Excellent news! May you get lots of users and (easy to address) bug reports. Sounds like it does a lot already.
- Robert On Sat, Aug 7, 2010 at 5:33 PM, Kurt Smith <[email protected]> wrote: > Fwrap v0.1.0 > ============ > > I am pleased to announce the first release of Fwrap v0.1.0, a utility for > wrapping Fortran code in C, Cython and Python. Fwrap focuses on supporting > the > features of Fortran 90/95, but will work with most well-behaved Fortran 77 > code, too. > > Fwrap is BSD licensed. > > Fwrap is beta-level software; all public APIs and commandline options are > subject to change. > > Features in the v0.1.0 release: > > * Fortran source parsing and automatic wrapper generation; > > * Top-level (non-module) Fortran subroutines and functions; > > * Supports all intrinsic types (integer, real, complex, logical & > character); > > * Default and non-default intrinsic types properly wrapped; > > * Scalar and array arguments supported; > > * Supports assumed-shape, assumed-size, and explicit-shape array arguments; > > * Intent 'in', 'inout', 'out' and no intent arguments supported; > > * Automatic docstring generation for extension module and functions; > > * Wrappers are portable w.r.t. both Fortran and C compilers. > > Upcoming features: > > * "Use" statement support; > > * Python & Cython callback support; > > * Kind-parameters in type specification; > > * Module-level data and parameters; > > * User-derived types. > > See the README and documentation for requirements, compiler support, etc. > > Download > -------- > > You can get fwrap from pypi or from its sourceforge download page: > > https://sourceforge.net/projects/fwrap/files/ > > More Info > --------- > > Project homepage, including links to wiki & bug tracker: > > http://fwrap.sourceforge.net/ > > Mailing list: > > http://groups.google.com/group/fwrap-users > > Development blog: > > http://fortrancython.wordpress.com/ > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
