![]() Threading.Thread(target=wrapper_targetFunc,Īrgs=(targetFunction, q, otherarg)). Once the queue is full, you won’t be able to add an item to it. To create a queue with a size limit, you can use the maxsize parameter. If you're insistent about using a function, I'd suggest wrapping your targetFunction with something that knows how to get from the queue. Introduction to the Python thread-safe queue Creating a new queue. Q.join() # blocks until the queue is empty. Python Multithreading Concepts: Threading Module, Priority Queue and Synchronizing Threads Thread Identifier is used to create a unique id for every new thread. # do whatever work you have to do on work import threading from queue import Queue printlock threading.Lock () def job (worker): with printlock: with open messages. ![]() Work = self.q.get(timeout=3) # 3s timeout import threadingĭef _init_(self, q, other_arg, *args, **kwargs): The Producer thread is responsible for putting items into the queue if it is not full while the Consumer thread consumes items if there are any. I find this easier to read by subclassing Thread, however. ![]() The simple way to do this is with a queue.Queue for the work and starting the threads with for _ in range(MAXTHREADS): threading.Thread(target=f, args=(the_queue,)).start(). import functools import queue import threading functools.totalordering class Job: def init(self, priority, description): self.priority priority. ![]()
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