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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.distribution.continuous;
23  
24  import org.hipparchus.util.Precision;
25  import org.junit.jupiter.api.Test;
26  
27  import static org.junit.jupiter.api.Assertions.assertEquals;
28  import static org.junit.jupiter.api.Assertions.assertTrue;
29  
30  /**
31   * Test cases for NakagamiDistribution.
32   */
33  public class NakagamiDistributionTest extends RealDistributionAbstractTest {
34  
35      @Test
36      void testParameters() {
37          NakagamiDistribution d = makeDistribution();
38          assertEquals(0.5, d.getShape(), Precision.EPSILON);
39          assertEquals(1, d.getScale(), Precision.EPSILON);
40      }
41  
42      @Test
43      void testSupport() {
44          NakagamiDistribution d = makeDistribution();
45          assertEquals(0, d.getSupportLowerBound(), Precision.EPSILON);
46          assertTrue(Double.isInfinite(d.getSupportUpperBound()));
47          assertTrue(d.isSupportConnected());
48      }
49  
50      @Override
51      public NakagamiDistribution makeDistribution() {
52          return new NakagamiDistribution(0.5, 1);
53      }
54  
55      @Override
56      public double[] makeCumulativeTestPoints() {
57          return new double[] {
58              0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2
59          };
60      }
61  
62      @Override
63      public double[] makeDensityTestValues() {
64          return new double[] {
65              0.0000000, 0.7820854, 0.7365403, 0.6664492, 0.5793831, 0.4839414,
66              0.3883721, 0.2994549, 0.2218417, 0.1579003, 0.1079819
67          };
68      }
69  
70      @Override
71      public double[] makeCumulativeTestValues() {
72          return new double[] {
73              0.0000000, 0.1585194, 0.3108435, 0.4514938, 0.5762892, 0.6826895,
74              0.7698607, 0.8384867, 0.8904014, 0.9281394, 0.9544997
75          };
76      }
77  
78  }
79