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.commons.text.similarity; /** * Interface for the concept of a string similarity score. * * <p> * A string similarity score is intended to have <i>some</i> of the properties of a metric, yet * allowing for exceptions, namely the Jaro-Winkler similarity score. * </p> * <p> * We Define a SimilarityScore to be a function <code>d: [X * X] -> [0, INFINITY)</code> with the * following properties: * </p> * <ul> * <li><code>d(x,y) >= 0</code>, non-negativity or separation axiom</li> * <li><code>d(x,y) == d(y,x)</code>, symmetry.</li> * </ul> * * <p> * Notice, these are two of the properties that contribute to d being a metric. * </p> * * * <p> * Further, this intended to be BiFunction<CharSequence, CharSequence, R>. * The <code>apply</code> method * accepts a pair of {@link CharSequence} parameters * and returns an <code>R</code> type similarity score. We have ommitted the explicit * statement of extending BiFunction due to it only being implemented in Java 1.8, and we * wish to maintain Java 1.7 compatibility. * </p> * * @param <R> The type of similarity score unit used by this EditDistance. * @since 1.0 */ public interface SimilarityScore<R> { /** * Compares two CharSequences. * * @param left the first CharSequence * @param right the second CharSequence * @return the similarity score between two CharSequences */ R apply(CharSequence left, CharSequence right); }