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The Apache Commons Collections package contains types that extend and augment the Java Collections Framework.

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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,
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package org.apache.commons.collections4.trie;

import java.util.Map;

import org.apache.commons.collections4.trie.analyzer.StringKeyAnalyzer;

/**
 * Implementation of a PATRICIA Trie (Practical Algorithm to Retrieve Information
 * Coded in Alphanumeric).
 * 

* A PATRICIA {@link Trie} is a compressed {@link Trie}. Instead of storing * all data at the edges of the {@link Trie} (and having empty internal nodes), * PATRICIA stores data in every node. This allows for very efficient traversal, * insert, delete, predecessor, successor, prefix, range, and {@link #select(Object)} * operations. All operations are performed at worst in O(K) time, where K * is the number of bits in the largest item in the tree. In practice, * operations actually take O(A(K)) time, where A(K) is the average number of * bits of all items in the tree. *

* Most importantly, PATRICIA requires very few comparisons to keys while * doing any operation. While performing a lookup, each comparison (at most * K of them, described above) will perform a single bit comparison against * the given key, instead of comparing the entire key to another key. *

* The {@link Trie} can return operations in lexicographical order using the * 'prefixMap', 'submap', or 'iterator' methods. The {@link Trie} can also * scan for items that are 'bitwise' (using an XOR metric) by the 'select' method. * Bitwise closeness is determined by the {@link KeyAnalyzer} returning true or * false for a bit being set or not in a given key. *

* This PATRICIA {@link Trie} supports both variable length & fixed length * keys. Some methods, such as {@link #prefixMap(Object)} are suited only * to variable length keys. * * @see Radix Tree * @see PATRICIA * @see Crit-Bit Tree * @since 4.0 * @version $Id: PatriciaTrie.java 1543928 2013-11-20 20:15:35Z tn $ */ public class PatriciaTrie extends AbstractPatriciaTrie { private static final long serialVersionUID = 4446367780901817838L; public PatriciaTrie() { super(new StringKeyAnalyzer()); } public PatriciaTrie(final Map m) { super(new StringKeyAnalyzer(), m); } }





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