1 package org.apache.lucene.search.function;
4 * Licensed to the Apache Software Foundation (ASF) under one or more
5 * contributor license agreements. See the NOTICE file distributed with
6 * this work for additional information regarding copyright ownership.
7 * The ASF licenses this file to You under the Apache License, Version 2.0
8 * (the "License"); you may not use this file except in compliance with
9 * the License. You may obtain a copy of the License at
11 * http://www.apache.org/licenses/LICENSE-2.0
13 * Unless required by applicable law or agreed to in writing, software
14 * distributed under the License is distributed on an "AS IS" BASIS,
15 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
16 * See the License for the specific language governing permissions and
17 * limitations under the License.
20 import org.apache.lucene.util.LuceneTestCase;
21 import org.junit.Test;
26 public class TestDocValues extends LuceneTestCase {
29 public void testGetMinValue() {
30 float[] innerArray = new float[] { 1.0f, 2.0f, -1.0f, 100.0f };
31 DocValuesTestImpl docValues = new DocValuesTestImpl(innerArray);
32 assertEquals("-1.0f is the min value in the source array", -1.0f, docValues
35 // test with without values - NaN
36 innerArray = new float[] {};
37 docValues = new DocValuesTestImpl(innerArray);
38 assertTrue("max is NaN - no values in inner array", Float.isNaN(docValues
42 public void testGetMaxValue() {
43 float[] innerArray = new float[] { 1.0f, 2.0f, -1.0f, 10.0f };
44 DocValuesTestImpl docValues = new DocValuesTestImpl(innerArray);
45 assertEquals("10.0f is the max value in the source array", 10.0f, docValues
48 innerArray = new float[] { -3.0f, -1.0f, -100.0f };
49 docValues = new DocValuesTestImpl(innerArray);
50 assertEquals("-1.0f is the max value in the source array", -1.0f, docValues
53 innerArray = new float[] { -3.0f, -1.0f, 100.0f, Float.MAX_VALUE,
54 Float.MAX_VALUE - 1 };
55 docValues = new DocValuesTestImpl(innerArray);
56 assertEquals(Float.MAX_VALUE + " is the max value in the source array",
57 Float.MAX_VALUE, docValues.getMaxValue(), 0);
59 // test with without values - NaN
60 innerArray = new float[] {};
61 docValues = new DocValuesTestImpl(innerArray);
62 assertTrue("max is NaN - no values in inner array", Float.isNaN(docValues
67 public void testGetAverageValue() {
68 float[] innerArray = new float[] { 1.0f, 1.0f, 1.0f, 1.0f };
69 DocValuesTestImpl docValues = new DocValuesTestImpl(innerArray);
70 assertEquals("the average is 1.0f", 1.0f, docValues.getAverageValue(), 0);
72 innerArray = new float[] { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f };
73 docValues = new DocValuesTestImpl(innerArray);
74 assertEquals("the average is 3.5f", 3.5f, docValues.getAverageValue(), 0);
76 // test with negative values
77 innerArray = new float[] { -1.0f, 2.0f };
78 docValues = new DocValuesTestImpl(innerArray);
79 assertEquals("the average is 0.5f", 0.5f, docValues.getAverageValue(), 0);
81 // test with without values - NaN
82 innerArray = new float[] {};
83 docValues = new DocValuesTestImpl(innerArray);
84 assertTrue("the average is NaN - no values in inner array", Float
85 .isNaN(docValues.getAverageValue()));
88 static class DocValuesTestImpl extends DocValues {
91 DocValuesTestImpl(float[] innerArray) {
92 this.innerArray = innerArray;
96 * @see org.apache.lucene.search.function.DocValues#floatVal(int)
99 public float floatVal(int doc) {
100 return innerArray[doc];
104 * @see org.apache.lucene.search.function.DocValues#toString(int)
107 public String toString(int doc) {
108 return Integer.toString(doc);