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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
* limitations under the License.
*/
package org.apache.lucene.analysis.pt;
import static org.apache.lucene.analysis.VocabularyAssert.assertVocabulary;
import java.io.IOException;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.CharArraySet;
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;
/** Simple tests for {@link PortugueseStemFilter} */
public class TestPortugueseStemFilter extends BaseTokenStreamTestCase {
private Analyzer analyzer;
@Override
public void setUp() throws Exception {
super.setUp();
analyzer =
new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer source = new MockTokenizer(MockTokenizer.SIMPLE, true);
return new TokenStreamComponents(source, new PortugueseStemFilter(source));
}
};
}
@Override
public void tearDown() throws Exception {
analyzer.close();
super.tearDown();
}
/**
* 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, getDataPath("ptrslptestdata.zip"), "ptrslp.txt");
}
public void testKeyword() throws IOException {
final CharArraySet exclusionSet = new CharArraySet(asSet("quilométricas"), false);
Analyzer a =
new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer source = new MockTokenizer(MockTokenizer.WHITESPACE, false);
TokenStream sink = new SetKeywordMarkerFilter(source, exclusionSet);
return new TokenStreamComponents(source, new PortugueseStemFilter(sink));
}
};
checkOneTerm(a, "quilométricas", "quilométricas");
a.close();
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
checkRandomData(random(), analyzer, 200 * RANDOM_MULTIPLIER);
}
public void testEmptyTerm() throws IOException {
Analyzer a =
new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new KeywordTokenizer();
return new TokenStreamComponents(tokenizer, new PortugueseStemFilter(tokenizer));
}
};
checkOneTerm(a, "", "");
a.close();
}
}