Python 2.6 通过队列/管道/等发送连接对象

发布于 2024-08-04 17:27:36 字数 620 浏览 9 评论 0原文

鉴于 此错误(Python 问题 4892) 会导致以下错误:

>>> import multiprocessing
>>> multiprocessing.allow_connection_pickling()
>>> q = multiprocessing.Queue()
>>> p = multiprocessing.Pipe()
>>> q.put(p)
>>> q.get()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File     "/.../python2.6/multiprocessing/queues.py", line 91, in get
    res = self._recv()
TypeError: Required argument 'handle' (pos 1) not found

有谁知道解决方法在队列上传递连接对象?

谢谢。

Given this bug (Python Issue 4892) that gives rise to the following error:

>>> import multiprocessing
>>> multiprocessing.allow_connection_pickling()
>>> q = multiprocessing.Queue()
>>> p = multiprocessing.Pipe()
>>> q.put(p)
>>> q.get()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File     "/.../python2.6/multiprocessing/queues.py", line 91, in get
    res = self._recv()
TypeError: Required argument 'handle' (pos 1) not found

Does anyone know of a workaround to pass a Connection object on a Queue?

Thank you.

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も让我眼熟你 2024-08-11 17:27:36

(我相信的是)在发现这篇文章之前,经过一番尝试(我遇到了同样的问题。想要通过管道穿过管道。)这是一个更好的方法:

>>> from multiprocessing import Pipe, reduction
>>> i, o = Pipe()
>>> reduced = reduction.reduce_connection(i)
>>> newi = reduced[0](*reduced[1])
>>> newi.send("hi")
>>> o.recv()
'hi'

我不完全确定为什么要这样构建(有人需要深入了解多处理的减少部分到底是什么),但它确实有效,并且不需要 pickle 导入。除此之外,它的功能与上面的非常接近,但更简单。我还将其放入 python 错误报告中,以便其他人知道解决方法。

(What I believe is) A better method, after some playing around (I was having the same problem. Wanted to pass a pipe through a pipe.) before discovering this post:

>>> from multiprocessing import Pipe, reduction
>>> i, o = Pipe()
>>> reduced = reduction.reduce_connection(i)
>>> newi = reduced[0](*reduced[1])
>>> newi.send("hi")
>>> o.recv()
'hi'

I'm not entirely sure why this is built this way (someone would need insight into what the heck the reduction part of multiprocessing is about for that) but it does definitely work, and requires no pickle import. Other than that, it's pretty close to the above in what it does, but simpler. I also threw this into the python bug report so others know of the workaround.

七度光 2024-08-11 17:27:36

这大致是我所做的:

# Producer
from multiprocessing.reduction import reduce_connection
from multiprocessing import Pipe

   # Producer and Consumer share the Queue we call queue
def handle(queue):
   reader, writer = Pipe()
   pickled_writer = pickle.dumps(reduce_connection(writer))
   queue.put(pickled_writer)

最后

# Consumer
from multiprocessing.reduction import rebuild_connection

def wait_for_request():
    pickled_write = queue.get(block=True) # block=True isn't necessary, of course
    upw = pickle.loads(pickled_writer) # unpickled writer
    writer = upw[0](upw[1][0],upw[1][1],upw[1][2])

一行是神秘的,来自以下内容:

>>> upw
(<function rebuild_connection at 0x1005df140>,
(('/var/folders/.../pymp-VhT3wX/listener-FKMB0W',
17, False), True, True))

希望对其他人有帮助。它对我来说效果很好。

Here's roughly what I did:

# Producer
from multiprocessing.reduction import reduce_connection
from multiprocessing import Pipe

   # Producer and Consumer share the Queue we call queue
def handle(queue):
   reader, writer = Pipe()
   pickled_writer = pickle.dumps(reduce_connection(writer))
   queue.put(pickled_writer)

and

# Consumer
from multiprocessing.reduction import rebuild_connection

def wait_for_request():
    pickled_write = queue.get(block=True) # block=True isn't necessary, of course
    upw = pickle.loads(pickled_writer) # unpickled writer
    writer = upw[0](upw[1][0],upw[1][1],upw[1][2])

The last line is cryptic, coming from the following:

>>> upw
(<function rebuild_connection at 0x1005df140>,
(('/var/folders/.../pymp-VhT3wX/listener-FKMB0W',
17, False), True, True))

Hope that helps someone else. It works fine for me.

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