[SciPy-user] Scipy.test() fails on Linux 64

BERTHE Loic berthe.loic@gmail....
Fri Feb 15 10:47:06 CST 2008


I'm trying to install scipy from source on a linux 64 box.
Here is my configuration :
 > uname -a
Linux 2.4.21-32.ELsmp #1 SMP Fri Apr 15 21:03:28 EDT 2005 x86_64 x86_64
x86_64 GNU/Linux
 > gcc --version
gcc (GCC) 3.2.3 20030502 (Red Hat Linux 3.2.3-52)

I've installed python 2.5.1, lapack 3.1.1, atlas 3.8, numpy 1.0.4.
I've seen no compilation errors, and Numpy's test suite  runs OK.

Then, I tried to install scipy 0.60 .
It compiles fine, but I've got errors when running the test suite :

> grep FAIL 11_scipy.bash.log
Warning: FAILURE importing tests for <module 'scipy.linsolve.umfpack' from
Warning: FAILURE importing tests for <module 'scipy.linsolve.umfpack.umfpack'
from '...y/linsolve/umfpack/umfpack.pyc'>
FAIL: check_syevr (scipy.lib.tests.test_lapack.test_flapack_float)
FAIL: check_syevr_irange (scipy.lib.tests.test_lapack.test_flapack_float)
FAIL: check_simple (scipy.linalg.tests.test_decomp.test_eig)
FAIL: check_simple (scipy.linalg.tests.test_decomp.test_eigvals)
FAIL: check_simple_tr (scipy.linalg.tests.test_decomp.test_eigvals)
FAIL: test_explicit (scipy.tests.test_odr.test_odr)
FAIL: test_multi (scipy.tests.test_odr.test_odr)
FAILED (failures=7)

Could you please have a look at my installation logs (which are attached to
this mail), and help me installing Scipy :

    - I'm not used to compile on that Linux64 box. I've added options like
'-fPIC and -m 64' ,
      but i'm not sure this is enough. Have you got any advices ?

    - scipy.linalg seems to have some pb but I didn't have any pb when
running numpy.test(),
      What are the differences between scipy.linalg and numpy.linalg ?
      Why do I have pb with scipy and not with numpy ?

    - Besides, I did'nt have any pb compiling lapack and atlas, but I see pb
with lapack.
      Any Idea on where it comes from ?

    - I see pb with odr, and I'm not sure to need this module. If I don't
succeed in solving this pb, is there a way to desactivate this package, and
prevent someone to use a "buggy" or "bad-installed" module ?


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