Lucene.Net
3.0.3
Lucene.Net is a port of the Lucene search engine library, written in C# and targeted at .NET runtime users.
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Hyphenation
TernaryTree.cs
Go to the documentation of this file.
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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//using System;
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//using System.Collections;
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//using System.Text;
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//namespace Lucene.Net.Analysis.Compound.Hyphenation
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//{
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// /*
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// * <h2>Ternary Search Tree.</h2>
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// *
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// * <p>
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// * A ternary search tree is a hybrid between a binary tree and a digital search
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// * tree (trie). Keys are limited to strings. A data value of type char is stored
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// * in each leaf node. It can be used as an index (or pointer) to the data.
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// * Branches that only contain one key are compressed to one node by storing a
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// * pointer to the trailer substring of the key. This class is intended to serve
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// * as base class or helper class to implement Dictionary collections or the
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// * like. Ternary trees have some nice properties as the following: the tree can
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// * be traversed in sorted order, partial matches (wildcard) can be implemented,
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// * retrieval of all keys within a given distance from the target, etc. The
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// * storage requirements are higher than a binary tree but a lot less than a
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// * trie. Performance is comparable with a hash table, sometimes it outperforms a
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// * hash function (most of the time can determine a miss faster than a hash).
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// * </p>
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// *
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// * <p>
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// * The main purpose of this java port is to serve as a base for implementing
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// * TeX's hyphenation algorithm (see The TeXBook, appendix H). Each language
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// * requires from 5000 to 15000 hyphenation patterns which will be keys in this
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// * tree. The strings patterns are usually small (from 2 to 5 characters), but
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// * each char in the tree is stored in a node. Thus memory usage is the main
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// * concern. We will sacrifice 'elegance' to keep memory requirements to the
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// * minimum. Using java's char type as pointer (yes, I know pointer it is a
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// * forbidden word in java) we can keep the size of the node to be just 8 bytes
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// * (3 pointers and the data char). This gives room for about 65000 nodes. In my
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// * tests the english patterns took 7694 nodes and the german patterns 10055
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// * nodes, so I think we are safe.
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// * </p>
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// *
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// * <p>
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// * All said, this is a map with strings as keys and char as value. Pretty
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// * limited!. It can be extended to a general map by using the string
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// * representation of an object and using the char value as an index to an array
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// * that contains the object values.
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// * </p>
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// *
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// * This class has been taken from the Apache FOP project (http://xmlgraphics.apache.org/fop/). They have been slightly modified.
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// */
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// [Serializable]
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// public class TernaryTree : ICloneable
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// {
68
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// /*
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// * We use 4 arrays to represent a node. I guess I should have created a proper
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// * node class, but somehow Knuth's pascal code made me forget we now have a
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// * portable language with virtual memory management and automatic garbage
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// * collection! And now is kind of late, furthermore, if it ain't broken, don't
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// * fix it.
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// */
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// /*
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// * Pointer to low branch and to rest of the key when it is stored directly in
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// * this node, we don't have unions in java!
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// */
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// protected char[] lo;
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// /*
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// * Pointer to high branch.
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// */
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// protected char[] hi;
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// /*
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// * Pointer to equal branch and to data when this node is a string terminator.
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// */
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// protected char[] eq;
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// /*
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// * <P>
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// * The character stored in this node: splitchar. Two special values are
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// * reserved:
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// * </P>
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// * <ul>
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// * <li>0x0000 as string terminator</li>
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// * <li>0xFFFF to indicate that the branch starting at this node is compressed</li>
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// * </ul>
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// * <p>
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// * This shouldn't be a problem if we give the usual semantics to strings since
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// * 0xFFFF is guaranteed not to be an Unicode character.
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// * </p>
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// */
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// protected char[] sc;
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// /*
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// * This vector holds the trailing of the keys when the branch is compressed.
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// */
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// protected CharVector kv;
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// protected char root;
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// protected char freenode;
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// protected int length; // number of items in tree
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// protected static readonly int BLOCK_SIZE = 2048; // allocation size for arrays
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// private TernaryTree()
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// {
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// Init();
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// }
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// protected void Init()
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// {
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// root = (char)0;
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// freenode = (char)1;
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// length = 0;
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// lo = new char[BLOCK_SIZE];
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// hi = new char[BLOCK_SIZE];
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// eq = new char[BLOCK_SIZE];
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// sc = new char[BLOCK_SIZE];
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// kv = new CharVector();
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// }
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// /*
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// * Branches are initially compressed, needing one node per key plus the size
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// * of the string key. They are decompressed as needed when another key with
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// * same prefix is inserted. This saves a lot of space, specially for long
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// * keys.
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// */
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// public void insert(String key, char val)
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// {
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// // make sure we have enough room in the arrays
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// int len = key.Length + 1; // maximum number of nodes that may be generated
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// if (freenode + len > eq.Length)
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// {
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// redimNodeArrays(eq.Length + BLOCK_SIZE);
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// }
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// char[] strkey = new char[len--];
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// key.GetChars(0, len, strkey, 0);
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// strkey[len] = (char)0;
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// root = insert(root, strkey, 0, val);
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// }
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// public void insert(char[] key, int start, char val)
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// {
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// int len = strlen(key) + 1;
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// if (freenode + len > eq.Length)
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// {
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// redimNodeArrays(eq.Length + BLOCK_SIZE);
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// }
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// root = insert(root, key, start, val);
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// }
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// /*
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// * The actual insertion function, recursive version.
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// */
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// private char insert(char p, char[] key, int start, char val)
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// {
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// int len = strlen(key, start);
175
// if (p == 0)
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// {
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// // this means there is no branch, this node will start a new branch.
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// // Instead of doing that, we store the key somewhere else and create
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// // only one node with a pointer to the key
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// p = freenode++;
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// eq[p] = val; // holds data
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// length++;
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// hi[p] = (char)0;
184
// if (len > 0)
185
// {
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// sc[p] = (char)0xFFFF; // indicates branch is compressed
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// lo[p] = (char)kv.Alloc(len + 1); // use 'lo' to hold pointer to key
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// strcpy(kv.GetArray(), lo[p], key, start);
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// }
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// else
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// {
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// sc[p] = (char)0;
193
// lo[p] = (char)0;
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// }
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// return p;
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// }
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// if (sc[p] == 0xFFFF)
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// {
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// // branch is compressed: need to decompress
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// // this will generate garbage in the external key array
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// // but we can do some garbage collection later
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// char pp = freenode++;
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// lo[pp] = lo[p]; // previous pointer to key
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// eq[pp] = eq[p]; // previous pointer to data
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// lo[p] = (char)0;
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// if (len > 0)
208
// {
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// sc[p] = kv.Get(lo[pp]);
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// eq[p] = pp;
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// lo[pp]++;
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// if (kv.Get(lo[pp]) == 0)
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// {
214
// // key completly decompressed leaving garbage in key array
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// lo[pp] = (char)0;
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// sc[pp] = (char)0;
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// hi[pp] = (char)0;
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// }
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// else
220
// {
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// // we only got first char of key, rest is still there
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// sc[pp] = (char)0xFFFF;
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// }
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// }
225
// else
226
// {
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// // In this case we can save a node by swapping the new node
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// // with the compressed node
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// sc[pp] = (char)0xFFFF;
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// hi[p] = pp;
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// sc[p] = (char)0;
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// eq[p] = val;
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// length++;
234
// return p;
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// }
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// }
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// char s = key[start];
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// if (s < sc[p])
239
// {
240
// lo[p] = insert(lo[p], key, start, val);
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// }
242
// else if (s == sc[p])
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// {
244
// if (s != 0)
245
// {
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// eq[p] = insert(eq[p], key, start + 1, val);
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// }
248
// else
249
// {
250
// // key already in tree, overwrite data
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// eq[p] = val;
252
// }
253
// }
254
// else
255
// {
256
// hi[p] = insert(hi[p], key, start, val);
257
// }
258
// return p;
259
// }
260
261
// /*
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// * Compares 2 null terminated char arrays
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// */
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// public static int strcmp(char[] a, int startA, char[] b, int startB)
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// {
266
// for (; a[startA] == b[startB]; startA++, startB++)
267
// {
268
// if (a[startA] == 0)
269
// {
270
// return 0;
271
// }
272
// }
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// return a[startA] - b[startB];
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// }
275
276
// /*
277
// * Compares a string with null terminated char array
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// */
279
// public static int strcmp(String str, char[] a, int start)
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// {
281
// int i, d, len = str.Length;
282
// for (i = 0; i < len; i++)
283
// {
284
// d = (int)str[i] - a[start + i];
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// if (d != 0)
286
// {
287
// return d;
288
// }
289
// if (a[start + i] == 0)
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// {
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// return d;
292
// }
293
// }
294
// if (a[start + i] != 0)
295
// {
296
// return (int)-a[start + i];
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// }
298
// return 0;
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300
// }
301
302
// public static void strcpy(char[] dst, int di, char[] src, int si)
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// {
304
// while (src[si] != 0)
305
// {
306
// dst[di++] = src[si++];
307
// }
308
// dst[di] = (char)0;
309
// }
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311
// public static int strlen(char[] a, int start)
312
// {
313
// int len = 0;
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// for (int i = start; i < a.Length && a[i] != 0; i++)
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// {
316
// len++;
317
// }
318
// return len;
319
// }
320
321
// public static int strlen(char[] a)
322
// {
323
// return strlen(a, 0);
324
// }
325
326
// public int find(String key)
327
// {
328
// int len = key.Length;
329
// char[] strkey = new char[len + 1];
330
// key.GetChars(0, len, strkey, 0);
331
// strkey[len] = (char)0;
332
333
// return find(strkey, 0);
334
// }
335
336
// public int find(char[] key, int start)
337
// {
338
// int d;
339
// char p = root;
340
// int i = start;
341
// char c;
342
343
// while (p != 0)
344
// {
345
// if (sc[p] == 0xFFFF)
346
// {
347
// if (strcmp(key, i, kv.GetArray(), lo[p]) == 0)
348
// {
349
// return eq[p];
350
// }
351
// else
352
// {
353
// return -1;
354
// }
355
// }
356
// c = key[i];
357
// d = c - sc[p];
358
// if (d == 0)
359
// {
360
// if (c == 0)
361
// {
362
// return eq[p];
363
// }
364
// i++;
365
// p = eq[p];
366
// }
367
// else if (d < 0)
368
// {
369
// p = lo[p];
370
// }
371
// else
372
// {
373
// p = hi[p];
374
// }
375
// }
376
// return -1;
377
// }
378
379
// public bool knows(String key)
380
// {
381
// return (find(key) >= 0);
382
// }
383
384
// // redimension the arrays
385
// private void redimNodeArrays(int newsize)
386
// {
387
// int len = newsize < lo.Length ? newsize : lo.Length;
388
// char[] na = new char[newsize];
389
// Array.Copy(lo, 0, na, 0, len);
390
// lo = na;
391
// na = new char[newsize];
392
// Array.Copy(hi, 0, na, 0, len);
393
// hi = na;
394
// na = new char[newsize];
395
// Array.Copy(eq, 0, na, 0, len);
396
// eq = na;
397
// na = new char[newsize];
398
// Array.Copy(sc, 0, na, 0, len);
399
// sc = na;
400
// }
401
402
// public int size()
403
// {
404
// return length;
405
// }
406
407
// public Object clone()
408
// {
409
// TernaryTree t = new TernaryTree();
410
// t.lo = (char[])this.lo.Clone();
411
// t.hi = (char[])this.hi.Clone();
412
// t.eq = (char[])this.eq.Clone();
413
// t.sc = (char[])this.sc.Clone();
414
// t.kv = (CharVector)this.kv.Clone();
415
// t.root = this.root;
416
// t.freenode = this.freenode;
417
// t.length = this.length;
418
419
// return t;
420
// }
421
422
// /*
423
// * Recursively insert the median first and then the median of the lower and
424
// * upper halves, and so on in order to get a balanced tree. The array of keys
425
// * is assumed to be sorted in ascending order.
426
// */
427
// protected void insertBalanced(String[] k, char[] v, int offset, int n)
428
// {
429
// int m;
430
// if (n < 1)
431
// {
432
// return;
433
// }
434
// m = n >> 1;
435
436
// insert(k[m + offset], v[m + offset]);
437
// insertBalanced(k, v, offset, m);
438
439
// insertBalanced(k, v, offset + m + 1, n - m - 1);
440
// }
441
442
// /*
443
// * Balance the tree for best search performance
444
// */
445
// public void balance()
446
// {
447
// // System.out.print("Before root splitchar = ");
448
// // System.out.println(sc[root]);
449
450
// int i = 0, n = length;
451
// String[] k = new String[n];
452
// char[] v = new char[n];
453
// Iterator iter = new Iterator();
454
// while (iter.HasMoreElements())
455
// {
456
// v[i] = iter.getValue();
457
// k[i++] = (String)iter.nextElement();
458
// }
459
// Init();
460
// insertBalanced(k, v, 0, n);
461
462
// // With uniform letter distribution sc[root] should be around 'm'
463
// // System.out.print("After root splitchar = ");
464
// // System.out.println(sc[root]);
465
// }
466
467
// /*
468
// * Each node stores a character (splitchar) which is part of some key(s). In a
469
// * compressed branch (one that only contain a single string key) the trailer
470
// * of the key which is not already in nodes is stored externally in the kv
471
// * array. As items are inserted, key substrings decrease. Some substrings may
472
// * completely disappear when the whole branch is totally decompressed. The
473
// * tree is traversed to find the key substrings actually used. In addition,
474
// * duplicate substrings are removed using a map (implemented with a
475
// * TernaryTree!).
476
// *
477
// */
478
// public void trimToSize()
479
// {
480
// // first balance the tree for best performance
481
// balance();
482
483
// // redimension the node arrays
484
// redimNodeArrays(freenode);
485
486
// // ok, compact kv array
487
// CharVector kx = new CharVector();
488
// kx.Alloc(1);
489
// TernaryTree map = new TernaryTree();
490
// compact(kx, map, root);
491
// kv = kx;
492
// kv.TrimToSize();
493
// }
494
495
// private void compact(CharVector kx, TernaryTree map, char p)
496
// {
497
// int k;
498
// if (p == 0)
499
// {
500
// return;
501
// }
502
// if (sc[p] == 0xFFFF)
503
// {
504
// k = map.find(kv.GetArray(), lo[p]);
505
// if (k < 0)
506
// {
507
// k = kx.Alloc(strlen(kv.GetArray(), lo[p]) + 1);
508
// strcpy(kx.GetArray(), k, kv.GetArray(), lo[p]);
509
// map.insert(kx.GetArray(), k, (char)k);
510
// }
511
// lo[p] = (char)k;
512
// }
513
// else
514
// {
515
// compact(kx, map, lo[p]);
516
// if (sc[p] != 0)
517
// {
518
// compact(kx, map, eq[p]);
519
// }
520
// compact(kx, map, hi[p]);
521
// }
522
// }
523
524
// public IEnumerator keys()
525
// {
526
// return new Iterator();
527
// }
528
529
// public class Iterator : IEnumerator
530
// {
531
532
// /*
533
// * current node index
534
// */
535
// int cur;
536
537
// /*
538
// * current key
539
// */
540
// String curkey;
541
542
// private class Item : ICloneable
543
// {
544
// char parent;
545
546
// char child;
547
548
// public Item()
549
// {
550
// parent = (char)0;
551
// child = (char)0;
552
// }
553
554
// public Item(char p, char c)
555
// {
556
// parent = p;
557
// child = c;
558
// }
559
560
// public Object Clone()
561
// {
562
// return new Item(parent, child);
563
// }
564
565
// }
566
567
// /*
568
// * Node stack
569
// */
570
// Stack ns;
571
572
// /*
573
// * key stack implemented with a StringBuilder
574
// */
575
// StringBuilder ks;
576
577
// public Iterator()
578
// {
579
// cur = -1;
580
// ns = new Stack();
581
// ks = new StringBuilder();
582
// rewind();
583
// }
584
585
// public void rewind()
586
// {
587
// ns.Clear();
588
// ks.SetLength(0);
589
// cur = root;
590
// Run();
591
// }
592
593
// public Object nextElement()
594
// {
595
// String res = curkey;
596
// cur = up();
597
// Run();
598
// return res;
599
// }
600
601
// public char getValue()
602
// {
603
// if (cur >= 0)
604
// {
605
// return eq[cur];
606
// }
607
// return 0;
608
// }
609
610
// public bool hasMoreElements()
611
// {
612
// return (cur != -1);
613
// }
614
615
// /*
616
// * traverse upwards
617
// */
618
// private int up()
619
// {
620
// Item i = new Item();
621
// int res = 0;
622
623
// if (ns.Empty())
624
// {
625
// return -1;
626
// }
627
628
// if (cur != 0 && sc[cur] == 0)
629
// {
630
// return lo[cur];
631
// }
632
633
// bool climb = true;
634
635
// while (climb)
636
// {
637
// i = (Item)ns.Pop();
638
// i.child++;
639
// switch (i.child)
640
// {
641
// case 1:
642
// if (sc[i.parent] != 0)
643
// {
644
// res = eq[i.parent];
645
// ns.Push(i.Clone());
646
// ks.Append(sc[i.parent]);
647
// }
648
// else
649
// {
650
// i.child++;
651
// ns.Push(i.Clone());
652
// res = hi[i.parent];
653
// }
654
// climb = false;
655
// break;
656
657
// case 2:
658
// res = hi[i.parent];
659
// ns.Push(i.Clone());
660
// if (ks.Length() > 0)
661
// {
662
// ks.SetLength(ks.Length() - 1); // pop
663
// }
664
// climb = false;
665
// break;
666
667
// default:
668
// if (ns.Clear())
669
// {
670
// return -1;
671
// }
672
// climb = true;
673
// break;
674
// }
675
// }
676
// return res;
677
// }
678
679
// /*
680
// * traverse the tree to find next key
681
// */
682
// private int Run()
683
// {
684
// if (cur == -1)
685
// {
686
// return -1;
687
// }
688
689
// bool leaf = false;
690
// while (true)
691
// {
692
// // first go down on low branch until leaf or compressed branch
693
// while (cur != 0)
694
// {
695
// if (sc[cur] == 0xFFFF)
696
// {
697
// leaf = true;
698
// break;
699
// }
700
// ns.Push(new Item((char)cur, '\u0000'));
701
// if (sc[cur] == 0)
702
// {
703
// leaf = true;
704
// break;
705
// }
706
// cur = lo[cur];
707
// }
708
// if (leaf)
709
// {
710
// break;
711
// }
712
// // nothing found, go up one node and try again
713
// cur = up();
714
// if (cur == -1)
715
// {
716
// return -1;
717
// }
718
// }
719
// // The current node should be a data node and
720
// // the key should be in the key stack (at least partially)
721
// StringBuilder buf = new StringBuilder(ks.ToString());
722
// if (sc[cur] == 0xFFFF)
723
// {
724
// int p = lo[cur];
725
// while (kv.Get(p) != 0)
726
// {
727
// buf.Append(kv.Get(p++));
728
// }
729
// }
730
// curkey = buf.ToString();
731
// return 0;
732
// }
733
734
// }
735
736
// public void PrintStats()
737
// {
738
// Console.WriteLine("Number of keys = " + length);
739
// Console.WriteLine("Node count = " + freenode);
740
// // System.out.println("Array length = " + Integer.toString(eq.length));
741
// Console.WriteLine("Key Array length = " + kv.Length());
742
743
// /*
744
// * for(int i=0; i<kv.length(); i++) if ( kv.get(i) != 0 )
745
// * System.out.print(kv.get(i)); else System.out.println("");
746
// * System.out.println("Keys:"); for(Enumeration enum = keys();
747
// * enum.hasMoreElements(); ) System.out.println(enum.nextElement());
748
// */
749
750
// }
751
752
// public static void Main(String[] args)
753
// {
754
// TernaryTree tt = new TernaryTree();
755
// tt.insert("Carlos", 'C');
756
// tt.insert("Car", 'r');
757
// tt.insert("palos", 'l');
758
// tt.insert("pa", 'p');
759
// tt.trimToSize();
760
// Console.WriteLine((char)tt.find("Car"));
761
// Console.WriteLine((char)tt.find("Carlos"));
762
// Console.WriteLine((char)tt.find("alto"));
763
// tt.PrintStats();
764
// }
765
// }
766
//}
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