queue

As the title implies I have a deadlock and no idea why. I have multiple producers and only one consumer. The schedule_task method will get called by multiple processes after the thread has called the get method of the queue from logging import getLogger from time import sleep from threading import Event, Thread from multiprocessing import Process from Queue import Queue class TaskExecutor(object): def __init__(self): print("init taskExecutor") self.event = Event() self.taskInfos = Queue() task_thread = Thread(target=self._run_worker_thread) self._instantEnd = False self._running = True task

assumend I have a (filled) list std::list<std::pair<int,otherobject>> myList; and want to find() the first element within this list, where int has a specific value - how can I do that? To explain it a bit further: I want to append these pairs to the list with an int that identifies otherobject but is not unique. The order where these int/otherobject pairs arrive has to be kept. When an int is found during access to elements of this list the first occurence of that int has to be given back (and removed). Thanks! I think I'd use the standard find_if algorithm: auto pos = std::find_if(myList

I'm implementing a queue using a circular array , and I'm kind of stuck in the resize() method implementation (when the array is full). Inside the enqueue() method I check if the size of the array equals it's length, and get if it's full. Now, instead of throwing an exception, I'm trying to resize the array. The thing is, I have two cases to consider front <= rear rear < front Which is the best way to copy the elements of the old array into the new, larger one? I thought it using a for-loop, like: newArray = new Array[oldArray.length*2]; if (front <= rear) { for (int i = front; i < rear; i++)

I'm working on a logo detection algorithm using the Faster-RCNN model with the Tensorflow object detection api. My dataset is alphabetically ordered (so there are a hundred adidas logo, then hundred apple logo etc.). And i would like it to be shuffled while training. I've put some values in the config file: train_input_reader:{ shuffle: true queue_capacity: some value min_after_dequeue : some other value} However whatever are the values, I'm putting in, algorithm is at first training on all of the a's logos (adidas, apple and so on) and only a lapse of time after starting to see the b's logos

I have written a class called QueueManager: class QueueManager { Queue functionsQueue; public bool IsEmpty { get { if (functionsQueue.Count == 0) return true; else return false; } } public QueueManager() { functionsQueue = new Queue(); } public bool Contains(Action action) { if (functionsQueue.Contains(action)) return true; else return false; } public Action Pop() { return functionsQueue.Dequeue() as Action; } public void Add(Action function) { functionsQueue.Enqueue(function); } public void Add(Func<CacheObject,Boolean> function) { functionsQueue.Enqueue(function); } and when I create an

I have an event that is fired when I receive certain notifications. I want to Queue the event so that they aren't all fired at the same time but are Queued up as I receive them and then fired after the previous event completes. I want to know the best way to do this. Edit: Just for anyone in the future, setting up the database Queue driver is very straightforward and simple. You run the php artisan queue:table and change the driver to 'database'. My problem was that my app wasn't recognizing my QUEUE_DRIVER setting in my .env file for some reason. Laravel 5 has it's own way of dealing with