Java tutorial
/* Copyright 2014 Jakub Naplava 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 cz.cuni.mff.d3s.tools.perfdoc.server.measuring.statistics; import java.util.ArrayList; import java.util.List; import java.util.Objects; import java.util.logging.Level; import java.util.logging.Logger; import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics; /** * * @author Jakub Naplava */ public final class Statistics { private static final Logger log = Logger.getLogger(Statistics.class.getName()); private final List<Long> measurementResults = new ArrayList<>(); public Statistics() { log.log(Level.CONFIG, "New instance of Statistics created."); } /** * Creates new instance of Statistics containing values from the given * parameter. The parameter is in format: {value1, ..., valueN} - as stored * in database * * @param values */ public Statistics(String values) { String[] items = values.substring(1, values.length() - 1).split(","); for (String item : items) { try { long value = Long.parseLong(item); addResult(value); } catch (NumberFormatException e) { log.log(Level.WARNING, "There was a not-long number passed to Statistics."); } } } public void addResult(long result) { measurementResults.add(result); } public long computeMean() { if (measurementResults.isEmpty()) { return -1; } DescriptiveStatistics stats = new DescriptiveStatistics(); for (Long l : measurementResults) { stats.addValue(l); } return (long) stats.getPercentile(50); } public long computeMedian() { if (measurementResults.isEmpty()) { return -1; } DescriptiveStatistics stats = new DescriptiveStatistics(); for (Long l : measurementResults) { stats.addValue(l); } return (long) stats.getMean(); } public int getNumberOfMeasurements() { return measurementResults.size(); } public boolean isEmpty() { return measurementResults.isEmpty(); } /** * Returns all values from the Statistics. * * @return */ public Long[] getValues() { return measurementResults.toArray(new Long[measurementResults.size()]); } /** * * * @return String representation of Statistic results in format: {result1, * ..., resultN} */ @Override public String toString() { if (measurementResults.isEmpty()) { return "{}"; } StringBuilder sb = new StringBuilder(); sb.append("{"); sb.append(measurementResults.get(0)); for (int i = 1; i < measurementResults.size(); i++) { sb.append(",").append(measurementResults.get(i)); } sb.append("}"); return sb.toString(); } @Override public int hashCode() { int hash = 3; hash = 53 * hash + Objects.hashCode(this.measurementResults); return hash; } @Override public boolean equals(Object o) { if (o == this) { return true; } if (!(o instanceof Statistics)) { return false; } Statistics s = (Statistics) o; return s.measurementResults.equals(this.measurementResults); } }