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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.rank;
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 MaxTest extends StorelessUnivariateStatisticAbstractTest {
protected Max stat;
/**
* {@inheritDoc}
*/
@Override
public UnivariateStatistic getUnivariateStatistic() {
return new Max();
}
/**
* {@inheritDoc}
*/
@Override
public double expectedValue() {
return this.max;
}
@Test
public void testSpecialValues() {
double[] testArray = {0d, Double.NaN, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY};
Max max = new Max();
Assert.assertTrue(Double.isNaN(max.getResult()));
max.increment(testArray[0]);
Assert.assertEquals(0d, max.getResult(), 0);
max.increment(testArray[1]);
Assert.assertEquals(0d, max.getResult(), 0);
max.increment(testArray[2]);
Assert.assertEquals(0d, max.getResult(), 0);
max.increment(testArray[3]);
Assert.assertEquals(Double.POSITIVE_INFINITY, max.getResult(), 0);
Assert.assertEquals(Double.POSITIVE_INFINITY, max.evaluate(testArray), 0);
}
@Test
public void testNaNs() {
Max max = new Max();
double nan = Double.NaN;
Assert.assertEquals(3d, max.evaluate(new double[]{nan, 2d, 3d}), 0);
Assert.assertEquals(3d, max.evaluate(new double[]{1d, nan, 3d}), 0);
Assert.assertEquals(2d, max.evaluate(new double[]{1d, 2d, nan}), 0);
Assert.assertTrue(Double.isNaN(max.evaluate(new double[]{nan, nan, nan})));
}
}