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📄 testlengthnormmodifier.java

📁 lucene2.2.0版本
💻 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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