用Python实现一个简单的线程池

# !/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)