Python中线程池的实现

# !/usr/bin/env python# -*- coding:utf-8 -*-# ref_blog:http://www.open-open.com/home/space-5679-do-blog-id-3247.htmlimport Queueimport threadingimport timeclass WorkManager(object):    def __init__(self, work_num=1000,thread_num=2):        self.work_queue = Queue.Queue()        self.threads = []        self.__init_work_queue(work_num)        self.__init_thread_pool(thread_num)    """        初始化线程    """    def __init_thread_pool(self,thread_num):        for i in range(thread_num):            self.threads.append(Work(self.work_queue))    """        初始化工作队列    """    def __init_work_queue(self, jobs_num):        for i in range(jobs_num):            self.add_job(do_job, i)    """        添加一项工作入队    """    def add_job(self, func, *args):        self.work_queue.put((func, list(args)))#任务入队，Queue内部实现了同步机制    """        检查剩余队列任务    """    def check_queue(self):        return self.work_queue.qsize()    """        等待所有线程运行完毕    """       def wait_allcomplete(self):        for item in self.threads:            if item.isAlive():item.join()class Work(threading.Thread):    def __init__(self, work_queue):        threading.Thread.__init__(self)        self.work_queue = work_queue        self.start()    def run(self):        #死循环，从而让创建的线程在一定条件下关闭退出        while True:            try:                do, args = self.work_queue.get(block=False)#任务异步出队，Queue内部实现了同步机制                do(args)                self.work_queue.task_done()#通知系统任务完成            except Exception,e:                print str(e)                break#具体要做的任务def do_job(args):    print args    time.sleep(0.1)#模拟处理时间    print threading.current_thread(), list(args)if __name__ == '__main__':    start = time.time()    work_manager =  WorkManager(10, 2)#或者work_manager =  WorkManager(10000, 20)    work_manager.wait_allcomplete()    end = time.time()    print "cost all time: %s" % (end-start)