1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * https://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18 /*
19 * This is not the original file distributed by the Apache Software Foundation
20 * It has been modified by the Hipparchus project
21 */
22 package org.hipparchus.stat.descriptive.moment;
23
24 import org.hipparchus.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
25 import org.junit.jupiter.api.Test;
26
27 import static org.junit.jupiter.api.Assertions.assertEquals;
28 import static org.junit.jupiter.api.Assertions.assertFalse;
29 import static org.junit.jupiter.api.Assertions.assertTrue;
30
31 /**
32 * Test cases for the {@link GeometricMean} class.
33 */
34 public class GeometricMeanTest extends StorelessUnivariateStatisticAbstractTest{
35
36 @Override
37 public GeometricMean getUnivariateStatistic() {
38 return new GeometricMean();
39 }
40
41 @Override
42 public double expectedValue() {
43 return this.geoMean;
44 }
45
46 @Test
47 void testSpecialValues() {
48 GeometricMean mean = getUnivariateStatistic();
49 // empty
50 assertTrue(Double.isNaN(mean.getResult()));
51
52 // finite data
53 mean.increment(1d);
54 assertFalse(Double.isNaN(mean.getResult()));
55
56 // add 0 -- makes log sum blow to minus infinity, should make 0
57 mean.increment(0d);
58 assertEquals(0d, mean.getResult(), 0);
59
60 // add positive infinity - note the minus infinity above
61 mean.increment(Double.POSITIVE_INFINITY);
62 assertTrue(Double.isNaN(mean.getResult()));
63
64 // clear
65 mean.clear();
66 assertTrue(Double.isNaN(mean.getResult()));
67
68 // positive infinity by itself
69 mean.increment(Double.POSITIVE_INFINITY);
70 assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0);
71
72 // negative value -- should make NaN
73 mean.increment(-2d);
74 assertTrue(Double.isNaN(mean.getResult()));
75 }
76
77 }