Hello Pearu, Thanks very much for your consistent help! so I think what happened is I got Numeric 23.7 which was basically creating the problem (not sure why), I was not sure what to do so I just got a previous version of Numeric 23.5 and installed that and BAM the problem is solved, so I am sure not sure what the difference between 23.5 and 23.7 but the reshape and resize functions were giving me problems on Opteron. I think at this point I have everything, a quick question is do you need wxPython for running scipy.test() because it is complaining /projects/mice/share/arch/linux64/lib/python2.2/site-packages/scipy/plt/interface.pyc No module named wxPython Thanks very much Leila On Sun, 2005-03-06 at 16:24, Pearu Peterson wrote:
On Sun, 6 Mar 2005, Leila baghdadi wrote:
Hi everyone,
I have finally managed to build scipy on Opteron (red hat linux enterprise 3),
so I can import it in python with no problems
but when I go to scipy/tests and
try to run any of the tests
python test_common.py
A proper way to run scipy tests is the following:
import scipy scipy.test()
the following error appears,
can anyone give me a hint,
File "/usr/lib64/python2.2/unittest.py", line 412, in loadTestsFromTestCase self.getTestCaseNames(testCaseClass))) File "test_common.py", line 20, in __init__ self.z = rand(100,10,20) File "/projects/mice/share/arch/linux64/lib64/python2.2/site-packages/scipy_base/ppimport.py", line 115, in __call__ return self._ppimport_attr(*args,**kwds) File "/projects/mice/share/arch/linux64/lib64/python2.2/site-packages/scipy/stats/distributions.py", line 82, in rand return random(args) File "/projects/mice/share/arch/linux64/lib64/python2.2/site-packages/scipy/stats/distributions.py", line 75, in random return _build_random_array(randfile.sample, (), size) File "/projects/mice/share/arch/linux64/lib64/python2.2/site-packages/scipy/stats/distributions.py", line 66, in _build_random_array s.shape = size ValueError: total size of new array must be unchanged
What Numeric version are you using? Try upgrading Numeric to the latest. Also, using Python 2.3 and up is recommended.
Pearu
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