jfreechart example source code file (DefaultStatisticalCategoryDatasetTests.java)

This example jfreechart source code file (DefaultStatisticalCategoryDatasetTests.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 - jfreechart tags/keywords

bytearrayoutputstream, c1, c1, c2, c3, defaultstatisticalcategorydataset, defaultstatisticalcategorydataset, epsilon, epsilon, exception, io, objectinput, r1, r1, r2

The jfreechart DefaultStatisticalCategoryDatasetTests.java source code

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors.
 *
 * Project Info:  http://www.jfree.org/jfreechart/index.html
 *
 * This library is free software; you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation; either version 2.1 of the License, or
 * (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful, but
 * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
 * License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
 * USA.
 *
 * [Java is a trademark or registered trademark of Sun Microsystems, Inc.
 * in the United States and other countries.]
 *
 * -------------------------------------------
 * DefaultStatisticalCategoryDatasetTests.java
 * -------------------------------------------
 * (C) Copyright 2005-2008, by Object Refinery Limited and Contributors.
 *
 * Original Author:  David Gilbert (for Object Refinery Limited);
 * Contributor(s):   -;
 *
 * Changes
 * -------
 * 05-Feb-2005 : Version 1 (DG);
 * 03-Aug-2006 : Added testGetRangeBounds() method (DG);
 * 28-Sep-2007 : Enhanced testCloning() method (DG);
 * 02-Oct-2007 : Added new bounds tests (DG);
 * 03-Oct-2007 : Added testRemove() method (DG);
 *
 */

package org.jfree.data.statistics.junit;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInput;
import java.io.ObjectInputStream;
import java.io.ObjectOutput;
import java.io.ObjectOutputStream;

import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;

import org.jfree.data.Range;
import org.jfree.data.UnknownKeyException;
import org.jfree.data.statistics.DefaultStatisticalCategoryDataset;

/**
 * Tests for the {@link DefaultStatisticalCategoryDataset} class.
 */
public class DefaultStatisticalCategoryDatasetTests extends TestCase {

    /**
     * Returns the tests as a test suite.
     *
     * @return The test suite.
     */
    public static Test suite() {
        return new TestSuite(DefaultStatisticalCategoryDatasetTests.class);
    }

    /**
     * Constructs a new set of tests.
     *
     * @param name  the name of the tests.
     */
    public DefaultStatisticalCategoryDatasetTests(String name) {
        super(name);
    }

    /**
     * Some checks for the getRangeBounds() method.
     */
    public void testGetRangeBounds() {
        DefaultStatisticalCategoryDataset d
                = new DefaultStatisticalCategoryDataset();

        // an empty dataset should return null for bounds
        assertNull(d.getRangeBounds(true));

        // try a dataset with a single value
        d.add(4.5, 1.0, "R1", "C1");
        assertEquals(new Range(4.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(3.5, 5.5), d.getRangeBounds(true));

        // try a dataset with two values
        d.add(0.5, 2.0, "R1", "C2");
        assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));

        // try a Double.NaN
        d.add(Double.NaN, 0.0, "R1", "C3");
        assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));

        // try a Double.NEGATIVE_INFINITY
        d.add(Double.NEGATIVE_INFINITY, 0.0, "R1", "C3");
        assertEquals(new Range(Double.NEGATIVE_INFINITY, 4.5),
                d.getRangeBounds(false));
        assertEquals(new Range(Double.NEGATIVE_INFINITY, 5.5),
                d.getRangeBounds(true));

        // try a Double.POSITIVE_INFINITY
        d.add(Double.POSITIVE_INFINITY, 0.0, "R1", "C3");
        assertEquals(new Range(0.5, Double.POSITIVE_INFINITY),
                d.getRangeBounds(false));
        assertEquals(new Range(-1.5, Double.POSITIVE_INFINITY),
                d.getRangeBounds(true));
    }

    /**
     * Confirm that the equals method can distinguish all the required fields.
     */
    public void testEquals() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        DefaultStatisticalCategoryDataset d2
                = new DefaultStatisticalCategoryDataset();
        assertTrue(d1.equals(d2));
        assertTrue(d2.equals(d1));

    }

    /**
     * Some checks for cloning.
     */
    public void testCloning() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.1, 2.2, "R1", "C1");
        d1.add(3.3, 4.4, "R1", "C2");
        d1.add(null, new Double(5.5), "R1", "C3");
        d1.add(new Double(6.6), null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            d2 = (DefaultStatisticalCategoryDataset) d1.clone();
        }
        catch (CloneNotSupportedException e) {
            fail(e.toString());
        }
        assertTrue(d1 != d2);
        assertTrue(d1.getClass() == d2.getClass());
        assertTrue(d1.equals(d2));

        // check independence
        d1.add(1.1, 2.2, "R3", "C1");
        assertFalse(d1.equals(d2));
    }

    /**
     * Check serialization of a default instance.
     */
    public void testSerialization1() {
        DefaultStatisticalCategoryDataset d1
            = new DefaultStatisticalCategoryDataset();
        d1.add(1.1, 2.2, "R1", "C1");
        d1.add(3.3, 4.4, "R1", "C2");
        d1.add(null, new Double(5.5), "R1", "C3");
        d1.add(new Double(6.6), null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
            out.close();

            ObjectInput in = new ObjectInputStream(
                    new ByteArrayInputStream(buffer.toByteArray()));
            d2 = (DefaultStatisticalCategoryDataset) in.readObject();
            in.close();
        }
        catch (Exception e) {
            fail(e.toString());
        }
        assertEquals(d1, d2);
    }

    /**
     * Check serialization of a more complex instance.
     */
    public void testSerialization2() {
        DefaultStatisticalCategoryDataset d1
            = new DefaultStatisticalCategoryDataset();
        d1.add(1.2, 3.4, "Row 1", "Column 1");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
            out.close();

            ObjectInput in = new ObjectInputStream(
                    new ByteArrayInputStream(buffer.toByteArray()));
            d2 = (DefaultStatisticalCategoryDataset) in.readObject();
            in.close();
        }
        catch (Exception e) {
            fail(e.toString());
        }
        assertEquals(d1, d2);
    }

    private static final double EPSILON = 0.0000000001;

    /**
     * Some checks for the add() method.
     */
    public void testAdd() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.0, 2.0, "R1", "C1");
        assertEquals(1.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
        assertEquals(2.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);

        // overwrite the value
        d1.add(10.0, 20.0, "R1", "C1");
        assertEquals(10.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
        assertEquals(20.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);
    }

    /**
     * Some checks for the getRangeLowerBound() method.
     */
    public void testGetRangeLowerBound() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.0, 2.0, "R1", "C1");
        assertEquals(1.0, d1.getRangeLowerBound(false), EPSILON);
        assertEquals(-1.0, d1.getRangeLowerBound(true), EPSILON);
    }

    /**
     * Some checks for the getRangeUpperBound() method.
     */
    public void testGetRangeUpperBound() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.0, 2.0, "R1", "C1");
        assertEquals(1.0, d1.getRangeUpperBound(false), EPSILON);
        assertEquals(3.0, d1.getRangeUpperBound(true), EPSILON);
    }

    /**
     * Some checks for the getRangeBounds() method.
     */
    public void testGetRangeBounds2() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.0, 2.0, "R1", "C1");
        assertEquals(new Range(1.0, 1.0), d1.getRangeBounds(false));
        assertEquals(new Range(-1.0, 3.0), d1.getRangeBounds(true));

        d1.add(10.0, 20.0, "R1", "C1");
        assertEquals(new Range(10.0, 10.0), d1.getRangeBounds(false));
        assertEquals(new Range(-10.0, 30.0), d1.getRangeBounds(true));
    }

    /**
     * Some checks for the remove method.
     */
    public void testRemove() {
        DefaultStatisticalCategoryDataset data
                = new DefaultStatisticalCategoryDataset();

        boolean pass = false;
        try {
            data.remove("R1", "R2");
        }
        catch (UnknownKeyException e) {
            pass = true;
        }
        assertTrue(pass);
        data.add(1.0, 0.5, "R1", "C1");
        assertEquals(new Range(1.0, 1.0), data.getRangeBounds(false));
        assertEquals(new Range(0.5, 1.5), data.getRangeBounds(true));

        data.add(1.4, 0.2, "R2", "C1");

        assertEquals(1.0, data.getRangeLowerBound(false), EPSILON);
        assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
        assertEquals(0.5, data.getRangeLowerBound(true), EPSILON);
        assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);

        data.remove("R1", "C1");

        assertEquals(1.4, data.getRangeLowerBound(false), EPSILON);
        assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
        assertEquals(1.2, data.getRangeLowerBound(true), EPSILON);
        assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
    }


}