multithreading

问题 I have problem with handling threads in my application. It creates JFrame and starts a new Thread. Last one will execute external application and update GUI. Then I have problem to make Main class to wait for second thread to finish, but also to update GUI simultaneously. Here's my example (shortened): class Main { public int status; public Main() { // Creating GUI etc. SwingUtilities.invokeLater(new Runnable() { public void run() { JDialog id = new JDialog(); id.button.addMouseListener(new

问题 I've been reading Head First for multithreading. What I know about multithreading is: When we call start() with an object of Thread class that thread goes to the Runnable state. So all the threads go to Runnable state after calling start() by object of those threads. It is JVM thread scheduler , who picks thread randomly from Runnable state to give it in Running state. After going to Running state, the determined call stack for that specific thread becomes executed. Again, JVM thread

问题 I have a general struct with settings and an extra variable setting that I want to tune and play around with. For all possible values in an integer range, I want to start a (scoped) thread with this variable set to that value. Depending on this value, they do slightly different work. Each of these threads should be able to read the general settings struct. use crossbeam; // 0.7.3 struct Settings { // ... many fields } const MAX_FEASIBLE_SCORE: u8 = 10; fn example(settings: Settings) {

问题 I have a general struct with settings and an extra variable setting that I want to tune and play around with. For all possible values in an integer range, I want to start a (scoped) thread with this variable set to that value. Depending on this value, they do slightly different work. Each of these threads should be able to read the general settings struct. use crossbeam; // 0.7.3 struct Settings { // ... many fields } const MAX_FEASIBLE_SCORE: u8 = 10; fn example(settings: Settings) {

问题 I'm new to thread in python, i have a question that, supposed i start 3 threads like below, each one takes care of 1 different task: def start( taskName, delay): // do somthing with each taskName # Create two threads as follows try: thread.start_new_thread( start, ("task1", ) ) thread.start_new_thread( start, ("task2", ) ) thread.start_new_thread( start, ("task3", ) ) except: print "Error: unable to start thread" Supposed that for each "start", it takes around 10-15 seconds to finish

问题 I've got an application that does a lot of communication between threads by having one thread set a volatile variable on some object which another thread checks. I find this to be very error prone, and I want to try and replace it using RxJava bu there are some cases I can't figure out how to convert. The case I'm struggling with right now is where I have two threads, lets call one the controller and the other the measurer. The measurer's job is to record some quantity every 100ms. The

问题 A lot of examples (even from MS) use a dispatcher to update data-bound properties and a bunch of different answers could be found. Does an 'official' statement exist? Currently, I always use a dispatcher and I would only change this if I can be sure that this is an official feature and it will still work on future .Net versions. 回答1: I don't believe an official statement exists. However, it generally seems to depend on the type of update that you're doing. If you're updating a normal property

问题 Typical use for AsyncTask: I want to run a task in another thread and after that task is done, I want to perform some operation in my UI thread, namely hiding a progress bar. The task is to be started in TextureView.SurfaceTextureListener.onSurfaceTextureAvailable and after it finished I want to hide the progress bar. Doing this synchronously does not work because it would block the thread building the UI, leaving the screen black, not even showing the progress bar I want to hide afterwards.

问题 It is fairly easy to do parallel work with Python 3's concurrent.futures module as shown below. with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: future_to = {executor.submit(do_work, input, 60): input for input in dictionary} for future in concurrent.futures.as_completed(future_to): data = future.result() It is also very handy to insert and retrieve items into a Queue. q = queue.Queue() for task in tasks: q.put(task) while not q.empty(): q.get() I have a script running

问题 It is fairly easy to do parallel work with Python 3's concurrent.futures module as shown below. with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: future_to = {executor.submit(do_work, input, 60): input for input in dictionary} for future in concurrent.futures.as_completed(future_to): data = future.result() It is also very handy to insert and retrieve items into a Queue. q = queue.Queue() for task in tasks: q.put(task) while not q.empty(): q.get() I have a script running