Documenting mixed programming of numpy and C + +

Preparing to record mixed programming for NumPy and C + +

#include <boost/python.hpp> #include <numpy/ndarrayobject.h>namespace bp = boost::p ython;void reference_ Contiguous_array (pyobject* in, pyarrayobject* In_con, double* ptr, int& count) {In_con = Pyarray_getc    Ontiguous ((pyarrayobject*) in);    ptr = (double*) pyarray_data (In_con);    int Num_dim = Pyarray_ndim (In_con);    npy_intp* Pdim = Pyarray_dims (In_con);    Count = 1;    for (int i = 0; i < Num_dim; i++) {count *= pdim[i]; }}void dereference (pyobject* o) {py_decref (o);}    pyobject* Entry_square_matrix (pyobject* input_matrix) {//Get the input array double* ptr;    int count;    pyarrayobject* Input_contigous_array;     Reference_contiguous_array (Input_matrix, Input_contigous_array, PTR, count);    Create the output array npy_intp dst_dim[1];        Dst_dim[0] = count;    pyobject* Out_matrix = pyarray_simplenew (1, Dst_dim, Npy_float64);    Double* ptr_out;    pyarrayobject* Output_contigous_array; Reference_contiguous_arrAy (Out_matrix, Output_contigous_array, Ptr_out, Count);    for (int i = 0; i < count; i++) {ptr_out[i] = ptr[i] * Ptr[i];    } dereference ((pyobject*) input_contigous_array);    Dereference ((pyobject*) output_contigous_array); return Out_matrix;}    Boost_python_module (_func) {Import_array (); BP::d EF (Square_matrix, Entry_square_matrix);}

　　

Documenting mixed programming of numpy and C + +