当我在main环境中运行Python的多处理池时，我得到了预期的输出，即由于并行处理而减少了时间。
但是当我在没有main环境的情况下运行相同的代码时，它只会抛出错误

from multiprocessing import Pool
import os
import time

def get_acord_detected_json(page_no):
    time.sleep(5)
    return page_no*page_no

def main():
    n_processes = 2
    page_num_list = [1,2,3,4,5]
    print("n_processes : ", n_processes)
    print("page_num_list : ", page_num_list)
    print("CPU count : ", os.cpu_count())
    t1 = time.time()
    with Pool(processes=n_processes) as pool:
        acord_js_list = pool.map(get_acord_detected_json, page_num_list)

    print("acord_js_list : ", acord_js_list)
    t2 = time.time()
    print("t2-t1 : ", t2-t1)

if __name__=="__main__":
    main()

输出量：

n_processes :  2
page_num_list :  [1, 2, 3, 4, 5]
CPU count :  8
acord_js_list :  [1, 4, 9, 16, 25]
t2-t1 :  15.423236846923828

但当我这样做

main()

代替

if __name__=="__main__":
    main()

我收到不间断的错误日志（崩溃日志）