Python multithreaded operations

# !/usr/bin/env python  # -*- coding:utf-8 -*-      import queue  import threading  import time  import re , Urllib2from bs4 import beautifulsoup   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)           "" "           Initialize thread       ""      def  __init_thread_pool (Self,threAd_num):           for i in range (Thread_num):               self.threads.append (Work ( self.work_queue))           "" "           Initialize Work queue       ""      def __init_work_ Queue (self, jobs_num):           for i in  range (Jobs_num):               Self.add_job (do_job, i,jobs_num)           "" "           Add a task to the queue       ""       def add_job (Self, func, *args):           self.work_queue.put (func, list (args))      #任务入队, a synchronization mechanism is implemented within the queue            ""           wait for all threads to finish running       ""         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 so that the created thread shuts down Under certain conditions exit            while True:               try:                   do, args = self.work_queue.get (Block=false) #任务异步出队, a synchronization mechanism is implemented within the queue                    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       url =  ' http://www.baidu.com '      page = urllib2.urlopen (URL)     soup = beautifulsoup (Page.read (),   "Html.parser")     print soup.title.string,list (args),args[0]      #print  agrs     #print  threading.current_thread (),  list (args)       if __name__ ==  ' __main__ ':       start  = time.time ()        ' Start '     work_manager  =  workmanager (100, 2)       work_manager.wait_allcomplete ()        end = time.time ()       print  "cost  all time: %s " %  (End-start)

Python multithreaded operations