01: /*
02: * Copyright 2003-2004 The Apache Software Foundation.
03: *
04: * Licensed under the Apache License, Version 2.0 (the "License");
05: * you may not use this file except in compliance with the License.
06: * You may obtain a copy of the License at
07: *
08: * http://www.apache.org/licenses/LICENSE-2.0
09: *
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.rank;
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 UnivariateStatistic} class.
26: * @version $Revision: 321508 $ $Date: 2005-10-15 15:16:28 -0700 (Sat, 15 Oct 2005) $
27: */
28: public class MinTest extends StorelessUnivariateStatisticAbstractTest {
29:
30: protected Min stat;
31:
32: /**
33: * @param name
34: */
35: public MinTest(String name) {
36: super (name);
37: }
38:
39: public static Test suite() {
40: TestSuite suite = new TestSuite(MinTest.class);
41: suite.setName("Min 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 Min();
50: }
51:
52: /* (non-Javadoc)
53: * @see org.apache.commons.math.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue()
54: */
55: public double expectedValue() {
56: return this .min;
57: }
58:
59: public void testSpecialValues() {
60: double[] testArray = { 0d, Double.NaN,
61: Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY };
62: Min min = new Min();
63: assertTrue(Double.isNaN(min.getResult()));
64: min.increment(testArray[0]);
65: assertEquals(0d, min.getResult(), 0);
66: min.increment(testArray[1]);
67: assertEquals(0d, min.getResult(), 0);
68: min.increment(testArray[2]);
69: assertEquals(0d, min.getResult(), 0);
70: min.increment(testArray[3]);
71: assertEquals(Double.NEGATIVE_INFINITY, min.getResult(), 0);
72: assertEquals(Double.NEGATIVE_INFINITY, min.evaluate(testArray),
73: 0);
74: }
75:
76: public void testNaNs() {
77: Min min = new Min();
78: double nan = Double.NaN;
79: assertEquals(2d, min.evaluate(new double[] { nan, 2d, 3d }), 0);
80: assertEquals(1d, min.evaluate(new double[] { 1d, nan, 3d }), 0);
81: assertEquals(1d, min.evaluate(new double[] { 1d, 2d, nan }), 0);
82: assertTrue(Double.isNaN(min.evaluate(new double[] { nan, nan,
83: nan })));
84: }
85:
86: }
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