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    python中threading和queue库实现多线程编程

    作者:Cyrus_May 时间:2021-07-27 19:01

    摘要

    本文主要介绍了利用python的 threading和queue库实现多线程编程,并封装为一个类,方便读者嵌入自己的业务逻辑。最后以机器学习的一个超参数选择为例进行演示。

    多线程实现逻辑封装

    实例化该类后,在.object_func函数中加入自己的业务逻辑,再调用.run方法即可。

    # -*- coding: utf-8 -*-
    # @Time : 2021/2/4 14:36
    # @Author : CyrusMay WJ
    # @FileName: run.py
    # @Software: PyCharm
    # @Blog :https://blog.csdn.net/Cyrus_May
    import queue
    import threading
    
    class CyrusThread(object):
      def __init__(self,num_thread = 10,logger=None):
        """
        
        :param num_thread: 线程数
        :param logger: 日志对象
        """
        self.num_thread = num_thread
        self.logger = logger
    
      def object_func(self,args_queue,max_q):
        while 1:
          try:
            arg = args_queue.get_nowait()
            step = args_queue.qsize()
            self.logger.info("progress:{}\{}".format(max_q,step))
          except:
            self.logger.info("no more arg for args_queue!")
            break
            
            
            """
            此处加入自己的业务逻辑代码
            """
            
            
      def run(self,args):
        args_queue = queue.Queue()
        for value in args:
          args_queue.put(value)
        threads = []
        for i in range(self.num_thread):
          threads.append(threading.Thread(target=self.object_func,args = args_queue))
        for t in threads:
          t.start()
        for t in threads:
          t.join()

    模型参数选择实例

    # -*- coding: utf-8 -*-
    # @Time : 2021/2/4 14:36
    # @Author : CyrusMay WJ
    # @FileName: run.py
    # @Software: PyCharm
    # @Blog :https://blog.csdn.net/Cyrus_May
    import queue
    import threading
    import numpy as np
    from sklearn.datasets import load_boston
    from sklearn.svm import SVR
    import logging
    import sys
    
    
    class CyrusThread(object):
      def __init__(self,num_thread = 10,logger=None):
        """
    
        :param num_thread: 线程数
        :param logger: 日志对象
        """
        self.num_thread = num_thread
        self.logger = logger
    
      def object_func(self,args_queue,max_q):
        while 1:
          try:
            arg = args_queue.get_nowait()
            step = args_queue.qsize()
            self.logger.info("progress:{}\{}".format(max_q,max_q-step))
          except:
            self.logger.info("no more arg for args_queue!")
            break
          # 业务代码
          C, epsilon, gamma = arg[0], arg[1], arg[2]
          svr_model = SVR(C=C, epsilon=epsilon, gamma=gamma)
          x, y = load_boston()["data"], load_boston()["target"]
          svr_model.fit(x, y)
          self.logger.info("score:{}".format(svr_model.score(x,y)))
    
    
      def run(self,args):
        args_queue = queue.Queue()
        max_q = 0
        for value in args:
          args_queue.put(value)
          max_q += 1
        threads = []
        for i in range(self.num_thread):
          threads.append(threading.Thread(target=self.object_func,args = (args_queue,max_q)))
        for t in threads:
          t.start()
        for t in threads:
          t.join()
    
    # 创建日志对象
    logger = logging.getLogger()
    logger.setLevel(logging.INFO)
    screen_handler = logging.StreamHandler(sys.stdout)
    screen_handler.setLevel(logging.INFO)
    formatter = logging.Formatter('%(asctime)s - %(module)s.%(funcName)s:%(lineno)d - %(levelname)s - %(message)s')
    screen_handler.setFormatter(formatter)
    logger.addHandler(screen_handler)
    
    # 创建需要调整参数的集合
    args = []
    for C in [i for i in np.arange(0.01,1,0.01)]:
      for epsilon in [i for i in np.arange(0.001,1,0.01)] + [i for i in range(1,10,1)]:
        for gamma in [i for i in np.arange(0.001,1,0.01)] + [i for i in range(1,10,1)]:
          args.append([C,epsilon,gamma])
    
    # 创建多线程工具
    threading_tool = CyrusThread(num_thread=20,logger=logger)
    threading_tool.run(args)

    运行结果

    2021-02-04 20:52:22,824 - run.object_func:31 - INFO - progress:1176219\1
    2021-02-04 20:52:22,824 - run.object_func:31 - INFO - progress:1176219\2
    2021-02-04 20:52:22,826 - run.object_func:31 - INFO - progress:1176219\3
    2021-02-04 20:52:22,833 - run.object_func:31 - INFO - progress:1176219\4
    2021-02-04 20:52:22,837 - run.object_func:31 - INFO - progress:1176219\5
    2021-02-04 20:52:22,838 - run.object_func:31 - INFO - progress:1176219\6
    2021-02-04 20:52:22,841 - run.object_func:31 - INFO - progress:1176219\7
    2021-02-04 20:52:22,862 - run.object_func:31 - INFO - progress:1176219\8
    2021-02-04 20:52:22,873 - run.object_func:31 - INFO - progress:1176219\9
    2021-02-04 20:52:22,884 - run.object_func:31 - INFO - progress:1176219\10
    2021-02-04 20:52:22,885 - run.object_func:31 - INFO - progress:1176219\11
    2021-02-04 20:52:22,897 - run.object_func:31 - INFO - progress:1176219\12
    2021-02-04 20:52:22,900 - run.object_func:31 - INFO - progress:1176219\13
    2021-02-04 20:52:22,904 - run.object_func:31 - INFO - progress:1176219\14
    2021-02-04 20:52:22,912 - run.object_func:31 - INFO - progress:1176219\15
    2021-02-04 20:52:22,920 - run.object_func:31 - INFO - progress:1176219\16
    2021-02-04 20:52:22,920 - run.object_func:39 - INFO - score:-0.01674283914287855
    2021-02-04 20:52:22,929 - run.object_func:31 - INFO - progress:1176219\17
    2021-02-04 20:52:22,932 - run.object_func:39 - INFO - score:-0.007992354170952565
    2021-02-04 20:52:22,932 - run.object_func:31 - INFO - progress:1176219\18
    2021-02-04 20:52:22,945 - run.object_func:31 - INFO - progress:1176219\19
    2021-02-04 20:52:22,954 - run.object_func:31 - INFO - progress:1176219\20
    2021-02-04 20:52:22,978 - run.object_func:31 - INFO - progress:1176219\21
    2021-02-04 20:52:22,984 - run.object_func:39 - INFO - score:-0.018769934807246536
    2021-02-04 20:52:22,985 - run.object_func:31 - INFO - progress:1176219\22

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