Cython:如何在不需要GIL的情况下从numpy内存视图转到向量[pair[double，double]]？

import numpy as np
cimport numpy as np
from libc.math cimport sin, cos

cdef void convert_to_vector(np.ndarray[np.double_t, ndim=2] input_array, pair[double, double]* output_vector):
    cdef int i
    cdef int n = input_array.shape[0]
    
    for i in range(n):
        output_vector[i].first = sin(input_array[i, 0])
        output_vector[i].second = cos(input_array[i, 1])

cythonize -i my_module.pyx

import my_module

# 创建NumPy内存视图
input_array = np.array([[0.1, 0.2], [0.3, 0.4]], dtype=np.double, order='C')
input_view = input_array.view(np.double).reshape(-1, 2)

# 创建输出向量
output_vector = np.empty(input_view.shape[0], dtype=[('first', np.double), ('second', np.double)])

# 调用Cython函数进行转换
my_module.convert_to_vector(input_view, <pair[double, double]*>output_vector.ctypes.data)

# 打印结果
print(output_vector)