2012/11/19 denis <[email protected]>:
> Folks,
> from a python function with args that may be float or double
> I want to call a corresponding C functions f_f32 or f_f64.
> Is there a better way than cython like
>
> cdef extern from "...":
> int f_f32( float* A, float* B )
> int f_f64( double* A, double* B )
> ...
>
> def func_float_or_double( np.ndarray A, np.ndarray B ):
> assert A.dtype is B.dtype
> if A.dtype.name == 'float32':
> return f_f32( A, B )
> elif A.dtype.name == 'float64':
> return f_f64( A, B )
> ...
Try calling ``f_f64`` with the data buffers of ``A`` and ``B``::
def func_float_or_double( np.ndarray A, np.ndarray B ):
assert A.dtype is B.dtype
if A.dtype.name == 'float32':
return f_f64(<np.float32_t*>(A.data), <np.float32_t*>(B.data))
elif A.dtype.name == 'float64':
return f_f64(<np.float64_t*>(A.data), <np.float64_t*>(B.data))
> (This may be more of a cython question, but you sklearn people must do this
> often ?)
>
> thanks,
> cheers
> -- denis
>
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--
Peter Prettenhofer
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