How To Access Arrays Passed To Ctypes Callbacks As Numpy Arrays?

I'm trying to integrate some numerical code written in C into a Python library using numpy and ctypes. I've already got the actual computations working but would now like to report

Solution 1:

I've found a solution using ctypes.POINTER(ctypes.c_double) and numpy.ctypeslib.as_array - according to the numpy.ctypeslib documentation, this will share the memory with the array:

callback_func = ctypes.CFUNCTYPE(
    None,            # return
    ctypes.POINTER(ctypes.c_double), # x
    ctypes.c_int     # n
)

[...]

@callback_funcdefcallback(x, n):
    x = npct.as_array(x, (n,))
    print("x: {0}, n: {1}".format(x, n))

Anyone with a more elegant solution, perhaps using the ndpointer objects?