Kurt Smith wrote:
> The current numpy_test.pyx file fails for PowerPC macs due to
> endianness issues in the dtype. This is a small fix to make it work
> (and make all tests pass on my machine). It also adds an explicit
> big-endian test to the doctest.
>
> diff -r fc73225aaea1 tests/run/numpy_test.pyx
> --- a/tests/run/numpy_test.pyx Fri Apr 17 09:11:16 2009 +0200
> +++ b/tests/run/numpy_test.pyx Fri Apr 17 15:43:11 2009 -0500
> @@ -132,13 +132,20 @@
> >>> test_recordarray()
>
> >>> test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
> - ('a', np.dtype('i,i')),\
> - ('b', np.dtype('i,i'))\
> + ('a', np.dtype('<i,<i')),\
> + ('b', np.dtype('<i,<i'))\
> ])))
> array([((0, 0), (0, 0)), ((1, 2), (1, 4)), ((1, 2), (1, 4))],
> dtype=[('a', [('f0', '<i4'), ('f1', '<i4')]), ('b', [('f0',
> '<i4'), ('f1', '<i4')])])
Any ideas on why this particular case actually passes on your machine?
The Cython code alwayws works with big-endian on your machine, so I
wouldn't expect to see ((1, 2), (1, 4)) there, but the byteswapped
versions of those numbers...
--
Dag Sverre
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