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 * 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
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package org.apache.lucene.analysis.icu;


import java.io.IOException;

import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;

import com.ibm.icu.text.Normalizer;
import com.ibm.icu.text.Normalizer2;

Normalize token text with ICU's Normalizer2 

With this filter, you can normalize text in the following ways:

 
 NFKC Normalization, Case Folding, and removing Ignorables (the default)
 
 Using a standard Normalization mode (NFC, NFD, NFKC, NFKD)
 
 Based on rules from a custom normalization mapping.


If you use the defaults, this filter is a simple way to standardize Unicode text
in a language-independent way for search:

 
 The case folding that it does can be seen as a replacement for
 LowerCaseFilter: For example, it handles cases such as the Greek sigma, so that
"Μάϊος" and "ΜΆΪΟΣ" will match correctly.
 
 The normalization will standardizes different forms of the same 
 character in Unicode. For example, CJK full-width numbers will be standardized
 to their ASCII forms.
 
 Ignorables such as Zero-Width Joiner and Variation Selectors are removed.
 These are typically modifier characters that affect display.

See Also:
Normalizer2
FilteredNormalizer2/**
 * Normalize token text with ICU's {@link com.ibm.icu.text.Normalizer2}
 * <p>
 * With this filter, you can normalize text in the following ways:
 * <ul>
 *  <li> NFKC Normalization, Case Folding, and removing Ignorables (the default)
 *  <li> Using a standard Normalization mode (NFC, NFD, NFKC, NFKD)
 *  <li> Based on rules from a custom normalization mapping.
 * </ul>
 * <p>
 * If you use the defaults, this filter is a simple way to standardize Unicode text
 * in a language-independent way for search:
 * <ul>
 *  <li> The case folding that it does can be seen as a replacement for
 *  LowerCaseFilter: For example, it handles cases such as the Greek sigma, so that
 * "Μάϊος" and "ΜΆΪΟΣ" will match correctly.
 *  <li> The normalization will standardizes different forms of the same 
 *  character in Unicode. For example, CJK full-width numbers will be standardized
 *  to their ASCII forms.
 *  <li> Ignorables such as Zero-Width Joiner and Variation Selectors are removed.
 *  These are typically modifier characters that affect display.
 * </ul>
 * 
 * @see com.ibm.icu.text.Normalizer2
 * @see com.ibm.icu.text.FilteredNormalizer2
 */
public class ICUNormalizer2Filter extends TokenFilter {
  private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
  private final Normalizer2 normalizer;
  private final StringBuilder buffer = new StringBuilder();

  
Create a new Normalizer2Filter that combines NFKC normalization, Case
Folding, and removes Default Ignorables (NFKC_Casefold)
/**
   * Create a new Normalizer2Filter that combines NFKC normalization, Case
   * Folding, and removes Default Ignorables (NFKC_Casefold)
   */
  public ICUNormalizer2Filter(TokenStream input) {
    this(input, Normalizer2.getInstance(null, "nfkc_cf", Normalizer2.Mode.COMPOSE));
  }

  
Create a new Normalizer2Filter with the specified Normalizer2
Params:
input – stream
normalizer – normalizer to use/**
   * Create a new Normalizer2Filter with the specified Normalizer2
   * @param input stream
   * @param normalizer normalizer to use
   */
  public ICUNormalizer2Filter(TokenStream input, Normalizer2 normalizer) {
    super(input);
    this.normalizer = normalizer;
  }

  @Override
  public final boolean incrementToken() throws IOException {
    if (input.incrementToken()) {
      if (normalizer.quickCheck(termAtt) != Normalizer.YES) {
        buffer.setLength(0);
        normalizer.normalize(termAtt, buffer);
        termAtt.setEmpty().append(buffer);
      }
      return true;
    } else {
      return false;
    }
  }
}