fop 2.3

org.apache.fop.hyphenation
Class TernaryTree

java.lang.Object
  extended by org.apache.fop.hyphenation.TernaryTree
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable
Direct Known Subclasses:
HyphenationTree

public class TernaryTree
extends java.lang.Object
implements java.lang.Cloneable, java.io.Serializable

Ternary Search Tree.

A ternary search tree is a hibrid 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 sacrify '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 work was authored by Carlos Villegas ([email protected]).

See Also:
Serialized Form

Nested Class Summary
 class TernaryTree.Iterator
          an iterator
 
Field Summary
protected static int BLOCK_SIZE
          allocation size for arrays
protected  char[] eq
          Pointer to equal branch and to data when this node is a string terminator.
protected  char freenode
          free node
protected  char[] hi
          Pointer to high branch.
protected  CharVector kv
          This vector holds the trailing of the keys when the branch is compressed.
protected  int length
          number of items in tree
protected  char[] 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!
protected  char root
          root
protected  char[] sc
          The character stored in this node: splitchar.
 
Method Summary
 void balance()
          Balance the tree for best search performance
 java.lang.Object clone()
          
 int find(char[] key, int start)
          Find key.
 int find(java.lang.String key)
          Find key.
protected  void init()
          initialize
 void insert(char[] key, int start, char val)
          Insert key.
 void insert(java.lang.String key, char val)
          Branches are initially compressed, needing one node per key plus the size of the string key.
protected  void insertBalanced(java.lang.String[] k, char[] v, int offset, int n)
          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.
 java.util.Enumeration keys()
           
 boolean knows(java.lang.String key)
           
static void main(java.lang.String[] args)
          Main entry point for testing.
 void printStats()
          Print stats (for testing).
 int size()
           
static int strcmp(char[] a, int startA, char[] b, int startB)
          Compares 2 null terminated char arrays
static int strcmp(java.lang.String str, char[] a, int start)
          Compares a string with null terminated char array
static void strcpy(char[] dst, int di, char[] src, int si)
           
static int strlen(char[] a)
           
static int strlen(char[] a, int start)
           
 void trimToSize()
          Each node stores a character (splitchar) which is part of some key(s).
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

lo

protected char[] 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!


hi

protected char[] hi
Pointer to high branch.


eq

protected char[] eq
Pointer to equal branch and to data when this node is a string terminator.


sc

protected char[] sc

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

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


kv

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


root

protected char root
root


freenode

protected char freenode
free node


length

protected int length
number of items in tree


BLOCK_SIZE

protected static final int BLOCK_SIZE
allocation size for arrays

See Also:
Constant Field Values
Method Detail

init

protected void init()
initialize


insert

public void insert(java.lang.String key,
                   char val)
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.

Parameters:
key - the key
val - a value

insert

public void insert(char[] key,
                   int start,
                   char val)
Insert key.

Parameters:
key - the key
start - offset into key array
val - a value

strcmp

public static int strcmp(char[] a,
                         int startA,
                         char[] b,
                         int startB)
Compares 2 null terminated char arrays

Parameters:
a - a character array
startA - an index into character array
b - a character array
startB - an index into character array
Returns:
an integer

strcmp

public static int strcmp(java.lang.String str,
                         char[] a,
                         int start)
Compares a string with null terminated char array

Parameters:
str - a string
a - a character array
start - an index into character array
Returns:
an integer

strcpy

public static void strcpy(char[] dst,
                          int di,
                          char[] src,
                          int si)
Parameters:
dst - a character array
di - an index into character array
src - a character array
si - an index into character array

strlen

public static int strlen(char[] a,
                         int start)
Parameters:
a - a character array
start - an index into character array
Returns:
an integer

strlen

public static int strlen(char[] a)
Parameters:
a - a character array
Returns:
an integer

find

public int find(java.lang.String key)
Find key.

Parameters:
key - the key
Returns:
result

find

public int find(char[] key,
                int start)
Find key.

Parameters:
key - the key
start - offset into key array
Returns:
result

knows

public boolean knows(java.lang.String key)
Parameters:
key - a key
Returns:
trye if key present

size

public int size()
Returns:
length

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Overrides:
clone in class java.lang.Object
Throws:
java.lang.CloneNotSupportedException

insertBalanced

protected void insertBalanced(java.lang.String[] k,
                              char[] v,
                              int offset,
                              int n)
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.

Parameters:
k - array of keys
v - array of values
offset - where to insert
n - count to insert

balance

public void balance()
Balance the tree for best search performance


trimToSize

public void 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!).


keys

public java.util.Enumeration keys()
Returns:
the keys

printStats

public void printStats()
Print stats (for testing).


main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception
Main entry point for testing.

Parameters:
args - not used
Throws:
java.lang.Exception - if not caught

fop 2.3

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