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.