While Loop Locks Application

While Loop Locks Application

now that I understand what you want better (a stopwatch) I would recommend the root.after command

from Tkinter import *
import tkMessageBox
import threading
import time
root = Tk()
root.geometry("450x250+300+300")
root.title("Raspberry PI Test")
print dir(root)
count = 0
def start_counter():
    global count
    count = 500
    root.after(1,update_counter)
def update_counter():
    global count
    count -= 1
    if count < 0:
        count_complete()
    else:
        root.after(1,update_counter)

def count_complete():
    print "DONE COUNTING!! ... I am now back in the main thread"
def mymessage():
    tkMessageBox.showinfo(title="Alert", message="Hello World!")

buttonLoop = Button(root, text="Start Loop", command=myloop)
buttonLoop.place(x=5, y=15)

buttonMessage = Button(root, text="Start Loop", command=mymessage)
buttonMessage.place(x=85, y=15)

root.mainloop()

(original answer below)

use a thread

from Tkinter import *
import tkMessageBox
import threading
import time
root = Tk()
root.geometry("450x250+300+300")
root.title("Raspberry PI Test")
print dir(root)
def myloop():
    def run():
        count = 0
        while (count < 500) and root.wm_state():
           print 'The count is:', count
           count = count + 1
           time.sleep(1)

        root.after(1,count_complete)
    thread = threading.Thread(target=run)
    thread.start()
def count_complete():
    print "DONE COUNTING!! ... I am now back in the main thread"
def mymessage():
    tkMessageBox.showinfo(title="Alert", message="Hello World!")

buttonLoop = Button(root, text="Start Loop", command=myloop)
buttonLoop.place(x=5, y=15)

buttonMessage = Button(root, text="Start Loop", command=mymessage)
buttonMessage.place(x=85, y=15)

root.mainloop()

note that when you show the info box that will block at the windows api level so the thread counting will wait till that closes ... to get around that you can just replace threading with multiprocessing I think

lock with while loop on multthread application form c# blocking all threads on single core machine

The problem is, that BackgroundWorker use a thread pool internally which contains usually the same number of threads as you have CPUs/cores on the machine. Therefore on a single-CPU machine you'll have only one thread processing BackgroundWorkers, I guess they are scheduled sequentially so the first one runs both sleep_sec calls, and only after that, the second one starts.

On a multi-core machine on the other hand, you have more threads in the thread pool, therefore it works as you expect it.

You could use either a "normal" Thread (together with Thread.Sleep, dont use a while loop) for the "waiting", since this doesn't require any UI interaction. You could also just use a Timer object, which is meant for exactly this purpose (firing an event after a specified amount of time).

Using lock statement within a loop in C#

Take a step back.

Start by specifying all the desirable and undesirable characteristics before you start to write a solution. A few that come immediately to mind:

• The "work" is done on thread W. The "UI" is done on thread U.
• The work is done in "units of work". Each unit of work is "short" in duration, for some definition of "short". Let's call the method that does the work M().
• The work is done continuously by W, in a loop, until U tells it to stop.
• U calls a cleanup method, D(), when all the work is done.
• D() must not ever run before or while M() is running.
• Exit() must be called after D(), on thread U.
• U must never block for a "long" time; it is acceptable for it to block for a "short" time.
• No deadlocks, and so on.

Does this sum up the problem space?

First off, I note that it seems at first glance that the problem is that U must be the caller of D(). If W were the caller of D(), then you wouldn't have to worry; you'd just signal W to break out of the loop, and then W would call D() after the loop. But that just trades one problem for another; presumably in this scenario, U must wait for W to call D() before U calls Exit(). So moving the call to D() from U to W doesn't actually make the problem easier.

You've said that you don't want to use double-checked locking. You should be aware that as of CLR v2, the double-checked locking pattern is known to be safe. The memory model guarantees were strengthened in v2. So it is probably safe for you to use double-checked locking.

UPDATE: You asked for information on (1) why is double-checked locking safe in v2 but not in v1? and (2) why did I use the weasel-word "probably"?

To understand why double-checked locking is unsafe in the CLR v1 memory model but safe in the CLR v2 memory model, read this:

http://web.archive.org/web/20150326171404/https://msdn.microsoft.com/en-us/magazine/cc163715.aspx

I said "probably" because as Joe Duffy wisely says:

once you venture even slightly outside
of the bounds of the few "blessed"
lock-free practices [...] you are
opening yourself up to the worst kind
of race conditions.

I do not know if you are planning on using double-checked locking correctly, or if you're planning on writing your own clever, broken variation on double-checked locking that in fact dies horribly on IA64 machines. Hence, it will probably work for you, if your problem is actually amenable to double checked locking and you write the code correctly.

If you care about this you should read Joe Duffy's articles:

http://www.bluebytesoftware.com/blog/2006/01/26/BrokenVariantsOnDoublecheckedLocking.aspx

and

http://www.bluebytesoftware.com/blog/2007/02/19/RevisitedBrokenVariantsOnDoubleCheckedLocking.aspx

And this SO question has some good discussion:

The need for volatile modifier in double checked locking in .NET

Probably it is best to find some other mechanism other than double-checked locking.

There is a mechanism for waiting for one thread which is shutting down to complete -- thread.Join. You could join from the UI thread to the worker thread; when the worker thread is shut down, the UI thread wakes up again and does the dispose.

UPDATE: Added some information on Join.

"Join" basically means "thread U tells thread W to shut down, and U goes to sleep until that happens". Brief sketch of the quit method:

// do this in a thread-safe manner of your choosing
running = false; 
// wait for worker thread to come to a halt
workerThread.Join(); 
// Now we know that worker thread is done, so we can 
// clean up and exit
Dispose(); 
Exit();   

Suppose you didn't want to use "Join" for some reason. (Perhaps the worker thread needs to keep running in order to do something else, but you still need to know when it is done using the objects.) We can build our own mechanism that works like Join by using wait handles. What you need now are two locking mechanisms: one that lets U send a signal to W that says "stop running now" and then another that waits while W finishes off the last call to M().

What I would do in this circumstance is:

• make a thread-safe flag "running". Use whatever mechanism you are comfortable with to make it thread safe. I would personally start with a lock dedicated to it; if you decide later that you can go with lock-free interlocked operations on it then you can always do that later.
• make an AutoResetEvent to act as a gate on the dispose.

So, brief sketch:

UI thread, startup logic:

running = true
waithandle = new AutoResetEvent(false)
start up worker thread

UI thread, quit logic:

running = false; // do this in a thread-safe manner of your choosing
waithandle.WaitOne(); 

// WaitOne is robust in the face of race conditions; if the worker thread
// calls Set *before* WaitOne is called, WaitOne will be a no-op.  (However,
// if there are *multiple* threads all trying to "wake up" a gate that is
// waiting on WaitOne, the multiple wakeups will be lost. WaitOne is named
// WaitOne because it WAITS for ONE wakeup. If you need to wait for multiple
// wakeups, don't use WaitOne.

Dispose();
waithandle.Close();
Exit();    

worker thread:

while(running) // make thread-safe access to "running"
    M();
waithandle.Set(); // Tell waiting UI thread it is safe to dispose

Notice that this relies on the fact that M() is short. If M() takes a long time then you can wait a long time to quit the application, which seems bad.

Does that make sense?

Really though, you shouldn't be doing this. If you want to wait for the worker thread to shut down before you dispose an object it is using, just join it.

UPDATE: Some additional questions raised:

is it a good idea to wait without a timeout?

Indeed, note that in my example with Join and my example with WaitOne, I do not use the variants on them that wait for a specific amount of time before giving up. Rather, I call out that my assumption is that the worker thread shuts down cleanly and quickly. Is this the correct thing to do?

It depends! It depends on just how badly the worker thread behaves and what it is doing when it is misbehaving.

If you can guarantee that the work is short in duration, for whatever 'short' means to you, then you don't need a timeout. If you cannot guarantee that, then I would suggest first rewriting the code so that you can guarantee that; life becomes much easier if you know that the code will terminate quickly when you ask it to.

If you cannot, then what's the right thing to do? The assumption of this scenario is that the worker is ill-behaved and does not terminate in a timely manner when asked to. So now we've got to ask ourselves "is the worker slow by design, buggy, or hostile?"

In the first scenario, the worker is simply doing something that takes a long time and for whatever reason, cannot be interrupted. What's the right thing to do here? I have no idea. This is a terrible situation to be in. Presumably the worker is not shutting down quickly because doing so is dangerous or impossible. In that case, what are you going to do when the timeout times out??? You've got something that is dangerous or impossible to shut down, and its not shutting down in a timely manner. Your choices seem to be (1) do nothing, (2) do something dangerous, or (3) do something impossible. Choice three is probably out. Choice one is equivalent to waiting forever, whcih we've already rejected. That leaves "do something dangerous".

Knowing what the right thing to do in order to minimize harm to user data depends upon the exact circumstances that are causing the danger; analyse it carefully, understand all the scenarios, and figure out the right thing to do.

Now suppose the worker is supposed to be able to shut down quickly, but does not because it has a bug. Obviously, if you can, fix the bug. If you cannot fix the bug -- perhaps it is in code you do not own -- then again, you are in a terrible fix. You have to understand what the consequences are of not waiting for already-buggy-and-therefore-unpredictable code to finish before disposing of the resources that you know it is using right now on another thread. And you have to know what the consequences are of terminating an application while a buggy worker thread is still busy doing heaven only knows what to operating system state.

If the code is hostile and is actively resisting being shut down then you have already lost. You cannot halt the thread by normal means, and you cannot even thread abort it. There is no guarantee whatsoever that aborting a hostile thread actually terminates it; the owner of the hostile code that you have foolishly started running in your process could be doing all of its work in a finally block or other constrained region which prevents thread abort exceptions.

The best thing to do is to never get into this situation in the first place; if you have code that you think is hostile, either do not run it at all, or run it in its own process, and terminate the process, not the thread when things go badly.

In short, there's no good answer to the question "what do I do if it takes too long?" You are in a terrible situation if that happens and there is no easy answer. Best to work hard to ensure you don't get into it in the first place; only run cooperative, benign, safe code that always shuts itself down cleanly and rapidly when asked.

What if the worker throws an exception?

OK, so what if it does? Again, better to not be in this situation in the first place; write the worker code so that it does not throw. If you cannot do that, then you have two choices: handle the exception, or don't handle the exception.

Suppose you don't handle the exception. As of I think CLR v2, an unhandled exception in a worker thread shuts down the whole application. The reason being, in the past what would happen is you'd start up a bunch of worker threads, they'd all throw exceptions, and you'd end up with a running application with no worker threads left, doing no work, and not telling the user about it. It is better to force the author of the code to handle the situation where a worker thread goes down due to an exception; doing it the old way effectively hides bugs and makes it easy to write fragile applications.

Suppose you do handle the exception. Now what? Something threw an exception, which is by definition an unexpected error condition. You now have no clue whatsoever that any of your data is consistent or any of your program invariants are maintained in any of your subsystems. So what are you going to do? There's hardly anything safe you can do at this point.

The question is "what is best for the user in this unfortunate situation?" It depends on what the application is doing. It is entirely possible that the best thing to do at this point is to simply aggressively shut down and tell the user that something unexpected failed. That might be better than trying to muddle on and possibly making the situation worse, by, say, accidentally destroying user data while trying to clean up.

Or, it is entirely possible that the best thing to do is to make a good faith effort to preserve the user's data, tidy up as much state as possible, and terminate as normally as possible.

Basically, both your questions are "what do I do when my subsystems do not behave themselves?" If your subsystems are unreliable, either make them reliable, or have a policy for how you deal with an unreliable subsystem, and implement that policy. That's a vague answer I know, but that's because dealing with an unreliable subsystem is an inherently awful situation to be in. How you deal with it depends on the nature of its unreliability, and the consequences of that unreliability to the user's valuable data.

While loop in python doesn't end when it contains a lock

Actually it's not just 1 thread that will give the next line is the return. There can be anywhere between 1 to 8.

In my executions, sometimes i got 1,3,4,5,6,7 or 1,2,3,4,5,6,7 or 1,4,5,6,7 or only 5,6,7 etc.

You have a race-condition.

The race condition is in between the while check not my_queue.empty() and the lock.acquire()

Essentially, the .empty() could give you a "it is not empty" but before you acquired the lock, something else could have taken that value out. Hence you need to do your checks for these things within the lock.

Here is a safer implementation:

import threading
import queue
import time

my_queue = queue.Queue()

lock = threading.Lock()

for i in range(50):
    my_queue.put(i)

def something_useful(CPU_number):
    while True:
        lock.acquire()
        if not my_queue.empty():
            print("CPU_C " + str(CPU_number) + ": " + str(my_queue.get()))
            lock.release()
        else:
            lock.release()
            break

    print("CPU_C " + str(CPU_number) + ": the next line is the return")

    return

number_of_threads = 8

practice_threads = []

for i in range(number_of_threads):
    thread = threading.Thread(target=something_useful, args=(i, ))
    practice_threads.append(thread)
    thread.start()

Note: in you're current code as you're only getting the value - it's always a blocker i.e. only 1 thread at a time for the whole loop. Ideally you would do:

if not my_queue.empty():
    val = my_queue.get()
    lock.release()
    print("CPU_C " + str(CPU_number) + ": " + str(val))
    heavy_processing(val)  # While this is going on another thread can read the next val

Form freezes during while loop

In this case, you actually want some work done on a thread that's separate from your main UI thread.

The ideal scenario would be to leverage the BackgroundWorker object, which will happily run on another thread and not block your UI.

I won't give you a full explanation, as there are plenty of tutorials out there, but you're going to want to do something like:

var worker = new BackgroundWorker();
worker.DoWork += new DoWorkEventHandler(worker_DoWork);

This creates the BackgroundWorker and binds its DoWork event to the workerDoWork handler we are about to create:

 void worker_DoWork(object sender, DoWorkEventArgs e)
 {
    //Glorious time-consuming code that no longer blocks!
    while (Process.GetProcessesByName("notepad").Length == 0)
    {
        System.Threading.Thread.Sleep(1000);
    }
 }

Now start the worker:

 worker.RunWorkerAsync();

Check out this tutorial: http://www.codeproject.com/Articles/99143/BackgroundWorker-Class-Sample-for-Beginners

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