[SciPy-user] Debian etch binaries

Steve Schmerler elcorto at gmx.net
Mon Nov 6 09:57:58 CST 2006


Hi

Since they are available now, I gave

python-numpy_1.0rc1-1_amd64.deb (rev. 3198)
python-scipy_0.5.1-3_amd64.deb (rev. 2190)

a try on a Debian etch machine (Python 2.4.4c0).

numpy.test() runs fine but the scipy:


#----------------------------------------------------------------------#
[...]

..zswap:n=3
...Result may be inaccurate, approximate err = 1.66455232845e-08
...Result may be inaccurate, approximate err = 7.73070496507e-12
..............................................................Residual:
1.05006987327e-07
.
****************************************************************
WARNING: cblas module is empty
-----------
See scipy/INSTALL.txt for troubleshooting.
Notes:
* If atlas library is not found by numpy/distutils/system_info.py,
   then scipy uses fblas instead of cblas.
****************************************************************

..................
======================================================================
ERROR: check loadmat case cellnest
----------------------------------------------------------------------
Traceback (most recent call last):
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 80, in cc
     self._check_case(name, expected)
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 75, in _check_case
     self._check_level(k_label, expected, matdict[k])
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 33, in _check_level
     self._check_level(level_label, ev, actual[i])
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 33, in _check_level
     self._check_level(level_label, ev, actual[i])
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 33, in _check_level
     self._check_level(level_label, ev, actual[i])
   File "/usr/lib/python2.4/site-packages/scipy/io/tests/test_mio.py",
line 30, in _check_level
     assert len(expected) == len(actual), "Different list lengths at %s"
% label
TypeError: len() of unsized object

======================================================================
FAIL: check_rvs (scipy.stats.tests.test_distributions.test_randint)
----------------------------------------------------------------------
Traceback (most recent call last):
   File
"/usr/lib/python2.4/site-packages/scipy/stats/tests/test_distributions.py",
line 84, in check_rvs
     assert isinstance(val, numpy.ScalarType),`type(val)`
AssertionError: <type 'numpy.ndarray'>

----------------------------------------------------------------------
Ran 1569 tests in 3.719s

FAILED (failures=1, errors=1)
Out[6]: <unittest.TextTestRunner object at 0x2aeb9073ab50>
#----------------------------------------------------------------------#

I guess this is fixed in svn? Generally, do I have to expect performance 
issues compared to self-compiled builds (I think I don't as long as I 
don't build my own ATLAS, FFTW, ...)?

-- 
cheers,
steve

Random number generation is the art of producing pure gibberish as 
quickly as possible.




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