1 /*
2 * Copyright 2003-2004 The Apache Software Foundation.
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16 package org.apache.commons.math.stat.descriptive.summary;
17
18 import junit.framework.Test;
19 import junit.framework.TestSuite;
20
21 import org.apache.commons.math.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
22 import org.apache.commons.math.stat.descriptive.UnivariateStatistic;
23
24 /**
25 * Test cases for the {@link Sum} class.
26 * @version $Revision: 155427 $ $Date: 2005-02-26 06:11:52 -0700 (Sat, 26 Feb 2005) $
27 */
28 public class SumTest extends StorelessUnivariateStatisticAbstractTest{
29
30 protected Sum stat;
31
32 /**
33 * @param name
34 */
35 public SumTest(String name) {
36 super(name);
37 }
38
39 public static Test suite() {
40 TestSuite suite = new TestSuite(SumTest.class);
41 suite.setName("Sum Tests");
42 return suite;
43 }
44
45 /* (non-Javadoc)
46 * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#getUnivariateStatistic()
47 */
48 public UnivariateStatistic getUnivariateStatistic() {
49 return new Sum();
50 }
51
52 /* (non-Javadoc)
53 * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue()
54 */
55 public double expectedValue() {
56 return this.sum;
57 }
58
59 public void testSpecialValues() {
60 Sum sum = new Sum();
61 assertTrue(Double.isNaN(sum.getResult()));
62 sum.increment(1);
63 assertEquals(1, sum.getResult(), 0);
64 sum.increment(Double.POSITIVE_INFINITY);
65 assertEquals(Double.POSITIVE_INFINITY, sum.getResult(), 0);
66 sum.increment(Double.NEGATIVE_INFINITY);
67 assertTrue(Double.isNaN(sum.getResult()));
68 sum.increment(1);
69 assertTrue(Double.isNaN(sum.getResult()));
70 }
71
72 }