[SciPy-dev] Seg fault while running scipy.test under Red Hat EL
Jeremy Conlin
jeremit0 at gmail.com
Mon Aug 6 14:49:39 EDT 2007
I have just installed numpy and scipy from the svn repository and I am
having a few problems. I get a seg. fault when I run scipy.test(1,10) (see
results below). And I get the following error when I try to load the stats
package:
$ python2.5
Python 2.5 (r25:51908, Apr 10 2007, 10:37:31)
[GCC 3.4.6 20060404 (Red Hat 3.4.6-3)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import scipy.stats
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.5/site-packages/scipy/stats/__init__.py",
line 7, in <module>
from stats import *
File "/usr/local/lib/python2.5/site-packages/scipy/stats/stats.py", line
192, in <module>
import scipy.linalg as linalg
File "/usr/local/lib/python2.5/site-packages/scipy/linalg/__init__.py",
line 8, in <module>
from basic import *
File "/usr/local/lib/python2.5/site-packages/scipy/linalg/basic.py", line
313, in <module>
import decomp
File "/usr/local/lib/python2.5/site-packages/scipy/linalg/decomp.py", line
22, in <module>
from blas import get_blas_funcs
File "/usr/local/lib/python2.5/site-packages/scipy/linalg/blas.py", line
14, in <module>
from scipy.linalg import fblas
ImportError: /usr/local/lib/python2.5/site-packages/scipy/linalg/fblas.so:
undefined symbol: srotmg_
>>>
I am using RedHat Enterprise Linux with gcc and g77 version 3.4.6.
Can someone help me understand what is wrong with my installation and how to
fix it?
Thanks,
Jeremy
$ python2.5
Python 2.5 (r25:51908, Apr 10 2007, 10:37:31)
[GCC 3.4.6 20060404 (Red Hat 3.4.6-3)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import scipy
>>> scipy.test(1,10)
…
…
uniform fourier filter for real transforms 1 ... ok
gaussian filter 1 ... ok
gaussian filter 2 ... ok
gaussian filter 3 ... ok
gaussian filter 4 ... ok
gaussian filter 5 ... ok
gaussian filter 6 ... ok
gaussian gradient magnitude filter 1 ... ok
gaussian gradient magnitude filter 2 ... ok
gaussian laplace filter 1 ... ok
gaussian laplace filter 2 ... ok
generation of a binary structure 1 ... ok
generation of a binary structure 2 ... ok
generation of a binary structure 3 ... ok
generation of a binary structure 4 ... ok
generic filter 1Illegal instruction
$
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scipy-dev/attachments/20070806/b78bfe06/attachment.html>
More information about the SciPy-Dev
mailing list