/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2011, 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.
 *
 * [Oracle and Java are registered trademarks of Oracle and/or its affiliates. 
 * Other names may be trademarks of their respective owners.]
 *
 * -------------------------------------------
 * DefaultStatisticalCategoryDatasetTests.java
 * -------------------------------------------
 * (C) Copyright 2005-2011, 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);
    }

    /**
     * A test for bug 3072674.
     */
    public void test3072674() {
        DefaultStatisticalCategoryDataset dataset
                = new DefaultStatisticalCategoryDataset();
        dataset.add(1.0, Double.NaN, "R1", "C1");
        assertEquals(1.0, dataset.getRangeLowerBound(true), EPSILON);
        assertEquals(1.0, dataset.getRangeUpperBound(true), EPSILON);
        
        Range r = dataset.getRangeBounds(true);
        assertEquals(1.0, r.getLowerBound(), EPSILON);
        assertEquals(1.0, r.getUpperBound(), EPSILON);
    }


}
