On 8/13/2010 12:06 PM, Forbes J. Burkowski wrote:
What are the steps that need to be taken if the Python used in Chimera is to have the ability to import functions from SciPy or PySparse?
Thanks for any advice that you can provide.
Cheers, Forbes Burkowski
If you want to use prebuilt SciPy binaries with chimera, you need one that is compatible with the version of chimera that chimera is using. Chimera 1.4.x uses Python 2.5, and the daily builds use Python 2.7. You would add those packages to chimera by either (1) given the '--pypath dir' command line option, (2) setting your CHIMERAPTH environment variable (instead of PYTHONPATH, PYTHONPATH is ignored so chimera won't be accidentally broken by other installed Pythons), or (3) add the installation directory to sys.path in Python. If you're not using a daily build on Linux, then you should edit CHIMERA/share/chimeraInit.py and comment out or remove the part that sets the RTLD_GLOBAL flag -- it appears to be no longer needed and its presence breaks SciPy. If you're going to compile from source, which you'll need to do if you're using a daily build, I'd recommend trying PySparse first, since it is a smaller package. Python packages that incorporate C (or C++ or Fortran) code are more difficult than prebuilt binaries because (a) you need a compiler, and (b) if the code calls the Python C API, you need a compatible compiler, ideally the same one as what the rest of Chimera was build with. PySparse needs BLAS and LAPACK libraries and optionally wants UMFPACK and/or SuperLU. On on Redhat and Fedora Linux, you can get the first three libraries by installing the blas-devel, lapack-devel, and suitesparse-devel packages. Chances are you'll be able to install PySparse into chimera's python by running "CHIMERA/bin/pythonXXX setup.py install" in the pysparse source tree (where CHIMERA is the path to where chimera was installed). On Linux, you might have to set the LD_LIBRARY_PATH environment variable to CHIMERA/lib. On Mac OS X, the path to the chimera binary is CHIMERA/Contents/Resources/bin/pythonXXX and the environment variable is DYLD_LIBRARY_PATH. Or you could install PySparse into another Python and use the --pypath/CHIMERAPATH/sys.path approach as given above. Hope this helps, Greg