/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-present, by David Gilbert 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.]
 *
 * ------------------------------------------
 * DefaultStatisticalCategoryDatasetTest.java
 * ------------------------------------------
 * (C) Copyright 2005-present, by David Gilbert and Contributors.
 *
 * Original Author:  David Gilbert;
 * Contributor(s):   -;
 *
 */

package org.jfree.data.statistics;

import org.jfree.chart.TestUtils;

import org.jfree.data.Range;
import org.jfree.data.UnknownKeyException;
import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.*;

/**
 * Tests for the {@link DefaultStatisticalCategoryDataset} class.
 */
public class DefaultStatisticalCategoryDatasetTest {

    /**
     * Some checks for the getRangeBounds() method.
     */
    @Test
    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.
     */
    @Test
    public void testEquals() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        DefaultStatisticalCategoryDataset d2
                = new DefaultStatisticalCategoryDataset();
        assertEquals(d1, d2);
        assertEquals(d2, d1);

    }

    /**
     * Some checks for cloning.
     */
    @Test
    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, 5.5, "R1", "C3");
        d1.add(6.6, null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            d2 = (DefaultStatisticalCategoryDataset) d1.clone();
        }
        catch (CloneNotSupportedException e) {
            fail(e.toString());
        }
        assertNotSame(d1, d2);
        assertSame(d1.getClass(), d2.getClass());
        assertEquals(d1, d2);

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

    /**
     * Check serialization of a default instance.
     */
    @Test
    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, 5.5, "R1", "C3");
        d1.add(6.6, null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = TestUtils.serialised(d1);
        assertEquals(d1, d2);
    }

    /**
     * Check serialization of a more complex instance.
     */
    @Test
    public void testSerialization2() {
        DefaultStatisticalCategoryDataset d1
            = new DefaultStatisticalCategoryDataset();
        d1.add(1.2, 3.4, "Row 1", "Column 1");
        DefaultStatisticalCategoryDataset d2 = TestUtils.serialised(d1);
        assertEquals(d1, d2);
    }

    private static final double EPSILON = 0.0000000001;

    /**
     * Some checks for the add() method.
     */
    @Test
    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.
     */
    @Test
    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.
     */
    @Test
    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.
     */
    @Test
    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.
     */
    @Test
    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.
     */
    @Test
    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);
    }


}
