Examples with ContDistExponential desmoj.core.dist.ContDistExponential used on opensource projects

Example 1 with ContDistExponential

use of desmoj.core.dist.ContDistExponential in project scylla by bptlab.

the class SimulationUtils method getDistribution.

public static NumericalDist<?> getDistribution(Distribution dist, SimulationModel model, String name, Integer nodeId, boolean showInReport, boolean showInTrace) throws InstantiationException {
    if (dist instanceof BinomialDistribution) {
        BinomialDistribution binDist = (BinomialDistribution) dist;
        double probability = binDist.getProbability();
        int amount = binDist.getAmount();
        return new DiscreteDistBinomial(model, name, probability, amount, showInReport, showInTrace);
    } else if (dist instanceof ConstantDistribution) {
        ConstantDistribution conDist = (ConstantDistribution) dist;
        double constantValue = conDist.getConstantValue();
        return new DiscreteDistConstant<Number>(model, name, constantValue, showInReport, showInTrace);
    } else if (dist instanceof EmpiricalDistribution) {
        EmpiricalDistribution empDist = (EmpiricalDistribution) dist;
        Map<Double, Double> entries = empDist.getEntries();
        DiscreteDistEmpirical<Double> cde = new DiscreteDistEmpirical<Double>(model, name, showInReport, showInTrace);
        for (Double value : entries.keySet()) {
            Double frequency = entries.get(value);
            cde.addEntry(value, frequency);
        }
        return cde;
    } else if (dist instanceof EmpiricalStringDistribution) {
        EmpiricalStringDistribution empDist = (EmpiricalStringDistribution) dist;
        Map<Double, Double> entries = empDist.getEntries();
        DiscreteDistEmpirical<Double> cde = new DiscreteDistEmpirical<Double>(model, name, showInReport, showInTrace);
        for (Double value : entries.keySet()) {
            Double frequency = entries.get(value);
            cde.addEntry(value, frequency);
        }
        return cde;
    } else if (dist instanceof ErlangDistribution) {
        ErlangDistribution erlDist = (ErlangDistribution) dist;
        double mean = erlDist.getMean();
        long order = erlDist.getOrder();
        return new ContDistErlang(model, name, order, mean, showInReport, showInTrace);
    } else if (dist instanceof ExponentialDistribution) {
        ExponentialDistribution expDist = (ExponentialDistribution) dist;
        double mean = expDist.getMean();
        return new ContDistExponential(model, name, mean, showInReport, showInTrace);
    } else if (dist instanceof TriangularDistribution) {
        TriangularDistribution triDist = (TriangularDistribution) dist;
        double lower = triDist.getLower();
        double upper = triDist.getUpper();
        double peak = triDist.getPeak();
        return new ContDistTriangular(model, name, lower, upper, peak, showInReport, showInTrace);
    } else if (dist instanceof NormalDistribution) {
        NormalDistribution norDist = (NormalDistribution) dist;
        double mean = norDist.getMean();
        double standardDeviation = norDist.getStandardDeviation();
        return new ContDistNormal(model, name, mean, standardDeviation, showInReport, showInTrace);
    } else if (dist instanceof PoissonDistribution) {
        PoissonDistribution poiDist = (PoissonDistribution) dist;
        double mean = poiDist.getMean();
        return new DiscreteDistPoisson(model, name, mean, showInReport, showInTrace);
    } else if (dist instanceof UniformDistribution) {
        UniformDistribution uniDist = (UniformDistribution) dist;
        double lower = uniDist.getLower();
        double upper = uniDist.getUpper();
        return new ContDistUniform(model, name, lower, upper, showInReport, showInTrace);
    } else {
        throw new InstantiationException("Distribution of node " + nodeId + " not supported.");
    }
}