如何在python中使用threading和queue库实现多线程-创新互联
本篇文章给大家分享的是有关如何在python中使用threading和queue库实现多线程,小编觉得挺实用的,因此分享给大家学习,希望大家阅读完这篇文章后可以有所收获,话不多说,跟着小编一起来看看吧。
创新互联服务项目包括湘西土家族网站建设、湘西土家族网站制作、湘西土家族网页制作以及湘西土家族网络营销策划等。多年来,我们专注于互联网行业,利用自身积累的技术优势、行业经验、深度合作伙伴关系等,向广大中小型企业、政府机构等提供互联网行业的解决方案,湘西土家族网站推广取得了明显的社会效益与经济效益。目前,我们服务的客户以成都为中心已经辐射到湘西土家族省份的部分城市,未来相信会继续扩大服务区域并继续获得客户的支持与信任!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 :/tupian/20230522/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 :/tupian/20230522/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
以上就是如何在python中使用threading和queue库实现多线程,小编相信有部分知识点可能是我们日常工作会见到或用到的。希望你能通过这篇文章学到更多知识。更多详情敬请关注创新互联行业资讯频道。
网站标题:如何在python中使用threading和queue库实现多线程-创新互联
URL标题:http://pwwzsj.com/article/dcihdg.html