I'm looking at a situation where I like to wrap a C++ function that takes two doubles as inputs, and returns an error code, a position vector, and a velocity vector so that I essentially would have a function signature of (N), (N) -> (N), (N, 3), (N, 3). When I try to use np.vectorize() or np.frompyfunc() on the python version of this function, I keep running into issues where it wants to make the outputs into object arrays of tuples. And looking at utilizing PyUFunc_FromFuncAndData, it isn't clear to me how I can tell it to expect those two output arrays to have a size 3 outer dimension.
Are ufuncs the wrong thing here? How should I go about this? Is it even possible? Thanks in advance, Ben Root
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