queue

问题 I want a screen-element (whose ID is #sign1 ) to move in a sinusoidal wave. For this I need successive UP-and-DOWN 'wobbles', all while it is simultaneously moving RIGHT. But I don't really understand queues , which are so necessary for successive animations. I can do 2 simultaneous animations, . . . e.g. moving UP and RIGHT at the same time, by putting queue: false on both, and I can do 2 successive animations, . . . e.g. moving UP, then later DOWN, by chaining .delay(1000).queue(function(n)

问题 All, I have a mathod called TaskSpin that runs the passed method on a background thread using TPL. public TaskSpin(Func asyncMethod, object[] methodParameters) { ... asyncTask = Task.Factory.StartNew<bool>(() => asyncMethod(uiScheduler, methodParameters)); asyncTask.ContinueWith(task => { ... // Finish the processing update UI etc. ... if (isStacked && task.Status == TaskStatus.RanToCompletion) ProcessNextTask(dataGridViewSite); } ... } This routine is well established to fire off one method

问题 I'm having a few issues crop up when using processes and queues. When I run the following code the target function simply gets an item from a master queue and adds it to another queue specific to that process. import sys import multiprocessing from Queue import Empty # This is just taking a number from the queue # and adding it to another queue def my_callable(from_queue, to_queue): while True: try: tmp = from_queue.get(0) to_queue.put(tmp) print to_queue except Empty: break # Create a master

问题 This is never print: "Exception in threadfuncqueue handled by threadfuncqueue", "Exception in threadfuncqueue handled by main thread" and "thread test with queue passed". Never quitting! from threading import Thread from Queue import Queue import time class ImRaiseError(): def __init__(self): time.sleep(1) raise Exception(self.__class__.__name__) # place for paste worked code example from below print "begin thread test with queue" def threadfuncqueue(q): print "\n"+str(q.get()) while not q

问题 I created an Azure Function App to send emails (uses service bus topics), and I have it working beautifully locally using their SDK/CLI tools, but when I publish it to Azure using the Visual Studio Publish options available, the function doesn't appear to run, there is no error, and the monitor shows "No Data Available". The only thing I can possibly think of is that perhaps the local.settings.json file which allows me to run the app locally needs to be manually entered some place into the

问题 Three questions: I was told the gs-collections library contains queue implementations but I can't find them in http://www.goldmansachs.com/gs-collections/javadoc/5.1.0/. do they exist? if so, which classes should I look at? Likewise for a sorted heap class (Not so much of a question) Does anyone have any experience with the gs-collections library? It's totally new to me, so if you have any experience and advice regarding which tasks it's particular good at please share Thanks in advance 回答1:

问题 I would like to parallelise a linear operation (fitting a complicated mathematical function to some dataset) with multiple processors. Assume I have 8 cores in my machine, and I want to fit 1000 datasets. What I expect is some system that takes the 1000 datasets as a queue, and sends them to the 8 cores for processing, so it starts by taking the first 8 from the 1000 as FIFO. The fitting times of each dataset is in general different than the other, so some of the 8 datasets being fitted could

问题 My code: while( Memo.qRcv.size() > 0) { MessageReceived msg=Memo.qRcv.poll(); ... } Then I got 2014-03-01 11:09:36 DEBUG [Thread-16] (threadQueueSendtoUser.java:163) - Memo.qRcv = null, size = 41590 回答1: I found solution by using ConcurrentLinkedQueue http://www.javacodex.com/Concurrency/ConcurrentLinkedQueue-Example Problem here is I used 2 thread to process a Queue, should not use normal queue. I will feedback if any problem Thank you all 来源： https://stackoverflow.com/questions/22112580

问题 I am working on an object that contains an array of queues with an array length that isn't decided until the constructor is called. Basically it looks something like the following #include <queue> class myClass{ public: //public functions private: //private functions and variables queue<int>* myQueue; }; it is initialized like so: myClass::myClass(int numOfQueues){ myQueue = new queue<int>[numOfQueues]; } This all works beautifully, it seems. it functions exactly like I was hoping it would,

问题 import multiprocessing.queues as queues import multiprocessing class I(queues.Queue): def __init__(self, maxsize=0): super(I, self).__init__(maxsize) self.length = 0 def __iter__(self): return self def put(self, obj, block=True, timeout=None): super(I, self).put(obj,block,timeout) self.length += 1 def get(self, block = True, timeout = None): self.length -= 1 return super(I, self).get(block, timeout) def __len__(self): return self.length def next(self): item = self.get() if item == 'Done':