Python自定义多线程多进程类 Python实现的自定义多线程多进程类示例

#!/usr/bin/env python
  # -*- coding: utf-8 -*-
  # @Time  : 2017/5/10 12:47
  # @Author : zhaowen.zhu
  # @Site  :
  # @File  : MultiThread.py
  # @Software: Python Idle
  import threading,time,sys,multiprocessing
  from multiprocessing import Pool
  class MyTMultithread(threading.Thread):
    '''''
    自定义的线程函数,
    功能:使用多线程运行函数,函数的参数只有一个file,并且未实现结果值的返回
    args:
      filelist  函数的参数为列表格式，
      funname  函数的名字为字符串，函数仅有一个参数为file
      delay   每个线程之间的延迟，
      max_threads 线程的最大值
    '''
    def __init__(self,filelist,delay,funname,max_threads = 50):
      threading.Thread.__init__(self)
      self.funname = funname
      self.filelist = filelist[:]
      self.delay = delay
      self.max_threads = max_threads
    def startrun(self):
      def runs():
        time.sleep(self.delay)
        while True:
          try:
            file = self.filelist.pop()
          except IndexError as e:
            break
          else:
            self.funname(file)
      threads = []
      while threads or self.filelist:
        for thread in threads:
          if not thread.is_alive():
            threads.remove(thread)
        while len(threads) < self.max_threads and self.filelist:
          thread = threading.Thread(target = runs)
          thread.setDaemon(True)
          thread.start()
          threads.append(thread)
  class Mymultiprocessing (MyTMultithread):
  '''''
  多进程运行函数，多进程多线程运行函数
  args:
    filelist  函数的参数为列表格式，
    funname  函数的名字为字符串，函数仅有一个参数为file
    delay   每个线程\进程之间的延迟，
    max_threads 最大的线程数
    max_multiprocess 最大的进程数
  '''
    def __init__(self,filelist,delay,funname,max_multiprocess = 1,max_threads = 1):
      self.funname = funname
      self.filelist = filelist[:]
      self.delay = delay
      self.max_threads = max_threads
      self.max_multiprocess = max_multiprocess
      self.num_cpus = multiprocessing.cpu_count()
    def multiprocessingOnly(self):
      '''''
    只使用多进程
      '''
      num_process = min(self.num_cpus,self.max_multiprocess)
      processes = []
      while processes or self.filelist:
        for p in processes:
          if not p.is_alive():
            # print(p.pid,p.name,len(self.filelist))
            processes.remove(p)
        while len(processes) < num_process and self.filelist:
          try:
            file = self.filelist.pop()
          except IndexError as e:
            break
          else:
            p = multiprocessing.Process(target=self.funname,args=(file,))
            p.start()
            processes.append(p)
    def multiprocessingThreads(self):
      num_process = min(self.num_cpus,self.max_multiprocess)
      p = Pool(num_process)
      DATALISTS = []
      tempmod = len(self.filelist) % (num_process)
      CD = int((len(self.filelist) + 1 + tempmod)/ (num_process))
      for i in range(num_process):
        if i == num_process:
          DATALISTS.append(self.filelist[i*CD:-1])
        DATALISTS.append(self.filelist[(i*CD):((i+1)*CD)])
      try:
        processes = []
        for i in range(num_process):
          #print('wait add process:',i+1,time.clock())
          #print(eval(self.funname),DATALISTS[i])
          MultThread = MyTMultithread(DATALISTS[i],self.delay,self.funname,self.max_threads)
          p = multiprocessing.Process(target=MultThread.startrun())
          #print('pid & name:',p.pid,p.name)
          processes.append(p)
        for p in processes:
          print('wait join ')
          p.start()
        print('waite over')
      except Exception as e:
        print('error :',e)
      print ('end process')
  def func1(file):
    print(file)
  if __name__ == '__main__':
    a = list(range(0,97))
    '''''
    测试使用5线程
    '''
    st = time.clock()
    asc = MyTMultithread(a,0,'func1',5)
    asc.startrun()
    end = time.clock()
    print('*'*50)
    print('多线程使用时间:',end-st)
    #测试使用5个进程
    st = time.clock()
    asd = Mymultiprocessing(a,0,'func1',5)
    asd.multiprocessingOnly()
    end = time.clock()
    print('*'*50)
    print('多进程使用时间:',end-st)
    #测试使用5进程10线程
    st = time.clock()
    multiPT = Mymultiprocessing(a,0,'func1',5,10)
    multiPT.multiprocessingThreads()
    end = time.clock()
    print('*'*50)
    print('多进程多线程使用时间:',end-st)