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Apache Commons Text is a library focused on algorithms working on strings.
/*
* 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;
/**
* Measures the Jaro-Winkler distance of two character sequences.
* It is the complementary of Jaro-Winkler similarity.
*
* @since 1.0
*/
public class JaroWinklerDistance implements EditDistance {
/**
* @deprecated Deprecated as of 1.7. This constant will be removed in 2.0.
*/
@Deprecated
public static final int INDEX_NOT_FOUND = -1;
/**
* This method returns the Jaro-Winkler string matches, half transpositions, prefix array.
*
* @param first the first string to be matched
* @param second the second string to be matched
* @return mtp array containing: matches, half transpositions, and prefix
* @deprecated Deprecated as of 1.7. This method will be removed in 2.0, and moved to a Jaro Winkler similarity
* class. TODO see TEXT-104.
*/
@Deprecated
protected static int[] matches(final CharSequence first, final CharSequence second) {
return JaroWinklerSimilarity.matches(first, second);
}
/**
* Jaro Winkler similarity object used to calculate the distance (1 - similarity).
*/
private final JaroWinklerSimilarity similarity = new JaroWinklerSimilarity();
/**
* Computes the Jaro Winkler Distance between two character sequences.
*
*
* distance.apply(null, null) = IllegalArgumentException
* distance.apply("foo", null) = IllegalArgumentException
* distance.apply(null, "foo") = IllegalArgumentException
* distance.apply("", "") = 0.0
* distance.apply("foo", "foo") = 0.0
* distance.apply("foo", "foo ") = 0.06
* distance.apply("foo", "foo ") = 0.09
* distance.apply("foo", " foo ") = 0.13
* distance.apply("foo", " foo") = 0.49
* distance.apply("", "a") = 1.0
* distance.apply("aaapppp", "") = 1.0
* distance.apply("frog", "fog") = 0.07
* distance.apply("fly", "ant") = 1.0
* distance.apply("elephant", "hippo") = 0.56
* distance.apply("hippo", "elephant") = 0.56
* distance.apply("hippo", "zzzzzzzz") = 1.0
* distance.apply("hello", "hallo") = 0.12
* distance.apply("ABC Corporation", "ABC Corp") = 0.09
* distance.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.05
* distance.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.08
* distance.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.12
*
*
* @param left the first CharSequence, must not be null
* @param right the second CharSequence, must not be null
* @return result distance
* @throws IllegalArgumentException if either CharSequence input is {@code null}
*/
@Override
public Double apply(final CharSequence left, final CharSequence right) {
if (left == null || right == null) {
throw new IllegalArgumentException("CharSequences must not be null");
}
return 1 - similarity.apply(left, right);
}
}