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.core.LowerCaseFilter; import org.apache.lucene.analysis.miscellaneous.SetKeywordMarkerFilter; import org.apache.lucene.analysis.standard.StandardTokenizer; 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) { Tokenizer source = new StandardTokenizer(TEST_VERSION_CURRENT); TokenStream result = new LowerCaseFilter(TEST_VERSION_CURRENT, source); return new TokenStreamComponents(source, new PortugueseStemFilter(result)); } }; /** * 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) { Tokenizer source = new MockTokenizer(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) { Tokenizer tokenizer = new KeywordTokenizer(); return new TokenStreamComponents(tokenizer, new PortugueseStemFilter(tokenizer)); } }; checkOneTerm(a, "", ""); } }