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

            expected = f.value( currentX );
            actual = interpolation.value( currentX );
            assertTrue( Precision.equals( expected, actual ) );
        }


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


        double sumError = 0;
        for ( int i = 0; i < numberOfSamples; i++ )

View Full Code Here

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

                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);

View Full Code Here

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

        }
    }


    @Test
    public void testFloorDivModInt() {
        RandomGenerator generator = new Well1024a(0x7ccab45edeaab90al);
        for (int i = 0; i < 10000; ++i) {
            int a = generator.nextInt();
            int b = generator.nextInt();
            if (b == 0) {
                try {
                    FastMath.floorDiv(a, b);
                    Assert.fail("an exception should have been thrown");
                } catch (MathArithmeticException mae) {

View Full Code Here

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

        }
    }


    @Test
    public void testFloorDivModLong() {
        RandomGenerator generator = new Well1024a(0xb87b9bc14c96ccd5l);
        for (int i = 0; i < 10000; ++i) {
            long a = generator.nextLong();
            long b = generator.nextLong();
            if (b == 0) {
                try {
                    FastMath.floorDiv(a, b);
                    Assert.fail("an exception should have been thrown");
                } catch (MathArithmeticException mae) {

View Full Code Here

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

    static final int[] sampleSizes= {TINY , SMALL , NOMINAL , MEDIUM ,
            STANDARD, BIG };


    @Test
    public void testStoredVsDirect() {
        final RandomGenerator rand= new JDKRandomGenerator();
        rand.setSeed(Long.MAX_VALUE);
        for (final int sampleSize:sampleSizes) {
            final double[] data = new NormalDistribution(rand,4000, 50)
                                .sample(sampleSize);
            for (final double p:new double[] {50d,95d}) {
                for (final Percentile.EstimationType e : Percentile.EstimationType.values()) {

View Full Code Here

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

        TestUtils.assertEquals(correctRanks, ranks, 0d);
    }


    @Test
    public void testNaNsFixedTiesRandom() {
        RandomGenerator randomGenerator = new JDKRandomGenerator();
        randomGenerator.setSeed(1000);
        NaturalRanking ranking = new NaturalRanking(NaNStrategy.FIXED,
                randomGenerator);
        double[] ranks = ranking.rank(exampleData);
        double[] correctRanks = { 5, 3, 6, 7, 3, 8, Double.NaN, 1, 2 };
        TestUtils.assertEquals(correctRanks, ranks, 0d);

View Full Code Here

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

                                            double b,
                                            double sigma,
                                            double lo,
                                            double hi,
                                            long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        slope = a;
        intercept = b;
        error = new NormalDistribution(rng, 0, sigma,
                                       NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        x = new UniformRealDistribution(rng, lo, hi,

View Full Code Here

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

                actual = interpolation.value( currentX, currentY );
                assertTrue( Precision.equals( expected, actual ) );
            }
        }


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

View Full Code Here

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]);

View Full Code Here

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]);

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.