[Numpy-discussion] ANN: NumPy 1.5.0 beta 2

Christoph Gohlke cgohlke@uci....
Tue Aug 17 14:38:02 CDT 2010



On 8/17/2010 8:23 AM, Ralf Gommers wrote:
> I am pleased to announce the availability of the second beta of NumPy
> 1.5.0. This will be the first NumPy release to include support for
> Python 3, as well as for Python 2.7.
>
> Please try this beta and report any problems on the NumPy mailing list.
> Especially with Python 3 testing will be very useful. On Linux and OS X
> building from source should be straightforward, for Windows a binary
> installer is provided. There is one important known issue on Windows
> left, in fromfile and tofile (ticket 1583).
>
> Binaries, sources and release notes can be found at
> https://sourceforge.net/projects/numpy/files/
> <https://sourceforge.net/projects/numpy/files/>
>
> Enjoy,
> Ralf
>

NumPy 1.5.0 beta 2 built with msvc9/mkl for Python 2.7 and 3.1 (32 and 
64 bit) still reports many (> 200) warnings and three known test 
failures/errors. Nothing serious, but it would be nice to clean up 
before the final release.

The warnings are of the type "Warning: invalid value encountered in" for 
the functions reduce, fmax, fmin, logaddexp, maximum, greater, 
less_equal, greater_equal, absolute, and others. I do not see any of 
these warnings in the msvc9 builds of numpy 1.4.1.


The following failure appears on 64 bit builds. I guess the test should 
be skipped but the platform_skip decorator introduced in changeset 8648 
does not take effect because "(np.exp(complex(np.inf, 0)).imag != 0)" 
correctly evaluates to False.

======================================================================
FAIL: test_special_values (test_umath_complex.TestClog)
----------------------------------------------------------------------
Traceback (most recent call last):
   File "X:\Python27-x64\lib\site-packages\numpy\testing\decorators.py", 
line 146, in skipper_func
     return f(*args, **kwargs)
   File 
"X:\Python27-x64\lib\site-packages\numpy\core\tests\test_umath_complex.py", 
line 242, in test_special_values
     assert_almost_equal(np.log(x), y)
   File "X:\Python27-x64\lib\site-packages\numpy\testing\utils.py", line 
443, in assert_almost_equal
     raise AssertionError(msg)
AssertionError:
Arrays are not almost equal
  ACTUAL: array([ nan+2.35619449j])
  DESIRED: (inf+2.356194490192345j)
>>  raise AssertionError('\nArrays are not almost equal\n ACTUAL: array([ nan+2.35619449j])\n DESIRED: (inf+2.356194490192345j)')



Similar, this failure appears on 32 bit and could be skipped or marked 
as known fail:

======================================================================
FAIL: test_special_values (test_umath_complex.TestClog)
----------------------------------------------------------------------
Traceback (most recent call last):
   File "X:\Python27\lib\site-packages\numpy\testing\decorators.py", 
line 146, in skipper_func
     return f(*args, **kwargs)
   File 
"X:\Python27\lib\site-packages\numpy\core\tests\test_umath_complex.py", 
line 162, in test_special_values
     self.assertRaises(FloatingPointError, np.log, x)
AssertionError: FloatingPointError not raised



This error can be marked as known for 64 bit builds for Python 2.x (a 
patch is attached):

======================================================================
ERROR: Ticket #99
----------------------------------------------------------------------
Traceback (most recent call last):
   File "X:\Python27-x64\lib\site-packages\numpy\testing\decorators.py", 
line 215, in knownfailer
     return f(*args, **kwargs)
   File 
"X:\Python27-x64\lib\site-packages\numpy\core\tests\test_regression.py", 
line 146, in test_intp
     np.intp('0x' + 'f'*i_width,16)
TypeError: function takes at most 1 argument (2 given)


The Python 3.1 builds show no additional failures/errors, specifically 
not the ones mentioned in ticket 1583.

--
Christoph
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