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lang-py
cdef double[::1] output = np.empty(n, dtype=np.float64)improve the performance? It looks likecdef np.ndarray[dtype=double] output = np.empty(n, dtype=np.float64)causes strided memory access afterwards which often prevents SIMD-vectorization. (I looked that up in the html generated with the -a flag, but have no gcc available right now.)