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.summary;
23
24 import static org.junit.Assert.assertEquals;
25 import static org.junit.Assert.assertFalse;
26 import static org.junit.Assert.assertTrue;
27
28 import org.hipparchus.stat.descriptive.StorelessUnivariateStatistic;
29 import org.hipparchus.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
30 import org.junit.Test;
31
32 /**
33 * Test cases for the {@code SumLog} class.
34 */
35 public class SumLogTest extends StorelessUnivariateStatisticAbstractTest {
36
37 @Override
38 public SumOfLogs getUnivariateStatistic() {
39 return new SumOfLogs();
40 }
41
42 @Override
43 public double expectedValue() {
44 return this.sumLog;
45 }
46
47 @Test
48 public void testSpecialValues() {
49 SumOfLogs sum = getUnivariateStatistic();
50 // empty
51 assertEquals(0, sum.getResult(), 0);
52
53 // finite data
54 sum.increment(1d);
55 assertFalse(Double.isNaN(sum.getResult()));
56
57 // add negative infinity
58 sum.increment(0d);
59 assertEquals(Double.NEGATIVE_INFINITY, sum.getResult(), 0);
60
61 // add positive infinity -- should make NaN
62 sum.increment(Double.POSITIVE_INFINITY);
63 assertTrue(Double.isNaN(sum.getResult()));
64
65 // clear
66 sum.clear();
67 assertEquals(0, sum.getResult(), 0);
68
69 // positive infinity by itself
70 sum.increment(Double.POSITIVE_INFINITY);
71 assertEquals(Double.POSITIVE_INFINITY, sum.getResult(), 0);
72
73 // negative value -- should make NaN
74 sum.increment(-2d);
75 assertTrue(Double.isNaN(sum.getResult()));
76 }
77
78 @Override
79 protected void checkClearValue(StorelessUnivariateStatistic statistic) {
80 assertEquals(0, statistic.getResult(), 0);
81 }
82
83 }