/*
    * Licensed to the Apache Software Foundation (ASF) under one or more
    * contributor license agreements.  See the NOTICE file distributed with
    * this work for additional information regarding copyright ownership.
    * The ASF licenses this file to You under the Apache License, Version 2.0
    * (the "License"); you may not use this file except in compliance with
    * the License.  You may obtain a copy of the License at
    *
    *      https://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  /*
   * This is not the original file distributed by the Apache Software Foundation
   * It has been modified by the Hipparchus project
   */
  package org.hipparchus.distribution.continuous;
  
  import org.hipparchus.util.Precision;
  import org.junit.Assert;
  import org.junit.Test;
  
  /**
   * Test cases for NakagamiDistribution.
   */
  public class NakagamiDistributionTest extends RealDistributionAbstractTest {
  
      @Test
      public void testParameters() {
          NakagamiDistribution d = makeDistribution();
          Assert.assertEquals(0.5, d.getShape(), Precision.EPSILON);
          Assert.assertEquals(1, d.getScale(), Precision.EPSILON);
      }
  
      @Test
      public void testSupport() {
          NakagamiDistribution d = makeDistribution();
          Assert.assertEquals(d.getSupportLowerBound(), 0, Precision.EPSILON);
          Assert.assertTrue(Double.isInfinite(d.getSupportUpperBound()));
          Assert.assertTrue(d.isSupportConnected());
      }
  
      @Override
      public NakagamiDistribution makeDistribution() {
          return new NakagamiDistribution(0.5, 1);
      }
  
      @Override
      public double[] makeCumulativeTestPoints() {
          return new double[] {
              0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2
          };
      }
  
      @Override
      public double[] makeDensityTestValues() {
          return new double[] {
              0.0000000, 0.7820854, 0.7365403, 0.6664492, 0.5793831, 0.4839414,
              0.3883721, 0.2994549, 0.2218417, 0.1579003, 0.1079819
          };
      }
  
      @Override
      public double[] makeCumulativeTestValues() {
          return new double[] {
              0.0000000, 0.1585194, 0.3108435, 0.4514938, 0.5762892, 0.6826895,
              0.7698607, 0.8384867, 0.8904014, 0.9281394, 0.9544997
          };
      }
  
  }