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  • Python 多进程练习

     1 import multiprocessing
     2 import os
     3 import time
     4 
     5 
     6 def get_html(n):
     7     time.sleep(n)
     8     print('sub_progress success')
     9     return n
    10 
    11 
    12 if __name__ == '__main__':
    13     # progress = multiprocessing.Process(target=get_html,args=(2,))
    14     # progress.start()
    15     # progress.join()
    16     # print('main progress end')
    17 
    18 
    19     pool = multiprocessing.Pool(multiprocessing.cpu_count())
    20     result = pool.apply_async(get_html, args=(3,))
    21 
    22     #等待所有任务完成
    23     pool.close()
    24     pool.join()
    25     print(result.get())
    26 import time
    27 from concurrent.futures import ThreadPoolExecutor, as_completed
    28 from concurrent.futures import ProcessPoolExecutor
    29 
    30 def fib(n):
    31     if n<=2:
    32         return 1
    33     return fib(n-1)+fib(n-2)
    34 
    35 
    36 with ProcessPoolExecutor(3) as executor:
    37     all_task = [executor.submit(fib,num) for num in range(25,35)]
    38     start_time = time.time()
    39     for future in as_completed(all_task):
    40         data = future.result()
    41         print('get {} page'.format(data))
    42 
    43     print('last time is:{}'.format(time.time()-start_time))
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  • 原文地址:https://www.cnblogs.com/jeff-ideas/p/10540366.html
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