[SciPy-User] building scipy with

[Agile]

Hi - I've built Python 2.5.4 with gcc 4.1.2 and with numpy 1.3.0 on 32
bit machine running
CentOS 5.3 using the following instructions for ATLAS officially
sanctioned by SciPy:

http://www.scipy.org/Installing_SciPy/Linux#head-40c26a5b93b9afc7e3241e1d7fd84fe9326402e7

That is, I'm using the DavidCournapeau method. This is the method
where one ends up having just
2 libraries installed in /usr/lib/atlas/sse2, namely

   libblas.so.3.0
   liblapack.so.3

Numpy works fine, and using Nose, it was tested with 2030 tests and
finished with the following
message

   [OK] (KNOWNFAIL=1)

I'm not really sure what this means, but it suggests that 1 out of
2030 tests failed - I'm going
to ignore the failure for now (since there was no clue as to which
tested failed anyway.)  Hence
I can safely say Numpy is working properly for at 2029 tests.

The problem is I can't even begin to build Scipy because it craps out
immediately claiming it
can't find the ATLAS libraries (and suggests setting BLAS_SRC and
LAPACK_SRC environment
variables for a non-optimized build.)

My question is, since it's recommend method of building ATLAS for
Scipy, what do I have to do
to make it work with Scipy?

Here's the current Numpy's site.cfg.

   [DEFAULT]
   library_dirs = /usr/devtools/lib:/usr/lib/atlas/sse2
   include_dirs = /usr/devtools/include:/usr/include
   [blas_opt]
   #libraries = f77blas, cblas, atlas
   libraries = blas
   [lapack_opt]
   #libraries = lapack, f77blas, cblas, atlas
   libraries = lapack
   [fftw]
   libraries = fftw3

Any help would greatly appreciated.

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