/**f
 * 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

options {
  STATIC = false;
//IGNORE_CASE = true;
//BUILD_PARSER = false;
  UNICODE_INPUT = true;
  USER_CHAR_STREAM = true;
  OPTIMIZE_TOKEN_MANAGER = true;
//DEBUG_TOKEN_MANAGER = true;
}
PARSER_BEGIN(StandardTokenizer)

package Lucene.Net.Analysis.Standard;

import java.io.*;

/** A grammar-based tokenizer constructed with JavaCC.
 *
 * <p> This should be a good tokenizer for most European-language documents:
 *
 * <ul>
 *   <li>Splits words at punctuation characters, removing punctuation. However, a 
 *     dot that's not followed by whitespace is considered part of a token.
 *   <li>Splits words at hyphens, unless there's a number in the token, in which case
 *     the whole token is interpreted as a product number and is not split.
 *   <li>Recognizes email addresses and internet hostnames as one token.
 * </ul>
 *
 * <p>Many applications have specific tokenizer needs.  If this tokenizer does
 * not suit your application, please consider copying this source code
 * directory to your project and maintaining your own grammar-based tokenizer.
 */
public class StandardTokenizer extends Lucene.Net.Analysis.Tokenizer {

  /** Constructs a tokenizer for this Reader. */
  public StandardTokenizer(Reader reader) {
    this(new FastCharStream(reader));
    this.input = reader;
  }
}

PARSER_END(StandardTokenizer)

TOKEN : {					  // token patterns

  // basic word: a sequence of digits & letters
  <ALPHANUM: (<LETTER>|<DIGIT>|<KOREAN>)+ >

  // internal apostrophes: O'Reilly, you're, O'Reilly's
  // use a post-filter to remove possesives
| <APOSTROPHE: <ALPHA> ("'" <ALPHA>)+ >

  // acronyms: U.S.A., I.B.M., etc.
  // use a post-filter to remove dots
| <ACRONYM: <ALPHA> "." (<ALPHA> ".")+ >

  // company names like AT&T and Excite@Home.
| <COMPANY: <ALPHA> ("&"|"@") <ALPHA> >

  // email addresses
| <EMAIL: <ALPHANUM> (("."|"-"|"_") <ALPHANUM>)* "@" <ALPHANUM> (("."|"-") <ALPHANUM>)+ >

  // hostname
| <HOST: <ALPHANUM> ("." <ALPHANUM>)+ >

  // floating point, serial, model numbers, ip addresses, etc.
  // every other segment must have at least one digit
| <NUM: (<ALPHANUM> <P> <HAS_DIGIT>
       | <HAS_DIGIT> <P> <ALPHANUM>
       | <ALPHANUM> (<P> <HAS_DIGIT> <P> <ALPHANUM>)+
       | <HAS_DIGIT> (<P> <ALPHANUM> <P> <HAS_DIGIT>)+
       | <ALPHANUM> <P> <HAS_DIGIT> (<P> <ALPHANUM> <P> <HAS_DIGIT>)+
       | <HAS_DIGIT> <P> <ALPHANUM> (<P> <HAS_DIGIT> <P> <ALPHANUM>)+
        )
  >
| <#P: ("_"|"-"|"/"|"."|",") >
| <#HAS_DIGIT:					  // at least one digit
    (<LETTER>|<DIGIT>)*
    <DIGIT>
    (<LETTER>|<DIGIT>)*
  >

| < #ALPHA: (<LETTER>)+>
| < #LETTER:					  // unicode letters
      [
       "\u0041"-"\u005a",
       "\u0061"-"\u007a",
       "\u00c0"-"\u00d6",
       "\u00d8"-"\u00f6",
       "\u00f8"-"\u00ff",
       "\u0100"-"\u1fff",
       "\uffa0"-"\uffdc"
      ]
  >
| < CJ:                                          // Chinese, Japanese
      [
       "\u3040"-"\u318f",
       "\u3100"-"\u312f",    // BaPoMoFo (aka ZhuYin)
       "\u3040"-"\u309F",    // Japanese: Hiragana
       "\u30A0"-"\u30FF",    // Japanese: Katakana
       "\u31F0"-"\u31FF",    // Japanese: Katakana Phonetic Extensions
       "\u3300"-"\u337f",
       "\u3400"-"\u4dbf",    // CJK Unified Ideographs Ext. A
       "\u4e00"-"\u9fff",
       "\uf900"-"\ufaff",
       "\uff65"-"\uff9f"

// Otis: consider adding these, too
//
// 2E80-2EFF: CJK Radicals Supplement
// 2F00-2FDF: Kangxi Radicals
// 3190-319F: Kanbun
// 31C0-31EF: CJK Strokes
// 4E00-9FBF: CJK Unified
// F900-FAFF: CJK Compatibility Ideographs

      ]
  >
| < KOREAN:                                          // Korean
      [
       "\uac00"-"\ud7af",     // Hangul Syllables
       "\u1100"-"\u11ff"      // Hangul Jamo
       // "\uac00"-"\ud7a3"
      ]
  >
| < #DIGIT:					  // unicode digits
      [
       "\u0030"-"\u0039",
       "\u0660"-"\u0669",
       "\u06f0"-"\u06f9",
       "\u0966"-"\u096f",
       "\u09e6"-"\u09ef",
       "\u0a66"-"\u0a6f",
       "\u0ae6"-"\u0aef",
       "\u0b66"-"\u0b6f",
       "\u0be7"-"\u0bef",
       "\u0c66"-"\u0c6f",
       "\u0ce6"-"\u0cef",
       "\u0d66"-"\u0d6f",
       "\u0e50"-"\u0e59",
       "\u0ed0"-"\u0ed9",
       "\u1040"-"\u1049"
      ]
  >
}

SKIP : {					  // skip unrecognized chars
 <NOISE: ~[] >
}

/** Returns the next token in the stream, or null at EOS.
 * <p>The returned token's type is set to an element of {@link
 * StandardTokenizerConstants#tokenImage}.
 */
Lucene.Net.Analysis.Token next() throws IOException :
{
  Token token = null;
}
{
  ( token = <ALPHANUM> |
    token = <APOSTROPHE> |
    token = <ACRONYM> |
    token = <COMPANY> |
    token = <EMAIL> |
    token = <HOST> |
    token = <NUM> |
    token = <CJ> |
    token = <EOF>
   )
    {
      if (token.kind == EOF) {
	return null;
      } else {
	return
	  new Lucene.Net.Analysis.Token(token.image,
					token.beginColumn,token.endColumn,
					tokenImage[token.kind]);
      }
    }
}