/** 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());
}
