[Numpy-discussion] BLAS and LAPACK ABI questions (mostly OSX related)

NumPy seems to define BLAS and LAPACK functions with gfortran ABI: https://github.com/numpy/numpy/blob/master/numpy/linalg/umath_linalg.c.src#L... extern float FNAME(sdot)(int *n, float *sx, int *incx, float *sy, int *incy); What happens on OS X where Accelerate Framework uses f2c ABI? SciPy has C wrappers for Accelerate to deal with this. Should NumPy adopt those as well? And while we are at it, why are LAPACK subroutines declared to return int? I thought a Fortran subroutine should map to a void function in C. From the same file: extern int FNAME(dgesv)(int *n, int *nrhs, double a[], int *lda, int ipiv[], double b[], int *ldb, int *info); Sturla