Checking if your kit is complete... Looks good Writing Makefile for AI::NeuralNet::Simple cp lib/AI/NeuralNet/Simple.pm blib/lib/AI/NeuralNet/Simple.pm /Users/cpanrun/build/5.10.0/bin/perl /Users/cpanrun/build/5.10.0/lib/ExtUtils/xsubpp -typemap /Users/cpanrun/build/5.10.0/lib/ExtUtils/typemap Simple.xs > Simple.xsc && mv Simple.xsc Simple.c gcc -c -fno-common -DPERL_DARWIN -no-cpp-precomp -arch ppc -arch i386 -nostdinc -B/Developer/SDKs/MacOSX10.4u.sdk/usr/include/gcc -B/Developer/SDKs/MacOSX10.4u.sdk/usr/lib/gcc -isystem/Developer/SDKs/MacOSX10.4u.sdk/usr/include -F/Developer/SDKs/MacOSX10.4u.sdk/System/Library/Frameworks -mmacosx-version-min=10.3 -DPRIVLIB_LAST_IN_INC -fno-strict-aliasing -pipe -O3 -DVERSION=\"0.11\" -DXS_VERSION=\"0.11\" "-I/Users/cpanrun/build/5.10.0/lib/CORE" Simple.c Running Mkbootstrap for AI::NeuralNet::Simple () chmod 644 Simple.bs rm -f blib/arch/auto/AI/NeuralNet/Simple/Simple.bundle env MACOSX_DEPLOYMENT_TARGET=10.3 cc -bundle -undefined dynamic_lookup -Wl,-search_paths_first -arch ppc -arch i386 -Wl,-syslibroot,/Developer/SDKs/MacOSX10.4u.sdk -mmacosx-version-min=10.3 Simple.o -o blib/arch/auto/AI/NeuralNet/Simple/Simple.bundle \ \ chmod 755 blib/arch/auto/AI/NeuralNet/Simple/Simple.bundle cp Simple.bs blib/arch/auto/AI/NeuralNet/Simple/Simple.bs chmod 644 blib/arch/auto/AI/NeuralNet/Simple/Simple.bs Manifying blib/man3/AI::NeuralNet::Simple.3 PERL_DL_NONLAZY=1 /Users/cpanrun/build/5.10.0/bin/perl "-MExtUtils::Command::MM" "-e" "test_harness(1, 'blib/lib', 'blib/arch')" t/*.t t/10nn_simple......1..22 ok 1 - use AI::NeuralNet::Simple; ok 2 - AI::NeuralNet::Simple->can('new') ok 3 - ... and calling it without arguments should die ok 4 - ... and supplying new() with bad arguments should also die ok 5 - Calling new with good arguments should succeed ok 6 - ...and the object it returns isa AI::NeuralNet::Simple ok 7 - AI::NeuralNet::Simple->can('learn_rate') ok 8 - ... and setting it outside of legal boundaries should die ok 9 - ... and it should have the correct learn rate ok 10 - ... and setting it should return the object isa AI::NeuralNet::Simple ok 11 - ... and should set it correctly ok 12 - AI::NeuralNet::Simple->can('train') ok 13 - Calling train() with valid data should succeed ok 14 - AI::NeuralNet::Simple->can('winner') ok 15 - ... and it should return the index of the highest valued result ok 16 - ... and it should return the index of the highest valued result ok 17 - ... and it should return the index of the highest valued result ok 18 - ... and it should return the index of the highest valued result ok 19 - 1 AND 1 = 1 ok 20 - 1 AND 0 = 0 ok 21 - 0 AND 1 = 0 ok 22 - 0 AND 0 = 0 ok t/20nn_multi.......1..14 ok 1 - use AI::NeuralNet::Simple; ok 2 - AI::NeuralNet::Simple->can('new') ok 3 - Calling new with good arguments should succeed ok 4 - ...and the object it returns isa AI::NeuralNet::Simple ok 5 - AI::NeuralNet::Simple->can('learn_rate') ok 6 - ... and it should have the correct learn rate ok 7 - ... and setting it should return the object isa AI::NeuralNet::Simple ok 8 - ... and should set it correctly ok 9 - Calling new with good arguments should succeed ok 10 - ...and the object it returns isa AI::NeuralNet::Simple ok 11 - AI::NeuralNet::Simple->can('learn_rate') ok 12 - ... and it should have the correct learn rate ok 13 - ... and setting it should return the object isa AI::NeuralNet::Simple ok 14 - ... and should set it correctly ok t/30nn_storable....1..15 ok 1 - use AI::NeuralNet::Simple; ok 2 - AI::NeuralNet::Simple->can('new') ok 3 - ... and it should return the index of the highest valued result ok 4 - ... and it should return the index of the highest valued result ok 5 - ... and it should return the index of the highest valued result ok 6 - ... and it should return the index of the highest valued result ok 7 - store() succeeds ok 8 - retrieve() succeeds ok 9 - AI::NeuralNet::Simple->can('learn_rate') ok 10 - properly restored value of delta ok 11 - properly restored value of use_bipolar ok 12 - ... and it should return the index of the highest valued result ok 13 - ... and it should return the index of the highest valued result ok 14 - ... and it should return the index of the highest valued result ok 15 - ... and it should return the index of the highest valued result ok t/pod-coverage.....1..0 # Skip Test::Pod::Coverage 1.04 required for testing POD coverage skipped all skipped: Test::Pod::Coverage 1.04 required for testing POD coverage t/pod..............1..0 # Skip Test::Pod 1.14 required for testing POD skipped all skipped: Test::Pod 1.14 required for testing POD All tests successful, 2 tests skipped. Files=5, Tests=51, 2 wallclock secs ( 1.37 cusr + 0.17 csys = 1.54 CPU) Files found in blib/arch: installing files in blib/lib into architecture dependent library tree Installing /Users/cpanrun/build/5.10.0/site/lib/auto/AI/NeuralNet/Simple/Simple.bs Installing /Users/cpanrun/build/5.10.0/site/lib/auto/AI/NeuralNet/Simple/Simple.bundle Installing /Users/cpanrun/build/5.10.0/html/site/lib/AI/NeuralNet/Simple.html Installing /Users/cpanrun/build/5.10.0/site/lib/AI/NeuralNet/Simple.pm Installing /Users/cpanrun/build/5.10.0/site/man/man3/AI::NeuralNet::Simple.3 Appending installation info to /Users/cpanrun/build/5.10.0/lib/perllocal.pod