/** 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);
}
/** 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);
}
/** 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);
}
/** 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);
}
/** 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));
}
/** 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 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 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));
}
/** 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);
}
