Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.tika.eval.tokens; import java.util.Arrays; import org.apache.commons.math3.stat.descriptive.SummaryStatistics; public class TokenStatistics { private final int totalTokens; private final int totalUniqueTokens; private final TokenIntPair[] topN; private final double entropy; private final SummaryStatistics summaryStatistics; public TokenStatistics(int totalUniqueTokens, int totalTokens, TokenIntPair[] topN, double entropy, SummaryStatistics summaryStatistics) { this.totalUniqueTokens = totalUniqueTokens; this.totalTokens = totalTokens; this.topN = topN; this.entropy = entropy; this.summaryStatistics = summaryStatistics; } public int getTotalTokens() { return totalTokens; } public int getTotalUniqueTokens() { return totalUniqueTokens; } public TokenIntPair[] getTopN() { return topN; } public double getEntropy() { return entropy; } public SummaryStatistics getSummaryStatistics() { return summaryStatistics; } @Override public String toString() { return "TokenStatistics{" + "totalTokens=" + totalTokens + ", totalUniqueTokens=" + totalUniqueTokens + ", topN=" + Arrays.toString(topN) + ", entropy=" + entropy + ", summaryStatistics=" + summaryStatistics + '}'; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; TokenStatistics that = (TokenStatistics) o; if (totalTokens != that.totalTokens) return false; if (totalUniqueTokens != that.totalUniqueTokens) return false; if (!doubleEquals(that.entropy, entropy)) return false; // Probably incorrect - comparing Object[] arrays with Arrays.equals if (!Arrays.equals(topN, that.topN)) return false; SummaryStatistics thatS = ((TokenStatistics) o).summaryStatistics; if (summaryStatistics.getN() != thatS.getN()) return false; //if both have n==0, don't bother with the stats if (summaryStatistics.getN() == 0L) return true; //TODO: consider adding others... if (!doubleEquals(summaryStatistics.getGeometricMean(), thatS.getGeometricMean())) return false; if (!doubleEquals(summaryStatistics.getMax(), thatS.getMax())) return false; if (!doubleEquals(summaryStatistics.getMean(), thatS.getMean())) return false; if (!doubleEquals(summaryStatistics.getMin(), thatS.getMin())) return false; if (!doubleEquals(summaryStatistics.getSum(), thatS.getSum())) return false; if (!doubleEquals(summaryStatistics.getStandardDeviation(), thatS.getStandardDeviation())) return false; return true; } @Override public int hashCode() { int result; long temp; result = (int) (totalTokens ^ (totalTokens >>> 32)); result = 31 * result + (int) (totalUniqueTokens ^ (totalUniqueTokens >>> 32)); result = 31 * result + Arrays.hashCode(topN); temp = Double.doubleToLongBits(entropy); result = 31 * result + (int) (temp ^ (temp >>> 32)); result = 31 * result + summaryStatistics.hashCode(); return result; } private static boolean doubleEquals(double a, double b) { return doubleEquals(a, b, 0.000000000001d); } private static boolean doubleEquals(double a, double b, double epsilon) { return a == b ? true : Math.abs(a - b) < epsilon; } }