Python 多线程生产者消费者模型

最新推荐文章于 2024-05-05 16:34:34 发布

power0405hf

最新推荐文章于 2024-05-05 16:34:34 发布

阅读量677

点赞数

CC 4.0 BY-SA版权

分类专栏： python 文章标签： python 多线程

本文链接：https://blog.youkuaiyun.com/power0405hf/article/details/51417056

python 专栏收录该内容

58 篇文章

订阅专栏

本文介绍了一个使用Python多线程与队列实现的生产者消费者模型案例。通过自定义线程类MyThread和队列操作函数，实现了数据的生产和消费过程。此模型能够帮助理解并发编程中线程间的数据传递机制。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

my_thread.py

import threading
from time import ctime
class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args

    def get_result(self):
        return self.res

    def run(self):
        print 'starting ', self.name, ' at:',ctime()
        self.res = apply(self.func, self.args)
        print self.name ,'finished at:' ctime()

queue.py:

from random import randint
from time import sleep
from Queue import Queue
from my_thread import MyThread

def write_q(queue):
    print 'producting object for Q...'
    queue.put('xxx',1)
    print 'size now: ',queue.qsize()

def read_q(queue):
    val = queue.get(1)
    print 'consumed object from Q... size now', queue.qsize()

def writer(queue, loops):
    for i in range(loops):
        write_q(queue)
        sleep(randint(1,3))

def reader(queue,loops):
    for i in range(loops):
        read_q(queue)
        sleep(randint(2,5))

funcs = [writer, reader]
nfuncs = range(len(funcs))

def main():
    nloops = randint(2,5)
    q = Queue(32)
    threads = []
    for i in nfuncs:
        t = my_thread.MyThread(funcs[i],(q,nloops),funcs[i].__name__)
        threads.append(t)
    for i in nfuncs:
        threads.start(i)

    for i in nfuncs:
        threads.join()

    print 'all done'