Examples of RandomGenerator

br.net.woodstock.rockframework.core.string.impl.RandomGenerator
br.net.woodstock.rockframework.text.impl.RandomGenerator
br.net.woodstock.rockframework.util.RandomGenerator
com.oltpbenchmark.util.RandomGenerator
org.apache.commons.math.random.RandomGenerator
Interface extracted from java.util.Random. This interface is implemented by {@link AbstractRandomGenerator}. @since 1.1 @version $Revision: 949750 $ $Date: 2010-05-31 16:06:04 +0200 (lun. 31 mai 2010) $
org.apache.commons.math3.random.RandomGenerator
Interface extracted from java.util.Random. This interface is implemented by {@link AbstractRandomGenerator}. @since 1.1
org.xtreemfs.babudb.sandbox.RandomGenerator

If two instances of {@link Random} are created with the same seed, and the same sequence of method calls is made for each, they will generate and return identical sequences of numbers. In order to guarantee this property, particular algorithms are specified for the class {@link Random}.
This class was written for evaluating BabuDB at realistic conditions at an network/cluster. @author flangner
randomevents.generator.RandomGenerator
@author Kirill

Examples of org.apache.commons.math3.random.RandomGenerator

        }
    }


    @Test
    public void testTransform() {
        RandomGenerator random = new Well1024a(0x16992fc4294bf2f1l);
        UnitSphereRandomVectorGenerator sphRandom = new UnitSphereRandomVectorGenerator(3, random);
        for (int i = 0; i < 100; ++i) {


            Rotation r = new Rotation(new Vector3D(sphRandom.nextVector()),
                                      FastMath.PI * random.nextDouble());
            Transform<Sphere2D, Sphere1D> t = Circle.getTransform(r);


            S2Point  p = new S2Point(new Vector3D(sphRandom.nextVector()));
            S2Point tp = (S2Point) t.apply(p);
            Assert.assertEquals(0.0, r.applyTo(p.getVector()).distance(tp.getVector()), 1.0e-10);


            Circle  c = new Circle(new Vector3D(sphRandom.nextVector()), 1.0e-10);
            Circle tc = (Circle) t.apply(c);
            Assert.assertEquals(0.0, r.applyTo(c.getPole()).distance(tc.getPole()),   1.0e-10);
            Assert.assertEquals(0.0, r.applyTo(c.getXAxis()).distance(tc.getXAxis()), 1.0e-10);
            Assert.assertEquals(0.0, r.applyTo(c.getYAxis()).distance(tc.getYAxis()), 1.0e-10);
            Assert.assertEquals(c.getTolerance(), ((Circle) t.apply(c)).getTolerance(), 1.0e-10);


            SubLimitAngle  sub = new LimitAngle(new S1Point(MathUtils.TWO_PI * random.nextDouble()),
                                                random.nextBoolean(), 1.0e-10).wholeHyperplane();
            Vector3D psub = c.getPointAt(((LimitAngle) sub.getHyperplane()).getLocation().getAlpha());
            SubLimitAngle tsub = (SubLimitAngle) t.apply(sub, c, tc);
            Vector3D ptsub = tc.getPointAt(((LimitAngle) tsub.getHyperplane()).getLocation().getAlpha());
            Assert.assertEquals(0.0, r.applyTo(psub).distance(ptsub), 1.0e-10);

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Examples of org.apache.commons.math3.random.RandomGenerator

        final BivariateFunction bcf
            = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                     dZdX, dZdY, dZdXdY);
        double x, y;


        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

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Examples of org.apache.commons.math3.random.RandomGenerator


        BivariateFunction bcf = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                                       dZdX, dZdY, dZdXdY);
        double x, y;


        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

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Examples of org.apache.commons.math3.random.RandomGenerator


        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;


        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

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Examples of org.apache.commons.math3.random.RandomGenerator


        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;


        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

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Examples of org.apache.commons.math3.random.RandomGenerator

        Assert.assertEquals(4, sphere.getSupportSize());
    }


    @Test
    public void testRandom() {
        final RandomGenerator random = new Well1024a(0xd015982e9f31ee04l);
        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(3, random);
        for (int i = 0; i < 100; ++i) {
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            List<Vector3D> support = new ArrayList<Vector3D>();
            for (int j = 0; j < 5; ++j) {
                support.add(new Vector3D(1.0, refCenter, refRadius, new Vector3D(sr.nextVector())));
            }

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Examples of org.apache.commons.math3.random.RandomGenerator

 *  - allow editing of the point set
 */
public class GeometryExample {


    public static List<Vector2D> createRandomPoints(int size) {
        RandomGenerator random = new MersenneTwister();


        // create the cloud container
        List<Vector2D> points = new ArrayList<Vector2D>(size);
        // fill the cloud with a random distribution of points
        for (int i = 0; i < size; i++) {
            points.add(new Vector2D(FastMath.round(random.nextDouble() * 400 + 100),
                    FastMath.round(random.nextDouble() * 400 + 100)));
        }
        
        return points;
    }

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Examples of org.apache.commons.math3.random.RandomGenerator

                                   new GammaDistribution(5, 1),
                                   new GammaDistribution(9, 0.5));
            container.add(comp, c);


            c.gridx++;
            RandomGenerator rng = new MersenneTwister(0);
            comp = createComponent("Levy", 0, 3,
                                   new String[] { "c=0.5", "c=1", "c=2", "c=4", "c=8" },
                                   new LevyDistribution(rng, 0, 0.5),
                                   new LevyDistribution(rng, 0, 1),
                                   new LevyDistribution(rng, 0, 2),

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Examples of org.apache.commons.math3.random.RandomGenerator

     * Creates a new random Polygon of the given length.
     */
    public static Polygon randomPolygon(int length) {
        final int polygonSize = 4 + 2 * length;


        final RandomGenerator random = GeneticAlgorithm.getRandomGenerator();
        
        Polygon p = new Polygon();
        p.data = new float[polygonSize];


        p.data[0] = random.nextFloat(); // r
        p.data[1] = random.nextFloat(); // g
        p.data[2] = random.nextFloat(); // b
        p.data[3] = FastMath.max(0.2f, random.nextFloat() * random.nextFloat()); // a
        
        float px = random.nextFloat();
        float py = random.nextFloat();
        
        for (int k = 0; k < length; k++) {
            p.data[4 + 2*k] = px + (random.nextFloat() - 0.5f);
            p.data[5 + 2*k] = py + (random.nextFloat() - 0.5f);
        }
        return p;
    }

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Examples of org.apache.commons.math3.random.RandomGenerator

            
            setLayout(new GridBagLayout());
            
            int nSamples = 1500;
            
            RandomGenerator rng = new Well19937c(0);
            List<List<DoublePoint>> datasets = new ArrayList<List<DoublePoint>>();


            datasets.add(normalize(makeCircles(nSamples, true, 0.04, 0.5, rng), -1, 1, -1, 1));
            datasets.add(normalize(makeMoons(nSamples, true, 0.04, rng), -1, 2, -1, 1));
            datasets.add(normalize(makeBlobs(nSamples, 3, 1.0, -10, 10, true, rng), -12, 12, -12, 12));

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