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')])])
>>> test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
+ ('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')])])
+
+ >>> test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
('a', np.dtype('i,f')),\
('b', np.dtype('i,i'))\
])))
@@ -297,6 +304,10 @@
arr[1].b.x = arr[0].a.y + 1
arr[1].b.y = 4
arr[2] = arr[1]
+ if not arr.dtype.isnative:
+ # required to get the endianness
+ # indicator (< or >) correct in output.
+ arr.byteswap(True)
return arr
def test_bad_nested_dtypes():
_______________________________________________
Cython-dev mailing list
[email protected]
http://codespeak.net/mailman/listinfo/cython-dev
