package org.apache.lucene.analysis;
/**
* 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.
*/
import java.io.IOException;
import org.apache.lucene.analysis.tokenattributes.TermAttribute;
/**
* Removes words that are too long or too short from the stream.
*/
public final class LengthFilter extends TokenFilter {
final int min;
final int max;
private TermAttribute termAtt;
/**
* Build a filter that removes words that are too long or too
* short from the text.
*/
public LengthFilter(TokenStream in, int min, int max)
{
super(in);
this.min = min;
this.max = max;
termAtt = addAttribute(TermAttribute.class);
}
/**
* Returns the next input Token whose term() is the right len
*/
@Override
public final boolean incrementToken() throws IOException {
// return the first non-stop word found
while (input.incrementToken()) {
int len = termAtt.termLength();
if (len >= min && len <= max) {
return true;
}
// note: else we ignore it but should we index each part of it?
}
// reached EOS -- return false
return false;
}
}