Java AtomicInteger.getAndAdd方法代碼示例

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private CacheManager(final File cacheDir, final long sizeLimit, final int countLimit) {
    this.cacheDir = cacheDir;
    this.sizeLimit = sizeLimit;
    this.countLimit = countLimit;
    cacheSize = new AtomicLong();
    cacheCount = new AtomicInteger();
    mThread = new Thread(new Runnable() {
        @Override
        public void run() {
            int size = 0;
            int count = 0;
            final File[] cachedFiles = cacheDir.listFiles();
            if (cachedFiles != null) {
                for (File cachedFile : cachedFiles) {
                    size += cachedFile.length();
                    count += 1;
                    lastUsageDates.put(cachedFile, cachedFile.lastModified());
                }
                cacheSize.getAndAdd(size);
                cacheCount.getAndAdd(count);
            }
        }
    });
    mThread.start();
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
@Override
public MetricData sliceInvoked() {
    if (elapsed_distribution.length == 0) {
        return null;
    }
    JSFElapsedData data = new JSFElapsedData(interfaceId, methodName, providerIp, consumerIp);
    data.setElapsedMetricsId(elaspedMetricsId);
    int[] distribution = new int[elapsed_distribution.length];
    for (int i = 0; i < elapsed_distribution.length; i++) {
        AtomicInteger counter = elapsed_distribution[i];
        int count = counter.get();
        distribution[i] = count;
        if (count > 0) {
            counter.getAndAdd(-count); // 減去已經統計的值
        }
    }
    data.setDistribution(distribution);

    return data;
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
@Test
public void test() throws InterruptedException {
    final AtomicInteger atomic = new AtomicInteger();
    Runnable task = new Runnable() {
        @Override
        public void run() {
            int i = atomic.getAndAdd(1);
            String encrypt = EncryptUtil.encrypt("" + i);
            System.out.println(EncryptUtil.decrypt(encrypt));
        }
    };
    ExecutorService executor = Executors.newFixedThreadPool(20);
    for (int i = 0; i < 20; i++) {
        executor.execute(task);
    }
    Thread.sleep(3000);
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
protected void verifyValuesOnAllVMs(String tableName) {
  AtomicInteger actualRows = new AtomicInteger(0);
  final ArrayList<VM> vmList = new ArrayList<>(Arrays.asList(vm0, vm1, vm2));
  for (int i = 0; i < vmList.size(); i++) {
    final int res = (int) vmList.get(i).invoke(new SerializableCallable() {
      @Override
      public Object call() throws Exception {
        return verifyValues(tableName);
      }
    });
    actualRows.getAndAdd(res);
  }
  assertEquals(NUM_ROWS, actualRows.get());
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
public static HostInfo roundRobinSelect(String serviceName)
{
	ArrayList<HostInfo> hostInfos=LOCALSERVER_HOSTINFOS.get(serviceName);
	if(hostInfos!=null&&hostInfos.size()>0)
	{
		AtomicInteger atomicIndex=ROUNDROBIN_INDEX.get(serviceName);
		if(atomicIndex.get()==hostInfos.size())
		{
			atomicIndex.set(0);
		}
		int index=atomicIndex.getAndAdd(1);
		return hostInfos.get(index);
	}
	return null;
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private void startLocalTransform(){
     //Initialize an array to store the local Hough transform from each thread
    localHoughValues = new int [nCirlcesPrev][2*searchRadius + 1][2*searchRadius + 1][2*searchBand + 1];
    
    //Initialize an array to store the final dimensions and location of each local Hough Transform
    localHoughParameters = new int [nCirlcesPrev][9];

    //Setup two processing pipelines to multithread only if there are more than 1 circles
    if(nCirlcesPrev < 2){
        localHoughTransform(0);
        localGetCenterPoint(0); //Make sure this returns -1 to index if no circle was found
        maxHough = houghScores[0];
    }
    
    //Otherwise, multithread the local search
    else{
        //Build an array to store the result from each thread
        final Thread[] threads = newThreadArray();

        //Create an atomic integer counter that each thread can use to count through the radii
        final AtomicInteger ai = new AtomicInteger(0);

        //Build a thread for as many CPUs as are available to the JVM 
        for (ithread = 0; ithread < threads.length; ithread++) {    

            // Concurrently run in as many threads as CPUs  
            threads[ithread] = new Thread() {  

                { setPriority(Thread.NORM_PRIORITY); }  

                @Override
                public void run() {  

                    //Divide the task so that each core works on a subset of circles
                    for(int circleNum = ai.getAndAdd(1); circleNum < nCirlcesPrev; circleNum = ai.getAndAdd(1)){
                        //Check for interrupt
                        if(cancelThread) return;
                        
                        localHoughTransform(circleNum);
                        localGetCenterPoint(circleNum); //Make sure this returns -1 to index if no circle was found
                    }
                }               
            };  
        }    
        startAndJoin(threads);
        
        //Retrieve the maximum hough value if the raw Hough is desired
        if(houghSeries){
            for(int i=0; i<nCirlcesPrev; i++){
                if(houghScores[i] > maxHough) maxHough = houghScores[i]; 
            }
        }
    }

    //Flag move all circles to the starting indexes, so there are no gaps between circles (i.e. if there were 3 circles, then they occupy indeces 0-2)
    collapseLocalResult();
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private void startPartialLocalSearch(){
    //Build an array to store the result from each thread
    final Thread[] threads = newThreadArray();

    //Create an atomic integer counter that each thread can use to count through the radii
    final AtomicInteger ai = new AtomicInteger(0);  

    //Build a thread for as many CPUs as are available to the JVM 
    for (ithread = 0; ithread < threads.length; ithread++) {    

        // Concurrently run in as many threads as CPUs  
        threads[ithread] = new Thread() {  

            { setPriority(Thread.NORM_PRIORITY); }  

            @Override
            public void run() {  

                //Divide the task so that each core works on a subset of circles
                for(int circleNum = ai.getAndAdd(1); circleNum < nCirlcesPrev; circleNum = ai.getAndAdd(1)){
                    getLocalCenterPoint2(circleNum);
                    
                    //Check for interrupt
                    if(cancelThread) return;
                }
            }               
        };  
    }    
    startAndJoin(threads);
    
    //Clear out the remainder of the previous circles in the circle information arrays
    for(int a = nCirlcesPrev; a<circleID.length; a++){
        circleID[a] = -1;
        centerPoint[a] = new Point(-1,-1);
        centerRadii[a] = -1;
        houghScores[a] = -1;
    }
    
    //Flag move all circles to the starting indexes, so there are no gaps between circles (i.e. if there were 3 circles, then they occupy indeces 0-2)
    collapseLocalResult();
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private void houghTransform () {
    //Update progress bar string with current task
    if(isGUI) publish("Performing full Hough transform...");
    IJ.showStatus("Performing full Hough transform...");
    
    //Build an array to store the result from each thread
    final Thread[] threads = newThreadArray();
    
    //Create an atomic integer counter that each thread can use to count through the radii
    final AtomicInteger ai = new AtomicInteger(radiusMin);
    final AtomicInteger progress = new AtomicInteger(0);
    final AtomicInteger lastProgress = new AtomicInteger(0);
    
    //Create an array to store the Hough values
    houghValues = new int[width][height][depth];
    
    //Create a variable for storing the total progress possible (100 = complete)
    //Nute depth is devided by nCPUs, therefore depth*nCPUs/nCPUs = depth
    double totalProgress = height*depth/100;
    
    //Build a thread for as many CPUs as are available to the JVM 
    for (ithread = 0; ithread < threads.length; ithread++) {    
        
        // Concurrently run in as many threads as CPUs  
        threads[ithread] = new Thread() {  
                      
            { setPriority(Thread.NORM_PRIORITY); }  
  
            @Override
            public void run() {  
  
            //Divide the radius tasks across the cores available
            int currentProgress = 0;
            for (int radius = ai.getAndAdd(radiusInc); radius <= radiusMax; radius = ai.getAndAdd(radiusInc)) {  
                int indexR=(radius-radiusMin)/radiusInc;
                //For a given radius, transform each pixel in a circle, and add-up the votes 
                for(int y = 1; y < height-1; y++) {
                    //Increment the progress counter, and submit the current progress status
                    progress.getAndAdd(1);
                    
                    //Calculate the current progress value
                    currentProgress = Math.round((float) (progress.get()/totalProgress));

                    //There is a significant time penalty for progress updates, so only update if needed
                    if(currentProgress > lastProgress.get()){ //7.8s with if, 8.7s without if, 7.8s with no progress update, 8.7s with delay between GUI updates
                        if(isGUI && currentProgress <= 100) setProgress(currentProgress);
                        IJ.showProgress(currentProgress, 100);
                        lastProgress.set(currentProgress);
                    }
                    
                    //Check for interrupt
                    if(cancelThread) return;
                   
                    for(int x = 1; x < width-1; x++) {
                            if( imageValues[(x+offx)+(y+offy)*fullWidth] != 0 )  {// Edge pixel found                                    
                                for(int i = 0; i < lutSize; i++) {
                                    int a = x + lut[1][i][indexR]; 
                                    int b = y + lut[0][i][indexR]; 
                                    if((b >= 0) & (b < height) & (a >= 0) & (a < width)) {
                                        houghValues[a][b][indexR] += 1;
                                    }
                                }
                            }
                        }
                    }
                }
            }  
        };  
    }    
    startAndJoin(threads);      
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private void houghMaximum () {
    //long startTime = System.currentTimeMillis(); //1337ms without multi, 319ms with multi, 175ms by writing to private variable per thread
    //Build an array to store the result from each thread
    final Thread[] threads = newThreadArray();
    
    //Build an array to store the max from each thread
    maxHoughArray = new int[threads.length][4];
    
    //Create an atomic integer counter that each thread can use to count through the radii
    final AtomicInteger ai = new AtomicInteger(0);
    final AtomicInteger progress = new AtomicInteger(0);
    final AtomicInteger lastProgress = new AtomicInteger(0);
             
    //Create an integer for indexing the results array (one result per thread
    final AtomicInteger Index = new AtomicInteger(0);
    
    //Create a variable for storing the total progress possible (100 = complete)
    //Nute depth is devided by nCPUs, therefore depth*nCPUs/nCPUs = depth
    double totalProgress = height*depth/100;

    maxHough = 0;
    
    //Build a thread for as many CPUs as are available to the JVM 
    for (ithread = 0; ithread < threads.length; ithread++) {    
        
        // Concurrently run in as many threads as CPUs  
        threads[ithread] = new Thread() {  
                      
            { setPriority(Thread.NORM_PRIORITY); }  

            //Search for the largest score with each thread
            @Override
            public void run() {
                int maxHoughThread = -1;
                int maxRadiusThread = -1;
                int currentProgress = 0;
                Point maxPointThread = new Point (-1,-1);
                for(int a=ai.getAndIncrement(); a<depth; a=ai.getAndIncrement()){
                    for(int j = 0; j < height; j++) {
                        //Increment the progress counter, and submit the current progress status
                        progress.getAndAdd(1);
                        
                        //Gui updates can be time intensive, so only update at fixed time intervals
                        currentProgress = Math.round((float) (progress.get()/totalProgress));

                        //There is a significant time penalty for progress updates, so only update if needed
                        if(currentProgress > lastProgress.get() & currentProgress >= 0 & currentProgress <= 100){ //7.8s with if, 8.7s without if, 7.8s with no progress update, 8.7s with delay between GUI updates
                            if(isGUI) setProgress(currentProgress);
                            IJ.showProgress(currentProgress, 100);
                            lastProgress.set(currentProgress);
                        }
                        
                        //Check for interrupt
                        if(cancelThread) return;
                       
                        for(int k = 0; k < width; k++){
                            if(houghValues[k][j][a] > maxHoughThread) {
                                maxHoughThread = houghValues[k][j][a];
                                maxPointThread = new Point(k,j);
                                maxRadiusThread = a*radiusInc + radiusMin;
                            }
                        }
                    }
                }
                //Have each thread report the score to a common array
                maxHoughArray[Index.getAndIncrement()] = new int[]{maxHoughThread, maxRadiusThread, maxPointThread.x, maxPointThread.y};                    
            }
        };
    }
    startAndJoin(threads);
    
    //Search common array for highest score
    for (int[] maxHoughArray1 : maxHoughArray) {
        if (maxHoughArray1[0] > maxHough) {
            maxHough = maxHoughArray1[0];
            maxRadius = maxHoughArray1[1];
            maxPoint = new Point((int) maxHoughArray1[2], (int) maxHoughArray1[3]);    
        }
    }
}
 

import java.util.concurrent.atomic.AtomicInteger; //導入方法依賴的package包/類
private void HoughSpaceSeries(int slice, ImageStack houghStack){  
    //If the maximum Hough value has not yet been assigned, search the whole Hough transform for the maximum value
    if(maxHough == -1){
        houghMaximum();  
    }

    //Create an array to store the Hough values
    byte localHoughPixels[][] = new byte[depth][width*height];        
    int startFrame = ((slice-1)*depth);

    //If a full transform was done, calcualte the Hough Pixels
    if(minCircles > 0 | nCirlcesPrev > 0){
        //Build an array to store the result from each thread
        final Thread[] threads = newThreadArray();

        //Create an atomic integer counter that each thread can use to count through the radii
        final AtomicInteger ai = new AtomicInteger(radiusMin);  

        //Build a thread for as many CPUs as are available to the JVM 
        for (ithread = 0; ithread < threads.length; ithread++) {    

            // Concurrently run in as many threads as CPUs  
            threads[ithread] = new Thread() {  

                { setPriority(Thread.NORM_PRIORITY); }  

                @Override
                public void run() {  

                //Divide the radius tasks across the cores available
                for (int radius = ai.getAndAdd(radiusInc); radius <= radiusMax; radius = ai.getAndAdd(radiusInc)) {
                    //Check for interrupt
                    if(cancelThread) return;
                    
                    //Calculate the corresponding index
                    int houghIndex = (radius-radiusMin)/radiusInc;

                    //If full tansform was performed, retrieve the pixel array for the current Hough radius image
                    createHoughPixels(localHoughPixels[houghIndex], houghIndex);

                    //Deposit the array image into the corresponding slice in the stack
                    houghStack.setPixels(localHoughPixels[houghIndex], houghIndex+1+startFrame);

                    //Give the current slice the appropriate radius label
                    houghStack.setSliceLabel("Hough Space [r="+radius+", resolution="+resolution+"]", houghIndex+1+startFrame);
                }
            }  
        };
        }
        startAndJoin(threads);
    }

    //Deposit the array into the Hough Series stack
    //Not time limiting, even at fairly high resolutions
    for(int radius = radiusMin; radius<=radiusMax; radius += radiusInc) {
        //Check for interrupt
        if(cancelThread) return;

        //Calculate the corresponding index
        int houghIndex = (radius-radiusMin)/radiusInc;
        
        //Deposit the array image into the corresponding slice in the stack
        houghStack.setPixels(localHoughPixels[houghIndex], houghIndex+1+startFrame);

        //Give the current slice the appropriate radius label
        houghStack.setSliceLabel("Hough Space [r="+radius+", resolution="+resolution+"]", houghIndex+1+startFrame);
    }
}