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Java example source code file (UniformIntegerDistributionTest.java)

This example Java source code file (UniformIntegerDistributionTest.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.

Learn more about this Java project at its project page.

Java - Java tags/keywords

integerdistributionabstracttest, numberistoolargeexception, override, test, uniformintegerdistribution, uniformintegerdistributiontest

The UniformIntegerDistributionTest.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,
 * 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;
import org.apache.commons.math3.exception.NumberIsTooLargeException;

/**
 * Test cases for UniformIntegerDistribution. See class javadoc for
 * {@link IntegerDistributionAbstractTest} for further details.
 */
public class UniformIntegerDistributionTest extends IntegerDistributionAbstractTest {

    // --- Override tolerance -------------------------------------------------

    @Override
    public void setUp() {
        super.setUp();
        setTolerance(1e-9);
    }

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

    /** Creates the default discrete distribution instance to use in tests. */
    @Override
    public IntegerDistribution makeDistribution() {
        return new UniformIntegerDistribution(-3, 5);
    }

    /** Creates the default probability density test input values. */
    @Override
    public int[] makeDensityTestPoints() {
        return new int[] {-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6};
    }

    /** Creates the default probability density test expected values. */
    @Override
    public double[] makeDensityTestValues() {
        double d = 1.0 / (5 - -3 + 1);
        return new double[] {0, d, d, d, d, d, d, d, d, d, 0};
    }

    /** Creates the default cumulative probability density test input values. */
    @Override
    public int[] makeCumulativeTestPoints() {
        return makeDensityTestPoints();
    }

    /** Creates the default cumulative probability density test expected values. */
    @Override
    public double[] makeCumulativeTestValues() {
        return new double[] {0, 1 / 9.0, 2 / 9.0, 3 / 9.0, 4 / 9.0, 5 / 9.0,
                             6 / 9.0, 7 / 9.0, 8 / 9.0, 1, 1};
    }

    /** Creates the default inverse cumulative probability test input values */
    @Override
    public double[] makeInverseCumulativeTestPoints() {
        return new double[] {0, 0.001, 0.010, 0.025, 0.050, 0.100, 0.200,
                             0.5, 0.999, 0.990, 0.975, 0.950, 0.900, 1};
    }

    /** Creates the default inverse cumulative probability density test expected values */
    @Override
    public int[] makeInverseCumulativeTestValues() {
        return new int[] {-3, -3, -3, -3, -3, -3, -2, 1, 5, 5, 5, 5, 5, 5};
    }

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

    /** Test mean/variance. */
    @Test
    public void testMoments() {
        UniformIntegerDistribution dist;

        dist = new UniformIntegerDistribution(0, 5);
        Assert.assertEquals(dist.getNumericalMean(), 2.5, 0);
        Assert.assertEquals(dist.getNumericalVariance(), 35 / 12.0, 0);

        dist = new UniformIntegerDistribution(0, 1);
        Assert.assertEquals(dist.getNumericalMean(), 0.5, 0);
        Assert.assertEquals(dist.getNumericalVariance(), 3 / 12.0, 0);
    }

    // MATH-1141
    @Test
    public void testPreconditionUpperBoundInclusive() {
        try {
            new UniformIntegerDistribution(1, 0);
        } catch (NumberIsTooLargeException e) {
            // Expected.
        }

        // Degenerate case is allowed.
        new UniformIntegerDistribution(0, 0);
    }
}

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