Python管道通信和condition
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#练习:管道练习,双工,单工,将受到的消息保存到文件中 import multiprocessing as mp from multiprocessing import Process,Lock def write_file(content,lock,file_path="e:\\test40.txt"): lock.acquire() with open(file_path,"a+")as f1: f1.write(content+"\n") lock.release() def proc_1(pipe,lock): pipe.send("hello") write_file("hello",lock) print ‘proc_1 received: %s‘ %pipe.recv() pipe.send("what is your name?") write_file("what is your name?",lock) print ‘proc_1 received: %s‘ %pipe.recv() def proc_2(pipe,lock): print ‘proc_2 received: %s‘ %pipe.recv() pipe.send("hello,too") write_file(‘hello, too‘,lock) print ‘proc_2 received: %s‘ %pipe.recv() pipe.send("I don‘t tell you!") write_file("I don‘t tell you!",lock) if __name__=="__main__": lock=Lock() # 创建一个管道对象pipe pipe=mp.Pipe() print len(pipe) #元组类型 print type(pipe) # 将第一个pipe对象传给进程1 p1=mp.Process(target=proc_1,args=(pipe[0],lock)) # 将第二个pipe对象传给进程2 p2=mp.Process(target=proc_2,args=(pipe[1],lock)) #这里按理说应该是收的先启起来,但这个例子里p1和p2哪个先启起来没关系 p2.start() p1.start() p2.join() p1.join() #练习:condition,notify_all通知所有,这个例子里,有可能出现消费者收到消息较快,比生产者消息先打印出来 的情况,如果使用notify(),就需要有几个进程就写几个notify() import multiprocessing as mp import threading import time def consumer(cond): with cond: print("consumer before wait") #等待消费 cond.wait() print("consumer after wait") def producer(cond): with cond: print("producer before notifyAll") # 通知消费者可以消费了 cond.notify_all() print("producer after notifyAll") if __name__=="__main__": condition=mp.Condition() p1=mp.Process(name="p1",target=consumer,args=(condition,)) p2=mp.Process(name="p2",target=consumer,args=(condition,)) p3=mp.Process(name="p3",target=producer,args=(condition,)) p1.start() time.sleep(2) p2.start() time.sleep(2) p3.start()
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