/* ===========================================================
* JFreeChart : a free chart library for the Java(tm) platform
* ===========================================================
*
* (C) Copyright 2000-2012, 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;
import org.jfree.data.Range;
import org.jfree.data.UnknownKeyException;
import org.junit.Test;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.ObjectInput;
import java.io.ObjectInputStream;
import java.io.ObjectOutput;
import java.io.ObjectOutputStream;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertNotSame;
import static org.junit.Assert.assertNull;
import static org.junit.Assert.assertSame;
import static org.junit.Assert.fail;
/**
* 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() throws CloneNotSupportedException {
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 = (DefaultStatisticalCategoryDataset) d1.clone();
assertNotSame(d1, d2);
assertSame(d1.getClass(), d2.getClass());
assertEquals(d1, d2);
// check independence
d1.add(1.1, 2.2, "R3", "C1");
assertFalse(d1.equals(d2));
}
/**
* Check serialization of a default instance.
*/
@Test
public void testSerialization1() throws IOException, ClassNotFoundException {
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");
ByteArrayOutputStream buffer = new ByteArrayOutputStream();
ObjectOutput out = new ObjectOutputStream(buffer);
out.writeObject(d1);
out.close();
ObjectInput in = new ObjectInputStream(
new ByteArrayInputStream(buffer.toByteArray()));
DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) in.readObject();
in.close();
assertEquals(d1, d2);
}
/**
* Check serialization of a more complex instance.
*/
@Test
public void testSerialization2() throws IOException, ClassNotFoundException {
DefaultStatisticalCategoryDataset d1
= new DefaultStatisticalCategoryDataset();
d1.add(1.2, 3.4, "Row 1", "Column 1");
ByteArrayOutputStream buffer = new ByteArrayOutputStream();
ObjectOutput out = new ObjectOutputStream(buffer);
out.writeObject(d1);
out.close();
ObjectInput in = new ObjectInputStream(
new ByteArrayInputStream(buffer.toByteArray()));
DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) in.readObject();
in.close();
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();
try {
data.remove("R1", "R2");
fail("UnknownKeyException should have been thrown on the unknown key");
}
catch (UnknownKeyException e) {
assertEquals("Row key (R1) not recognised.", e.getMessage());
}
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);
}
}