/**
 * Copyright (C) 2010-2017 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 <http://www.gnu.org/licenses/>.
 */
package org.evosuite.testcase;

import org.evosuite.Properties;
import org.evosuite.ga.Chromosome;
import org.evosuite.ga.bloatcontrol.BloatControlFunction;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.ga.metaheuristics.SearchListener;


/**
 * Bloat control that checks an individual against the best test case
 *
 * @author Gordon Fraser
 */
public class RelativeTestLengthBloatControl implements BloatControlFunction, SearchListener {

	private static final long serialVersionUID = -459141492060919204L;

	protected int current_max = 0;

	protected double best_fitness = Double.MAX_VALUE; // FIXXME: Assuming
	                                                  // minimizing fitness!

	/** {@inheritDoc} */
	@Override
	public boolean isTooLong(Chromosome chromosome) {
		// Always accept if fitness is better
		if (chromosome.getFitness() < best_fitness)
			return false;

		// logger.debug("Current - max: "+((TestSuiteChromosome)chromosome).length()+" - "+current_max);
		if (current_max > 0) {
			// if(((TestSuiteChromosome)chromosome).length() > bloat_factor *
			// current_max)
			// logger.debug("Bloat control: "+((TestSuiteChromosome)chromosome).length()
			// +" > "+ bloat_factor * current_max);

			return ((ExecutableChromosome) chromosome).size() > Properties.BLOAT_FACTOR
			        * current_max;
		} else
			return false; // Don't know max length so can't reject!
	}

	/** {@inheritDoc} */
	@Override
	public void fitnessEvaluation(Chromosome result) {
		// TODO Auto-generated method stub

	}

	/** {@inheritDoc} */
	@Override
	public void iteration(GeneticAlgorithm<?> algorithm) {
		current_max = ((ExecutableChromosome) algorithm.getBestIndividual()).size();
		best_fitness = algorithm.getBestIndividual().getFitness();
	}

	/** {@inheritDoc} */
	@Override
	public void searchFinished(GeneticAlgorithm<?> algorithm) {
		// TODO Auto-generated method stub

	}

	/** {@inheritDoc} */
	@Override
	public void searchStarted(GeneticAlgorithm<?> algorithm) {
		// TODO Auto-generated method stub

	}

	/** {@inheritDoc} */
	@Override
	public void modification(Chromosome individual) {
		// TODO Auto-generated method stub

	}
}