/** 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); }