Numpy 1.4.1. I built it myself. The version of numpy in question on CentOS was built against a 2.6.5 version of python 64 bit binary and built/installed with pip.
The version which is working on my OS X is a universal binary and both python and numpy are built as such. I'm running python in 64bit mode though and all works fine there. I just tried to install numpy as per yum instructions on numpy site with the default Centos python 2.4. It installed numpy 1.2 and the determinant function works there. I need to get this to work with 2.6 though, as my app relies on it. Any ideas? Thanks. Ilya On Sun, May 30, 2010 at 4:02 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Sun, May 30, 2010 at 1:32 PM, Ilya Sterin <ster...@gmail.com> wrote: >> >> I'm not sure what's causing this at this point and before I dig deeper >> thought someone can shed some light... >> >> On my Mac OS X python 2.6.1, numpy.linalg.det functions properly... >> >> >>> numpy.linalg.det(numpy.array([[1, 2], [3, 4]])) >> -2.0 >> >> On Centos 5 python 2.6.5, I get and IndexError (out of bounds)... >> >> >>> numpy.linalg.det(numpy.array([[1, 2], [3, 4]])) >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> File "/opt/python2.6/lib/python2.6/site-packages/numpy/linalg/linalg.py", >> line 1507, in det >> return (1.-2.*sign)*multiply.reduce(diagonal(a), axis=-1) >> File >> "/opt/python2.6/lib/python2.6/site-packages/numpy/core/fromnumeric.py", >> line 949, in diagonal >> return asarray(a).diagonal(offset, axis1, axis2) >> IndexError: index 12884901888 out of bounds 0<=index<4 >> >> Any ideas? >> > > What numpy version? Also, who built the numpy/python? I rather suspect a > type problem somewhere. > > Chuck > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
