<86>Mar 16 15:24:09 userdel[2832641]: delete user 'rooter' <86>Mar 16 15:24:09 groupadd[2832695]: group added to /etc/group: name=rooter, GID=675 <86>Mar 16 15:24:09 groupadd[2832695]: group added to /etc/gshadow: name=rooter <86>Mar 16 15:24:09 groupadd[2832695]: new group: name=rooter, GID=675 <86>Mar 16 15:24:09 useradd[2832804]: new user: name=rooter, UID=675, GID=675, home=/root, shell=/bin/bash <86>Mar 16 15:24:09 userdel[2833086]: delete user 'builder' <86>Mar 16 15:24:09 userdel[2833086]: removed group 'builder' owned by 'builder' <86>Mar 16 15:24:09 userdel[2833086]: removed shadow group 'builder' owned by 'builder' <86>Mar 16 15:24:09 groupadd[2833145]: group added to /etc/group: name=builder, GID=676 <86>Mar 16 15:24:09 groupadd[2833145]: group added to /etc/gshadow: name=builder <86>Mar 16 15:24:09 groupadd[2833145]: new group: name=builder, GID=676 <86>Mar 16 15:24:10 useradd[2833207]: new user: name=builder, UID=676, GID=676, home=/usr/src, shell=/bin/bash <13>Mar 16 15:24:14 rpmi: libruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Mar 16 15:24:14 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Mar 16 15:24:14 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Mar 16 15:24:14 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Mar 16 15:24:14 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Mar 16 15:24:14 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 16 15:24:14 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 16 15:24:14 rpmi: ca-certificates-2021.01.27-alt1 sisyphus+265371.200.1.1 1611759824 installed <13>Mar 16 15:24:14 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Mar 16 15:24:14 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Mar 16 15:24:14 rpmi: libcrypto1.1-1.1.1j-alt1 sisyphus+267718.100.1.1 1615557676 installed <13>Mar 16 15:24:14 rpmi: libssl1.1-1.1.1j-alt1 sisyphus+267718.100.1.1 1615557676 installed <13>Mar 16 15:24:14 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Mar 16 15:24:14 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Mar 16 15:24:14 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Mar 16 15:24:14 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Mar 16 15:24:14 rpmi: gem-2:3.1.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Mar 16 15:24:14 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 16 15:24:14 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 16 15:24:14 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 16 15:24:14 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Mar 16 15:24:14 rpmi: erb-0:2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Mar 16 15:24:14 rpmi: irb-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Mar 16 15:24:15 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Mar 16 15:24:15 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Mar 16 15:24:15 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Mar 16 15:24:17 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Mar 16 15:24:17 rpmi: ruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Mar 16 15:24:17 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 (w1.gzdio) 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.54482 + 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.54482 + 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: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: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: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.11368 + 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 + PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games + 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,gnuconfig) 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.59512 + 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: 0.977894 / Test error: 0.979901 / Layer sizes: 10 1 Training error: 0.955213 / Test error: 0.935168 / Layer sizes: 10 1 Training error: 0.889054 / Test error: 0.912441 / Layer sizes: 10 1 Training error: 0.869475 / Test error: 0.899839 / Layer sizes: 10 1 Training error: 0.861272 / Test error: 0.877019 / Layer sizes: 10 1 Training error: 0.854650 / Test error: 0.862293 / Layer sizes: 10 1 Training error: 0.832235 / Test error: 0.857645 / Layer sizes: 10 1 Training error: 0.831439 / Test error: 0.837079 / Layer sizes: 10 1 Training error: 0.827743 / Test error: 0.824406 / Layer sizes: 10 1 Training error: 0.805296 / Test error: 0.786317 / Layer sizes: 10 1 Training error: 0.768888 / Test error: 0.759286 / Layer sizes: 10 1 Training error: 0.751829 / Test error: 0.736955 / Layer sizes: 10 1 Training error: 0.732368 / Test error: 0.714686 / Layer sizes: 10 1 Training error: 0.717883 / Test error: 0.698366 / Layer sizes: 10 1 Training error: 0.695096 / Test error: 0.678192 / Layer sizes: 10 1 Training error: 0.691073 / Test error: 0.664560 / Layer sizes: 10 1 Training error: 0.680433 / Test error: 0.645907 / Layer sizes: 10 1 Training error: 0.679136 / Test error: 0.634828 / Layer sizes: 10 1 Training error: 0.647744 / Test error: 0.624599 / Layer sizes: 10 1 Training error: 0.642030 / Test error: 0.614794 / Layer sizes: 10 1 Training error: 0.620595 / Test error: 0.599300 / Layer sizes: 10 1 Training error: 0.559791 / Test error: 0.585909 / Layer sizes: 10 1 Training error: 0.523502 / Test error: 0.547920 / Layer sizes: 10 1 Training error: 0.518661 / Test error: 0.547455 / Layer sizes: 10 1 Training error: 0.503489 / Test error: 0.535098 / Layer sizes: 10 1 Training error: 0.479019 / Test error: 0.521108 / Layer sizes: 10 1 Training error: 0.439954 / Test error: 0.519388 / Layer sizes: 10 1 Training error: 0.439816 / Test error: 0.501295 / Layer sizes: 10 1 Training error: 0.437334 / Test error: 0.497418 / Layer sizes: 10 1 Training error: 0.429598 / Test error: 0.483361 / Layer sizes: 10 1 Training error: 0.424269 / Test error: 0.479522 / Layer sizes: 10 1 Training error: 0.422255 / Test error: 0.469531 / Layer sizes: 10 1 Training error: 0.414211 / Test error: 0.461648 / Layer sizes: 10 1 Training error: 0.405002 / Test error: 0.451935 / Layer sizes: 10 1 Training error: 0.397326 / Test error: 0.444578 / Layer sizes: 10 1 Training error: 0.366783 / Test error: 0.444196 / Layer sizes: 10 1 Training error: 0.363703 / Test error: 0.437758 / Layer sizes: 10 1 Training error: 0.332960 / Test error: 0.424210 / Layer sizes: 10 1 Training error: 0.311485 / Test error: 0.419797 / Layer sizes: 10 1 Training error: 0.310216 / Test error: 0.412904 / Layer sizes: 10 1 Training error: 0.305574 / Test error: 0.409827 / Layer sizes: 10 1 Training error: 0.339190 / Test error: 0.408437 / Layer sizes: 10 3 1 Training error: 0.299064 / Test error: 0.406108 / Layer sizes: 10 1 Training error: 0.336461 / Test error: 0.403774 / Layer sizes: 10 3 1 Training error: 0.303258 / Test error: 0.396541 / Layer sizes: 10 7 1 Training error: 0.294458 / Test error: 0.394600 / Layer sizes: 10 1 Training error: 0.294211 / Test error: 0.384924 / Layer sizes: 10 1 Training error: 0.292922 / Test error: 0.382748 / Layer sizes: 10 1 Training error: 0.354943 / Test error: 0.380714 / Layer sizes: 10 3 3 1 Training error: 0.285223 / Test error: 0.375156 / Layer sizes: 10 1 Training error: 0.327958 / Test error: 0.373964 / Layer sizes: 10 9 4 1 Training error: 0.325784 / Test error: 0.373313 / Layer sizes: 10 9 4 1 Training error: 0.280612 / Test error: 0.373301 / Layer sizes: 10 3 3 1 Training error: 0.278270 / Test error: 0.371652 / Layer sizes: 10 1 Training error: 0.277853 / Test error: 0.363085 / Layer sizes: 10 1 Training error: 0.277565 / Test error: 0.360286 / Layer sizes: 10 1 Training error: 0.297041 / Test error: 0.354263 / Layer sizes: 10 9 4 1 Training error: 0.290045 / Test error: 0.344817 / Layer sizes: 10 9 4 1 Training error: 0.287039 / Test error: 0.334713 / Layer sizes: 10 9 4 1 Training error: 0.272754 / Test error: 0.334232 / Layer sizes: 10 9 4 1 Training error: 0.252253 / Test error: 0.333553 / Layer sizes: 10 3 1 Training error: 0.251794 / Test error: 0.330246 / Layer sizes: 10 3 1 Training error: 0.180347 / Test error: 0.321864 / Layer sizes: 10 10 10 1 Training error: 0.173098 / Test error: 0.321490 / Layer sizes: 10 10 10 1 Training error: 0.197379 / Test error: 0.320364 / Layer sizes: 10 9 4 1 Training error: 0.102089 / Test error: 0.316714 / Layer sizes: 10 7 1 Training error: 0.182045 / Test error: 0.315095 / Layer sizes: 10 3 1 Training error: 0.181021 / Test error: 0.309306 / Layer sizes: 10 3 1 Training error: 0.176745 / Test error: 0.303288 / Layer sizes: 10 3 1 Training error: 0.089909 / Test error: 0.302133 / Layer sizes: 10 10 10 1 Training error: 0.095847 / Test error: 0.295859 / Layer sizes: 10 7 1 Training error: 0.093575 / Test error: 0.293124 / Layer sizes: 10 7 1 Training error: 0.092847 / Test error: 0.292937 / Layer sizes: 10 7 1 Training error: 0.088661 / Test error: 0.292410 / Layer sizes: 10 10 10 1 Training error: 0.088235 / Test error: 0.285442 / Layer sizes: 10 10 10 1 Training error: 0.075332 / Test error: 0.280242 / Layer sizes: 10 10 10 1 Training error: 0.068249 / Test error: 0.279239 / Layer sizes: 10 7 1 Training error: 0.062574 / Test error: 0.278072 / Layer sizes: 10 7 1 Training error: 0.062196 / Test error: 0.266260 / Layer sizes: 10 7 1 Training error: 0.061750 / Test error: 0.265391 / Layer sizes: 10 7 1 Training error: 0.061577 / Test error: 0.264010 / Layer sizes: 10 7 1 Training error: 0.053325 / Test error: 0.258679 / Layer sizes: 10 10 10 1 Training error: 0.052282 / Test error: 0.257694 / Layer sizes: 10 10 10 1 Training error: 0.052036 / Test error: 0.253974 / Layer sizes: 10 10 10 1 Training error: 0.051894 / Test error: 0.253636 / Layer sizes: 10 10 10 1 Training error: 0.051893 / Test error: 0.244995 / Layer sizes: 10 10 10 1 Training error: 0.051704 / Test error: 0.233259 / Layer sizes: 10 10 10 1 Training error: 0.051693 / Test error: 0.230992 / Layer sizes: 10 10 10 1 Training error: 0.051670 / Test error: 0.230581 / Layer sizes: 10 10 10 1 Training error: 0.050757 / Test error: 0.230389 / Layer sizes: 10 10 10 1 Training error: 0.045128 / Test error: 0.227629 / Layer sizes: 10 10 10 1 Training error: 0.044909 / Test error: 0.226225 / Layer sizes: 10 10 10 1 Training error: 0.044270 / Test error: 0.224089 / Layer sizes: 10 10 10 1 Training error: 0.044117 / Test error: 0.223760 / Layer sizes: 10 10 10 1 Training error: 0.044063 / Test error: 0.222221 / Layer sizes: 10 10 10 1 Training error: 0.043992 / Test error: 0.219332 / Layer sizes: 10 10 10 1 Training error: 0.043967 / Test error: 0.216459 / Layer sizes: 10 10 10 1 Training error: 0.043934 / Test error: 0.210448 / Layer sizes: 10 10 10 1 Training error: 0.042970 / Test error: 0.209801 / Layer sizes: 10 10 10 1 Training error: 0.042648 / Test error: 0.209254 / Layer sizes: 10 10 10 1 Training error: 0.042590 / Test error: 0.208431 / Layer sizes: 10 10 10 1 Training error: 0.042209 / Test error: 0.205528 / Layer sizes: 10 10 10 1 Training error: 0.041592 / Test error: 0.203589 / Layer sizes: 10 10 10 1 Training error: 0.041351 / Test error: 0.202399 / Layer sizes: 10 10 10 1 Training error: 0.088628 / Test error: 0.202228 / Layer sizes: 10 3 3 1 Training error: 0.087477 / Test error: 0.201578 / Layer sizes: 10 3 3 1 Training error: 0.087113 / Test error: 0.200219 / Layer sizes: 10 3 3 1 Training error: 0.086520 / Test error: 0.198560 / Layer sizes: 10 3 3 1 Training error: 0.085797 / Test error: 0.197952 / Layer sizes: 10 3 3 1 Training error: 0.084516 / Test error: 0.196221 / Layer sizes: 10 3 3 1 Training error: 0.083793 / Test error: 0.192347 / Layer sizes: 10 3 3 1 Training error: 0.069711 / Test error: 0.183811 / Layer sizes: 10 3 3 1 Training error: 0.068902 / Test error: 0.173481 / Layer sizes: 10 3 3 1 Training error: 0.067925 / Test error: 0.170613 / Layer sizes: 10 3 3 1 Training error: 0.067784 / Test error: 0.167864 / Layer sizes: 10 3 3 1 Training error: 0.066615 / Test error: 0.165475 / Layer sizes: 10 3 3 1 Training error: 0.064044 / Test error: 0.163130 / Layer sizes: 10 3 3 1 Training error: 0.063438 / Test error: 0.161495 / Layer sizes: 10 3 3 1 Training error: 0.063212 / Test error: 0.161012 / Layer sizes: 10 3 3 1 Training error: 0.062923 / Test error: 0.159026 / Layer sizes: 10 3 3 1 Training error: 0.062891 / Test error: 0.158199 / Layer sizes: 10 3 3 1 Training error: 0.061694 / Test error: 0.157606 / Layer sizes: 10 3 3 1 Training error: 0.061361 / Test error: 0.154776 / Layer sizes: 10 3 3 1 Training error: 0.061294 / Test error: 0.152356 / Layer sizes: 10 3 3 1 Training error: 0.061279 / Test error: 0.148513 / Layer sizes: 10 3 3 1 Training error: 0.055728 / Test error: 0.146534 / Layer sizes: 10 3 3 1 Training error: 0.054913 / Test error: 0.139931 / Layer sizes: 10 3 3 1 Training error: 0.054534 / Test error: 0.136959 / Layer sizes: 10 3 3 1 Training error: 0.053618 / Test error: 0.134973 / Layer sizes: 10 3 3 1 Training error: 0.053436 / Test error: 0.132240 / Layer sizes: 10 3 3 1 Training error: 0.052051 / Test error: 0.131005 / Layer sizes: 10 3 3 1 Training error: 0.051736 / Test error: 0.130079 / Layer sizes: 10 3 3 1 Training error: 0.016280 / Test error: 0.124654 / Layer sizes: 10 3 3 1 Training error: 0.015908 / Test error: 0.116191 / Layer sizes: 10 3 3 1 Training error: 0.015571 / Test error: 0.115712 / Layer sizes: 10 3 3 1 Training error: 0.015389 / Test error: 0.097880 / Layer sizes: 10 3 3 1 Training error: 0.013963 / Test error: 0.090968 / Layer sizes: 10 3 3 1 Training error: 0.013418 / Test error: 0.083630 / Layer sizes: 10 3 3 1 Training error: 0.012992 / Test error: 0.070248 / Layer sizes: 10 3 3 1 Training error: 0.012698 / Test error: 0.067311 / Layer sizes: 10 3 3 1 Training error: 0.011649 / Test error: 0.059301 / Layer sizes: 10 3 3 1 Training error: 0.011081 / Test error: 0.048177 / Layer sizes: 10 3 3 1 Training error: 0.011037 / Test error: 0.046033 / Layer sizes: 10 3 3 1 Training error: 0.009640 / Test error: 0.040550 / Layer sizes: 10 3 3 1 Training error: 0.009509 / Test error: 0.021477 / Layer sizes: 10 3 3 1 Training error: 0.008868 / Test error: 0.014058 / Layer sizes: 10 3 3 1 Training error: 0.004296 / Test error: 0.009037 / Layer sizes: 10 3 3 1 Training error: 0.004223 / Test error: 0.008332 / Layer sizes: 10 3 3 1 Training error: 0.000107 / Test error: 0.002265 / Layer sizes: 10 3 3 1 Training error: 0.000092 / Test error: 0.000116 / Layer sizes: 10 3 3 1 Training error: 0.000045 / Test error: 0.000075 / Layer sizes: 10 3 3 1 Training error: 0.000034 / Test error: 0.000050 / Layer sizes: 10 3 3 1 Training error: 0.000034 / Test error: 0.000041 / Layer sizes: 10 3 3 1 Training error: 0.000018 / Test error: 0.000039 / Layer sizes: 10 3 3 1 Training error: 0.000018 / Test error: 0.000026 / Layer sizes: 10 3 3 1 Training error: 0.000016 / Test error: 0.000018 / Layer sizes: 10 3 3 1 Training error: 0.000009 / Test error: 0.000010 / Layer sizes: 10 3 3 1 Training error: 0.000009 / Test error: 0.000009 / Layer sizes: 10 3 3 1 Training error: 0.000009 / Test error: 0.000009 / Layer sizes: 10 3 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 3 1 Training error: 0.000008 / Test error: 0.000008 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000004 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000002 / Test error: 0.000002 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 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. 90.28 % correct. 9.72 % wrong. Limit: 17.63 %. 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.98230 + 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.dMjpO4 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.Wo0X96 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_2.1.3), 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.fgqRh6 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.cO58s8 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.XHwiC5 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 (w2.lzdio) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm (w2.lzdio) 82.28user 0.37system 1:41.73elapsed 81%CPU (0avgtext+0avgdata 36324maxresident)k 0inputs+0outputs (0major+170150minor)pagefaults 0swaps 89.07user 3.41system 2:01.02elapsed 76%CPU (0avgtext+0avgdata 107096maxresident)k 0inputs+0outputs (0major+487732minor)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 2021-03-16 15:26:07.677191356 +0000 @@ -7,2 +7,3 @@ Requires: libc.so.6(GLIBC_2.1) +Requires: libc.so.6(GLIBC_2.1.3) Requires: libc.so.6(GLIBC_2.3.4) @@ -11,2 +12,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)