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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;
/**
* Interface for <a href="http://en.wikipedia.org/wiki/Edit_distance">Edit Distances</a>.
*
* <p>
* An edit distance is a formal metric on the Kleene closure (<code>X<sup>*</sup></code>) over an
* alphabet (<code>X</code>). Note, that a <a href="https://en.wikipedia.org/wiki/Metric_(mathematics)">metric</a>
* on a set <code>S</code> is a function <code>d: [S * S] -&gt; [0, INFINITY)</code> such
* that the following hold for <code>x,y,z</code> in
* the set <code>S</code>:
* </p>
* <ul>
* <li><code>d(x,y) &gt;= 0</code>, non-negativity or separation axiom</li>
* <li><code>d(x,y) == 0</code>, if and only if, <code>x == y</code></li>
* <li><code>d(x,y) == d(y,x)</code>, symmetry, and</li>
* <li><code>d(x,z) &lt;= d(x,y) + d(y,z)</code>, the triangle inequality</li>
* </ul>
*
*
* <p>
* This is a BiFunction&lt;CharSequence, CharSequence, R&gt;.
* The <code>apply</code> method
* accepts a pair of {@link CharSequence} parameters
* and returns an <code>R</code> type similarity score.
* </p>
*
* @param <R> The type of similarity score unit used by this EditDistance.
* @since 1.0
*/
public interface EditDistance<R> extends SimilarityScore<R> {
/**
* Compares two CharSequences.
*
* @param left the first CharSequence
* @param right the second CharSequence
* @return the similarity score between two CharSequences
*/
@Override
R apply(CharSequence left, CharSequence right);
}