Example usage for org.apache.commons.math3.distribution IntegerDistribution reseedRandomGenerator

Introduction

In this page you can find the example usage for org.apache.commons.math3.distribution IntegerDistribution reseedRandomGenerator.

Prototype

void reseedRandomGenerator(long seed);

Source Link

Document

Reseed the random generator used to generate samples.

Usage

From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public EClass getNextRootEClass(ImmutableSet<EClass> rootEClasses) {
    if (rootEClasses.size() == 1)
        return rootEClasses.asList().get(0);

    IntegerDistribution distribution = distributions.get(rootEClasses);
    if (distribution == null) {
        distribution = new UniformIntegerDistribution(0, rootEClasses.size() - 1);
        distribution.reseedRandomGenerator(random.nextLong());
        distributions.put(rootEClasses, distribution);
    }// ww w  .ja va 2s . c o m

    return rootEClasses.asList().get(distribution.sample());
}

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From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public IntegerDistribution getValueDistributionFor(Class<?> clazz) {
    IntegerDistribution distribution = distributions.get(clazz);
    if (distribution == null) {
        distribution = new UniformIntegerDistribution(valuesRange.getMinimum(), valuesRange.getMaximum());
        distribution.reseedRandomGenerator(random.nextLong());
        distributions.put(clazz, distribution);
    }/*from   www  .  jav  a 2s  . co m*/
    return distribution;
}

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From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public IntegerDistribution getResourceSizeDistribution() {
    IntegerDistribution distribution = distributions.get(metamodelResource);
    if (distribution == null) {
        distribution = new UniformIntegerDistribution(elementsRange.getMinimum(), elementsRange.getMaximum());
        distribution.reseedRandomGenerator(random.nextLong());
        distributions.put(metamodelResource, distribution);
    }//from ww w. ja va2  s  . c  om
    return distribution;
}

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From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public IntegerDistribution getDepthDistributionFor(EClass eClass) {
    IntegerDistribution distribution = distributions.get(eClass);
    if (distribution == null) {
        distribution = new UniformIntegerDistribution(referencesRange.getMinimum(),
                referencesRange.getMaximum());
        distribution.reseedRandomGenerator(random.nextLong());
        distributions.put(eClass, distribution);
    }/*  w ww.  j a  v  a 2  s . c  o  m*/
    return distribution;
}

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From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public IntegerDistribution getDistributionFor(EAttribute eAttribute) {
    IntegerDistribution distribution = distributions.get(eAttribute);

    if (distribution == null) {
        if (!eAttribute.isMany()) {
            distribution = new UniformIntegerDistribution(propertiesRange.getMinimum(),
                    propertiesRange.getMaximum());
            distribution.reseedRandomGenerator(random.nextLong());
        } else {/*www .j a  v a  2  s . c  om*/
            final int upperBound = eAttribute.getUpperBound() == EAttribute.UNBOUNDED_MULTIPLICITY
                    ? Integer.MAX_VALUE
                    : eAttribute.getUpperBound();
            // TODO fix lowerBound when it is equal to 
            int lowerBound = upperBound == eAttribute.getLowerBound() ? 0 : eAttribute.getLowerBound();
            int min = Math.max(Math.min(propertiesRange.getMinimum(), upperBound), lowerBound);
            int max = Math.min(propertiesRange.getMaximum(), upperBound);
            if (min == max) {
                return new MonoValuedIntegerDistribution(min);
            } else {
                distribution = new UniformIntegerDistribution(min, max);
                distribution.reseedRandomGenerator(random.nextLong());
            }
        }
        distributions.put(eAttribute, distribution);
    }
    return distribution;
}

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From source file:fr.inria.atlanmod.instantiator.neoEMF.GenericMetamodelConfig.java

@Override
public IntegerDistribution getDistributionFor(EReference eReference) {
    IntegerDistribution distribution = distributions.get(eReference);

    if (distribution == null) {
        if (!eReference.isMany()) {
            distribution = new UniformIntegerDistribution(propertiesRange.getMinimum(),
                    propertiesRange.getMaximum());
            distribution.reseedRandomGenerator(random.nextLong());
        } else {/*from  w  w w.j  a v a 2 s.c  om*/
            final int upperBound = eReference.getUpperBound() == EAttribute.UNBOUNDED_MULTIPLICITY
                    ? Integer.MAX_VALUE
                    : eReference.getUpperBound();
            // TODO fix lowerBound when it is equal to 
            int lowerBound = upperBound == eReference.getLowerBound() ? 0 : eReference.getLowerBound();
            int min = Math.max(Math.min(propertiesRange.getMinimum(), upperBound), lowerBound);
            int max = Math.min(propertiesRange.getMaximum(), upperBound);
            if (min == max) {
                return new MonoValuedIntegerDistribution(min);
            } else {
                distribution = new UniformIntegerDistribution(min, max);
                distribution.reseedRandomGenerator(random.nextLong());
            }
        }
        distributions.put(eReference, distribution);
    }
    return distribution;
}

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From source file:org.apache.beam.sdk.io.synthetic.SyntheticOptions.java

public static Sampler fromIntegerDistribution(final IntegerDistribution dist) {
    return new Sampler() {
        private static final long serialVersionUID = 0L;

        @Override/*from  w  ww .  java 2 s.co m*/
        public double sample(long seed) {
            dist.reseedRandomGenerator(seed);
            return dist.sample();
        }

        @Override
        public Object getDistribution() {
            return dist;
        }
    };
}

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