[SciPy-Dev] ANN: SciPy 0.8.0 beta 1

Derek Homeier derek@astro.physik.uni-goettingen...
Fri Jun 11 18:54:56 CDT 2010


Hi Josef,

>> FAIL: test_stats.test_kstest
>> ----------------------------------------------------------------------
>> Traceback (most recent call last):
>>  File "/sw/lib/python2.6/site-packages/nose/case.py", line 186, in runTest
>>    self.test(*self.arg)
>>  File "/sw/lib/python2.6/site-packages/scipy/stats/tests/test_stats.py", line 1078, in test_kstest
>>    np.array((0.0072115233216310994, 0.98531158590396228)), 14)
>>  File "/sw/lib/python2.6/site-packages/numpy/testing/utils.py", line 441, in assert_almost_equal
>>    return assert_array_almost_equal(actual, desired, decimal, err_msg)
>>  File "/sw/lib/python2.6/site-packages/numpy/testing/utils.py", line 765, in assert_array_almost_equal
>>    header='Arrays are not almost equal')
>>  File "/sw/lib/python2.6/site-packages/numpy/testing/utils.py", line 609, in assert_array_compare
>>    raise AssertionError(msg)
>> AssertionError:
>> Arrays are not almost equal
>> 
>> (mismatch 100.0%)
>>  x: array([ 0.007,  0.985])
>>  y: array([ 0.007,  0.985])
> 
> maybe the precision (decimal 14) is too high for this test across platforms
> 
> Could you check how large the difference is ?
> 
> np.random.seed(987654321)
> x = stats.norm.rvs(loc=0.2, size=100)
> np.array(stats.kstest(x,'norm', alternative = 'greater')) -
>                np.array((0.0072115233216310994, 0.98531158590396228))
> 
> (my line numbers differ, but this should be the right test given your numbers)


yes, just a decimal or two too high, if I got the numbers right:
# OS X 10.5 i386 / 10.6 x86_64:
array([  8.67361738e-18,   1.66533454e-15])

# OS X 10.5 ppc:
array([  2.05955045e-13,  -7.16759985e-13])

Cheers,
						Derek



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