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/*
* 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
*
* http://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.
*/
package org.apache.commons.math4.legacy.stat.descriptive.summary;
import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic;
import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
import org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic;
import org.junit.Assert;
import org.junit.Test;
/**
* Test cases for the {@link UnivariateStatistic} class.
*/
public class ProductTest extends StorelessUnivariateStatisticAbstractTest{
protected Product stat;
/**
* {@inheritDoc}
*/
@Override
public UnivariateStatistic getUnivariateStatistic() {
return new Product();
}
/**
* {@inheritDoc}
*/
@Override
public double getTolerance() {
return 10E8; //sic -- big absolute error due to only 15 digits of accuracy in double
}
/**
* {@inheritDoc}
*/
@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 = new Product();
Assert.assertEquals(1, product.getResult(), 0);
product.increment(1);
Assert.assertEquals(1, product.getResult(), 0);
product.increment(Double.POSITIVE_INFINITY);
Assert.assertEquals(Double.POSITIVE_INFINITY, product.getResult(), 0);
product.increment(Double.NEGATIVE_INFINITY);
Assert.assertEquals(Double.NEGATIVE_INFINITY, product.getResult(), 0);
product.increment(Double.NaN);
Assert.assertTrue(Double.isNaN(product.getResult()));
product.increment(1);
Assert.assertTrue(Double.isNaN(product.getResult()));
}
@Test
public void testWeightedProduct() {
Product product = new Product();
Assert.assertEquals(expectedWeightedValue(),
product.evaluate(testArray, testWeightsArray, 0, testArray.length),getTolerance());
Assert.assertEquals(expectedValue(),
product.evaluate(testArray, unitWeightsArray, 0, testArray.length), getTolerance());
}
@Override
protected void checkClearValue(StorelessUnivariateStatistic statistic){
Assert.assertEquals(1, statistic.getResult(), 0);
}
}