Hi Ralf,
> I am pleased to announce the availability of the first release candidate of
> NumPy 1.6.1. This is a bugfix release, list of fixed bugs:
> #1834 einsum fails for specific shapes
> #1837 einsum throws nan or freezes python for specific array shapes
> #1838 object <-> structured type arrays regression
> #1851 regression for SWIG based code in 1.6.0
> #1863 Buggy results when operating on array copied with astype()
there are a bunch of test failures under Python3, mostly with new datetime
tests
trivially fixed by 'str' -> asbytes('str') conversions (I can send a patch or
pull request
for that), and two more I can't provide a fix for yet:
FAIL: Test custom format function for each element in array.
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/derek/lib/python3.2/site-packages/numpy/core/tests/test_arrayprint.py",
line 86, in test_format_function
"[0x0L 0x1L 0x2L]")
File "/Users/derek/lib/python3.2/site-packages/numpy/testing/utils.py", line
313, in assert_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
ACTUAL: '[0x0 0x1 0x2]'
DESIRED: '[0x0L 0x1L 0x2L]'
- this is
x = np.arange(3)
assert_(np.array2string(x, formatter={'all':_format_function}) == \
"[. o O]")
assert_(np.array2string(x, formatter={'int_kind':_format_function}) ==\
"[. o O]")
assert_(np.array2string(x, formatter={'all':lambda x: "%.4f" % x}) == \
"[0.0000 1.0000 2.0000]")
assert_equal(np.array2string(x, formatter={'int':lambda x: hex(x)}), \
"[0x0L 0x1L 0x2L]")
(btw. these were all assert_(a == b) before, which do not give a useful error
message
by default - any reason not to change them to assert_equal(, b)?)
and
FAIL: Ticket #1748
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/derek/lib/python3.2/site-packages/numpy/core/tests/test_regression.py",
line 1549, in test_string_astype
assert_equal(b.dtype, np.dtype('S5'))
File "/Users/derek/lib/python3.2/site-packages/numpy/testing/utils.py", line
313, in assert_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
ACTUAL: dtype('<U5')
DESIRED: dtype('|S5')
for
s1 = asbytes('black')
s2 = asbytes('white')
s3 = asbytes('other')
a = np.array([[s1],[s2],[s3]])
assert_equal(a.dtype, np.dtype('S5'))
b = a.astype('str')
assert_equal(b.dtype, np.dtype('S5'))
I can get around this by changing the last lines to
b = a.astype(np.dtype('S5'))
assert_equal(b.dtype, np.dtype('S5'))
but am not sure if this preserves the purpose of the test...
HTH,
Derek
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