将复杂的numpy数组传递给Cython中的C++

import numpy as np
cimport numpy as np

def process_array(np.ndarray[np.float64_t, ndim=2] arr):
    # 在这里编写处理NumPy数组的C++代码
    pass

cdef extern from "your_cpp_file.hpp":
    void your_cpp_function(double* arr, int rows, int cols)

def process_array(np.ndarray[np.float64_t, ndim=2] arr):
    cdef int rows = arr.shape[0]
    cdef int cols = arr.shape[1]
    cdef double* data_ptr = <double*>np.PyArray_DATA(arr)
    
    your_cpp_function(data_ptr, rows, cols)

import your_cython_module

arr = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
your_cython_module.process_array(arr)