My system is Mac OSX 10.6.8, python.org 2.7.1. When I run numpy.test(), I see
the following warning:
>>> import numpy as np
>>> np.test()
Running unit tests for numpy
NumPy version 1.6.1rc2
NumPy is installed in
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy
Python version 2.7.1 (r271:86882M, Nov 30 2010, 09:39:13) [GCC 4.0.1 (Apple
Inc. build 5494)]
nose version 0.11.3
.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/numeric.py:1922:
RuntimeWarning: invalid value encountered in absolute
return all(less_equal(absolute(x-y), atol + rtol * absolute(y)))
Everything else completes with 3 KNOWNFAILs and 1 SKIP. This warning is not
new to this release; I've seen it before but haven't tried tracking it down
until today.
It arises in allclose(). The comments state "If either array contains NaN,
then False is returned." but no test for NaN is done, and NaNs are indeed what
cause the warning.
Inserting
if any(isnan(x)) or any(isnan(y)):
return False
before current line number 1916 in numeric.py seems to fix it.
Thanks to all for the great work. Numpy has saved me a lot of grief.
Bob Pyle
Cambridge, MA
_______________________________________________
NumPy-Discussion mailing list
[email protected]
http://mail.scipy.org/mailman/listinfo/numpy-discussion
