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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.math3.distribution;
import org.junit.Assert;
import org.junit.Test;
/**
* Test cases for ConstantRealDistribution.
*/
public class ConstantRealDistributionTest extends RealDistributionAbstractTest {
// --- Override tolerance -------------------------------------------------
@Override
public void setUp() {
super.setUp();
setTolerance(0);
}
//--- Implementations for abstract methods --------------------------------
/** Creates the default uniform real distribution instance to use in tests. */
@Override
public ConstantRealDistribution makeDistribution() {
return new ConstantRealDistribution(1);
}
/** Creates the default cumulative probability distribution test input values */
@Override
public double[] makeCumulativeTestPoints() {
return new double[] {0, 0.5, 1};
}
/** Creates the default cumulative probability distribution test expected values */
@Override
public double[] makeCumulativeTestValues() {
return new double[] {0, 0, 1};
}
/** Creates the default probability density test expected values */
@Override
public double[] makeDensityTestValues() {
return new double[] {0, 0, 1};
}
/** Override default test, verifying that inverse cum is constant */
@Override
@Test
public void testInverseCumulativeProbabilities() {
RealDistribution dist = getDistribution();
for (double x : getCumulativeTestValues()) {
Assert.assertEquals(1,dist.inverseCumulativeProbability(x), 0);
}
}
//--- Additional test cases -----------------------------------------------
@Test
public void testMeanVariance() {
ConstantRealDistribution dist;
dist = new ConstantRealDistribution(-1);
Assert.assertEquals(dist.getNumericalMean(), -1, 0d);
Assert.assertEquals(dist.getNumericalVariance(), 0, 0d);
}
@Test
public void testSampling() {
ConstantRealDistribution dist = new ConstantRealDistribution(0);
for (int i = 0; i < 10; i++) {
Assert.assertEquals(0, dist.sample(), 0);
}
}
}