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Java example source code file (ConstantRealDistributionTest.java)

This example Java source code file (ConstantRealDistributionTest.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

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Java - Java tags/keywords

constantrealdistribution, constantrealdistributiontest, override, realdistribution, realdistributionabstracttest, test

The ConstantRealDistributionTest.java Java example source code

 * 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,
 * 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 -------------------------------------------------

    public void setUp() {

    //--- Implementations for abstract methods --------------------------------

    /** Creates the default uniform real distribution instance to use in tests. */
    public ConstantRealDistribution makeDistribution() {
        return new ConstantRealDistribution(1);

    /** Creates the default cumulative probability distribution test input values */
    public double[] makeCumulativeTestPoints() {
        return new double[] {0, 0.5, 1};

    /** Creates the default cumulative probability distribution test expected values */
    public double[] makeCumulativeTestValues() {
        return new double[] {0, 0, 1};

    /** Creates the default probability density test expected values */
    public double[] makeDensityTestValues() {
        return new double[] {0, 0, 1};

    /** Override default test, verifying that inverse cum is constant */
    public void testInverseCumulativeProbabilities() {
        RealDistribution dist = getDistribution();
        for (double x : getCumulativeTestValues()) {
            Assert.assertEquals(1,dist.inverseCumulativeProbability(x), 0);

    //--- Additional test cases -----------------------------------------------

    public void testMeanVariance() {
        ConstantRealDistribution dist;

        dist = new ConstantRealDistribution(-1);
        Assert.assertEquals(dist.getNumericalMean(), -1, 0d);
        Assert.assertEquals(dist.getNumericalVariance(), 0, 0d);

    public void testSampling() {
        ConstantRealDistribution dist = new ConstantRealDistribution(0);
        for (int i = 0; i < 10; i++) {
            Assert.assertEquals(0, dist.sample(), 0);


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