/*
*
*
* Copyright 1990-2007 Sun Microsystems, Inc. All Rights Reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License version
* 2 only, as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License version 2 for more details (a copy is
* included at /legal/license.txt).
*
* You should have received a copy of the GNU General Public License
* version 2 along with this work; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
* 02110-1301 USA
*
* Please contact Sun Microsystems, Inc., 4150 Network Circle, Santa
* Clara, CA 95054 or visit www.sun.com if you need additional
* information or have any questions.
*/
package com.sun.midp.chameleon.input;
/**
* Interface for predictive text processing
*
* This class is responsible for initializing the Dictionary
* Two APIs are required,
* addWord : An interface to add a word to current dictionary (if supported)
* iterator: Get a iterator object with the following methods
* iterator.next() : get next possible completion string
* iterator.hasNext() : check if another possible completion exists
* iterator.nextLevel(int key) : add a char to the current completion
* iterator.provLevel() : backspace last char from current completion
* iterator.reset() : clear current completion
* iteratr.resetNext() : revert to first possible completion string
*
* Example of using the predictive text API:
*
* PTDictionary dictionary;
* PTIterator iter=dictionary.iterator();
* iter.nextLevel('2');
* iter.nextLevel('2');
* iter.nextLevel('2');
* while(iter.hasNext()) {
* String completion=iter.next();
* System.out.println(completion);
* //will print "aca" (short of "academy") "cab" (short of "cabin"),
* // "acc" (short of "accelerate") etc.
* }
*
*/
public interface PTDictionary {
/**
* get a iterator to the predictive text library
*
* @return a predictive text Iterator
*/
public PTIterator iterator();
/**
* add a new word to the dictionary
*
* @param word new word to add to dictionary
* @return true if new word was added, false otherwise
*/
public boolean addWord(String word);
}
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