On Nov 8, 2007 10:06 PM, David Cournapeau <[EMAIL PROTECTED]> wrote: > > Geoffrey Zhu wrote: > > On Nov 8, 2007 12:12 PM, Robert Kern <[EMAIL PROTECTED]> wrote: > > > >> Geoffrey Zhu wrote: > >> > >>> Good morning. > >>> > >>> I just installed the Windows binary of numpy 1.04. When I ran > >>> numpy.test() in IDLE (the Python shell that comes with Python), the > >>> program hang (or at least is running for half an hour). I am using > >>> Windows XP, duel core intel CPU. > >>> > >>> Does anyone know what is going on? > >>> > >> No. Run numpy.test(verbosity=2) so it will print out each test name before > >> running the test. Then we might have some idea about where the hang is > >> coming from. > >> > >> -- > >> Robert Kern > >> > >> "I have come to believe that the whole world is an enigma, a harmless > >> enigma > >> that is made terrible by our own mad attempt to interpret it as though it > >> had > >> an underlying truth." > >> -- Umberto Eco > >> _______________________________________________ > >> Numpy-discussion mailing list > >> [email protected] > >> http://projects.scipy.org/mailman/listinfo/numpy-discussion > >> > >> > > > > Thanks for the hint, Robert. > > > > It hangs on check_cdouble (numpy.tests.test_linalg.test_det). > > > > > > Also testip_not_allclose() had three warnings. I guess that's probably okay. > > > > testip_not_allclose (numpy.core.tests.test_numeric.test_allclose_inf) ... > > Warning: invalid value encountered in absolute > > Warning: invalid value encountered in absolute > > Warning: invalid value encountered in less_equal > > ok > > > Are you on x86-64, too ? Which BLAS are you using ? This smells like a > C/Fortran problem (because it happens with complex values only). > > cheers, > > David > > _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
Hi David, Although the processor is Intel Duo Core E6700, which supports x86-64, I am only using 32-bit Windows XP. I am not using my own BLAS. I am simply using the pre-compiled binary. I installed 1.04 over the old 1.031. I don't know if it is caused by some files that are left behind. Thanks, Geoffrey _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
