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    Class TernaryTree

    Ternary Search Tree.

    A ternary search tree is a hybrid between a binary tree and a digital search tree (trie). Keys are limited to strings. A data value of type char is stored in each leaf node. It can be used as an index (or pointer) to the data. Branches that only contain one key are compressed to one node by storing a pointer to the trailer substring of the key. This class is intended to serve as base class or helper class to implement Dictionary collections or the like. Ternary trees have some nice properties as the following: the tree can be traversed in sorted order, partial matches (wildcard) can be implemented, retrieval of all keys within a given distance from the target, etc. The storage requirements are higher than a binary tree but a lot less than a trie. Performance is comparable with a hash table, sometimes it outperforms a hash function (most of the time can determine a miss faster than a hash).

    The main purpose of this java port is to serve as a base for implementing TeX's hyphenation algorithm (see The TeXBook, appendix H). Each language requires from 5000 to 15000 hyphenation patterns which will be keys in this tree. The strings patterns are usually small (from 2 to 5 characters), but each char in the tree is stored in a node. Thus memory usage is the main concern. We will sacrifice 'elegance' to keep memory requirements to the minimum. Using java's char type as pointer (yes, I know pointer it is a forbidden word in java) we can keep the size of the node to be just 8 bytes (3 pointers and the data char). This gives room for about 65000 nodes. In my tests the english patterns took 7694 nodes and the german patterns 10055 nodes, so I think we are safe.

    All said, this is a map with strings as keys and char as value. Pretty limited!. It can be extended to a general map by using the string representation of an object and using the char value as an index to an array that contains the object values.

    This class has been taken from the Apache FOP project (http://xmlgraphics.apache.org/fop/). They have been slightly modified.

    Inheritance
    System.Object
    TernaryTree
    HyphenationTree
    Namespace: Lucene.Net.Analysis.Compound.Hyphenation
    Assembly: Lucene.Net.Analysis.Common.dll
    Syntax
    public class TernaryTree : object

    Fields

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    BLOCK_SIZE

    Declaration
    protected const int BLOCK_SIZE = null
    Field Value
    Type Description
    System.Int32
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    m_eq

    Pointer to equal branch and to data when this node is a string terminator.

    Declaration
    protected char[] m_eq
    Field Value
    Type Description
    System.Char[]
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    m_freenode

    Declaration
    protected char m_freenode
    Field Value
    Type Description
    System.Char
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    m_hi

    Pointer to high branch.

    Declaration
    protected char[] m_hi
    Field Value
    Type Description
    System.Char[]
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    m_kv

    This vector holds the trailing of the keys when the branch is compressed.

    Declaration
    protected CharVector m_kv
    Field Value
    Type Description
    CharVector
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    m_length

    Declaration
    protected int m_length
    Field Value
    Type Description
    System.Int32
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    m_lo

    Pointer to low branch and to rest of the key when it is stored directly in this node, we don't have unions in java!

    Declaration
    protected char[] m_lo
    Field Value
    Type Description
    System.Char[]
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    m_root

    Declaration
    protected char m_root
    Field Value
    Type Description
    System.Char
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    m_sc

    The character stored in this node: splitchar. Two special values are reserved:

    • 0x0000 as string terminator
    • 0xFFFF to indicate that the branch starting at this node is compressed

    This shouldn't be a problem if we give the usual semantics to strings since 0xFFFF is guaranteed not to be an Unicode character.

    Declaration
    protected char[] m_sc
    Field Value
    Type Description
    System.Char[]

    Properties

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    Length

    Declaration
    public virtual int Length { get; }
    Property Value
    Type Description
    System.Int32

    Methods

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    Balance()

    Balance the tree for best search performance

    Declaration
    public virtual void Balance()
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    Clone()

    Declaration
    public virtual object Clone()
    Returns
    Type Description
    System.Object
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    Find(Char[], Int32)

    Declaration
    public virtual int Find(char[] key, int start)
    Parameters
    Type Name Description
    System.Char[] key
    System.Int32 start
    Returns
    Type Description
    System.Int32
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    Find(String)

    Declaration
    public virtual int Find(string key)
    Parameters
    Type Name Description
    System.String key
    Returns
    Type Description
    System.Int32
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    Init()

    Declaration
    protected virtual void Init()
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    Insert(Char[], Int32, Char)

    Declaration
    public virtual void Insert(char[] key, int start, char val)
    Parameters
    Type Name Description
    System.Char[] key
    System.Int32 start
    System.Char val
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    Insert(String, Char)

    Branches are initially compressed, needing one node per key plus the size of the string key. They are decompressed as needed when another key with same prefix is inserted. This saves a lot of space, specially for long keys.

    Declaration
    public virtual void Insert(string key, char val)
    Parameters
    Type Name Description
    System.String key
    System.Char val
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    InsertBalanced(String[], Char[], Int32, Int32)

    Recursively insert the median first and then the median of the lower and upper halves, and so on in order to get a balanced tree. The array of keys is assumed to be sorted in ascending order.

    Declaration
    protected virtual void InsertBalanced(string[] k, char[] v, int offset, int n)
    Parameters
    Type Name Description
    System.String[] k
    System.Char[] v
    System.Int32 offset
    System.Int32 n
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    Keys()

    Declaration
    public virtual IEnumerator<string> Keys()
    Returns
    Type Description
    IEnumerator<System.String>
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    Knows(String)

    Declaration
    public virtual bool Knows(string key)
    Parameters
    Type Name Description
    System.String key
    Returns
    Type Description
    System.Boolean
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    PrintStats(TextWriter)

    Declaration
    public virtual void PrintStats(TextWriter out)
    Parameters
    Type Name Description
    TextWriter out
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    StrCmp(Char[], Int32, Char[], Int32)

    Compares 2 null terminated char arrays

    Declaration
    public static int StrCmp(char[] a, int startA, char[] b, int startB)
    Parameters
    Type Name Description
    System.Char[] a
    System.Int32 startA
    System.Char[] b
    System.Int32 startB
    Returns
    Type Description
    System.Int32
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    StrCmp(String, Char[], Int32)

    Compares a string with null terminated char array

    Declaration
    public static int StrCmp(string str, char[] a, int start)
    Parameters
    Type Name Description
    System.String str
    System.Char[] a
    System.Int32 start
    Returns
    Type Description
    System.Int32
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    StrCpy(Char[], Int32, Char[], Int32)

    Declaration
    public static void StrCpy(char[] dst, int di, char[] src, int si)
    Parameters
    Type Name Description
    System.Char[] dst
    System.Int32 di
    System.Char[] src
    System.Int32 si
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    StrLen(Char[])

    Declaration
    public static int StrLen(char[] a)
    Parameters
    Type Name Description
    System.Char[] a
    Returns
    Type Description
    System.Int32
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    StrLen(Char[], Int32)

    Declaration
    public static int StrLen(char[] a, int start)
    Parameters
    Type Name Description
    System.Char[] a
    System.Int32 start
    Returns
    Type Description
    System.Int32
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    TrimToSize()

    Each node stores a character (splitchar) which is part of some key(s). In a compressed branch (one that only contain a single string key) the trailer of the key which is not already in nodes is stored externally in the kv array. As items are inserted, key substrings decrease. Some substrings may completely disappear when the whole branch is totally decompressed. The tree is traversed to find the key substrings actually used. In addition, duplicate substrings are removed using a map (implemented with a TernaryTree!).

    Declaration
    public virtual void TrimToSize()
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