From: Travis O. <oli...@ie...> - 2006-06-01 04:02:59
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Nils Wagner wrote: >>>> numpy.__version__ >>>> > '0.9.9.2553' > > > numpy.test(1,10) results in > ====================================================================== > FAIL: check_types (numpy.core.tests.test_scalarmath.test_types) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File > "/usr/lib64/python2.4/site-packages/numpy/core/tests/test_scalarmath.py", > line 63, in check_types > assert val.dtype.num == typeconv[k,l] and \ > AssertionError: error with (0,7) > This is probably on a 64-bit system. It would be great if you could take the code in the test module and adapt it to print out the typecodes that are obtained using 0-dimensional arrays. Of course, maybe that's a better way to run the test.... -Travis > ---------------------------------------------------------------------- > Ran 368 tests in 0.479s > > FAILED (failures=1) > > Nils > > > > ------------------------------------------------------- > All the advantages of Linux Managed Hosting--Without the Cost and Risk! > Fully trained technicians. The highest number of Red Hat certifications in > the hosting industry. Fanatical Support. Click to learn more > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=107521&bid=248729&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > |