Java tutorial
/* *********************************************************************** * * project: org.matsim.* * AbstractTrajectoryProperty.java * * * *********************************************************************** * * * * copyright : (C) 2011 by the members listed in the COPYING, * * LICENSE and WARRANTY file. * * email : info at matsim dot org * * * * *********************************************************************** * * * * 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 2 of the License, or * * (at your option) any later version. * * See also COPYING, LICENSE and WARRANTY file * * * * *********************************************************************** */ package playground.johannes.coopsim.analysis; import gnu.trove.TObjectDoubleHashMap; import gnu.trove.TObjectDoubleIterator; import java.util.Set; import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; import org.apache.log4j.Logger; import playground.johannes.coopsim.pysical.Trajectory; /** * @author illenberger * */ public abstract class AbstractTrajectoryProperty implements TrajectoryProperty { private static final Logger logger = Logger.getLogger(AbstractTrajectoryProperty.class); public DescriptiveStatistics statistics(Set<? extends Trajectory> trajectories, boolean ignoreZeros) { if (!ignoreZeros) return this.statistics(trajectories); else { TObjectDoubleHashMap<Trajectory> values = values(trajectories); DescriptiveStatistics stats = new DescriptiveStatistics(); int zeros = 0; TObjectDoubleIterator<Trajectory> it = values.iterator(); for (int i = 0; i < values.size(); i++) { it.advance(); if (it.value() > 0) stats.addValue(it.value()); else zeros++; } if (zeros > 0) logger.debug(String.format("Ignored %1$s zero values.", zeros)); return stats; } } @Override public DescriptiveStatistics statistics(Set<? extends Trajectory> trajectories) { TObjectDoubleHashMap<Trajectory> values = values(trajectories); DescriptiveStatistics stats = new DescriptiveStatistics(); TObjectDoubleIterator<Trajectory> it = values.iterator(); for (int i = 0; i < values.size(); i++) { it.advance(); stats.addValue(it.value()); } return stats; } }