[SciPy-Dev] ANN: SciPy 0.9.0 beta 1

Bruce Southey bsouthey@gmail....
Tue Dec 14 14:15:59 CST 2010


On 12/14/2010 02:09 PM, Charles R Harris wrote:
>
>
> On Tue, Dec 14, 2010 at 10:52 AM, Bruce Southey <bsouthey@gmail.com 
> <mailto:bsouthey@gmail.com>> wrote:
>
>     On Tue, Dec 14, 2010 at 10:13 AM, Ralf Gommers
>     <ralf.gommers@googlemail.com <mailto:ralf.gommers@googlemail.com>>
>     wrote:
>     >
>     >
>     > On Wed, Dec 15, 2010 at 12:01 AM, Benjamin Root <ben.root@ou.edu
>     <mailto:ben.root@ou.edu>> wrote:
>     >>
>     >>
>     >> On Tue, Dec 14, 2010 at 6:38 AM, Ralf Gommers
>     >> <ralf.gommers@googlemail.com
>     <mailto:ralf.gommers@googlemail.com>> wrote:
>     >>>
>     >>>
>     >>> On Tue, Dec 14, 2010 at 12:43 AM, Benjamin Root
>     <ben.root@ou.edu <mailto:ben.root@ou.edu>> wrote:
>     >>>
>     >>> Hi Ben,
>     >>>>
>     >>>> Just did a clean rebuild (after a clean rebuild of numpy) and
>     had two
>     >>>> errors in the tests:
>     >>>
>     >>> What platform are you on?
>     >>
>     >> I reran the tests on just this scipy.misc module, here is the
>     output:
>     >>
>     >> >>> scipy.misc.test()
>     >> Running unit tests for scipy.misc
>     >> NumPy version 2.0.0.dev-799179d
>     >> NumPy is installed in /home/bvr/Programs/numpy/numpy
>     >> SciPy version 0.10.0.dev
>     >> SciPy is installed in /home/bvr/Programs/scipy/scipy
>     >> Python version 2.6.4 (r264:75706, Jun  4 2010, 18:20:16) [GCC 4.4.4
>     >> 20100503 (Red Hat 4.4.4-2)]
>     >> nose version 0.11.3
>     >> ...........F.....
>     >>
>     ======================================================================
>     >> FAIL: test_imresize (test_pilutil.TestPILUtil)
>     >>
>     ----------------------------------------------------------------------
>     >> Traceback (most recent call last):
>     >>   File "/home/bvr/Programs/numpy/numpy/testing/decorators.py",
>     line 146,
>     >> in skipper_func
>     >>     return f(*args, **kwargs)
>     >>   File
>     "/home/bvr/Programs/scipy/scipy/misc/tests/test_pilutil.py", line
>     >> 28, in test_imresize
>     >>     assert_equal(im1.shape,(11,22))
>     >>   File "/home/bvr/Programs/numpy/numpy/testing/utils.py", line
>     251, in
>     >> assert_equal
>     >>     assert_equal(actual[k], desired[k], 'item=%r\n%s' %
>     (k,err_msg),
>     >> verbose)
>     >>   File "/home/bvr/Programs/numpy/numpy/testing/utils.py", line
>     313, in
>     >> assert_equal
>     >>     raise AssertionError(msg)
>     >> AssertionError:
>     >> Items are not equal:
>     >> item=0
>     >>
>     >>  ACTUAL: 10
>     >>  DESIRED: 11
>     >>
>     >>
>     ----------------------------------------------------------------------
>     >> Ran 17 tests in 0.089s
>     >>
>     >> FAILED (failures=1)
>     >> <nose.result.TextTestResult run=17 errors=0 failures=1>
>     >>
>     >> Note, that I am still getting this error with the suggested
>     addition of
>     >> "np.random.seed(12345678)" to
>     scipy/misc/tests/test_pilutil.py.  I tried it
>     >> both at line 20 (before the call to class TestPILUtil) and at
>     line 24
>     >> (before the call to np.random.random() in test_imresize.  I do
>     not see how
>     >> setting the seed value for these tests would make any
>     difference since they
>     >> are merely testing the resulting shape of the image after a
>     resize, not the
>     >> values of the resized image itself.
>     >
>     > The seeding may not matter (I haven't actually looked in detail
>     yet), but I
>     > thought I had seen this error pop up before, but not
>     reproducibly. The
>     > imresize function does some interpolation, so the numerical
>     values could
>     > matter. In that case seeding would help.
>     >>
>     >>
>     >>>>
>     >>>>
>     ======================================================================
>     >>>> FAIL: test_imresize (test_pilutil.TestPILUtil)
>     >>>>
>     ----------------------------------------------------------------------
>     >>>> Traceback (most recent call last):
>     >>>>   File
>     "/home/bvr/Programs/numpy/numpy/testing/decorators.py", line 146,
>     >>>> in skipper_func
>     >>>>     return f(*args, **kwargs)
>     >>>>   File
>     "/home/bvr/Programs/scipy/scipy/misc/tests/test_pilutil.py", line
>     >>>> 25, in test_imresize
>     >>>>     assert_equal(im1.shape,(11,22))
>     >>>>   File "/home/bvr/Programs/numpy/numpy/testing/utils.py",
>     line 251, in
>     >>>> assert_equal
>     >>>>     assert_equal(actual[k], desired[k], 'item=%r\n%s' %
>     (k,err_msg),
>     >>>> verbose)
>     >>>>   File "/home/bvr/Programs/numpy/numpy/testing/utils.py",
>     line 313, in
>     >>>> assert_equal
>     >>>>     raise AssertionError(msg)
>     >>>> AssertionError:
>     >>>> Items are not equal:
>     >>>> item=0
>     >>>>
>     >>>>  ACTUAL: 10
>     >>>>  DESIRED: 11
>     >>>
>     >>> This test should be changed to use a fixed seed (add as a
>     first line of
>     >>> the test "np.random.seed(12345678)"). Can you provide one that
>     fails?
>     >>>
>     >>
>     >> Also, I am not sure what you mean by "Can you provide one that
>     fails?".
>     >
>     > I meant a seed value that fails. This one does, that's all we need.
>
>     On my 64-bit linux system with Python 2.7, the error appears comes
>     from float16 dtype rather than the actual seed
>     >>> np.random.seed(12345678)
>     >>> for T in np.sctypes['float'] + [float]:
>     ...     im1 = pilutil.imresize(im,T(1.1))
>     ...     print T, im.shape, im1.shape
>     ...
>     <type 'numpy.float16'> (10, 20) (10, 21)
>     <type 'numpy.float32'> (10, 20) (11, 22)
>     <type 'numpy.float64'> (10, 20) (11, 22)
>     <type 'numpy.float128'> (10, 20) (11, 22)
>     <type 'float'> (10, 20) (11, 22)
>
>     Here only the float16 has different shape from the rest.
>
>
> Ah, you compiled against numpy master instead of numpy 1.5.1, float16 
> is only in the development branch. I think the test should be fixed to 
> use an explicit list of types supported by pilutil.
>
> Chuck
>
>
Sorry,
I forgot to add the numpy version '2.0.0.dev-799179d' because 1.5.1 is 
just too old and I am too lazy to go back and downgrade :-)


Bruce
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