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 * http://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 package org.apache.commons.math4.legacy.stat.descriptive.moment;
18
19 import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
20 import org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic;
21 import org.junit.Assert;
22 import org.junit.Test;
23
24 /**
25 * Test cases for the {@link FirstMoment} class.
26 */
27 public class FirstMomentTest extends StorelessUnivariateStatisticAbstractTest{
28
29 /** descriptive statistic. */
30 protected FirstMoment stat;
31
32 /**
33 * @see org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatisticAbstractTest#getUnivariateStatistic()
34 */
35 @Override
36 public UnivariateStatistic getUnivariateStatistic() {
37 return new FirstMoment();
38 }
39
40 /**
41 * @see org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue()
42 */
43 @Override
44 public double expectedValue() {
45 return this.mean;
46 }
47
48 /**
49 * Added in an attempt to resolve MATH-1146
50 * Commented out tests that won't pass with the current implementation.
51 */
52 @Test
53 public void testSpecialValues() {
54 final FirstMoment mean = new FirstMoment();
55
56 // mean.clear();
57 // mean.increment(Double.POSITIVE_INFINITY);
58 // mean.increment(1d);
59 // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d);
60
61 // mean.clear();
62 // mean.increment(Double.POSITIVE_INFINITY);
63 // mean.increment(-1d);
64 // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d);
65
66 // mean.clear();
67 // mean.increment(Double.NEGATIVE_INFINITY);
68 // mean.increment(1d);
69 // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d);
70
71 // mean.clear();
72 // mean.increment(Double.NEGATIVE_INFINITY);
73 // mean.increment(-1d);
74 // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d);
75
76 // mean.clear();
77 // mean.increment(Double.POSITIVE_INFINITY);
78 // mean.increment(Double.POSITIVE_INFINITY);
79 // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d);
80
81 // mean.clear();
82 // mean.increment(Double.NEGATIVE_INFINITY);
83 // mean.increment(Double.NEGATIVE_INFINITY);
84 // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d);
85
86 mean.clear();
87 mean.increment(Double.POSITIVE_INFINITY);
88 mean.increment(Double.NEGATIVE_INFINITY);
89 Assert.assertTrue(Double.isNaN(mean.getResult()));
90
91 mean.clear();
92 mean.increment(Double.NEGATIVE_INFINITY);
93 mean.increment(Double.POSITIVE_INFINITY);
94 Assert.assertTrue(Double.isNaN(mean.getResult()));
95
96 mean.clear();
97 mean.increment(Double.NaN);
98 mean.increment(Double.POSITIVE_INFINITY);
99 Assert.assertTrue(Double.isNaN(mean.getResult()));
100
101 mean.clear();
102 mean.increment(Double.NaN);
103 mean.increment(Double.NEGATIVE_INFINITY);
104 Assert.assertTrue(Double.isNaN(mean.getResult()));
105
106 mean.clear();
107 mean.increment(Double.NaN);
108 mean.increment(0d);
109 Assert.assertTrue(Double.isNaN(mean.getResult()));
110 }
111 }