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/**
 * Copyright (C) 2010-2018 Gordon Fraser, Andrea Arcuri and EvoSuite
 * contributors
 *
 * This file is part of EvoSuite.
 *
 * EvoSuite is free software: you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as published
 * by the Free Software Foundation, either version 3.0 of the License, or
 * (at your option) any later version.
 *
 * EvoSuite 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
 * Lesser Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with EvoSuite. If not, see .
 */
/**
 * 
 */
package org.evosuite.seeding.factories;

import org.evosuite.Properties;
import org.evosuite.ga.ChromosomeFactory;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.evosuite.utils.Randomness;

/**
 * @author Thomas White
 */
public class RandomIndividualTestSuiteChromosomeFactory implements
		ChromosomeFactory {

	private static final long serialVersionUID = 1L;

	private final ChromosomeFactory defaultFactory;
	private final GeneticAlgorithm geneticAlgorithm;

	/**
	 * 

* Constructor for JUnitTestSuiteChromosomeFactory. *

* * @param defaultFactory * a {@link org.evosuite.ga.ChromosomeFactory} object. */ public RandomIndividualTestSuiteChromosomeFactory( ChromosomeFactory defaultFactory, GeneticAlgorithm geneticAlgorithm) { this.defaultFactory = defaultFactory; this.geneticAlgorithm = geneticAlgorithm; } /* * (non-Javadoc) * * @see org.evosuite.ga.ChromosomeFactory#getChromosome() */ /** {@inheritDoc} */ @Override public TestSuiteChromosome getChromosome() { /* * double P_delta = 0.1d; double P_clone = 0.1d; int MAX_CHANGES = 10; */ if (geneticAlgorithm != null && Randomness.nextDouble() < Properties.SEED_PROBABILITY) { int populationSize = geneticAlgorithm.getPopulation().size(); TestSuiteChromosome ri = geneticAlgorithm.getPopulation().get(Randomness.nextInt(populationSize)); if (ri != null){ return ri; } } return defaultFactory.getChromosome(); } }




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