<86>Mar 10 02:39:36 userdel[53403]: delete user 'rooter' <86>Mar 10 02:39:36 groupadd[53483]: group added to /etc/group: name=rooter, GID=657 <86>Mar 10 02:39:36 useradd[53497]: new user: name=rooter, UID=657, GID=657, home=/root, shell=/bin/bash <86>Mar 10 02:39:36 userdel[53509]: delete user 'builder' <86>Mar 10 02:39:36 userdel[53509]: removed group 'builder' owned by 'builder' <86>Mar 10 02:39:36 userdel[53509]: removed shadow group 'builder' owned by 'builder' <86>Mar 10 02:39:36 groupadd[53535]: group added to /etc/group: name=builder, GID=658 <86>Mar 10 02:39:36 groupadd[53535]: group added to /etc/gshadow: name=builder <86>Mar 10 02:39:36 groupadd[53535]: new group: name=builder, GID=658 <86>Mar 10 02:39:36 useradd[53550]: new user: name=builder, UID=658, GID=658, home=/usr/src, shell=/bin/bash <13>Mar 10 02:39:39 rpmi: libruby-2.5.1-alt0.M80P.1 1525659669 installed <13>Mar 10 02:39:39 rpmi: libyaml2-0.1.6-alt1 1397147705 installed <13>Mar 10 02:39:39 rpmi: libverto-0.2.6-alt1_6 1455633234 installed <13>Mar 10 02:39:39 rpmi: libkeyutils-1.5.10-alt0.M80P.2 p8+216694.100.6.1 1547827915 installed <13>Mar 10 02:39:39 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Mar 10 02:39:39 rpmi: libcom_err-1.42.13-alt2 1449075846 installed <13>Mar 10 02:39:39 rpmi: ca-certificates-2016.02.25-alt1 1462368370 installed <13>Mar 10 02:39:39 rpmi: libcrypto10-1.0.2n-alt0.M80P.1 1512766129 installed <13>Mar 10 02:39:39 rpmi: ruby-2.5.1-alt0.M80P.1 1525659669 installed <13>Mar 10 02:39:39 rpmi: libssl10-1.0.2n-alt0.M80P.1 1512766129 installed <86>Mar 10 02:39:39 groupadd[63868]: group added to /etc/group: name=_keytab, GID=499 <86>Mar 10 02:39:39 groupadd[63868]: group added to /etc/gshadow: name=_keytab <86>Mar 10 02:39:39 groupadd[63868]: new group: name=_keytab, GID=499 <13>Mar 10 02:39:39 rpmi: libkrb5-1.14.6-alt1.M80P.1 1525355673 installed <13>Mar 10 02:39:39 rpmi: ruby-stdlibs-2.5.1-alt0.M80P.1 1525659669 installed 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.3698 + 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.3698 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make 'CFLAGS=-pipe -Wall -g -O2' make: Entering directory `/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -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] 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:910:140: 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:775:8: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_output_cols; ^ 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:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_input_cols; ^ auto-nng.c:768:8: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *binary_input_cols; ^ make: Leaving directory `/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.3698 + 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) 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.7757 + 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: 0.977400 / Test error: 0.975737 / Layer sizes: 10 3 1 Training error: 0.977519 / Test error: 0.973950 / Layer sizes: 10 10 1 Training error: 0.961951 / Test error: 0.959591 / Layer sizes: 10 3 1 Training error: 0.954949 / Test error: 0.953890 / Layer sizes: 10 3 1 Training error: 0.934322 / Test error: 0.930584 / Layer sizes: 10 3 1 Training error: 0.924406 / Test error: 0.920198 / Layer sizes: 10 3 1 Training error: 0.899419 / Test error: 0.889482 / Layer sizes: 10 1 Training error: 0.878820 / Test error: 0.873416 / Layer sizes: 10 1 Training error: 0.858878 / Test error: 0.855436 / Layer sizes: 10 1 Training error: 0.847242 / Test error: 0.827092 / Layer sizes: 10 1 Training error: 0.768458 / Test error: 0.800644 / Layer sizes: 10 1 Training error: 0.753784 / Test error: 0.786327 / Layer sizes: 10 1 Training error: 0.726690 / Test error: 0.748056 / Layer sizes: 10 1 Training error: 0.698700 / Test error: 0.694600 / Layer sizes: 10 1 Training error: 0.675887 / Test error: 0.677349 / Layer sizes: 10 1 Training error: 0.662394 / Test error: 0.650224 / Layer sizes: 10 1 Training error: 0.640689 / Test error: 0.637911 / Layer sizes: 10 1 Training error: 0.612654 / Test error: 0.610433 / Layer sizes: 10 1 Training error: 0.607357 / Test error: 0.605928 / Layer sizes: 10 1 Training error: 0.599912 / Test error: 0.605319 / Layer sizes: 10 1 Training error: 0.589215 / Test error: 0.576249 / Layer sizes: 10 1 Training error: 0.583401 / Test error: 0.566731 / Layer sizes: 10 1 Training error: 0.569766 / Test error: 0.550627 / Layer sizes: 10 1 Training error: 0.557785 / Test error: 0.521523 / Layer sizes: 10 1 Training error: 0.552427 / Test error: 0.518221 / Layer sizes: 10 1 Training error: 0.532709 / Test error: 0.514510 / Layer sizes: 10 1 Training error: 0.518636 / Test error: 0.510219 / Layer sizes: 10 1 Training error: 0.509880 / Test error: 0.508887 / Layer sizes: 10 1 Training error: 0.505461 / Test error: 0.501575 / Layer sizes: 10 1 Training error: 0.503011 / Test error: 0.498015 / Layer sizes: 10 1 Training error: 0.490849 / Test error: 0.485844 / Layer sizes: 10 1 Training error: 0.461255 / Test error: 0.485417 / Layer sizes: 10 1 Training error: 0.456073 / Test error: 0.482668 / Layer sizes: 10 1 Training error: 0.454183 / Test error: 0.474378 / Layer sizes: 10 1 Training error: 0.450132 / Test error: 0.470455 / Layer sizes: 10 1 Training error: 0.384167 / Test error: 0.461097 / Layer sizes: 10 1 Training error: 0.382719 / Test error: 0.453972 / Layer sizes: 10 1 Training error: 0.379245 / Test error: 0.451430 / Layer sizes: 10 1 Training error: 0.418417 / Test error: 0.449593 / Layer sizes: 10 3 1 Training error: 0.470922 / Test error: 0.441861 / Layer sizes: 10 9 4 1 Training error: 0.411815 / Test error: 0.441517 / Layer sizes: 10 3 1 Training error: 0.406016 / Test error: 0.438372 / Layer sizes: 10 3 1 Training error: 0.400695 / Test error: 0.423861 / Layer sizes: 10 3 1 Training error: 0.405815 / Test error: 0.418572 / Layer sizes: 10 9 4 1 Training error: 0.403567 / Test error: 0.400322 / Layer sizes: 10 9 4 1 Training error: 0.320347 / Test error: 0.399364 / Layer sizes: 10 3 1 Training error: 0.291423 / Test error: 0.396057 / Layer sizes: 10 3 1 Training error: 0.275269 / Test error: 0.392314 / Layer sizes: 10 3 1 Training error: 0.268151 / Test error: 0.382858 / Layer sizes: 10 9 4 1 Training error: 0.260755 / Test error: 0.380504 / Layer sizes: 10 9 4 1 Training error: 0.260600 / Test error: 0.377501 / Layer sizes: 10 9 4 1 Training error: 0.255558 / Test error: 0.341788 / Layer sizes: 10 9 4 1 Training error: 0.218332 / Test error: 0.335302 / Layer sizes: 10 9 4 1 Training error: 0.216677 / Test error: 0.332792 / Layer sizes: 10 9 4 1 Training error: 0.201025 / Test error: 0.310119 / Layer sizes: 10 9 4 1 Training error: 0.171112 / Test error: 0.306731 / Layer sizes: 10 9 4 1 Training error: 0.109586 / Test error: 0.301783 / Layer sizes: 10 9 4 1 Training error: 0.107375 / Test error: 0.296299 / Layer sizes: 10 9 4 1 Training error: 0.105593 / Test error: 0.295760 / Layer sizes: 10 9 4 1 Training error: 0.105124 / Test error: 0.292847 / Layer sizes: 10 9 4 1 Training error: 0.103476 / Test error: 0.288294 / Layer sizes: 10 9 4 1 Training error: 0.102953 / Test error: 0.275978 / Layer sizes: 10 9 4 1 Training error: 0.097124 / Test error: 0.274162 / Layer sizes: 10 9 4 1 Training error: 0.094995 / Test error: 0.246800 / Layer sizes: 10 9 4 1 Training error: 0.081647 / Test error: 0.242980 / Layer sizes: 10 9 4 1 Training error: 0.055729 / Test error: 0.236278 / Layer sizes: 10 9 4 1 Training error: 0.050365 / Test error: 0.235618 / Layer sizes: 10 9 4 1 Training error: 0.050108 / Test error: 0.227422 / Layer sizes: 10 9 4 1 Training error: 0.047578 / Test error: 0.224639 / Layer sizes: 10 9 4 1 Training error: 0.046551 / Test error: 0.223551 / Layer sizes: 10 9 4 1 Training error: 0.002676 / Test error: 0.180425 / Layer sizes: 10 9 4 1 Training error: 0.002632 / Test error: 0.160540 / Layer sizes: 10 9 4 1 Training error: 0.002599 / Test error: 0.158838 / Layer sizes: 10 9 4 1 Training error: 0.002567 / Test error: 0.143937 / Layer sizes: 10 9 4 1 Training error: 0.002565 / Test error: 0.124005 / Layer sizes: 10 9 4 1 Training error: 0.001353 / Test error: 0.121012 / Layer sizes: 10 9 4 1 Training error: 0.001308 / Test error: 0.086959 / Layer sizes: 10 9 4 1 Training error: 0.001292 / Test error: 0.085304 / Layer sizes: 10 9 4 1 Training error: 0.001268 / Test error: 0.082678 / Layer sizes: 10 9 4 1 Training error: 0.000113 / Test error: 0.082568 / Layer sizes: 10 9 4 1 Training error: 0.000113 / Test error: 0.041476 / Layer sizes: 10 9 4 1 Training error: 0.000108 / Test error: 0.041294 / Layer sizes: 10 9 4 1 Training error: 0.000107 / Test error: 0.040923 / Layer sizes: 10 9 4 1 Training error: 0.000107 / Test error: 0.040185 / Layer sizes: 10 9 4 1 Training error: 0.000096 / Test error: 0.019106 / Layer sizes: 10 9 4 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. 82.45 % correct. 17.55 % wrong. Limit: 17.40 %. 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.12549 + 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.gbQmlK 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.KV6lhH find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) 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), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.aoxfZG 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.EGvhrJ find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.4iJfGO 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 71.06user 0.49system 1:36.73elapsed 73%CPU (0avgtext+0avgdata 45064maxresident)k 0inputs+0outputs (0major+149164minor)pagefaults 0swaps 78.77user 2.80system 1:51.25elapsed 73%CPU (0avgtext+0avgdata 125236maxresident)k 0inputs+0outputs (0major+498356minor)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 2019-03-10 02:41:20.681204472 +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)