python模拟实现线程池，python线程池,# !/usr/bin/

python模拟实现线程池，python线程池,# !/usr/bin/

# !/usr/bin/env python   # -*- coding:utf-8 -*-   import Queue   import threading   import time   class 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       """          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:                   break #具体要做的任务   def do_job(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(10000, 10)#或者work_manager =  WorkManager(10000, 20)       work_manager.wait_allcomplete()       end = time.time()       print "cost all time: %s" % (end-start)