/** Test of getParameters method, of class MultivariatePolyaDistribution. */ public void testGetParameters() { System.out.println("getParameters"); MultivariatePolyaDistribution instance = this.createInstance(); Vector p = instance.getParameters().scale(2.0); instance.setParameters(p); assertEquals(p, instance.getParameters()); }
/** Test of getNumTrials method, of class MultivariatePolyaDistribution. */ public void testGetNumTrials() { System.out.println("getNumTrials"); int numTrials = RANDOM.nextInt(100) + 1; MultivariatePolyaDistribution instance = this.createInstance(); instance.setNumTrials(numTrials); assertEquals(numTrials, instance.getNumTrials()); }
@Override public void testKnownConvertToVector() { System.out.println("Known convertToVector"); MultivariatePolyaDistribution instance = this.createInstance(); Vector p = instance.convertToVector(); assertEquals(instance.getInputDimensionality(), p.getDimensionality()); assertNotSame(p, instance.getParameters()); assertEquals(p, instance.getParameters()); }
/** Test of setNumTrials method, of class MultivariatePolyaDistribution. */ public void testSetNumTrials() { System.out.println("setNumTrials"); int numTrials = RANDOM.nextInt(100) + 1; MultivariatePolyaDistribution instance = this.createInstance(); instance.setNumTrials(numTrials); assertEquals(numTrials, instance.getNumTrials()); try { instance.setNumTrials(0); fail("numTrials must be > 0"); } catch (Exception e) { System.out.println("Good: " + e); } }
/** Test of setParameters method, of class MultivariatePolyaDistribution. */ public void testSetParameters() { System.out.println("setParameters"); MultivariatePolyaDistribution instance = this.createInstance(); Vector p = instance.getParameters().scale(2.0); instance.setParameters(p); assertEquals(p, instance.getParameters()); p.setElement(0, 0.0); try { instance.setParameters(p); fail("Parameters must be > 0.0"); } catch (Exception e) { System.out.println("Good: " + e); } try { instance.setParameters(null); fail("Cannot have null parameters"); } catch (Exception e) { System.out.println("Good: " + e); } try { instance.setParameters(VectorFactory.getDefault().copyValues(1.0)); fail("Must have dimensionality >= 2"); } catch (Exception e) { System.out.println("Good: " + e); } }
/** Test of getDomain method, of class MultivariatePolyaDistribution. */ public void testKnownGetDomain() { System.out.println("getDomain"); MultivariatePolyaDistribution instance = this.createInstance(); int count = 0; MultinomialDistribution.Domain domain = instance.getDomain(); System.out.println("Enumerating all subsets: " + domain.size()); for (Vector subset : domain) { System.out.println("Subset: " + subset); count++; } assertEquals(count, domain.size()); Iterator<Vector> iterator = domain.iterator(); try { iterator.remove(); fail("Cannot remove"); } catch (Exception e) { System.out.println("Good: " + e); } try { iterator = new MultinomialDistribution.Domain(0, 10).iterator(); fail("numClasses must be > 0"); } catch (Exception e) { System.out.println("Good: " + e); } try { iterator = new MultinomialDistribution.Domain(3, -1).iterator(); fail("numTrials must be >= 0"); } catch (Exception e) { System.out.println("Good: " + e); } }
/** Tests the constructors of class MultivariatePolyaDistributionTest. */ @Override public void testConstructors() { System.out.println("Constructors"); MultivariatePolyaDistribution instance = new MultivariatePolyaDistribution(); assertEquals( MultivariatePolyaDistribution.DEFAULT_DIMENSIONALITY, instance.getInputDimensionality()); assertEquals(MultivariatePolyaDistribution.DEFAULT_NUM_TRIALS, instance.getNumTrials()); int dim = RANDOM.nextInt(100) + 10; int numTrials = RANDOM.nextInt(100) + 10; instance = new MultivariatePolyaDistribution(dim, numTrials); assertEquals(dim, instance.getInputDimensionality()); assertEquals(numTrials, instance.getNumTrials()); Vector p = VectorFactory.getDefault().createUniformRandom(dim, 0.0, 10.0, RANDOM); instance = new MultivariatePolyaDistribution(p, numTrials); assertSame(p, instance.getParameters()); assertEquals(numTrials, instance.getNumTrials()); MultivariatePolyaDistribution i2 = new MultivariatePolyaDistribution(instance); assertNotSame(i2.getParameters(), instance.getParameters()); assertEquals(i2.getParameters(), instance.getParameters()); assertEquals(i2.getNumTrials(), instance.getNumTrials()); }
/** Test of getInputDimensionality method, of class MultivariatePolyaDistribution. */ public void testGetInputDimensionality() { System.out.println("getInputDimensionality"); MultivariatePolyaDistribution instance = this.createInstance(); assertEquals(instance.getInputDimensionality(), instance.getParameters().getDimensionality()); }