Python多线程练习

import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from concurrent.futures import ProcessPoolExecutor

def fib(n):
    if n<=2:
        return 1
    return fib(n-1)+fib(n-2)


with ProcessPoolExecutor(3) as executor:
    all_task = [executor.submit(fib,num) for num in range(25,35)]
    start_time = time.time()
    for future in as_completed(all_task):
        data = future.result()
        print('get {} page'.format(data))

    print('last time is:{}'.format(time.time()-start_time))

import multiprocessing
import os
import time


def get_html(n):
    time.sleep(n)
    print('sub_progress success')
    return n


if __name__ == '__main__':
    # progress = multiprocessing.Process(target=get_html,args=(2,))
    # progress.start()
    # progress.join()
    # print('main progress end')


    pool = multiprocessing.Pool(multiprocessing.cpu_count())
    result = pool.apply_async(get_html, args=(3,))

    #等待所有任务完成
    pool.close()
    pool.join()
    print(result.get())