[Numpy-discussion] Intel OSX test failure

Gennan Chen gnchen at cortechs.net
Thu Jun 8 17:18:37 CDT 2006


Got you. BTW, I did manage to compile ATLAS 3.7 version into .a. Any  
chance I can use that? Or only shared object can be used??

Gen


On Jun 8, 2006, at 3:11 PM, David M. Cooke wrote:

> On Thu, 8 Jun 2006 14:57:02 -0700
> Gennan Chen <gnchen at cortechs.net> wrote:
>
>> Hi!
>>
>> I just got an MacBook Pro and tried to install numpy+scipy on that.
>> I successfully installed ipython+matplotlib+python 2.4 through
>> darwinports.
>> Then I svn co a copy of numpy +scipy. Compilation (gcc 4.0.1 +
>> gfortran) seems working fine for numpy. After I installed it and run
>> numpy.test() in ipython, it failed. And the error is:
>>
>> In [4]: numpy.test()
>>    Found 3 tests for numpy.lib.getlimits
>>    Found 30 tests for numpy.core.numerictypes
>>    Found 13 tests for numpy.core.umath
>>    Found 3 tests for numpy.core.scalarmath
>>    Found 8 tests for numpy.lib.arraysetops
>>    Found 42 tests for numpy.lib.type_check
>>    Found 95 tests for numpy.core.multiarray
>>    Found 3 tests for numpy.dft.helper
>>    Found 36 tests for numpy.core.ma
>>    Found 2 tests for numpy.core.oldnumeric
>>    Found 9 tests for numpy.lib.twodim_base
>>    Found 9 tests for numpy.core.defmatrix
>>    Found 1 tests for numpy.lib.ufunclike
>>    Found 35 tests for numpy.lib.function_base
>>    Found 1 tests for numpy.lib.polynomial
>>    Found 6 tests for numpy.core.records
>>    Found 19 tests for numpy.core.numeric
>>    Found 5 tests for numpy.distutils.misc_util
>>    Found 4 tests for numpy.lib.index_tricks
>>    Found 46 tests for numpy.lib.shape_base
>>    Found 0 tests for __main__
>> ..............................................F...................... 
>> ...
>> ..................................................................... 
>> ...
>> ..................................................................... 
>> ...
>> ..................................................................... 
>> ...
>> ..................................................................... 
>> ...
>> ..........
>> ===================================================================== 
>> =
>> FAIL: check_large_types (numpy.core.tests.test_scalarmath.test_power)
>> --------------------------------------------------------------------- 
>> -
>> Traceback (most recent call last):
>>    File "/opt/local/lib/python2.4/site-packages/numpy/core/tests/
>> test_scalarmath.py", line 42, in check_large_types
>>      assert b == 6765201, "error with %r: got %r" % (t,b)
>> AssertionError: error with <type 'float128scalar'>: got 0.0
>>
>> --------------------------------------------------------------------- 
>> -
>> Ran 370 tests in 0.510s
>>
>> FAILED (failures=1)
>> Out[4]: <unittest.TextTestRunner object at 0x1581fd0>
>>
>>
>> Anyone has any idea?? or Anyone ever successfully did that?
>
> It's new; something's missing in the new power code I added for the
> scalartypes. It'll get fixed when I get around to it :-)
>
> -- 
> |>|\/|<
> /--------------------------------------------------------------------- 
> -----\
> |David M. Cooke                      http:// 
> arbutus.physics.mcmaster.ca/dmc/
> |cookedm at physics.mcmaster.ca
>





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