如何同时裁剪具有窗口大小的numpy数组的每个元素，而不会循环遍历每个像素？

import numpy as np

def crop_array(arr, window_size):
    height, width = arr.shape
    window_height, window_width = window_size
    
    # 计算裁剪的起始位置
    start_row = (height - window_height) // 2
    start_col = (width - window_width) // 2
    
    # 使用高级索引进行裁剪
    cropped_arr = arr[start_row:start_row + window_height, start_col:start_col + window_width]
    
    return cropped_arr

# 示例用法
arr = np.array([[1, 2, 3, 4],
                [5, 6, 7, 8],
                [9, 10, 11, 12],
                [13, 14, 15, 16]])

window_size = (2, 2)
cropped_arr = crop_array(arr, window_size)
print(cropped_arr)

def crop_array_safe(arr, window_size):
    height, width = arr.shape
    window_height, window_width = window_size
    
    if window_height > height or window_width > width:
        raise ValueError("Window size exceeds array dimensions")
    
    start_row = (height - window_height) // 2
    start_col = (width - window_width) // 2
    
    cropped_arr = arr[start_row:start_row + window_height, start_col:start_col + window_width]
    
    return cropped_arr