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/*
 * 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;

import org.apache.commons.lang3.Validate;

/**
 * 

* This stores a {@link SimilarityScore} implementation and a {@link CharSequence} "left" string. * The {@link #apply(CharSequence right)} method accepts the "right" string and invokes the * comparison function for the pair of strings. *

* *

* The following is an example which finds the most similar string: *

*
 * SimilarityScore<Integer> similarityScore = new LevenshteinDistance();
 * String target = "Apache";
 * SimilarityScoreFrom<Integer> similarityScoreFrom =
 *     new SimilarityScoreFrom<Integer>(similarityScore, target);
 * String mostSimilar = null;
 * Integer shortestDistance = null;
 *
 * for (String test : new String[] { "Appaloosa", "a patchy", "apple" }) {
 *     Integer distance = similarityScoreFrom.apply(test);
 *     if (shortestDistance == null || distance < shortestDistance) {
 *         shortestDistance = distance;
 *         mostSimilar = test;
 *     }
 * }
 *
 * System.out.println("The string most similar to \"" + target + "\" "
 *     + "is \"" + mostSimilar + "\" because "
 *     + "its distance is only " + shortestDistance + ".");
 * 
* * @param This is the type of similarity score used by the SimilarityScore function. * @since 1.0 */ public class SimilarityScoreFrom { /** * Similarity score. */ private final SimilarityScore similarityScore; /** * Left parameter used in distance function. */ private final CharSequence left; /** *

This accepts the similarity score implementation and the "left" string.

* * @param similarityScore This may not be null. * @param left This may be null here, * but the SimilarityScore#compare(CharSequence left, CharSequence right) * implementation may not accept nulls. */ public SimilarityScoreFrom(final SimilarityScore similarityScore, final CharSequence left) { Validate.isTrue(similarityScore != null, "The edit distance may not be null."); this.similarityScore = similarityScore; this.left = left; } /** *

* This compares "left" field against the "right" parameter * using the "similarity score" implementation. *

* * @param right the second CharSequence * @return the similarity score between two CharSequences */ public R apply(final CharSequence right) { return similarityScore.apply(left, right); } /** * Gets the left parameter. * * @return the left parameter */ public CharSequence getLeft() { return left; } /** * Gets the edit distance. * * @return the edit distance */ public SimilarityScore getSimilarityScore() { return similarityScore; } }




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