On 9/30/2013 3:45 PM, Charles R Harris wrote: > > > > On Mon, Sep 30, 2013 at 3:51 PM, Christoph Gohlke <cgoh...@uci.edu > <mailto:cgoh...@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.har...@gmail.com <mailto:charlesr.har...@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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
