如何在不复制的情况下将datetime64[ns]的数组传递给pybind11

#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <numpy/ndarrayobject.h>

void processDatetimeArray(pybind11::array_t<int64_t> datetimeArray) {
    pybind11::buffer_info info = datetimeArray.request();
    int64_t* dataPtr = static_cast<int64_t*>(info.ptr);
    int size = info.size;

    // 在这里对datetimeArray进行处理
    // ...
}

PYBIND11_MODULE(example, m) {
    m.def("process_datetime_array", &processDatetimeArray, "Process datetime array");
}

import numpy as np
import example

# 创建一个datetime64[ns]的数组
datetime_array = np.array(['2022-01-01T00:00:00', '2022-01-02T00:00:00'], dtype='datetime64[ns]')

# 调用C++函数处理数组
example.process_datetime_array(datetime_array)