如何在python多处理池中使用关键字参数apply_async [英] how do I use key word arguments with python multiprocessing pool apply_async

问题描述

我正在尝试使用pythons多处理模块，特别是Pool的apply_async方法.我正在尝试使用自变量和关键字自变量调用函数.如果我不使用kwargs调用该函数就可以了，但是当我尝试添加关键字参数时，我得到: TypeError: apply_async() got an unexpected keyword argument 'arg2' 下面是我正在运行的测试代码

I'm trying to get to grips with pythons multiprocessing module, specifically the apply_async method of Pool. I'm trying to call a function with arguments and keyword arguments. If I call the function without kwargs it's fine but when I try to add in a keyword argument I get: TypeError: apply_async() got an unexpected keyword argument 'arg2' Below is the test code that I'm running

#!/usr/bin/env python
import multiprocessing
from time import sleep
def test(arg1, arg2=1, arg3=2):
    sleep(5)

if __name__ == '__main__':
    pool = multiprocessing.Pool()
    for t in range(1000):
        pool.apply_async(test, t, arg2=5)
    pool.close()
    pool.join()

如何调用该函数以使其接受关键​​字参数?

How can I call the function so that it accepts keyword arguments?

推荐答案

在字典中传递关键字args(在元组中传递位置参数):

Pass the keyword args in a dictionary (and the positional arguments in a tuple):

pool.apply_async(test, (t,), dict(arg2=5))

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