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package org.apache.lucene.analysis.hi;
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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import java.io.IOException;
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import org.apache.lucene.analysis.KeywordMarkerFilter;
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import org.apache.lucene.analysis.TokenFilter;
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import org.apache.lucene.analysis.TokenStream;
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import org.apache.lucene.analysis.tokenattributes.KeywordAttribute;
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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* A {@link TokenFilter} that applies {@link HindiNormalizer} to normalize the
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* In some cases the normalization may cause unrelated terms to conflate, so
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* to prevent terms from being normalized use an instance of
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* {@link KeywordMarkerFilter} or a custom {@link TokenFilter} that sets
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* the {@link KeywordAttribute} before this {@link TokenStream}.
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* @see HindiNormalizer
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public final class HindiNormalizationFilter extends TokenFilter {
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private final HindiNormalizer normalizer = new HindiNormalizer();
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private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
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private final KeywordAttribute keywordAtt = addAttribute(KeywordAttribute.class);
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public HindiNormalizationFilter(TokenStream input) {
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public boolean incrementToken() throws IOException {
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if (input.incrementToken()) {
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if (!keywordAtt.isKeyword())
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termAtt.setLength(normalizer.normalize(termAtt.buffer(),