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Commons Math example source code file (PascalDistributionTest.java)

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

Java - Commons Math tags/keywords

exception, exception, integerdistribution, integerdistributionabstracttest, integerdistributionabstracttest, override, override, pascaldistributiontest, pascaldistributiontest

The Commons Math PascalDistributionTest.java 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.math.distribution;

/**
 * Test cases for PascalDistribution.
 * Extends IntegerDistributionAbstractTest.  See class javadoc for
 * IntegerDistributionAbstractTest for details.
 *
 * @version $Revision: 924351 $ $Date: 2010-03-17 12:19:29 -0400 (Wed, 17 Mar 2010) $
 */
public class PascalDistributionTest extends IntegerDistributionAbstractTest {

    /**
     * Constructor for PascalDistributionTest.
     * @param name
     */
    public PascalDistributionTest(String name) {
        super(name);
    }

    // --------------------- Override tolerance  --------------
    protected double defaultTolerance = NormalDistributionImpl.DEFAULT_INVERSE_ABSOLUTE_ACCURACY;
    @Override
    protected void setUp() throws Exception {
        super.setUp();
        setTolerance(defaultTolerance);
    }

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

    /** Creates the default discrete distribution instance to use in tests. */
    @Override
    public IntegerDistribution makeDistribution() {
        return new PascalDistributionImpl(10,0.70);
    }

    /** Creates the default probability density test input values */
    @Override
    public int[] makeDensityTestPoints() {
      return new int[] {-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
    }

    /** Creates the default probability density test expected values */
    @Override
    public double[] makeDensityTestValues() {
      return new double[] {0, 0.0282475249, 0.0847425747, 0.139825248255, 0.167790297906, 0.163595540458,
              0.137420253985, 0.103065190489, 0.070673273478, 0.0450542118422, 0.0270325271053,
              0.0154085404500, 0.0084046584273};
    }

    /** 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, 0.0282475249, 0.1129900996, 0.252815347855, 0.420605645761, 0.584201186219,
              0.721621440204, 0.824686630693, 0.895359904171, 0.940414116013, 0.967446643119,
              0.982855183569, 0.991259841996};
        }

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

    /** Creates the default inverse cumulative probability density test expected values */
    @Override
    public int[] makeInverseCumulativeTestValues() {
      return new int[] {-1, -1, -1, -1, 0, 0, 13, 10, 9, 8, 7, Integer.MAX_VALUE};
    }

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

    /** Test degenerate case p = 0   */
    public void testDegenerate0() throws Exception {
        setDistribution(new PascalDistributionImpl(5,0.0d));
        setCumulativeTestPoints(new int[] {-1, 0, 1, 5, 10 });
        setCumulativeTestValues(new double[] {0d, 0d, 0d, 0d, 0d});
        setDensityTestPoints(new int[] {-1, 0, 1, 10, 11});
        setDensityTestValues(new double[] {0d, 0d, 0d, 0d, 0d});
        setInverseCumulativeTestPoints(new double[] {0.1d, 0.5d});
        setInverseCumulativeTestValues(new int[] {Integer.MAX_VALUE - 1, Integer.MAX_VALUE - 1});
        verifyDensities();
        verifyCumulativeProbabilities();
        verifyInverseCumulativeProbabilities();
    }

    /** Test degenerate case p = 1   */
    public void testDegenerate1() throws Exception {
        setDistribution(new PascalDistributionImpl(5,1.0d));
        setCumulativeTestPoints(new int[] {-1, 0, 1, 2, 5, 10 });
        setCumulativeTestValues(new double[] {0d, 1d, 1d, 1d, 1d, 1d});
        setDensityTestPoints(new int[] {-1, 0, 1, 2, 5, 10});
        setDensityTestValues(new double[] {0d, 1d, 0d, 0d, 0d, 0d});
        setInverseCumulativeTestPoints(new double[] {0.1d, 0.5d});
        setInverseCumulativeTestValues(new int[] {-1, -1});
        verifyDensities();
        verifyCumulativeProbabilities();
        verifyInverseCumulativeProbabilities();
    }
}

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