[Numpy-discussion] [SciPy-Dev] 1.8.0rc1
Christoph Gohlke
cgohlke at uci.edu
Mon Sep 30 19:12:33 EDT 2013
On 9/30/2013 3:45 PM, Charles R Harris wrote:
>
>
>
> On Mon, Sep 30, 2013 at 3:51 PM, Christoph Gohlke <cgohlke at uci.edu
> <mailto:cgohlke at uci.edu>> wrote:
>
>
>
> On 9/30/2013 11:02 AM, Nathaniel Smith wrote:> Everyone please do
> actually test this! It is really in your best
> > interest, and I think people don't always realize this.
> >
> > Here's how it works:
> > - If you test it *now*, and it breaks your code that worked with 1.7,
> > and you *tell* us this now, then it's *our* problem and we hold up the
> > release to fix the bug.
> > - If you test it *after* we release, and it breaks your code, then we
> > are sad but you have to work around it (because we can't magically
> > make that release not have happened, your users will be using it
> > anyway), and we put it on the stack with all the other bugs. All of
> > which we care about but it's a large enough stack that it's not going
> > to get any special priority, because, see above about how at this
> > point you'll have had to work around it anyway.
> >
> > -n
> >
> > On Mon, Sep 30, 2013 at 4:17 PM, Charles R Harris
> > <charlesr.harris at gmail.com <mailto:charlesr.harris at gmail.com>> wrote:
> >> Hi All,
> >>
> >> NumPy 1.8.0rc1 is up now on sourceforge .The binary builds are included
> >> except for Python 3.3 on windows, which will arrive later. Many thanks to
> >> Ralf for the binaries, and to those who found and fixed the bugs in the last
> >> beta. Any remaining bugs are all my fault ;) I hope this will be the last
> >> release before final, so please test it thoroughly.
> >>
> >> Chuck
>
>
> Hello,
>
> NumPy 1.8.0rc1 looks good. All tests pass on Windows and most 3rd party
> packages test OK now. Thank you.
>
> A few tests still fail in the following packages when run with
> numpy-MKL-1.8.0rc1-win-amd64-py3.3 compared to
> numpy-MKL-1.7.1-win-amd64-py3.3:
>
> 1) Pandas 0.12.0
>
> ```
> ======================================================================
> FAIL: test_nansum_buglet (pandas.tests.test_series.TestNanops)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "X:\Python33\lib\site-packages\pandas\tests\test_series.py",
> line 254, in test_nansum_buglet
> assert_almost_equal(result, 1)
> File "X:\Python33\lib\site-packages\pandas\util\testing.py", line
> 134, in assert_almost_equal
> np.testing.assert_(isiterable(b))
> File "D:\Dev\Compile\Test\numpy-build\numpy\testing\utils.py", line
> 44, in assert_
> raise AssertionError(msg)
> AssertionError
> ```
>
> Possibly related:
>
> ```
> >>> import numpy as np
> >>> from pandas import Series
> >>> s = Series([0.0])
> >>> result = np.nansum(s)
> >>> print(result)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "X:\Python33\lib\site-packages\pandas\core\base.py", line
> 19, in
> __str__
> return self.__unicode__()
> File "X:\Python33\lib\site-packages\pandas\core\series.py", line
> 1115, in __unicode__
> length=len(self) > 50,
> TypeError: len() of unsized object
> ```
>
> 2) Bottleneck 0.7.0
>
> https://github.com/kwgoodman/bottleneck/issues/71#issuecomment-25331701
>
> 3) skimage 0.8.2
>
> These tests passed with numpy 1.8.0b2:
>
> ```
> ======================================================================
> FAIL: test_grey.test_non_square_image
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "X:\Python33\lib\site-packages\nose\case.py", line 198, in
> runTest
> self.test(*self.arg)
> File
> "X:\Python33\lib\site-packages\skimage\morphology\tests\test_grey.py",
> line 162, in test_non_square_image
> testing.assert_array_equal(binary_res, grey_res)
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 718, in assert_array_equal
> verbose=verbose, header='Arrays are not equal')
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 644, in assert_array_compare
> raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (mismatch 50.6328125%)
> x: array([[False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],...
> y: array([[ True, True, True, ..., True, False, False],
> [ True, True, True, ..., False, False, False],
> [ True, True, True, ..., False, False, False],...
>
> ======================================================================
> FAIL: test_grey.test_binary_erosion
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "X:\Python33\lib\site-packages\nose\case.py", line 198, in
> runTest
> self.test(*self.arg)
> File
> "X:\Python33\lib\site-packages\skimage\morphology\tests\test_grey.py",
> line 169, in test_binary_erosion
> testing.assert_array_equal(binary_res, grey_res)
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 718, in assert_array_equal
> verbose=verbose, header='Arrays are not equal')
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 644, in assert_array_compare
> raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (mismatch 48.260498046875%)
> x: array([[False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],...
> y: array([[ True, True, True, ..., True, False, False],
> [ True, True, True, ..., False, False, False],
> [ True, True, True, ..., False, False, False],...
>
> ======================================================================
> FAIL: test_grey.test_binary_closing
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "X:\Python33\lib\site-packages\nose\case.py", line 198, in
> runTest
> self.test(*self.arg)
> File
> "X:\Python33\lib\site-packages\skimage\morphology\tests\test_grey.py",
> line 183, in test_binary_closing
> testing.assert_array_equal(binary_res, grey_res)
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 718, in assert_array_equal
> verbose=verbose, header='Arrays are not equal')
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 644, in assert_array_compare
> raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (mismatch 66.302490234375%)
> x: array([[False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],...
> y: array([[ True, True, True, ..., True, True, True],
> [ True, True, True, ..., True, True, True],
> [ True, True, True, ..., False, False, False],...
>
> ======================================================================
> FAIL: test_grey.test_binary_opening
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "X:\Python33\lib\site-packages\nose\case.py", line 198, in
> runTest
> self.test(*self.arg)
> File
> "X:\Python33\lib\site-packages\skimage\morphology\tests\test_grey.py",
> line 190, in test_binary_opening
> testing.assert_array_equal(binary_res, grey_res)
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 718, in assert_array_equal
> verbose=verbose, header='Arrays are not equal')
> File "X:\Python33\lib\site-packages\numpy\testing\utils.py", line
> 644, in assert_array_compare
> raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (mismatch 58.465576171875%)
> x: array([[False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],
> [False, False, False, ..., False, False, False],...
> y: array([[ True, True, True, ..., True, True, False],
> [ True, True, True, ..., True, True, False],
> [ True, True, True, ..., False, False, False],...
> ```
>
> I'll bet the skimage problems come from
> https://github.com/numpy/numpy/pull/3811. They may be doing something
> naughty...
>
> Chuck
>
A bool image is convolved with a uint8 kernel and the result compared
for equality with an uint32 scalar...
https://github.com/scikit-image/scikit-image/blob/master/skimage/morphology/binary.py#L32
Christoph
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