>The safe way to access them, since they are not exposed, is to call the >function at the python level in your C code, but I don't think that's >what you want,
I want to avoid calling functions at the python level, because of the overhead for multiple calls within nested loops. I may have a solution: I've managed to get access to the BLAS fortran library by using in the setup.py file: from distutils.core import Extension from numpy.distutils import system_info myextension = Extension(<...> library_dirs = system_info.blas_opt_info().get_lib_dirs(), <...>) Then in my C++ code I can declare, e.g. extern "C" double ddot_(const int *N, const double *DX, const int *INCX, const double *DY, const int *INCY); ...and directly call the BLAS fortran library. This pattern works on my system (linux, using the system BLAS/LAPACK libraries). Is this a form that will work across different OSs and different installs? -Jake _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
