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On Nov 9, 2007 10:14 AM, Geoffrey Zhu <zyzhu2000@gmail.com> wrote:
On Nov 8, 2007 10:06 PM, David Cournapeau <david@ar.media.kyoto-u.ac.jp> wrote:
Geoffrey Zhu wrote:
On Nov 8, 2007 12:12 PM, Robert Kern <robert.kern@gmail.com> 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 Numpy-discussion@scipy.org 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
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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
Okay. I verified (by looking at which DLL python.exe actually loads) that it is using _dotblas.pyd under C:\Python25\Lib\site-packages\numpy\core that came with the pre-built 1.04 binary. It is not using any left-over from 1.031.