/*
    * 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.jupiter.api.Test;
  
  import static org.junit.jupiter.api.Assertions.assertEquals;
  import static org.junit.jupiter.api.Assertions.assertTrue;
  
  public class LevyDistributionTest extends RealDistributionAbstractTest {
  
      @Test
      void testParameters() {
          LevyDistribution d = makeDistribution();
          assertEquals(1.2, d.getLocation(), Precision.EPSILON);
          assertEquals(0.4,   d.getScale(),  Precision.EPSILON);
      }
  
      @Test
      void testSupport() {
          LevyDistribution d = makeDistribution();
          assertEquals(d.getLocation(), d.getSupportLowerBound(), Precision.EPSILON);
          assertTrue(Double.isInfinite(d.getSupportUpperBound()));
          assertTrue(d.isSupportConnected());
      }
  
      @Override
      public LevyDistribution makeDistribution() {
          return new LevyDistribution(1.2, 0.4);
      }
  
      @Override
      public double[] makeCumulativeTestPoints() {
          return new double[] {
              1.2001, 1.21, 1.225, 1.25, 1.3, 1.9, 3.4, 5.6
          };
      }
  
      @Override
      public double[] makeCumulativeTestValues() {
          // values computed with R and function plevy from rmutil package
          return new double[] {
              0, 2.53962850749e-10, 6.33424836662e-05, 0.00467773498105,
              0.0455002638964, 0.449691797969, 0.669815357599, 0.763024600553
          };
      }
  
      @Override
      public double[] makeDensityTestValues() {
          // values computed with R and function dlevy from rmutil package
          return new double[] {
              0, 5.20056373765e-07, 0.0214128361224, 0.413339707082, 1.07981933026,
              0.323749319161, 0.0706032550094, 0.026122839884
          };
      }
  
      /**
       * Creates the default logarithmic probability density test expected values.
       * Reference values are from R, version 2.14.1.
       */
      @Override
      public double[] makeLogDensityTestValues() {
          return new double[] {
              -1987.561573341398d, -14.469328620160d, -3.843764717971d,
              -0.883485488811d, 0.076793740349d, -1.127785768948d,
              -2.650679030597d, -3.644945255983d};
      }
  }