Optimizing Cython loop compared to Numpy
#cython: boundscheck=False, wraparound=False, nonecheck=False, cdivision=True, language_level=3 cpdef int query(double[::1] q, double[:,::1] data) nogil: cdef: int n = data.shape[0] …
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#cython: boundscheck=False, wraparound=False, nonecheck=False, cdivision=True, language_level=3 cpdef int query(double[::1] q, double[:,::1] data) nogil: cdef: int n = data.shape[0] …
I am trying to wrap my c++ class into python using Cython. I am able to create the so file and import in python, but the constructor of my c++ class is called multiple time. This is what I have done …
Newbie to Cython. I am using the following code snippet in a file called setup.py to compile another file into Cython (it was suggested by an SO user to me over here): from distutils.core import setup …