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Java RandomDataGenerator.nextUniform方法代碼示例

本文整理匯總了Java中org.apache.commons.math3.random.RandomDataGenerator.nextUniform方法的典型用法代碼示例。如果您正苦於以下問題：Java RandomDataGenerator.nextUniform方法的具體用法？Java RandomDataGenerator.nextUniform怎麽用？Java RandomDataGenerator.nextUniform使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.commons.math3.random.RandomDataGenerator的用法示例。


在下文中一共展示了RandomDataGenerator.nextUniform方法的14個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: addRandomTile

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
public void addRandomTile(RandomDataGenerator random) {
	List<Integer> emptyLocations = new ArrayList<>();
	for (int location = 0; location < SIZE * SIZE; location++) {
		if (getValue(location) == 0) {
			emptyLocations.add(location);
		}
	}

	Integer randomEmptyLocation = RandomUtils.pickRandom(emptyLocations, random);
	boolean isFour = (random.nextUniform(0, 1, true) < RANDOM_FOUR_PROB);
	if (isFour) {
		setValue(randomEmptyLocation, 2);
	} else {
		setValue(randomEmptyLocation, 1);
	}
}
開發者ID:wjaskowski，項目名稱:2048-gecco-2015-competition，代碼行數:17，代碼來源:State2048.java

示例2: randomNormal

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
public static double randomNormal(RandomDataGenerator rnd, final double min, final double max, final double variance) {
	double value;
	
	if (min == max)
		return min;
	
	if (variance == 0.0) {
		value = rnd.nextUniform(min, max);
	} else {
		do {
			value = rnd.nextGaussian((max + min)/2, variance);
		} while (value < min || value > max);
	}
	
	return value;
}
開發者ID:gmarciani，項目名稱:opmap，代碼行數:17，代碼來源:GMath.java

示例3: sampleDataset

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
private static XYDataset sampleDataset() {		
RandomDataGenerator rnd = new RandomDataGenerator();		
      
      XYSeries series1 = new XYSeries("First");
      XYSeries series2 = new XYSeries("Second");
      XYSeries series3 = new XYSeries("Third");
      
      for (int input = 100; input <= 1000; input+=100) {
      	double value = rnd.nextUniform(100, 1000000);
      	series1.add(input, value);
      	series2.add(input, value * 10);
      	series3.add(input, value * 100);
      }

      XYSeriesCollection dataset = new XYSeriesCollection();
      dataset.addSeries(series1);
      dataset.addSeries(series2);
      dataset.addSeries(series3);
              
      return dataset;        
  }
開發者ID:gmarciani，項目名稱:opmap，代碼行數:22，代碼來源:TestLinePlot.java

示例4: getRandomValue

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
/**
 * @param rdg random number generator to use
 * @return a hyperparameter value chosen uniformly at random from the range
 */
@Override
public Double getRandomValue(RandomDataGenerator rdg) {
  if (max == min) {
    return min;
  }
  return rdg.nextUniform(min, max, true);
}
開發者ID:oncewang，項目名稱:oryx2，代碼行數:12，代碼來源:ContinuousRange.java

示例5: testExpectedValues

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
@Test
public void testExpectedValues() {
	
	long seed = 0;
	Random rand = new Random (seed);
	RandomDataGenerator randomData = new RandomDataGenerator(); 

	double uniformAverage = 0.0;
	double binomialAverage = 0.0;
	double normalAverage = 0.0;
	double exponentialAverage = 0.0;
	
	for(int i=0; i<1e6; i++){
		
		// set current seed
		randomData.reSeed(seed);

		// draw random numbers
		double n = randomData.nextGaussian(0, 1);
		double u = randomData.nextUniform(0, 1);
		double b = randomData.nextBinomial(1, 0.5);
		double e = randomData.nextExponential(0.25);
		
		// average mean random number
		uniformAverage += (1. / (1.+i))*(u - uniformAverage);
		binomialAverage += (1. / (1.+i))*(b - binomialAverage);
		normalAverage += (1. / (1.+i))*(n - normalAverage);
		exponentialAverage += (1. / (1.+i))*(e - exponentialAverage);
		
		// draw new seed from global random generator
		seed = rand.nextLong();
	}
	
	assertEquals (0.5, uniformAverage, 0.001);
	assertEquals (0.5, binomialAverage, 0.001);
	assertEquals (0.0, normalAverage, 0.001);
	assertEquals (0.25, exponentialAverage, 0.001);
}
開發者ID:siemens，項目名稱:industrialbenchmark，代碼行數:39，代碼來源:RandomNumberExpectedValueTest.java

示例6: uniform

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
@Override
public Double uniform( RandomDataGenerator random, Double min, Double max )
{
    if ( min == max )
    {
        return min;
    }
    return random.nextUniform( min, max, true );
}
開發者ID:ldbc，項目名稱:ldbc_snb_driver，代碼行數:10，代碼來源:NumberHelper.java

示例7: nextUniform

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
/** Same as random.nextDouble(lower, upper, true), but does not throw exception when lower == upper */
public static double nextUniform(double lower, double upper, RandomDataGenerator random) {
	return lower == upper ? lower : random.nextUniform(lower, upper, true);
}
開發者ID:wjaskowski，項目名稱:2048-gecco-2015-competition，代碼行數:5，代碼來源:RandomUtils.java

示例8: generate

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
public void generate(int sleep_frequency) throws InterruptedException {
        ThroughputLog throughput = new ThroughputLog(this.getClass().getSimpleName());
        long time = System.currentTimeMillis();

        // Obtain a cached thread pool
        ExecutorService cachedPool = Executors.newCachedThreadPool();

        RandomDataGenerator generator = new RandomDataGenerator();
        generator.reSeed(10000000L);
        // sub thread use variable in main thread
        // for loop to generate advertisement

        ArrayList<Advertisement> advList = new ArrayList<>();
        for (long i = 1; i < ADV_NUM; ++i) {
            // advertisement id
            String advId = UUID.randomUUID().toString();
            long timestamp = System.currentTimeMillis();
            producer.send(new ProducerRecord<>(ADV_TOPIC, advId, String.format("%d\t%s", timestamp, advId)));
//            System.out.println("Shown: " + System.currentTimeMillis() + "\t" + advId);

            // whether customer clicked this advertisement
            if (generator.nextUniform(0, 1) <= clickProbability) {
//                long deltaT = (long)generator.nextExponential(clickLambda)*1000;
                long deltaT = (long) generator.nextGaussian(clickLambda, 1) * 1000;
//                System.out.println(deltaT);
                advList.add(new Advertisement(advId, timestamp + deltaT));
            }

            if (i % 100 == 0) {
                cachedPool.submit(new ClickThread(advList));
                advList = new ArrayList<>();
            }

            throughput.execute();
            // control data generate speed
            if (sleep_frequency > 0 && i % sleep_frequency == 0) {
                Thread.sleep(1);
            }

        }
        cachedPool.shutdown();
        try {
            cachedPool.awaitTermination(1, TimeUnit.MINUTES);
        } catch (InterruptedException e) {
        }

        logger.info("LatencyLog: " + String.valueOf(System.currentTimeMillis() - time));

    }
開發者ID:wangyangjun，項目名稱:StreamBench，代碼行數:50，代碼來源:AdvClick.java

示例9: getRandomInRange

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
private double getRandomInRange(double min, double max) {
    RandomDataGenerator generator = new RandomDataGenerator();
    return generator.nextUniform(min, max);
}
開發者ID:dbunibas，項目名稱:BART，代碼行數:5，代碼來源:OutlierValueSelector.java

示例10: showSimulationDialog

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
private boolean showSimulationDialog()
{
	ExtendedGenericDialog gd = new ExtendedGenericDialog(TITLE);

	SimulationDistribution[] distributionValues = SimulationDistribution.values();
	String[] distribution = SettingsManager.getNames((Object[]) distributionValues);

	// Random crosstalk if not set
	if (Maths.max(ct) == 0)
	{
		RandomDataGenerator rdg = getRandomDataGenerator();
		for (int i = 0; i < ct.length; i++)
			ct[i] = rdg.nextUniform(0.05, 0.15); // Have some crosstalk
	}

	// Three channel
	for (int c = 0; c < 3; c++)
	{
		String ch = "_C" + (c + 1);
		gd.addNumericField("Molcules" + ch, sim_nMolecules[c], 0);
		gd.addChoice("Distribution" + ch, distribution, distribution[sim_distribution[c].ordinal()]);
		gd.addNumericField("Precision_" + ch, sim_precision[c], 3);
		gd.addNumericField("Crosstalk_" + ctNames[2 * c], ct[2 * c], 3);
		gd.addNumericField("Crosstalk_" + ctNames[2 * c + 1], ct[2 * c + 1], 3);
	}
	gd.showDialog();

	if (gd.wasCanceled())
		return false;

	int count = 0;
	for (int c = 0; c < 3; c++)
	{
		sim_nMolecules[c] = (int) Math.abs(gd.getNextNumber());
		if (sim_nMolecules[c] > 0)
			count++;
		sim_distribution[c] = distributionValues[gd.getNextChoiceIndex()];
		sim_precision[c] = Math.abs(gd.getNextNumber());
		ct[2 * c] = Math.abs(gd.getNextNumber());
		ct[2 * c + 1] = Math.abs(gd.getNextNumber());
	}

	if (gd.invalidNumber())
		return false;
	if (count < 2)
	{
		IJ.error(TITLE, "Simulation requires at least 2 channels");
		return false;
	}

	try
	{
		for (int i = 0; i < ct.length; i += 2)
		{
			if (sim_nMolecules[i / 2] > 0)
				validateCrosstalk(i, i + 1);
		}
	}
	catch (IllegalArgumentException ex)
	{
		IJ.error(TITLE, ex.getMessage());
		return false;
	}

	return true;
}
開發者ID:aherbert，項目名稱:GDSC-SMLM，代碼行數:67，代碼來源:PulseActivationAnalysis.java

示例11: crlbIsHigherWithPrecomputed

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
@Test
public void crlbIsHigherWithPrecomputed()
{
	int iter = 10;
	rdg = new RandomDataGenerator(new Well19937c(30051977));

	ErfGaussian2DFunction func = (ErfGaussian2DFunction) GaussianFunctionFactory.create2D(1, 10, 10,
			GaussianFunctionFactory.FIT_ERF_FREE_CIRCLE, null);

	double[] a = new double[1 + Gaussian2DFunction.PARAMETERS_PER_PEAK];
	int n = func.getNumberOfGradients();

	// Get a background
	double[] b = new double[func.size()];
	for (int i = 0; i < b.length; i++)
		b[i] = rdg.nextUniform(1, 2);

	for (int i = 0; i < iter; i++)
	{
		a[Gaussian2DFunction.BACKGROUND] = rdg.nextUniform(0.1, 0.3);
		a[Gaussian2DFunction.SIGNAL] = rdg.nextUniform(100, 300);
		a[Gaussian2DFunction.X_POSITION] = rdg.nextUniform(4, 6);
		a[Gaussian2DFunction.Y_POSITION] = rdg.nextUniform(4, 6);
		a[Gaussian2DFunction.X_SD] = rdg.nextUniform(1, 1.3);
		a[Gaussian2DFunction.Y_SD] = rdg.nextUniform(1, 1.3);

		PoissonGradientProcedure p1 = PoissonGradientProcedureFactory.create(func);
		p1.computeFisherInformation(a);

		PoissonGradientProcedure p2 = PoissonGradientProcedureFactory
				.create(PrecomputedGradient1Function.wrapGradient1Function(func, b));
		p2.computeFisherInformation(a);

		FisherInformationMatrix m1 = new FisherInformationMatrix(p1.getLinear(), n);
		FisherInformationMatrix m2 = new FisherInformationMatrix(p2.getLinear(), n);
		double[] crlb1 = m1.crlb();
		double[] crlb2 = m2.crlb();
		Assert.assertNotNull(crlb1);
		Assert.assertNotNull(crlb2);
		//System.out.printf("%s : %s\n", Arrays.toString(crlb1), Arrays.toString(crlb2));
		for (int j = 0; j < n; j++)
			Assert.assertTrue(crlb1[j] < crlb2[j]);
	}
}
開發者ID:aherbert，項目名稱:GDSC-SMLM，代碼行數:45，代碼來源:PoissonGradientProcedureTest.java

示例12: crlbIsHigherWithPrecomputed

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
@Test
public void crlbIsHigherWithPrecomputed()
{
	int iter = 10;
	rdg = new RandomDataGenerator(new Well19937c(30051977));

	ErfGaussian2DFunction func = (ErfGaussian2DFunction) GaussianFunctionFactory.create2D(1, 10, 10,
			GaussianFunctionFactory.FIT_ERF_FREE_CIRCLE, null);

	double[] a = new double[1 + Gaussian2DFunction.PARAMETERS_PER_PEAK];
	int n = func.getNumberOfGradients();

	// Get a background
	double[] b = new double[func.size()];
	for (int i = 0; i < b.length; i++)
		b[i] = rdg.nextUniform(1, 2);

	for (int i = 0; i < iter; i++)
	{
		a[Gaussian2DFunction.BACKGROUND] = rdg.nextUniform(0.1, 0.3);
		a[Gaussian2DFunction.SIGNAL] = rdg.nextUniform(100, 300);
		a[Gaussian2DFunction.X_POSITION] = rdg.nextUniform(4, 6);
		a[Gaussian2DFunction.Y_POSITION] = rdg.nextUniform(4, 6);
		a[Gaussian2DFunction.X_SD] = rdg.nextUniform(1, 1.3);
		a[Gaussian2DFunction.Y_SD] = rdg.nextUniform(1, 1.3);

		LSQVarianceGradientProcedure p1 = LSQVarianceGradientProcedureFactory.create(func);
		p1.variance(a);

		LSQVarianceGradientProcedure p2 = LSQVarianceGradientProcedureFactory
				.create(PrecomputedGradient1Function.wrapGradient1Function(func, b));
		p2.variance(a);

		double[] crlb1 = p1.variance;
		double[] crlb2 = p2.variance;
		Assert.assertNotNull(crlb1);
		Assert.assertNotNull(crlb2);
		//System.out.printf("%s : %s\n", Arrays.toString(crlb1), Arrays.toString(crlb2));
		for (int j = 0; j < n; j++)
			Assert.assertTrue(crlb1[j] < crlb2[j]);
	}
}
開發者ID:aherbert，項目名稱:GDSC-SMLM，代碼行數:43，代碼來源:LSQVarianceGradientProcedureTest.java

示例13: genCrack2d

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
public void genCrack2d( float[] startPt, float[] endPt, int crackLength,
						float distShp, float distScale, float skewMn, float skewVar,
						RandomDataGenerator rand ){
	
	int ndims = startPt.length;
	
	crackCtrlPts 	 = new float[crackLength][ndims];
	crackCtrlOffsets = new float[crackLength][ndims];
	
	crackCtrlPts[ 0 ] = startPt;
	crackCtrlPts[ crackLength-1 ] = endPt;
	
	double[] ptSpacing = new double[ crackLength - 2 ];
	for( int i=0; i<ptSpacing.length; i++){
		if( rand != null ){
			ptSpacing[i] = rand.nextUniform( 0, 1 );
		}else{
			ptSpacing[i] =  i / (double)(ptSpacing.length-1) ;
		}
	}
	Arrays.sort( ptSpacing );
	logger.debug(" pt Spacing \n" + ArrayUtil.printArray( ptSpacing ));
	
	for( int i=0; i<ptSpacing.length; i++){
		for( int d=0; d<startPt.length; d++){
			crackCtrlPts[ i+1 ][d] = (float)((1 - ptSpacing[i]) * startPt[d] + ptSpacing[i] * endPt[d]);  
		}	
	}
	
	float[] lineVec = ArrayUtil.subtract( endPt, startPt );
	ArrayUtil.normalizeLengthInPlace(lineVec);
	float[] lineVecPerp = SimpleLinAlg.orth2d( lineVec );
	
	double skewAmt = 0;
	double dist    = distShp;
	for( int i=0; i<crackLength; i++)
	{
		if ( rand != null ){
			skewAmt = rand.nextGaussian( skewMn, skewVar);
			dist = rand.nextGamma( distShp, distScale );	
		}
		
		for( int d=0; d<startPt.length; d++)
		{
			crackCtrlOffsets[i][d] = (float)( lineVec[d] * skewAmt + lineVecPerp[d] * ( 1 - skewAmt ) );
			crackCtrlOffsets[i][d] *= dist;
		}
	}
	
	logger.debug(" crack Pts:\n" + ArrayUtil.printArray( crackCtrlPts ));
	logger.debug("\n crack Offsets:\n" + ArrayUtil.printArray( crackCtrlOffsets ));
	
	buildXfmMesh();
}
開發者ID:bogovicj，項目名稱:hhmi-exp，代碼行數:55，代碼來源:SimCrack.java

示例14: nextRandomDouble

import org.apache.commons.math3.random.RandomDataGenerator; //導入方法依賴的package包/類
/**
 * Returns a uniformly distributed random double value in the opened
 * interval ({@code lower}, {@code upper}).
 * 
 * @param rng
 *            the random number generator used to generate the value
 * @param lower
 *            lower bound
 * @param upper
 *            upper bound
 * 
 * @return random double value between {@code lower} and {@code upper}
 * 
 * @throws IllegalStateException
 *             if {@code lower} is not smaller than {@code upper}
 * 
 */
public static double nextRandomDouble(Random rng, double lower,
		double upper) {

	if (lower >= upper)
		throw new IllegalStateException("lower must be smaller then upper");

	RandomDataGenerator rndGenerator = new RandomDataGenerator(
			RandomGeneratorFactory.createRandomGenerator(rng));

	return rndGenerator.nextUniform(lower, upper);
}
開發者ID:biggis-project，項目名稱:path-optimizer，代碼行數:29，代碼來源:Utils.java


注：本文中的org.apache.commons.math3.random.RandomDataGenerator.nextUniform方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。