Nils Wagner wrote:
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....
Ran 368 tests in 0.479s
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