/*
    * 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.stat.descriptive.summary;
  
  import static org.junit.Assert.assertEquals;
  import static org.junit.Assert.assertTrue;
  
  import org.hipparchus.stat.descriptive.StorelessUnivariateStatistic;
  import org.hipparchus.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
  import org.junit.Test;
  
  /**
   * Test cases for the {@link Product} class.
   */
  public class ProductTest extends StorelessUnivariateStatisticAbstractTest {
  
      @Override
      public Product getUnivariateStatistic() {
          return new Product();
      }
  
      @Override
      public double getTolerance() {
          return 10E8;    //sic -- big absolute error due to only 15 digits of accuracy in double
      }
  
      @Override
      public double expectedValue() {
          return this.product;
      }
  
      /** Expected value for the testArray defined in UnivariateStatisticAbstractTest */
      public double expectedWeightedValue() {
          return this.weightedProduct;
      }
  
      @Test
      public void testSpecialValues() {
          Product product = getUnivariateStatistic();
          assertEquals(1, product.getResult(), 0);
          product.increment(1);
          assertEquals(1, product.getResult(), 0);
          product.increment(Double.POSITIVE_INFINITY);
          assertEquals(Double.POSITIVE_INFINITY, product.getResult(), 0);
          product.increment(Double.NEGATIVE_INFINITY);
          assertEquals(Double.NEGATIVE_INFINITY, product.getResult(), 0);
          product.increment(Double.NaN);
          assertTrue(Double.isNaN(product.getResult()));
          product.increment(1);
          assertTrue(Double.isNaN(product.getResult()));
      }
  
      @Test
      public void testWeightedProduct() {
          Product product = new Product();
          assertEquals(expectedWeightedValue(),
                       product.evaluate(testArray, testWeightsArray, 0, testArray.length),getTolerance());
          assertEquals(expectedValue(),
                       product.evaluate(testArray, unitWeightsArray, 0, testArray.length), getTolerance());
      }
  
      @Override
      protected void checkClearValue(StorelessUnivariateStatistic statistic){
          assertEquals(1, statistic.getResult(), 0);
      }
  
  }