有没有比使用嵌套循环更好的解决方案的方法呢？

import numpy as np

# 使用嵌套循环
result = []
for i in range(len(array1)):
    for j in range(len(array2)):
        result.append(array1[i] * array2[j])

# 使用向量化操作
result = np.outer(array1, array2)

def recursive_solution(data):
    if len(data) == 1:
        return data[0]
    else:
        mid = len(data) // 2
        left = recursive_solution(data[:mid])
        right = recursive_solution(data[mid:])
        return left + right

# 使用内置函数sum和map
result = sum(map(lambda x, y: x * y, array1, array2))

from multiprocessing import Pool

def process_item(item):
    # 处理单个元素的逻辑
    return item * 2

with Pool(processes=4) as pool:
    result = pool.map(process_item, data)

result = (x * y for x in array1 for y in array2)

lookup_table = {key: value for key, value in data}
result = [lookup_table[key] for key in keys]