numpy-discussion

[Numpy-discussion] test_scalarmath.py", line 63

[Nils W. <nw...@ia...>]

>>> 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

Re: [Numpy-discussion] test_scalarmath.py", line 63

[Travis O. <oli...@ie...>]

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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