[Numpy-discussion] [Announce] Numpy 1.3.0b1

Robert Pyle rpyle@post.harvard....
Thu Mar 19 10:17:43 CDT 2009


Hi,

First of all, thanks to everyone for all the hard work.

On Mar 18, 2009, at 10:43 PM, David Cournapeau wrote:

> I am pleased to announce the release of the first beta for numpy
> 1.3.0. You can find source tarballs and installers for both Mac OS X

I'm on a dual G5 Mac running OS X 10.5.6 and Enthought's EPD python:
    Python 2.5.2 |EPD Py25 4.1.30101| (r252:60911, Dec 19 2008,  
15:28:32)

I deleted my old numpy, downloaded the Mac .dmg file and went through  
what claimed to be a successful installation, only to find no numpy.    
I tracked the new version down to /Library/Python/2.5/site-packages, a  
directory that I didn't know existed (site-packages is the only thing  
there).  So I downloaded the source tarball and installed in the usual  
way with no problem into

/Library/Frameworks/Python.framework/Versions/4.1.30101/lib/python2.5/ 
site-packages/

So my question is, why did the Mac .mkpg installer put numpy in the  
wrong place?

I'm getting one test failure with 1.3.0b1 ---

FAIL: test_umath.TestComplexFunctions.test_loss_of_precision(<type  
'numpy.complex256'>,)
----------------------------------------------------------------------
Traceback (most recent call last):
   File "/Library/Frameworks/Python.framework/Versions/4.1.30101/lib/ 
python2.5/site-packages/nose-0.10.3.0001-py2.5.egg/nose/case.py", line  
182, in runTest
     self.test(*self.arg)
   File "/Library/Frameworks/Python.framework/Versions/4.1.30101/lib/ 
python2.5/site-packages/numpy/core/tests/test_umath.py", line 498, in  
check_loss_of_precision
     check(x_series, 2*eps)
   File "/Library/Frameworks/Python.framework/Versions/4.1.30101/lib/ 
python2.5/site-packages/numpy/core/tests/test_umath.py", line 480, in  
check
     assert np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max())
AssertionError: (0, nan, nan)

----------------------------------------------------------------------

Bob Pyle
Cambridge, MA





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