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18 package org.apache.commons.math.distribution;
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27 public class CauchyDistributionTest extends ContinuousDistributionAbstractTest {
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33 public CauchyDistributionTest(String arg0) {
34 super(arg0);
35 }
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40 public ContinuousDistribution makeDistribution() {
41 return new CauchyDistributionImpl(1.2, 2.1);
42 }
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45 public double[] makeCumulativeTestPoints() {
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47 return new double[] {-667.2485619d, -65.6230835d, -25.48302995d,
48 -12.05887818d, -5.263135428d, 7.663135428d, 14.45887818d,
49 27.88302995d, 68.0230835d, 669.6485619d};
50 }
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53 public double[] makeCumulativeTestValues() {
54 return new double[] {0.001d, 0.01d, 0.025d, 0.05d, 0.1d, 0.900d, 0.950d,
55 0.975d, 0.990d, 0.999d};
56 }
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60 public void testInverseCumulativeProbabilityExtremes() throws Exception {
61 setInverseCumulativeTestPoints(new double[] {0.0, 1.0});
62 setInverseCumulativeTestValues(
63 new double[] {Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY});
64 verifyInverseCumulativeProbabilities();
65 }
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67 public void testMedian() {
68 CauchyDistribution distribution = (CauchyDistribution) getDistribution();
69 double expected = Math.random();
70 distribution.setMedian(expected);
71 assertEquals(expected, distribution.getMedian(), 0.0);
72 }
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74 public void testScale() {
75 CauchyDistribution distribution = (CauchyDistribution) getDistribution();
76 double expected = Math.random();
77 distribution.setScale(expected);
78 assertEquals(expected, distribution.getScale(), 0.0);
79 }
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81 public void testSetScale() {
82 CauchyDistribution distribution = (CauchyDistribution) getDistribution();
83 try {
84 distribution.setScale(0.0);
85 fail("Can not have 0.0 scale.");
86 } catch (IllegalArgumentException ex) {
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88 }
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90 try {
91 distribution.setScale(-1.0);
92 fail("Can not have negative scale.");
93 } catch (IllegalArgumentException ex) {
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95 }
96 }
97 }