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Python中的异步方法调用？

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问题：Python中的异步方法调用？
回答 0

问题：Python中的异步方法调用？

我想知道Python中是否有任何用于异步方法调用的库。如果您可以做这样的事情会很棒

@async
def longComputation():
    <code>


token = longComputation()
token.registerCallback(callback_function)
# alternative, polling
while not token.finished():
    doSomethingElse()
    if token.finished():
        result = token.result()

或异步调用非异步例程

def longComputation()
    <code>

token = asynccall(longComputation())

在语言核心中拥有更完善的策略，这将是很棒的。是否考虑过？

点击查看英文原文

I was wondering if there’s any library for asynchronous method calls in Python. It would be great if you could do something like

@async
def longComputation():
    <code>


token = longComputation()
token.registerCallback(callback_function)
# alternative, polling
while not token.finished():
    doSomethingElse()
    if token.finished():
        result = token.result()

Or to call a non-async routine asynchronously

def longComputation()
    <code>

token = asynccall(longComputation())

It would be great to have a more refined strategy as native in the language core. Was this considered?

回答 0

您可以使用Python 2.6中添加的多处理模块。您可以使用进程池，然后通过以下方式异步获取结果：

apply_async(func[, args[, kwds[, callback]]])

例如：

from multiprocessing import Pool

def f(x):
    return x*x

if __name__ == '__main__':
    pool = Pool(processes=1)              # Start a worker processes.
    result = pool.apply_async(f, [10], callback) # Evaluate "f(10)" asynchronously calling callback when finished.

这只是一种选择。该模块提供了许多工具来实现您想要的。同样，用这种方法制作装饰器真的很容易。

点击查看英文原文

You can use the multiprocessing module added in Python 2.6. You can use pools of processes and then get results asynchronously with: 

apply_async(func[, args[, kwds[, callback]]])

E.g.:

from multiprocessing import Pool

def f(x):
    return x*x

if __name__ == '__main__':
    pool = Pool(processes=1)              # Start a worker processes.
    result = pool.apply_async(f, [10], callback) # Evaluate "f(10)" asynchronously calling callback when finished.

This is only one alternative. This module provides lots of facilities to achieve what you want. Also it will be really easy to make a decorator from this.