| /* |
| * 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.index; |
| |
| |
| import java.util.ArrayList; |
| import java.util.Arrays; |
| import java.util.Collections; |
| import java.util.List; |
| |
| import org.apache.lucene.analysis.MockAnalyzer; |
| import org.apache.lucene.analysis.MockTokenizer; |
| import org.apache.lucene.document.Document; |
| import org.apache.lucene.document.Field; |
| import org.apache.lucene.search.CollectionStatistics; |
| import org.apache.lucene.search.TermStatistics; |
| import org.apache.lucene.search.similarities.Similarity; |
| import org.apache.lucene.store.Directory; |
| import org.apache.lucene.util.LuceneTestCase; |
| import org.apache.lucene.util.TestUtil; |
| |
| /** |
| * Tests the maxTermFrequency statistic in FieldInvertState |
| */ |
| public class TestMaxTermFrequency extends LuceneTestCase { |
| Directory dir; |
| IndexReader reader; |
| /* expected maxTermFrequency values for our documents */ |
| ArrayList<Integer> expected = new ArrayList<>(); |
| |
| @Override |
| public void setUp() throws Exception { |
| super.setUp(); |
| dir = newDirectory(); |
| IndexWriterConfig config = newIndexWriterConfig(new MockAnalyzer(random(), MockTokenizer.SIMPLE, true)) |
| .setMergePolicy(newLogMergePolicy()); |
| config.setSimilarity(new TestSimilarity()); |
| RandomIndexWriter writer = new RandomIndexWriter(random(), dir, config); |
| Document doc = new Document(); |
| Field foo = newTextField("foo", "", Field.Store.NO); |
| doc.add(foo); |
| for (int i = 0; i < 100; i++) { |
| foo.setStringValue(addValue()); |
| writer.addDocument(doc); |
| } |
| reader = writer.getReader(); |
| writer.close(); |
| } |
| |
| @Override |
| public void tearDown() throws Exception { |
| reader.close(); |
| dir.close(); |
| super.tearDown(); |
| } |
| |
| public void test() throws Exception { |
| NumericDocValues fooNorms = MultiDocValues.getNormValues(reader, "foo"); |
| for (int i = 0; i < reader.maxDoc(); i++) { |
| assertEquals(i, fooNorms.nextDoc()); |
| assertEquals(expected.get(i).intValue(), fooNorms.longValue() & 0xff); |
| } |
| } |
| |
| /** |
| * Makes a bunch of single-char tokens (the max freq will at most be 255). |
| * shuffles them around, and returns the whole list with Arrays.toString(). |
| * This works fine because we use lettertokenizer. |
| * puts the max-frequency term into expected, to be checked against the norm. |
| */ |
| private String addValue() { |
| List<String> terms = new ArrayList<>(); |
| int maxCeiling = TestUtil.nextInt(random(), 0, 255); |
| int max = 0; |
| for (char ch = 'a'; ch <= 'z'; ch++) { |
| int num = TestUtil.nextInt(random(), 0, maxCeiling); |
| for (int i = 0; i < num; i++) |
| terms.add(Character.toString(ch)); |
| max = Math.max(max, num); |
| } |
| expected.add(max); |
| Collections.shuffle(terms, random()); |
| return Arrays.toString(terms.toArray(new String[terms.size()])); |
| } |
| |
| /** |
| * Simple similarity that encodes maxTermFrequency directly as a byte |
| */ |
| static class TestSimilarity extends Similarity { |
| |
| @Override |
| public long computeNorm(FieldInvertState state) { |
| return state.getMaxTermFrequency(); |
| } |
| |
| @Override |
| public SimScorer scorer(float boost, CollectionStatistics collectionStats, TermStatistics... termStats) { |
| return new SimScorer() { |
| |
| @Override |
| public float score(float freq, long norm) { |
| return 0; |
| } |
| |
| }; |
| } |
| |
| } |
| } |