Dear numpy pros, I have a problem and I don't know whether it's from local setup intricacies (64-bit Opteron with ACML and Python 2.5) or something in numpy (fresh SVN checkout). I observe the following:
>>> import numpy >>> numpy.test() Found 5 tests for numpy.distutils.misc_util Found 3 tests for numpy.lib.getlimits Found 31 tests for numpy.core.numerictypes Found 32 tests for numpy.linalg Found 13 tests for numpy.core.umath Found 4 tests for numpy.core.scalarmath Found 9 tests for numpy.lib.arraysetops Found 42 tests for numpy.lib.type_check Found 166 tests for numpy.core.multiarray Found 3 tests for numpy.fft.helper Found 36 tests for numpy.core.ma Found 1 tests for numpy.lib.ufunclike Found 12 tests for numpy.lib.twodim_base Found 10 tests for numpy.core.defmatrix Found 4 tests for numpy.ctypeslib Found 40 tests for numpy.lib.function_base Found 1 tests for numpy.lib.polynomial Found 8 tests for numpy.core.records Found 26 tests for numpy.core.numeric Found 4 tests for numpy.lib.index_tricks Found 46 tests for numpy.lib.shape_base Found 0 tests for __main__ ........Segmentation fault In gdb: Program received signal SIGSEGV, Segmentation fault. [Switching to Thread 46912496134400 (LWP 25798)] VOID_setitem (op=Variable "op" is not available. ) at numpy/core/src/arraytypes.inc.src:522 522 if (res < 0) break; Version information: [EMAIL PROTECTED] nvf]$ uname -m x86_64 [EMAIL PROTECTED] nvf]$ python Python 2.5 (r25:51908, Sep 26 2006, 19:06:29) [GCC 4.0.2 20051125 (Red Hat 4.0.2-8)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> numpy.__version__ '1.0.dev3219' Any idea what might be wrong? One obvious thing to check was the linear algebra, since ACML is suspect. numpy.linalg.eig worked fine for my simple test. I don't know enough to debug further. Thanks, Nick ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
