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
Index: numpy/core/tests/test_regression.py
===================================================================
--- numpy/core/tests/test_regression.py (revision 8652)
+++ numpy/core/tests/test_regression.py (working copy)
@@ -136,7 +136,8 @@
self.assertRaises(TypeError,np.dtype,
{'names':['a'],'formats':['foo']},align=1)
- @dec.knownfailureif(sys.version_info[0] >= 3,
+ @dec.knownfailureif(sys.version_info[0] >= 3 or (
+ sys.platform == 'win32' and '64 bit' in sys.version),
"numpy.intp('0xff', 16) not supported on Py3, "
"as it does not inherit from Python int")
def test_intp(self,level=rlevel):
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