基于python生成器封装的协程类
时间:2022-04-02 10:24 作者:admin610456
自从python/' target='_blank'>python2.2提供了yield关键字之后,Python的生成器的很大一部分用途就是可以用来构建协同程序,能够将函数挂起返回中间值并能从上次离开的地方继续执行。python2.5的时候,这种生成器更加接近完全的协程,因为提供了将值和异常传递回到一个继续执行的函数中,当等待生成器的时候,生成器能返回控制。
python提供的生成器设施:
yield:能够将自己挂起,并提供一个返回值给等待方 send:唤起一个被挂起的生成器,并能够传递一个参数,可以在生成器中抛出异常 next:本质上相当于send(None),对每个生成器的第一次调用必须不能传递参数 close:主动退出一个生成器
python封装
虽然python3提供了asyncio这样的异步IO库,而且也有greenlet等其他协程库,但目前的需求并不是实际的网络IO并发操作,而是需要模拟状态机的运行,因此使用协程可以很方便的模拟,并加入认为的控制,下面是封装的一个python类。
class Coroutine(object): """ Base class of the general coroutine object """ STATE_RUNNING = 0 STATE_WAITING = 1 STATE_CLOSING = 2 def __init__(self): self.state = Coroutine.STATE_WAITING self.started = False self.args = None self.routine = self._co() def _co(self): self.ret = None while True: self.args = yield self.ret if not self.started: self.started = True continue else: self.state = Coroutine.STATE_RUNNING self.ret = self.run(self.args) if self.state == Coroutine.STATE_CLOSING: break self.state = Coroutine.STATE_WAITING def start(self): """ Start the generator """ if self.routine is None: raise RuntimeError('NO task to start running!') self.started = True self.routine.next() def finish(self): """ Finish the execution of this routine """ self.state = Coroutine.STATE_CLOSING self.routine.close() def run(self, args): """ The runing method to be executed every once time""" raise NotImplementedError def execute(self, arg_obj): """ Awake this routine to execute once time """ return self.routine.send(arg_obj)
基于上述封装,下面实现了一个协同的生产者消费者示例:
class ProducerCoroutine(Coroutine): """ The Producer concrete coroutine """ def __init__(self, cnsmr): if not isinstance(cnsmr, Coroutine): raise RuntimeError('Consumer is not a Coroutine object') self.consumer = cnsmr self.consumer.start() super(ProducerCoroutine, self).__init__() def run(self, args): print 'produce ', args ret = self.consumer.execute(args) print 'consumer return:', ret def __call__(self, args): """ Custom method for the specific logic """ self.start() while len(args) > 0: p = args.pop() self.execute(p) self.finish()class ConsumerCoroutine(Coroutine): """ The Consumer concrete coroutine """ def __init__(self): super(ConsumerCoroutine, self).__init__() def run(self, args): print 'consumer get args: ', args return 'hahaha' + repr(args)
运行结果如下:
produce 4consumer get args: 4consumer return: hahaha4produce 3consumer get args: 3consumer return: hahaha3produce 2consumer get args: 2consumer return: hahaha2produce 1consumer get args: 1consumer return: hahaha1produce 0consumer get args: 0consumer return: hahaha0
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。
(责任编辑:admin)