[SciPy-user] Debian etch binaries
Steve Schmerler
elcorto at gmx.net
Mon Nov 6 10:57:58 EST 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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