [-Wmaybe-uninitialized]
auto-nng.c: In function 'main_run':
auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized]
double *continuous_input_stats;
^~~~~~~~~~~~~~~~~~~~~~
auto-nng.c:910:107: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized]
printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]);
^
auto-nng.c:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized]
if (continuous_output_cols[j] == i) {
~~~~~~~~~~~~~~~~~~~~~~^~~
auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized]
if (binary_output_cols[j] == i) {
~~~~~~~~~~~~~~~~~~^~~
auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized]
if (continuous_input_cols[j] == i) {
~~~~~~~~~~~~~~~~~~~~~^~~
auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized]
if (binary_input_cols[j] == i) {
~~~~~~~~~~~~~~~~~^~~
make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7'
+ exit 0
Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.47480
+ 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.47480
+ 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: 0.995866 / Test error: 0.994224 / Layer sizes: 10 3 1
Training error: 0.992080 / Test error: 0.988302 / Layer sizes: 10 3 3 1
Training error: 0.986642 / Test error: 0.980008 / Layer sizes: 10 9 4 1
Training error: 0.991618 / Test error: 0.966715 / Layer sizes: 10 1
Training error: 0.973622 / Test error: 0.958862 / Layer sizes: 10 9 4 1
Training error: 0.958370 / Test error: 0.938424 / Layer sizes: 10 1
Training error: 0.941924 / Test error: 0.921200 / Layer sizes: 10 1
Training error: 0.925609 / Test error: 0.892727 / Layer sizes: 10 1
Training error: 0.897070 / Test error: 0.864157 / Layer sizes: 10 1
Training error: 0.860132 / Test error: 0.844252 / Layer sizes: 10 1
Training error: 0.837852 / Test error: 0.831614 / Layer sizes: 10 1
Training error: 0.779787 / Test error: 0.789912 / Layer sizes: 10 1
Training error: 0.777099 / Test error: 0.773309 / Layer sizes: 10 1
Training error: 0.724500 / Test error: 0.772404 / Layer sizes: 10 1
Training error: 0.706521 / Test error: 0.765234 / Layer sizes: 10 1
Training error: 0.681816 / Test error: 0.746054 / Layer sizes: 10 1
Training error: 0.673822 / Test error: 0.737371 / Layer sizes: 10 1
Training error: 0.651910 / Test error: 0.706104 / Layer sizes: 10 1
Training error: 0.647241 / Test error: 0.703677 / Layer sizes: 10 1
Training error: 0.637836 / Test error: 0.682269 / Layer sizes: 10 1
Training error: 0.612638 / Test error: 0.658644 / Layer sizes: 10 1
Training error: 0.590385 / Test error: 0.629278 / Layer sizes: 10 1
Training error: 0.578588 / Test error: 0.622588 / Layer sizes: 10 1
Training error: 0.571299 / Test error: 0.611819 / Layer sizes: 10 1
Training error: 0.560941 / Test error: 0.591055 / Layer sizes: 10 1
Training error: 0.547356 / Test error: 0.585868 / Layer sizes: 10 1
Training error: 0.525582 / Test error: 0.577439 / Layer sizes: 10 1
Training error: 0.513631 / Test error: 0.575790 / Layer sizes: 10 1
Training error: 0.512534 / Test error: 0.575555 / Layer sizes: 10 1
Training error: 0.506402 / Test error: 0.557879 / Layer sizes: 10 1
Training error: 0.464948 / Test error: 0.554451 / Layer sizes: 10 1
Training error: 0.455079 / Test error: 0.549748 / Layer sizes: 10 1
Training error: 0.450069 / Test error: 0.525527 / Layer sizes: 10 1
Training error: 0.445796 / Test error: 0.522464 / Layer sizes: 10 1
Training error: 0.444596 / Test error: 0.519615 / Layer sizes: 10 1
Training error: 0.437388 / Test error: 0.506592 / Layer sizes: 10 1
Training error: 0.434417 / Test error: 0.499430 / Layer sizes: 10 1
Training error: 0.429583 / Test error: 0.497003 / Layer sizes: 10 1
Training error: 0.424855 / Test error: 0.496094 / Layer sizes: 10 1
Training error: 0.422280 / Test error: 0.487130 / Layer sizes: 10 1
Training error: 0.392156 / Test error: 0.484188 / Layer sizes: 10 1
Training error: 0.388954 / Test error: 0.482932 / Layer sizes: 10 1
Training error: 0.388745 / Test error: 0.481149 / Layer sizes: 10 1
Training error: 0.380198 / Test error: 0.473498 / Layer sizes: 10 10 1
Training error: 0.392460 / Test error: 0.471862 / Layer sizes: 10 7 1
Training error: 0.380567 / Test error: 0.458730 / Layer sizes: 10 7 1
Training error: 0.364114 / Test error: 0.442339 / Layer sizes: 10 7 1
Training error: 0.360562 / Test error: 0.436157 / Layer sizes: 10 7 1
Training error: 0.334023 / Test error: 0.435940 / Layer sizes: 10 7 1
Training error: 0.290936 / Test error: 0.435175 / Layer sizes: 10 7 1
Training error: 0.288691 / Test error: 0.427819 / Layer sizes: 10 7 1
Training error: 0.278745 / Test error: 0.419566 / Layer sizes: 10 7 1
Training error: 0.212712 / Test error: 0.411283 / Layer sizes: 10 3 1
Training error: 0.201957 / Test error: 0.390480 / Layer sizes: 10 3 1
Training error: 0.199200 / Test error: 0.384726 / Layer sizes: 10 3 1
Training error: 0.196701 / Test error: 0.374499 / Layer sizes: 10 3 1
Training error: 0.196172 / Test error: 0.368249 / Layer sizes: 10 3 1
Training error: 0.195544 / Test error: 0.356022 / Layer sizes: 10 3 1
Training error: 0.151454 / Test error: 0.347165 / Layer sizes: 10 3 3 1
Training error: 0.150746 / Test error: 0.335461 / Layer sizes: 10 3 3 1
Training error: 0.150727 / Test error: 0.323329 / Layer sizes: 10 3 3 1
Training error: 0.149964 / Test error: 0.314247 / Layer sizes: 10 3 3 1
Training error: 0.146125 / Test error: 0.307777 / Layer sizes: 10 3 3 1
Training error: 0.141989 / Test error: 0.298457 / Layer sizes: 10 3 3 1
Training error: 0.137562 / Test error: 0.288908 / Layer sizes: 10 3 3 1
Training error: 0.137519 / Test error: 0.282943 / Layer sizes: 10 3 3 1
Training error: 0.131558 / Test error: 0.281865 / Layer sizes: 10 3 3 1
Training error: 0.131409 / Test error: 0.278335 / Layer sizes: 10 3 3 1
Training error: 0.098410 / Test error: 0.276887 / Layer sizes: 10 10 10 1
Training error: 0.098222 / Test error: 0.273661 / Layer sizes: 10 10 10 1
Training error: 0.097360 / Test error: 0.270072 / Layer sizes: 10 10 10 1
Training error: 0.096254 / Test error: 0.265489 / Layer sizes: 10 10 10 1
Training error: 0.095824 / Test error: 0.250846 / Layer sizes: 10 10 10 1
Training error: 0.092436 / Test error: 0.249345 / Layer sizes: 10 10 10 1
Training error: 0.091813 / Test error: 0.244761 / Layer sizes: 10 10 10 1
Training error: 0.091319 / Test error: 0.243575 / Layer sizes: 10 10 10 1
Training error: 0.090915 / Test error: 0.238704 / Layer sizes: 10 10 10 1
Training error: 0.090091 / Test error: 0.231927 / Layer sizes: 10 10 10 1
Training error: 0.015205 / Test error: 0.230235 / Layer sizes: 10 10 1
Training error: 0.014488 / Test error: 0.227083 / Layer sizes: 10 10 1
Training error: 0.006653 / Test error: 0.226864 / Layer sizes: 10 10 1
Training error: 0.005495 / Test error: 0.222455 / Layer sizes: 10 10 1
Training error: 0.005337 / Test error: 0.222297 / Layer sizes: 10 10 1
Training error: 0.005312 / Test error: 0.204778 / Layer sizes: 10 10 1
Training error: 0.005304 / Test error: 0.200493 / Layer sizes: 10 10 1
Training error: 0.005303 / Test error: 0.199375 / Layer sizes: 10 10 1
Training error: 0.003057 / Test error: 0.198702 / Layer sizes: 10 10 1
Training error: 0.003038 / Test error: 0.198315 / Layer sizes: 10 10 1
Training error: 0.002758 / Test error: 0.197519 / Layer sizes: 10 10 1
Training error: 0.002751 / Test error: 0.197506 / Layer sizes: 10 10 1
Training error: 0.002741 / Test error: 0.196943 / Layer sizes: 10 10 1
Training error: 0.002702 / Test error: 0.192759 / Layer sizes: 10 10 1
Training error: 0.002564 / Test error: 0.183562 / Layer sizes: 10 10 1
Training error: 0.002556 / Test error: 0.179485 / Layer sizes: 10 10 1
Training error: 0.000678 / Test error: 0.162376 / Layer sizes: 10 10 1
Training error: 0.000490 / Test error: 0.149401 / Layer sizes: 10 10 1
Training error: 0.000222 / Test error: 0.130729 / Layer sizes: 10 10 1
Training error: 0.000202 / Test error: 0.128630 / Layer sizes: 10 10 1
Training error: 0.000200 / Test error: 0.120724 / Layer sizes: 10 10 1
Training error: 0.000177 / Test error: 0.119385 / Layer sizes: 10 10 1
Training error: 0.000176 / Test error: 0.118029 / Layer sizes: 10 10 1
Training error: 0.000054 / Test error: 0.117183 / Layer sizes: 10 10 1
Training error: 0.000050 / Test error: 0.084022 / Layer sizes: 10 10 1
Training error: 0.000050 / Test error: 0.083220 / Layer sizes: 10 10 1
Training error: 0.000050 / Test error: 0.082925 / Layer sizes: 10 10 1
Training error: 0.000050 / Test error: 0.082784 / Layer sizes: 10 10 1
Training error: 0.000050 / Test error: 0.082496 / Layer sizes: 10 10 1
Training error: 0.000049 / Test error: 0.082299 / Layer sizes: 10 10 1
Training error: 0.000026 / Test error: 0.082285 / Layer sizes: 10 10 1
Training error: 0.000025 / Test error: 0.082122 / Layer sizes: 10 10 1
Training error: 0.000000 / Test error: 0.041667 / 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.
93.51 % correct.
6.49 % wrong.
Limit: 18.38 %.
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.77845
+ 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.n8Psvb
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.q0GRVp
find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks)
Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), rtld(GNU_HASH)
Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.UBHVc4
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.f28us3
find-provides: running scripts (debuginfo)
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.sHdA2k
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
59.76user 0.64system 1:40.13elapsed 60%CPU (0avgtext+0avgdata 36568maxresident)k
0inputs+0outputs (0major+162767minor)pagefaults 0swaps
69.94user 3.67system 1:55.08elapsed 63%CPU (0avgtext+0avgdata 121776maxresident)k
0inputs+0outputs (0major+606960minor)pagefaults 0swaps