将一个numpy数组从Python传递到C++

import numpy as np
cimport numpy as np

# 定义一个函数，用于将numpy数组传递给C++
def pass_array(np.ndarray[np.float64_t, ndim=1] arr):
    cdef int n = arr.shape[0]
    cdef double* c_arr = <double*> np.PyArray_DATA(arr)

    # 在这里可以调用C++函数，对数组进行处理
    # ...

    return

from distutils.core import setup
from Cython.Build import cythonize
import numpy

setup(
    ext_modules = cythonize("example.pyx"),
    include_dirs=[numpy.get_include()]
)

python setup.py build_ext --inplace

#include <Python.h>
#include <numpy/arrayobject.h>

int main() {
    // 初始化Python解释器
    Py_Initialize();

    // 导入扩展模块
    PyObject* module = PyImport_ImportModule("example");

    // 获取函数对象
    PyObject* function = PyObject_GetAttrString(module, "pass_array");

    // 创建numpy数组
    npy_intp dims[1] = {3};
    PyObject* array = PyArray_SimpleNewFromData(1, dims, NPY_DOUBLE, new double[3]);

    // 调用函数
    PyObject_CallFunctionObjArgs(function, array, NULL);

    // 释放资源
    Py_DECREF(array);
    Py_DECREF(function);
    Py_DECREF(module);

    // 清理Python解释器
    Py_Finalize();

    return 0;
}