<86>Apr 14 02:21:48 userdel[18723]: delete user 'rooter' <86>Apr 14 02:21:48 userdel[18723]: removed group 'rooter' owned by 'rooter' <86>Apr 14 02:21:48 userdel[18723]: removed shadow group 'rooter' owned by 'rooter' <86>Apr 14 02:21:48 groupadd[18776]: group added to /etc/group: name=rooter, GID=639 <86>Apr 14 02:21:48 groupadd[18776]: group added to /etc/gshadow: name=rooter <86>Apr 14 02:21:48 groupadd[18776]: new group: name=rooter, GID=639 <86>Apr 14 02:21:48 useradd[18829]: new user: name=rooter, UID=639, GID=639, home=/root, shell=/bin/bash <86>Apr 14 02:21:48 userdel[18866]: delete user 'builder' <86>Apr 14 02:21:48 userdel[18866]: removed group 'builder' owned by 'builder' <86>Apr 14 02:21:48 userdel[18866]: removed shadow group 'builder' owned by 'builder' <86>Apr 14 02:21:48 groupadd[18900]: group added to /etc/group: name=builder, GID=640 <86>Apr 14 02:21:48 groupadd[18900]: group added to /etc/gshadow: name=builder <86>Apr 14 02:21:48 groupadd[18900]: new group: name=builder, GID=640 <86>Apr 14 02:21:48 useradd[18938]: new user: name=builder, UID=640, GID=640, home=/usr/src, shell=/bin/bash <13>Apr 14 02:21:52 rpmi: libruby-2.5.1-alt0.M80P.1 1525659669 installed <13>Apr 14 02:21:52 rpmi: libyaml2-0.1.6-alt1 1397147705 installed <13>Apr 14 02:21:52 rpmi: libverto-0.2.6-alt1_6 1455633234 installed <13>Apr 14 02:21:52 rpmi: libkeyutils-1.5.10-alt0.M80P.2 p8+216694.100.6.1 1547827915 installed <13>Apr 14 02:21:52 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Apr 14 02:21:52 rpmi: libcom_err-1.42.13-alt2 1449075846 installed <13>Apr 14 02:21:52 rpmi: ca-certificates-2016.02.25-alt1 1462368370 installed <13>Apr 14 02:21:52 rpmi: libcrypto10-1.0.2n-alt0.M80P.1 1512766129 installed <13>Apr 14 02:21:52 rpmi: ruby-2.5.1-alt0.M80P.1 1525659669 installed <13>Apr 14 02:21:52 rpmi: libssl10-1.0.2n-alt0.M80P.1 1512766129 installed <86>Apr 14 02:21:52 groupadd[30428]: group added to /etc/group: name=_keytab, GID=499 <86>Apr 14 02:21:52 groupadd[30428]: new group: name=_keytab, GID=499 <13>Apr 14 02:21:52 rpmi: libkrb5-1.14.6-alt1.M80P.1 1525355673 installed <13>Apr 14 02:21:52 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.2443 + 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/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + 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.2443 + 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.65967 + 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.65967 + 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: 0.979420 / Test error: 1.006198 / Layer sizes: 10 1 Training error: 0.995711 / Test error: 0.987972 / Layer sizes: 10 3 3 1 Training error: 0.993102 / Test error: 0.980026 / Layer sizes: 10 9 4 1 Training error: 0.991549 / Test error: 0.977007 / Layer sizes: 10 10 1 Training error: 0.989866 / Test error: 0.968956 / Layer sizes: 10 9 4 1 Training error: 0.988380 / Test error: 0.963209 / Layer sizes: 10 9 4 1 Training error: 0.987580 / Test error: 0.958105 / Layer sizes: 10 10 10 1 Training error: 0.893621 / Test error: 0.948323 / Layer sizes: 10 1 Training error: 0.976819 / Test error: 0.948200 / Layer sizes: 10 7 1 Training error: 0.983649 / Test error: 0.937115 / Layer sizes: 10 10 10 1 Training error: 0.972319 / Test error: 0.937026 / Layer sizes: 10 7 1 Training error: 0.825322 / Test error: 0.900640 / Layer sizes: 10 1 Training error: 0.807284 / Test error: 0.859048 / Layer sizes: 10 1 Training error: 0.779959 / Test error: 0.836394 / Layer sizes: 10 1 Training error: 0.760591 / Test error: 0.827294 / Layer sizes: 10 1 Training error: 0.739538 / Test error: 0.813045 / Layer sizes: 10 1 Training error: 0.717038 / Test error: 0.801309 / Layer sizes: 10 1 Training error: 0.699845 / Test error: 0.792671 / Layer sizes: 10 1 Training error: 0.691984 / Test error: 0.791706 / Layer sizes: 10 1 Training error: 0.678604 / Test error: 0.764007 / Layer sizes: 10 1 Training error: 0.663268 / Test error: 0.761167 / Layer sizes: 10 1 Training error: 0.659928 / Test error: 0.738511 / Layer sizes: 10 1 Training error: 0.638409 / Test error: 0.727234 / Layer sizes: 10 1 Training error: 0.632961 / Test error: 0.717225 / Layer sizes: 10 1 Training error: 0.620043 / Test error: 0.684174 / Layer sizes: 10 1 Training error: 0.593467 / Test error: 0.662527 / Layer sizes: 10 1 Training error: 0.577052 / Test error: 0.660287 / Layer sizes: 10 1 Training error: 0.567455 / Test error: 0.654690 / Layer sizes: 10 1 Training error: 0.564241 / Test error: 0.636794 / Layer sizes: 10 1 Training error: 0.560230 / Test error: 0.606248 / Layer sizes: 10 1 Training error: 0.554680 / Test error: 0.591037 / Layer sizes: 10 1 Training error: 0.530568 / Test error: 0.575203 / Layer sizes: 10 1 Training error: 0.506496 / Test error: 0.571009 / Layer sizes: 10 1 Training error: 0.502091 / Test error: 0.547912 / Layer sizes: 10 1 Training error: 0.499559 / Test error: 0.544170 / Layer sizes: 10 1 Training error: 0.494002 / Test error: 0.541286 / Layer sizes: 10 1 Training error: 0.466613 / Test error: 0.536222 / Layer sizes: 10 1 Training error: 0.462583 / Test error: 0.530752 / Layer sizes: 10 1 Training error: 0.458432 / Test error: 0.522986 / Layer sizes: 10 1 Training error: 0.455327 / Test error: 0.516906 / Layer sizes: 10 1 Training error: 0.451735 / Test error: 0.497141 / Layer sizes: 10 1 Training error: 0.446969 / Test error: 0.487543 / Layer sizes: 10 1 Training error: 0.444755 / Test error: 0.467663 / Layer sizes: 10 1 Training error: 0.436394 / Test error: 0.453354 / Layer sizes: 10 1 Training error: 0.432095 / Test error: 0.443001 / Layer sizes: 10 1 Training error: 0.418564 / Test error: 0.441618 / Layer sizes: 10 1 Training error: 0.413614 / Test error: 0.440699 / Layer sizes: 10 1 Training error: 0.444232 / Test error: 0.439807 / Layer sizes: 10 10 10 1 Training error: 0.440792 / Test error: 0.436370 / Layer sizes: 10 10 10 1 Training error: 0.426565 / Test error: 0.433909 / Layer sizes: 10 10 10 1 Training error: 0.421659 / Test error: 0.420622 / Layer sizes: 10 10 10 1 Training error: 0.417437 / Test error: 0.415748 / Layer sizes: 10 10 10 1 Training error: 0.430931 / Test error: 0.408771 / Layer sizes: 10 10 1 Training error: 0.404464 / Test error: 0.406610 / Layer sizes: 10 10 1 Training error: 0.401753 / Test error: 0.392500 / Layer sizes: 10 10 1 Training error: 0.399680 / Test error: 0.389022 / Layer sizes: 10 10 1 Training error: 0.412610 / Test error: 0.387553 / Layer sizes: 10 3 1 Training error: 0.403029 / Test error: 0.377791 / Layer sizes: 10 3 1 Training error: 0.400855 / Test error: 0.373495 / Layer sizes: 10 3 1 Training error: 0.388478 / Test error: 0.372132 / Layer sizes: 10 3 1 Training error: 0.381114 / Test error: 0.369081 / Layer sizes: 10 3 1 Training error: 0.379213 / Test error: 0.363045 / Layer sizes: 10 3 1 Training error: 0.375315 / Test error: 0.357687 / Layer sizes: 10 3 1 Training error: 0.354997 / Test error: 0.356940 / Layer sizes: 10 10 1 Training error: 0.348293 / Test error: 0.348478 / Layer sizes: 10 10 1 Training error: 0.342726 / Test error: 0.339725 / Layer sizes: 10 10 1 Training error: 0.336783 / Test error: 0.333312 / Layer sizes: 10 10 1 Training error: 0.333979 / Test error: 0.327718 / Layer sizes: 10 10 1 Training error: 0.331291 / Test error: 0.321401 / Layer sizes: 10 10 1 Training error: 0.259679 / Test error: 0.319243 / Layer sizes: 10 10 1 Training error: 0.256744 / Test error: 0.304527 / Layer sizes: 10 10 1 Training error: 0.249795 / Test error: 0.303669 / Layer sizes: 10 7 1 Training error: 0.237706 / Test error: 0.300231 / Layer sizes: 10 7 1 Training error: 0.224563 / Test error: 0.288336 / Layer sizes: 10 7 1 Training error: 0.223222 / Test error: 0.285741 / Layer sizes: 10 7 1 Training error: 0.213931 / Test error: 0.282022 / Layer sizes: 10 7 1 Training error: 0.213548 / Test error: 0.273999 / Layer sizes: 10 7 1 Training error: 0.211541 / Test error: 0.257428 / Layer sizes: 10 7 1 Training error: 0.149829 / Test error: 0.252255 / Layer sizes: 10 7 1 Training error: 0.149583 / Test error: 0.252216 / Layer sizes: 10 7 1 Training error: 0.149278 / Test error: 0.250635 / Layer sizes: 10 7 1 Training error: 0.148996 / Test error: 0.237644 / Layer sizes: 10 7 1 Training error: 0.145975 / Test error: 0.230504 / Layer sizes: 10 7 1 Training error: 0.135276 / Test error: 0.219226 / Layer sizes: 10 7 1 Training error: 0.133435 / Test error: 0.216056 / Layer sizes: 10 7 1 Training error: 0.129348 / Test error: 0.208207 / Layer sizes: 10 7 1 Training error: 0.126576 / Test error: 0.201700 / Layer sizes: 10 7 1 Training error: 0.119764 / Test error: 0.201470 / Layer sizes: 10 7 1 Training error: 0.119095 / Test error: 0.181591 / Layer sizes: 10 7 1 Training error: 0.050675 / Test error: 0.181151 / Layer sizes: 10 7 1 Training error: 0.050527 / Test error: 0.179682 / Layer sizes: 10 7 1 Training error: 0.049565 / Test error: 0.172578 / Layer sizes: 10 7 1 Training error: 0.052917 / Test error: 0.170670 / Layer sizes: 10 10 1 Training error: 0.052815 / Test error: 0.170117 / Layer sizes: 10 10 1 Training error: 0.052639 / Test error: 0.166388 / Layer sizes: 10 10 1 Training error: 0.052542 / Test error: 0.160218 / Layer sizes: 10 10 1 Training error: 0.052499 / Test error: 0.155917 / Layer sizes: 10 10 1 Training error: 0.051320 / Test error: 0.154043 / Layer sizes: 10 10 1 Training error: 0.051222 / Test error: 0.153364 / Layer sizes: 10 10 1 Training error: 0.001755 / Test error: 0.140376 / Layer sizes: 10 10 10 1 Training error: 0.001543 / Test error: 0.135570 / Layer sizes: 10 10 10 1 Training error: 0.001421 / Test error: 0.129413 / Layer sizes: 10 10 10 1 Training error: 0.001411 / Test error: 0.123161 / Layer sizes: 10 10 10 1 Training error: 0.000105 / Test error: 0.123048 / Layer sizes: 10 10 10 1 Training error: 0.000089 / Test error: 0.123003 / Layer sizes: 10 10 10 1 Training error: 0.000065 / Test error: 0.120424 / Layer sizes: 10 10 10 1 Training error: 0.000064 / Test error: 0.082488 / Layer sizes: 10 10 10 1 Training error: 0.000064 / Test error: 0.082480 / Layer sizes: 10 10 10 1 Training error: 0.000063 / Test error: 0.082471 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041667 / 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. 84.89 % correct. 15.11 % wrong. Limit: 17.83 %. 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.60600 + 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.spUcH0 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.eKYkkc 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.S6NGGq 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.onooMH find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.6hSmB1 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 75.26user 0.36system 1:36.45elapsed 78%CPU (0avgtext+0avgdata 44352maxresident)k 0inputs+0outputs (0major+149208minor)pagefaults 0swaps 78.01user 2.20system 1:43.58elapsed 77%CPU (0avgtext+0avgdata 121800maxresident)k 0inputs+0outputs (0major+368278minor)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 2019-04-14 02:23:30.441305885 +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)