python 线程池和进程池例子

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import difflib
import random
import os
from concurrent.futures import ThreadPoolExecutor, wait, ProcessPoolExecutor
import time
import traceback

def spend_time(f):
    def wrapper(*args):
        start = time.time()
        f(*args)
        end = time.time()
        print("%s spend %ss" %(f.__name__, end - start))
    return wrapper


def fn():
    s1 = '''
    比较 fromlines 和 tolines (字符串列表) 并返回一个字符串，表示一个完整 HTML 文件，其中包含各行差异的表格，行间与行外的更改将突出显示。'''.split('\n')
    s2 = '''比较 fromlines 和 tolines (字符串列表) 并返回一个字符串，表示一个完整 HTML 文件，其中包含各行差异的表格，行间与行外的更改将突出显'''.split('\n')
    d = difflib.HtmlDiff()
    filename = os.path.join(os.path.dirname(__file__),'diff%s.html' % random.randint(1,1000000)) 
    # print(filename)
    with open(filename, 'w') as f:
        f.write(d.make_file(s1, s2))
    os.remove(filename)

@spend_time
def ex1(n):
    tasks = []
    ex = ThreadPoolExecutor()
    for i in range(n):
        tasks.append(ex.submit(fn))
    wait(tasks)

@spend_time
def ex0(n):
    for i in range(n):
        fn()

@spend_time
def ex2(n):
    tasks = []
    ex = ProcessPoolExecutor()
    for i in range(n):
        tasks.append(ex.submit(fn))
    wait(tasks)

if __name__ == "__main__":
    try:
        # s
        n = 50000
        ex0(n)
        ex1(n)
        ex2(n)
    except:
        print(traceback.format_exc())

线程

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multiprocessing线程进程python

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python 线程池和进程池例子

python 线程池和进程池例子