一个多线程、多进程的脚本

IO 密集多尽量用多线程,
CPU 密集尽量用多进程

from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor
import time

def func(args):
    print(f'call func {args}')

    
if __name__ == "__main__":
    seed = ['a', 'b', 'c', 'd']

    # 多线程
    with ThreadPoolExecutor(3) as executor:
        executor.submit(func, seed)             # call func ['a', 'b', 'c', 'd']
    
    time.sleep(1)

    # 多进程
    start = time.time()
    with ProcessPoolExecutor() as process:      # 不指定进程数，默认为系统的核心数
        future_tasks = [process.submit(func, seed)]
    print(time.time() - start)


    # with ThreadPoolExecutor(3) as executor2:
    #     executor2.map(func, seed)               # 列表映射，传入四次
    
    # time.sleep(1)

    # with ThreadPoolExecutor(max_workers=1) as executor:
    #     future = executor.submit(pow, 2, 3)
    #     print(future.result())