Briefly, I'm encountering difficulties getting things working in numpy distutils for fwrap's build system.
Here are the steps I want the build system to accomplish: 1) Compile a directory of Fortran 90 source code -- this works. - The .mod files generated by this compilation step are put in the build directory. 2) Fwrap needs to call numpy.distutils.config.try_compile with some generated fortran source code that depends on the .mod files generated in 1). For example: Suppose a fortran 90 module 'type_params.mod' is generated in step 1). Fwrap would generate this fortran source code and try to compile it: subroutine s0(a) use, intrinsic :: iso_c_binding integer(c_int) :: a interface subroutine s1(a) use type_params, only : int_param integer(int_param) :: a end subroutine s1 end interface call s1(a) end subroutine s0 If this compiles correctly with no errors about type incompatibilities, then we know that the int_param in type_params module corresponds to the C int type. If it doesn't, then we try the other C integer types ('c_long', 'c_long_long', 'c_short', 'c_char') until no error is generated (otherwise fail). This then ensures that the type mappings between Fortran and C are correct, and we can then go on to generate appropriate config files with this information. So, this generated fortran source code depends on step 1), since the type_params.mod file must exist first. Then we call config.try_compile and see if it works. My problem is in instantiating numpy.distutils.config such that it is appropriately configured with command line flags. I've tried the following with no success: ('self' is a build_ext instance) cfg = self.distribution.get_command_obj('config') cfg.initialize_options() cfg.finalize_options() # doesn't do what I hoped it would do. This creates a config object, but it doesn't use the command line flags (e.g. --fcompiler=gfortran doesn't affect the fortran compiler used). Any pointers? More generally -- seeing the above, any ideas on how to go about doing what I'm trying to do better? Thanks, Kurt _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion