package org.apache.lucene.analysis.pt;
/*
* 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 static org.apache.lucene.analysis.VocabularyAssert.assertVocabulary;
import java.io.IOException;
import java.io.Reader;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.KeywordTokenizer;
import org.apache.lucene.analysis.miscellaneous.SetKeywordMarkerFilter;
import org.apache.lucene.analysis.util.CharArraySet;
/**
* Simple tests for {@link PortugueseStemFilter}
*/
public class TestPortugueseStemFilter extends BaseTokenStreamTestCase {
private Analyzer analyzer = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer source = new MockTokenizer(reader, MockTokenizer.SIMPLE, true);
return new TokenStreamComponents(source, new PortugueseStemFilter(source));
}
};
/**
* Test the example from the paper "Assessing the impact of stemming accuracy
* on information retrieval"
*/
public void testExamples() throws IOException {
assertAnalyzesTo(
analyzer,
"O debate político, pelo menos o que vem a público, parece, de modo nada "
+ "surpreendente, restrito a temas menores. Mas há, evidentemente, "
+ "grandes questões em jogo nas eleições que se aproximam.",
new String[] {
"o", "debat", "politic", "pel", "menos", "o", "que", "vem", "a",
"public", "parec", "de", "mod", "nad", "surpreend", "restrit",
"a", "tem", "men", "mas", "ha", "evid", "grand", "quest",
"em", "jog", "na", "eleic", "que", "se", "aproxim"
});
}
/** Test against a vocabulary from the reference impl */
public void testVocabulary() throws IOException {
assertVocabulary(analyzer, getDataFile("ptrslptestdata.zip"), "ptrslp.txt");
}
public void testKeyword() throws IOException {
final CharArraySet exclusionSet = new CharArraySet(TEST_VERSION_CURRENT, asSet("quilométricas"), false);
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer source = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
TokenStream sink = new SetKeywordMarkerFilter(source, exclusionSet);
return new TokenStreamComponents(source, new PortugueseStemFilter(sink));
}
};
checkOneTerm(a, "quilométricas", "quilométricas");
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
checkRandomData(random(), analyzer, 1000*RANDOM_MULTIPLIER);
}
public void testEmptyTerm() throws IOException {
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer tokenizer = new KeywordTokenizer(reader);
return new TokenStreamComponents(tokenizer, new PortugueseStemFilter(tokenizer));
}
};
checkOneTerm(a, "", "");
}
}