I´m trying to use a Queue from the multiprocessing.Queue module. The Implementation (https://docs.python.org/3.4/library/multiprocessing.html#exchanging-objects-between-processes) uses
q = Queue()
as an example for instantiation. If i try this, i get the following error:
TypeError: __init__() missing 1 required keyword-only argument: 'ctx'
Googling the problem brought up this:
http://bugs.python.org/issue21367
How do i know if this is fixed? Is it impossible to use multiprocessing.Queues right now? If not, how do i get the needed ctx object (and what is it?)
Passing Keyword Arguments to Multiprocessing Processes We can also pass in arguments corresponding to the parameter name using the kwargs parameter in the Process class. Instead of passing a tuple, we pass a dictionary to kwargs where we specify the argument name and the variable being passed in as that argument.
Queue class. A queue is a data structure on which items can be added by a call to put() and from which items can be retrieved by a call to get(). The multiprocessing. Queue provides a first-in, first-out FIFO queue, which means that the items are retrieved from the queue in the order they were added.
multiprocessing. freeze_support() This function will allow a frozen program to create and start new processes via the multiprocessing. Process class when the program is frozen for distribution on Windows. If the function is called and the program is not frozen for distribution, then it has no effect.
Yes, it is. From https://docs.python.org/3/library/multiprocessing.html#exchanging-objects-between-processes: Queues are thread and process safe.
It sounds like you're not importing Queue
directly from multiprocessing
. When contexts were introduced, most of the objects you import from the multiprocessing
top-level package became functions which internally get a context, then pass that to an underlying class initializer, rather than being classes themselves. For example, here is what multiprocessing.Queue
is now:
def Queue(self, maxsize=0):
'''Returns a queue object'''
from .queues import Queue
return Queue(maxsize, ctx=self.get_context())
If you were to import multiprocessing.queues.Queue
directly and try to instantiate it, you'll get the error you're seeing. But it should work fine if you import it from multiprocessing
directly.
The context object tells multiprocessing
which of the available methods for starting sub-processes is in use. multiprocessing.Queue
uses a multiprocessing.Lock
internally, which has to know the correct context to function properly.
This is how should multiprocessing Queue class be inherited from Python 3.4 and on:
from multiprocessing.queues import Queue
class BlockedQueue(Queue):
def __init__(self, maxsize=-1, block=True, timeout=None):
self.block = block
self.timeout = timeout
super().__init__(maxsize, ctx=multiprocessing.get_context())
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