📄 testlengthnormmodifier.java
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package org.apache.lucene.misc;/** * 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 junit.framework.TestCase;import org.apache.lucene.index.Term;import org.apache.lucene.index.IndexWriter;import org.apache.lucene.index.IndexReader;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.Similarity;import org.apache.lucene.search.DefaultSimilarity;import org.apache.lucene.search.TermQuery;import org.apache.lucene.search.HitCollector;import org.apache.lucene.store.RAMDirectory;import org.apache.lucene.store.Directory;import org.apache.lucene.analysis.SimpleAnalyzer;import org.apache.lucene.document.Document;import org.apache.lucene.document.Field;/** * Tests changing the norms after changing the simularity * * @version $Id:$ */public class TestLengthNormModifier extends TestCase { public TestLengthNormModifier(String name) { super(name); } public static byte DEFAULT_NORM = Similarity.encodeNorm(1.0f); public static int NUM_DOCS = 5; public Directory store = new RAMDirectory(); /** inverts the normal notion of lengthNorm */ public static Similarity s = new DefaultSimilarity() { public float lengthNorm(String fieldName, int numTokens) { return (float)numTokens; } }; public void setUp() throws Exception { IndexWriter writer = new IndexWriter(store, new SimpleAnalyzer(), true); IndexSearcher searcher; for (int i = 0; i < NUM_DOCS; i++) { Document d = new Document(); d.add(new Field("field", "word", Field.Store.YES, Field.Index.TOKENIZED)); d.add(new Field("nonorm", "word", Field.Store.YES, Field.Index.NO_NORMS)); for (int j = 1; j <= i; j++) { d.add(new Field("field", "crap", Field.Store.YES, Field.Index.TOKENIZED)); d.add(new Field("nonorm", "more words", Field.Store.YES, Field.Index.NO_NORMS)); } writer.addDocument(d); } writer.close(); } public void testMissingField() { LengthNormModifier lnm = new LengthNormModifier(store, s); try { lnm.reSetNorms("nobodyherebutuschickens"); } catch (Exception e) { assertNull("caught something", e); } } public void testFieldWithNoNorm() throws Exception { IndexReader r = IndexReader.open(store); byte[] norms = r.norms("nonorm"); // sanity check, norms should all be 1 assertTrue("Whoops we have norms?", !r.hasNorms("nonorm")); for (int i = 0; i< norms.length; i++) { assertEquals(""+i, DEFAULT_NORM, norms[i]); } r.close(); LengthNormModifier lnm = new LengthNormModifier(store, s); try { lnm.reSetNorms("nonorm"); } catch (Exception e) { assertNull("caught something", e); } // nothing should have changed r = IndexReader.open(store); norms = r.norms("nonorm"); assertTrue("Whoops we have norms?", !r.hasNorms("nonorm")); for (int i = 0; i< norms.length; i++) { assertEquals(""+i, DEFAULT_NORM, norms[i]); } r.close(); } public void testGoodCases() throws Exception { IndexSearcher searcher; final float[] scores = new float[NUM_DOCS]; float lastScore = 0.0f; // default similarity should put docs with shorter length first searcher = new IndexSearcher(store); searcher.search (new TermQuery(new Term("field", "word")), new HitCollector() { public final void collect(int doc, float score) { scores[doc] = score; } }); searcher.close(); lastScore = Float.MAX_VALUE; for (int i = 0; i < NUM_DOCS; i++) { String msg = "i=" + i + ", "+scores[i]+" <= "+lastScore; assertTrue(msg, scores[i] <= lastScore); //System.out.println(msg); lastScore = scores[i]; } // override the norms to be inverted Similarity s = new DefaultSimilarity() { public float lengthNorm(String fieldName, int numTokens) { return (float)numTokens; } }; LengthNormModifier lnm = new LengthNormModifier(store, s); lnm.reSetNorms("field"); // new norm (with default similarity) should put longer docs first searcher = new IndexSearcher(store); searcher.search (new TermQuery(new Term("field", "word")), new HitCollector() { public final void collect(int doc, float score) { scores[doc] = score; } }); searcher.close(); lastScore = 0.0f; for (int i = 0; i < NUM_DOCS; i++) { String msg = "i=" + i + ", "+scores[i]+" >= "+lastScore; assertTrue(msg, scores[i] >= lastScore); //System.out.println(msg); lastScore = scores[i]; } }}
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