/******************************************************************************* * gMix open source project - https://svs.informatik.uni-hamburg.de/gmix/ * Copyright (C) 2014 SVS * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see <http://www.gnu.org/licenses/>. *******************************************************************************/ package staticContent.evaluation.loadGenerator.randomVariable; import org.apache.commons.math.MathException; public class Hypergeometric extends RandomVariable { private final String errorMessage = "invalid syntax for random variable " +this.getClass().getName() +"; distribution variable must be in the following form: " +"[RAND_VAR:Hypergeometric(int populationSize, int numberOfSuccesses, int sampleSize)]"; private final int numberOfParameters = 3; private final int populationSize; private final int numberOfSuccesses; private final int sampleSize; public Hypergeometric(String[] parameters) { super(parameters); if (parameters.length != numberOfParameters) throw new RuntimeException(errorMessage); try { this.populationSize = Integer.parseInt(parameters[0]); this.numberOfSuccesses = Integer.parseInt(parameters[1]); this.sampleSize = Integer.parseInt(parameters[2]); // test: this.randomDataImpl.nextHypergeometric(populationSize, numberOfSuccesses, sampleSize); } catch (Exception e) { e.printStackTrace(); throw new RuntimeException(errorMessage); } } @Override public int drawIntSample() { try { return randomDataImpl.nextHypergeometric(populationSize, numberOfSuccesses, sampleSize); } catch (MathException e) { e.printStackTrace(); throw new RuntimeException(errorMessage); } } }