将套接字流重定向到标准输入或输出流
#!/usr/bin/env python3 """ 测试socket-stream 重定向模式 """ import sys,os,time from multiprocessing import Process from socket import * def initListenerSocket(port=50008,host=''): """ 初始化在服务器模式下调用者用于监听连接的套接字 """ sock=socket() try: sock.bind((host,port)) except OSError as e: print('Address already in use') os._exit(1) sock.listen(5) conn,addr=sock.accept() return conn def redirecOut(port=50008,host='localhost'): """ 在接受之前其他连接都失败,连接调用者标准输出流 到一个套接字,这个套接字用于gui监听,在收听者启动后,启动调用者 """ sock=socket() try: sock.connect((host,port)) except ConnectionRefusedError as e: print('connection refuse') os._exit(1) file=sock.makefile('w') sys.stdout=file return sock def redirecIn(port=50008,host='localhost'): """ 连接调用者标准输入流到用于gui来提供的套接字 """ sock=socket() try: sock.connect((host,port)) except ConnectionRefusedError as e: print('conenction refuse') os._exit(1) file=sock.makefile('r') sys.stdin=file return sock def redirecBothAsClient(port=50008,host='localhost'): """ 在这种模式下,连接调用者标准输入和输出流到相同的套接字 调用者对于服务器来说就是客户端:发送消息,接受响应答复 """ sock=socket() try: sock.connect((host,port)) except ConnectionRefusedError as e: print('connection refuse') os._exit(1) ofile=sock.makefile('w') ifile=sock.makefile('r') sys.stdout=ofile sys.stdin=ifile return sock def redirecBothAsServer(port=50008,host='localhost'): """ 在这种模式下,连接调用者标准输入和输出流到相同的套接字,调用者对于 服务器来说就是服务端:接受消息,发送响应答复 """ sock=socket() try: sock.bind((host,port)) except OSError as e: print('Address already in use') os._exit(1) sock.listen(5) conn,addr=sock.accept() ofile=conn.makefile('w') ifile=conn.makefile('r') sys.stdout=ofile sys.stdin=ifile return conn def server1(): mypid=os.getpid() conn=initListenerSocket() file=conn.makefile('r') for i in range(3): data=file.readline().rstrip() print('server %s got [%s]' %(mypid,data)) def client1(): time.sleep(1) mypid=os.getpid() redirecOut() for i in range(3): print('client: %s:%s' % (mypid,i)) sys.stdout.flush() def server2(): mypid=os.getpid() conn=initListenerSocket() for i in range(3): conn.send(('server %s got [%s]\n' %(mypid,i)).encode()) def client2(): time.sleep(1) mypid=os.getpid() redirecIn() for i in range(3): data=input() print('client %s got [%s]]'%(mypid,data)) def server3(): mypid=os.getpid() conn=initListenerSocket() file=conn.makefile('r') for i in range(3): data=file.readline().rstrip() conn.send(('server %s got [%s]\n' % (mypid,data)).encode()) def client3(): time.sleep(1) mypid=os.getpid() redirecBothAsClient() for i in range(3): print('Client %s: %s' %(mypid,data)) data=input() sys.stderr.write('client %s got [%s]\n' %(mypid,data)) def server4(port=50008,host='localhost'): mypid=os.getpid() sock=socket() try: sock.connect((host,port)) ConnectionRefusedError as e: print('connection refuse') os._exit(1) file=sock.makefile('r') for i in range(3): sock.send(('server %s: %S\n' %(mypid,i)).encode()) data=file.readline().rstrip() print('server %s got [%s]' %(mypid,data)) def client4(): time.sleep(1) mypid=os.getpid() redirecBothAsServer() for i in range(3): data=input() print('client %s got [%s]'%(mypid,data)) sys.stdout.flush() def server5(): mypid=os.getpid() conn=initListenerSocket() file=conn.makefile('r') for i in range(3): conn.send(('server %s:%s\n' %(mypid,i)).encode()) data=file.readline().rstrip() print('server %s got [%s]' % (mypid,data)) def client5(): mypid=os.getpid() s=redirecBothAsClient() for i in range(3): data=input() print('client %s got [%s]'%(mypid,data)) sys.stdout.flush() def main(): server=eval('server'+sys.argv[1]) client=eval('client'+sys.argv[1]) Process(target=server).start() client() if __name__=='__main__': main()

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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