pylucene 3.5.0-3
[pylucene.git] / lucene-java-3.4.0 / lucene / contrib / queries / src / test / org / apache / lucene / search / FuzzyLikeThisQueryTest.java
diff --git a/lucene-java-3.4.0/lucene/contrib/queries/src/test/org/apache/lucene/search/FuzzyLikeThisQueryTest.java b/lucene-java-3.4.0/lucene/contrib/queries/src/test/org/apache/lucene/search/FuzzyLikeThisQueryTest.java
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-package org.apache.lucene.search;
-
-/**
- * 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 java.util.HashSet;
-
-import org.apache.lucene.analysis.Analyzer;
-import org.apache.lucene.analysis.MockAnalyzer;
-import org.apache.lucene.document.Document;
-import org.apache.lucene.document.Field;
-import org.apache.lucene.index.IndexReader;
-import org.apache.lucene.index.RandomIndexWriter;
-import org.apache.lucene.index.Term;
-import org.apache.lucene.store.Directory;
-import org.apache.lucene.util.LuceneTestCase;
-
-public class FuzzyLikeThisQueryTest extends LuceneTestCase {
-       private Directory directory;
-       private IndexSearcher searcher;
-       private IndexReader reader;
-       private Analyzer analyzer=new MockAnalyzer(random);
-
-
-       @Override
-       public void setUp() throws Exception    {
-         super.setUp();
-               directory = newDirectory();
-               RandomIndexWriter writer = new RandomIndexWriter(random, directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)).setMergePolicy(newLogMergePolicy()));
-               //Add series of docs with misspelt names
-               addDoc(writer, "jonathon smythe","1");
-               addDoc(writer, "jonathan smith","2");
-               addDoc(writer, "johnathon smyth","3");
-               addDoc(writer, "johnny smith","4" );
-               addDoc(writer, "jonny smith","5" );
-               addDoc(writer, "johnathon smythe","6");
-               reader = writer.getReader();
-               writer.close();
-               searcher=newSearcher(reader);                   
-       }
-       
-       @Override
-       public void tearDown() throws Exception {
-         searcher.close();
-         reader.close();
-         directory.close();
-         super.tearDown();
-       }
-       
-       private void addDoc(RandomIndexWriter writer, String name, String id) throws IOException
-       {
-               Document doc=new Document();
-               doc.add(newField("name",name,Field.Store.YES,Field.Index.ANALYZED));
-               doc.add(newField("id",id,Field.Store.YES,Field.Index.ANALYZED));
-               writer.addDocument(doc);
-       }
-       
-               
-       //Tests that idf ranking is not favouring rare mis-spellings over a strong edit-distance match 
-       public void testClosestEditDistanceMatchComesFirst() throws Throwable
-       {
-               FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
-               flt.addTerms("smith", "name", 0.3f, 1);
-               Query q=flt.rewrite(searcher.getIndexReader());
-               HashSet<Term> queryTerms=new HashSet<Term>();
-               q.extractTerms(queryTerms);
-               assertTrue("Should have variant smythe",queryTerms.contains(new Term("name","smythe")));
-               assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
-               assertTrue("Should have variant smyth",queryTerms.contains(new Term("name","smyth")));
-               TopDocs topDocs = searcher.search(flt, 1);
-               ScoreDoc[] sd = topDocs.scoreDocs;
-               assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
-               Document doc=searcher.doc(sd[0].doc);
-               assertEquals("Should match most similar not most rare variant", "2",doc.get("id"));
-       }
-       //Test multiple input words are having variants produced
-       public void testMultiWord() throws Throwable
-       {
-               FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
-               flt.addTerms("jonathin smoth", "name", 0.3f, 1);
-               Query q=flt.rewrite(searcher.getIndexReader());
-               HashSet<Term> queryTerms=new HashSet<Term>();
-               q.extractTerms(queryTerms);
-               assertTrue("Should have variant jonathan",queryTerms.contains(new Term("name","jonathan")));
-               assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
-               TopDocs topDocs = searcher.search(flt, 1);
-               ScoreDoc[] sd = topDocs.scoreDocs;
-               assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
-               Document doc=searcher.doc(sd[0].doc);
-               assertEquals("Should match most similar when using 2 words", "2",doc.get("id"));
-       }
-       //Test bug found when first query word does not match anything
-       public void testNoMatchFirstWordBug() throws Throwable
-       {
-               FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
-               flt.addTerms("fernando smith", "name", 0.3f, 1);
-               Query q=flt.rewrite(searcher.getIndexReader());
-               HashSet<Term> queryTerms=new HashSet<Term>();
-               q.extractTerms(queryTerms);
-               assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
-               TopDocs topDocs = searcher.search(flt, 1);
-               ScoreDoc[] sd = topDocs.scoreDocs;
-               assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
-               Document doc=searcher.doc(sd[0].doc);
-               assertEquals("Should match most similar when using 2 words", "2",doc.get("id"));
-       }
-       
-       public void testFuzzyLikeThisQueryEquals() {
-         Analyzer analyzer = new MockAnalyzer(random);
-    FuzzyLikeThisQuery fltq1 = new FuzzyLikeThisQuery(10, analyzer);
-    fltq1.addTerms("javi", "subject", 0.5f, 2);
-    FuzzyLikeThisQuery fltq2 = new FuzzyLikeThisQuery(10, analyzer);
-    fltq2.addTerms("javi", "subject", 0.5f, 2);
-    assertEquals("FuzzyLikeThisQuery with same attributes is not equal", fltq1,
-        fltq2);
-  } 
-}