test_scalarmath.py", line 63
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) ---------------------------------------------------------------------- Ran 368 tests in 0.479s FAILED (failures=1) Nils
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
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participants (2)
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Nils Wagner
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Travis Oliphant