<86>Dec 14 02:53:23 userdel[30694]: delete user 'rooter' <86>Dec 14 02:53:23 userdel[30694]: removed group 'rooter' owned by 'rooter' <86>Dec 14 02:53:23 userdel[30694]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 14 02:53:23 groupadd[30722]: group added to /etc/group: name=rooter, GID=531 <86>Dec 14 02:53:23 groupadd[30722]: group added to /etc/gshadow: name=rooter <86>Dec 14 02:53:23 groupadd[30722]: new group: name=rooter, GID=531 <86>Dec 14 02:53:23 useradd[30747]: new user: name=rooter, UID=531, GID=531, home=/root, shell=/bin/bash <86>Dec 14 02:53:23 userdel[30774]: delete user 'builder' <86>Dec 14 02:53:23 userdel[30774]: removed group 'builder' owned by 'builder' <86>Dec 14 02:53:23 userdel[30774]: removed shadow group 'builder' owned by 'builder' <86>Dec 14 02:53:23 groupadd[30806]: group added to /etc/group: name=builder, GID=532 <86>Dec 14 02:53:23 groupadd[30806]: group added to /etc/gshadow: name=builder <86>Dec 14 02:53:23 groupadd[30806]: new group: name=builder, GID=532 <86>Dec 14 02:53:23 useradd[30825]: new user: name=builder, UID=532, GID=532, home=/usr/src, shell=/bin/bash <13>Dec 14 02:53:26 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464409 installed <13>Dec 14 02:53:26 rpmi: libverto-0.3.0-alt1_5 1525957716 installed <13>Dec 14 02:53:26 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Dec 14 02:53:26 rpmi: libkeyutils-1.6-alt2 sisyphus.217337.100 1544003165 installed <13>Dec 14 02:53:26 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Dec 14 02:53:26 rpmi: libcom_err-1.44.3-alt1 1532134713 installed <13>Dec 14 02:53:26 rpmi: libtasn1-4.13-alt2 1521133848 installed <13>Dec 14 02:53:27 rpmi: libp11-kit-0.23.9-alt5 1525798241 installed <13>Dec 14 02:53:27 rpmi: rpm-macros-alternatives-0.4.5-alt1.1 1404382149 installed <13>Dec 14 02:53:27 rpmi: alternatives-0.4.5-alt1.1 1404382149 installed <13>Dec 14 02:53:27 rpmi: ca-certificates-2018.11.12-alt1 sisyphus.216395.300 1542114035 installed <13>Dec 14 02:53:27 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Dec 14 02:53:27 rpmi: p11-kit-trust-0.23.9-alt5 1525798241 installed <13>Dec 14 02:53:27 rpmi: libcrypto1.1-1.1.0j-alt1 sisyphus.216647.100 1542743840 installed <13>Dec 14 02:53:27 rpmi: libcrypto10-1.0.2p-alt2 1535474143 installed <13>Dec 14 02:53:27 rpmi: libssl1.1-1.1.0j-alt1 sisyphus.216647.100 1542743840 installed <86>Dec 14 02:53:27 groupadd[3680]: group added to /etc/group: name=_keytab, GID=499 <86>Dec 14 02:53:27 groupadd[3680]: group added to /etc/gshadow: name=_keytab <86>Dec 14 02:53:27 groupadd[3680]: new group: name=_keytab, GID=499 <13>Dec 14 02:53:27 rpmi: libkrb5-1.16.2-alt2 sisyphus.216877.200 1543483170 installed <13>Dec 14 02:53:27 rpmi: libssl10-1.0.2p-alt2 1535474143 installed <13>Dec 14 02:53:27 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Dec 14 02:53:27 rpmi: ruby-2.5.1-alt4 sisyphus.209945.120 1537061429 installed Building target platforms: x86_64 Building for target x86_64 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: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.81283 + 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.23085 + 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' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -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:910:107: 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:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_input_cols; ^~~~~~~~~~~~~~~~~~~~~ auto-nng.c:872:91: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] for (i = 0; i < binary_input_count; i++) input_values[i] = values[binary_input_cols[i]]; ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.74317 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.19335 + 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: 0.975456 / Test error: 0.966193 / Layer sizes: 10 1 Training error: 0.932031 / Test error: 0.927404 / Layer sizes: 10 1 Training error: 0.921614 / Test error: 0.907387 / Layer sizes: 10 1 Training error: 0.902825 / Test error: 0.904489 / Layer sizes: 10 7 1 Training error: 0.892852 / Test error: 0.900738 / Layer sizes: 10 7 1 Training error: 0.881638 / Test error: 0.892172 / Layer sizes: 10 7 1 Training error: 0.843153 / Test error: 0.884574 / Layer sizes: 10 1 Training error: 0.830140 / Test error: 0.883034 / Layer sizes: 10 1 Training error: 0.854545 / Test error: 0.876939 / Layer sizes: 10 7 1 Training error: 0.836036 / Test error: 0.864813 / Layer sizes: 10 7 1 Training error: 0.821540 / Test error: 0.852355 / Layer sizes: 10 7 1 Training error: 0.817697 / Test error: 0.843874 / Layer sizes: 10 7 1 Training error: 0.814624 / Test error: 0.843855 / Layer sizes: 10 7 1 Training error: 0.807875 / Test error: 0.839517 / Layer sizes: 10 7 1 Training error: 0.796958 / Test error: 0.838529 / Layer sizes: 10 7 1 Training error: 0.794106 / Test error: 0.837390 / Layer sizes: 10 7 1 Training error: 0.790417 / Test error: 0.831219 / Layer sizes: 10 7 1 Training error: 0.771537 / Test error: 0.827922 / Layer sizes: 10 7 1 Training error: 0.762255 / Test error: 0.814580 / Layer sizes: 10 7 1 Training error: 0.723131 / Test error: 0.808150 / Layer sizes: 10 1 Training error: 0.705053 / Test error: 0.807477 / Layer sizes: 10 1 Training error: 0.692694 / Test error: 0.795948 / Layer sizes: 10 1 Training error: 0.679133 / Test error: 0.770344 / Layer sizes: 10 1 Training error: 0.686102 / Test error: 0.758827 / Layer sizes: 10 7 1 Training error: 0.675947 / Test error: 0.748792 / Layer sizes: 10 7 1 Training error: 0.668421 / Test error: 0.739159 / Layer sizes: 10 7 1 Training error: 0.651513 / Test error: 0.724598 / Layer sizes: 10 7 1 Training error: 0.637982 / Test error: 0.713884 / Layer sizes: 10 7 1 Training error: 0.629488 / Test error: 0.711179 / Layer sizes: 10 7 1 Training error: 0.628345 / Test error: 0.710099 / Layer sizes: 10 7 1 Training error: 0.622580 / Test error: 0.707871 / Layer sizes: 10 7 1 Training error: 0.616905 / Test error: 0.699500 / Layer sizes: 10 7 1 Training error: 0.597547 / Test error: 0.673445 / Layer sizes: 10 7 1 Training error: 0.592572 / Test error: 0.672760 / Layer sizes: 10 7 1 Training error: 0.552896 / Test error: 0.645063 / Layer sizes: 10 7 1 Training error: 0.542940 / Test error: 0.643971 / Layer sizes: 10 7 1 Training error: 0.564235 / Test error: 0.638650 / Layer sizes: 10 1 Training error: 0.546287 / Test error: 0.618454 / Layer sizes: 10 1 Training error: 0.544376 / Test error: 0.615019 / Layer sizes: 10 1 Training error: 0.538374 / Test error: 0.603983 / Layer sizes: 10 1 Training error: 0.534298 / Test error: 0.594610 / Layer sizes: 10 1 Training error: 0.521907 / Test error: 0.577119 / Layer sizes: 10 1 Training error: 0.511114 / Test error: 0.563046 / Layer sizes: 10 1 Training error: 0.499016 / Test error: 0.556780 / Layer sizes: 10 1 Training error: 0.497629 / Test error: 0.546603 / Layer sizes: 10 1 Training error: 0.482125 / Test error: 0.545446 / Layer sizes: 10 1 Training error: 0.452038 / Test error: 0.530866 / Layer sizes: 10 1 Training error: 0.447093 / Test error: 0.520986 / Layer sizes: 10 1 Training error: 0.372739 / Test error: 0.516211 / Layer sizes: 10 7 1 Training error: 0.367348 / Test error: 0.505015 / Layer sizes: 10 7 1 Training error: 0.432916 / Test error: 0.503860 / Layer sizes: 10 3 1 Training error: 0.346533 / Test error: 0.492322 / Layer sizes: 10 7 1 Training error: 0.346465 / Test error: 0.488526 / Layer sizes: 10 7 1 Training error: 0.339018 / Test error: 0.485827 / Layer sizes: 10 7 1 Training error: 0.338738 / Test error: 0.478833 / Layer sizes: 10 7 1 Training error: 0.327658 / Test error: 0.472202 / Layer sizes: 10 7 1 Training error: 0.314573 / Test error: 0.460325 / Layer sizes: 10 7 1 Training error: 0.312842 / Test error: 0.454697 / Layer sizes: 10 7 1 Training error: 0.309732 / Test error: 0.452924 / Layer sizes: 10 7 1 Training error: 0.307906 / Test error: 0.449507 / Layer sizes: 10 10 1 Training error: 0.322561 / Test error: 0.449207 / Layer sizes: 10 3 1 Training error: 0.319855 / Test error: 0.437495 / Layer sizes: 10 3 1 Training error: 0.276062 / Test error: 0.434737 / Layer sizes: 10 10 1 Training error: 0.330326 / Test error: 0.426967 / Layer sizes: 10 9 4 1 Training error: 0.295179 / Test error: 0.425831 / Layer sizes: 10 3 1 Training error: 0.293322 / Test error: 0.422814 / Layer sizes: 10 3 1 Training error: 0.283729 / Test error: 0.419949 / Layer sizes: 10 3 1 Training error: 0.266233 / Test error: 0.419822 / Layer sizes: 10 9 4 1 Training error: 0.227138 / Test error: 0.416879 / Layer sizes: 10 10 1 Training error: 0.254887 / Test error: 0.415734 / Layer sizes: 10 10 10 1 Training error: 0.238448 / Test error: 0.415488 / Layer sizes: 10 3 1 Training error: 0.234439 / Test error: 0.412274 / Layer sizes: 10 10 10 1 Training error: 0.193792 / Test error: 0.405619 / Layer sizes: 10 9 4 1 Training error: 0.192848 / Test error: 0.403819 / Layer sizes: 10 9 4 1 Training error: 0.185534 / Test error: 0.403257 / Layer sizes: 10 9 4 1 Training error: 0.184477 / Test error: 0.393369 / Layer sizes: 10 9 4 1 Training error: 0.127302 / Test error: 0.376568 / Layer sizes: 10 10 10 1 Training error: 0.022188 / Test error: 0.372203 / Layer sizes: 10 10 10 1 Training error: 0.021531 / Test error: 0.368520 / Layer sizes: 10 10 10 1 Training error: 0.021201 / Test error: 0.364118 / Layer sizes: 10 10 10 1 Training error: 0.020747 / Test error: 0.349649 / Layer sizes: 10 10 10 1 Training error: 0.003048 / Test error: 0.335391 / Layer sizes: 10 10 10 1 Training error: 0.002955 / Test error: 0.323435 / Layer sizes: 10 10 10 1 Training error: 0.045255 / Test error: 0.318545 / Layer sizes: 10 10 1 Training error: 0.045055 / Test error: 0.317872 / Layer sizes: 10 10 1 Training error: 0.045012 / Test error: 0.313534 / Layer sizes: 10 10 1 Training error: 0.044671 / Test error: 0.306160 / Layer sizes: 10 10 1 Training error: 0.024757 / Test error: 0.301159 / Layer sizes: 10 10 1 Training error: 0.000337 / Test error: 0.283111 / Layer sizes: 10 10 10 1 Training error: 0.011258 / Test error: 0.268460 / Layer sizes: 10 10 1 Training error: 0.011039 / Test error: 0.264874 / Layer sizes: 10 10 1 Training error: 0.011010 / Test error: 0.258161 / Layer sizes: 10 10 1 Training error: 0.010910 / Test error: 0.253600 / Layer sizes: 10 10 1 Training error: 0.010641 / Test error: 0.242432 / Layer sizes: 10 10 1 Training error: 0.010545 / Test error: 0.241349 / Layer sizes: 10 10 1 Training error: 0.010499 / Test error: 0.239527 / Layer sizes: 10 10 1 Training error: 0.010383 / Test error: 0.238617 / Layer sizes: 10 10 1 Training error: 0.001843 / Test error: 0.234202 / Layer sizes: 10 10 1 Training error: 0.001736 / Test error: 0.233453 / Layer sizes: 10 10 1 Training error: 0.001493 / Test error: 0.216037 / Layer sizes: 10 10 1 Training error: 0.001470 / Test error: 0.214211 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.208332 / 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. 83.72 % correct. 16.28 % wrong. Limit: 17.97 %. 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.62069 + 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.cs9EPS 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.xez5Za 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.c6QhLw 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.a5XinW find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.GokrKp 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 95.74user 0.99system 1:41.18elapsed 95%CPU (0avgtext+0avgdata 45760maxresident)k 0inputs+0outputs (0major+182018minor)pagefaults 0swaps 111.14user 6.90system 2:02.96elapsed 95%CPU (0avgtext+0avgdata 122820maxresident)k 0inputs+0outputs (0major+615151minor)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 2018-12-14 02:55:14.316312041 +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)