On Tue, Jun 16, 2009 at 8:21 AM, william ratcliff<william.ratcl...@gmail.com> wrote: > Hi! I'm looking at trying to bind a rather large (>150K lines of code) > crystallography library to python and would like to know what the state of > F2py is. Are allocatable arrays supported? Derived types? Modules, > Pointers, etc.? Is there a list somewhere? Has anyone else looked into > wrapping such a large code base? If so, any pointers?
I've never used the current distributed version of f2py (numpy.f2py I believe is the default one) to wrap a library as large as this, and I don't believe that f2py can handle assumed-shape arrays as arguments to routines -- I haven't checked its support for allocatable, though, but I don't think so. I'm certainly open to correction, though. In my experience, f2py excels at wrapping Fortran 77-style programs with older array passing conventions, where the shape information is passed in as arguments to a subroutine/function. It won't solve your problem currently, but you might be interested in my GSoC project which aims to do just what you want -- binding a fortran library to Cython/Python, with support for allocatable/assumed-shape/assumed-size array arguments, pointers, derived types, modules, etc. It is being heavily developed as we speak, but will (hopefully) be usable by sometime this fall. Your library seems pretty large, which would be an excellent test for the GSoC project. If you are willing, and when the project is ready to tackle such a library, we'd be glad to work with you to get your library wrapped. As mentioned, we won't be at this point until the fall, though. Pearu has been kind enough to let us use the 'fparser' module from the G3F2PY project as the fortran parser, so the work of f2py continues on in our GSoC work. There are a few software requrirements -- we've tried to keep dependencies to a minimum: 1) a fortran compiler that supports the intrinsic ISO_C_BINDING module -- gfortran 4.3.3 supports it, as do pretty much every current version of other compilers. 2) The GSoC project is distributed with Cython. 3) Python version >= 2.5. 4) Hopefully you're not on windows -- we certainly plan on supporting Windows at some point in the future, but we don't have access to it for testing right now. Hope this helps, Kurt Smith _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
