mirror of
https://github.com/plexusorg/Plex-FAWE.git
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274 lines
9.2 KiB
Java
274 lines
9.2 KiB
Java
// $Id$
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/*
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* Copyright (C) 2010 sk89q <http://www.sk89q.com>
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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package com.sk89q.util;
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import java.util.Collection;
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/**
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* String utilities.
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*
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* @author sk89q
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*/
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public class StringUtil {
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/**
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* Trim a string if it is longer than a certain length.
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*
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* @param str
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* @param len
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* @return
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*/
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public static String trimLength(String str, int len) {
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if (str.length() > len) {
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return str.substring(0, len);
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}
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return str;
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}
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/**
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* Join an array of strings into a string.
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*
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* @param str
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* @param delimiter
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* @param initialIndex
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* @return
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*/
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public static String joinString(String[] str, String delimiter,
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int initialIndex) {
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if (str.length == 0) {
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return "";
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}
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StringBuilder buffer = new StringBuilder(str[initialIndex]);
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for (int i = initialIndex + 1; i < str.length; ++i) {
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buffer.append(delimiter).append(str[i]);
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}
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return buffer.toString();
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}
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/**
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* Join an array of strings into a string.
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*
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* @param str
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* @param delimiter
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* @param initialIndex
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* @param quote
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* @return
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*/
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public static String joinQuotedString(String[] str, String delimiter,
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int initialIndex, String quote) {
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if (str.length == 0) {
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return "";
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}
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StringBuilder buffer = new StringBuilder();
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buffer.append(quote);
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buffer.append(str[initialIndex]);
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buffer.append(quote);
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for (int i = initialIndex + 1; i < str.length; ++i) {
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buffer.append(delimiter).append(quote).append(str[i]).append(quote);
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}
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return buffer.toString();
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}
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/**
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* Join an array of strings into a string.
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*
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* @param str
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* @param delimiter
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* @return
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*/
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public static String joinString(String[] str, String delimiter) {
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return joinString(str, delimiter, 0);
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}
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/**
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* Join an array of strings into a string.
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*
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* @param str
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* @param delimiter
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* @param initialIndex
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* @return
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*/
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public static String joinString(Object[] str, String delimiter,
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int initialIndex) {
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if (str.length == 0) {
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return "";
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}
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StringBuilder buffer = new StringBuilder(str[initialIndex].toString());
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for (int i = initialIndex + 1; i < str.length; ++i) {
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buffer.append(delimiter).append(str[i].toString());
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}
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return buffer.toString();
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}
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/**
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* Join an array of strings into a string.
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*
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* @param str
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* @param delimiter
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* @param initialIndex
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* @return
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*/
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public static String joinString(int[] str, String delimiter,
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int initialIndex) {
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if (str.length == 0) {
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return "";
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}
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StringBuilder buffer = new StringBuilder(Integer.toString(str[initialIndex]));
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for (int i = initialIndex + 1; i < str.length; ++i) {
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buffer.append(delimiter).append(Integer.toString(str[i]));
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}
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return buffer.toString();
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}
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/**
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* Join an list of strings into a string.
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*
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* @param str
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* @param delimiter
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* @param initialIndex
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* @return
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*/
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public static String joinString(Collection<?> str, String delimiter,
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int initialIndex) {
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if (str.size() == 0) {
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return "";
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}
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StringBuilder buffer = new StringBuilder();
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int i = 0;
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for (Object o : str) {
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if (i >= initialIndex) {
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if (i > 0) {
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buffer.append(delimiter);
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}
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buffer.append(o.toString());
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}
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++i;
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}
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return buffer.toString();
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}
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/**
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* <p>Find the Levenshtein distance between two Strings.</p>
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*
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* <p>This is the number of changes needed to change one String into
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* another, where each change is a single character modification (deletion,
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* insertion or substitution).</p>
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*
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* <p>The previous implementation of the Levenshtein distance algorithm
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* was from <a href="http://www.merriampark.com/ld.htm">http://www.merriampark.com/ld.htm</a></p>
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*
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* <p>Chas Emerick has written an implementation in Java, which avoids an OutOfMemoryError
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* which can occur when my Java implementation is used with very large strings.<br>
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* This implementation of the Levenshtein distance algorithm
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* is from <a href="http://www.merriampark.com/ldjava.htm">http://www.merriampark.com/ldjava.htm</a></p>
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*
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* <pre>
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* StringUtil.getLevenshteinDistance(null, *) = IllegalArgumentException
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* StringUtil.getLevenshteinDistance(*, null) = IllegalArgumentException
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* StringUtil.getLevenshteinDistance("","") = 0
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* StringUtil.getLevenshteinDistance("","a") = 1
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* StringUtil.getLevenshteinDistance("aaapppp", "") = 7
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* StringUtil.getLevenshteinDistance("frog", "fog") = 1
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* StringUtil.getLevenshteinDistance("fly", "ant") = 3
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* StringUtil.getLevenshteinDistance("elephant", "hippo") = 7
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* StringUtil.getLevenshteinDistance("hippo", "elephant") = 7
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* StringUtil.getLevenshteinDistance("hippo", "zzzzzzzz") = 8
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* StringUtil.getLevenshteinDistance("hello", "hallo") = 1
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* </pre>
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*
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* @param s the first String, must not be null
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* @param t the second String, must not be null
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* @return result distance
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* @throws IllegalArgumentException if either String input <code>null</code>
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*/
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public static int getLevenshteinDistance(String s, String t) {
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if (s == null || t == null) {
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throw new IllegalArgumentException("Strings must not be null");
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}
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/*
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* The difference between this impl. and the previous is that, rather
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* than creating and retaining a matrix of size s.length()+1 by
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* t.length()+1, we maintain two single-dimensional arrays of length
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* s.length()+1. The first, d, is the 'current working' distance array
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* that maintains the newest distance cost counts as we iterate through
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* the characters of String s. Each time we increment the index of
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* String t we are comparing, d is copied to p, the second int[]. Doing
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* so allows us to retain the previous cost counts as required by the
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* algorithm (taking the minimum of the cost count to the left, up one,
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* and diagonally up and to the left of the current cost count being
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* calculated). (Note that the arrays aren't really copied anymore, just
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* switched...this is clearly much better than cloning an array or doing
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* a System.arraycopy() each time through the outer loop.)
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*
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* Effectively, the difference between the two implementations is this
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* one does not cause an out of memory condition when calculating the LD
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* over two very large strings.
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*/
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int n = s.length(); // length of s
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int m = t.length(); // length of t
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if (n == 0) {
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return m;
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} else if (m == 0) {
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return n;
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}
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int p[] = new int[n + 1]; // 'previous' cost array, horizontally
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int d[] = new int[n + 1]; // cost array, horizontally
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int _d[]; // placeholder to assist in swapping p and d
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// indexes into strings s and t
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int i; // iterates through s
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int j; // iterates through t
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char t_j; // jth character of t
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int cost; // cost
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for (i = 0; i <= n; ++i) {
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p[i] = i;
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}
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for (j = 1; j <= m; ++j) {
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t_j = t.charAt(j - 1);
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d[0] = j;
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for (i = 1; i <= n; ++i) {
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cost = s.charAt(i - 1) == t_j ? 0 : 1;
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// minimum of cell to the left+1, to the top+1, diagonally left
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// and up +cost
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d[i] = Math.min(Math.min(d[i - 1] + 1, p[i] + 1), p[i - 1]
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+ cost);
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}
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// copy current distance counts to 'previous row' distance counts
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_d = p;
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p = d;
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d = _d;
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}
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// our last action in the above loop was to switch d and p, so p now
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// actually has the most recent cost counts
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return p[n];
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}
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}
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