/* * File: AbstractConfidenceStatisticTest.java * Authors: Kevin R. Dixon * Company: Sandia National Laboratories * Project: Cognitive Foundry * * Copyright Nov 26, 2007, Sandia Corporation. Under the terms of Contract * DE-AC04-94AL85000, there is a non-exclusive license for use of this work by * or on behalf of the U.S. Government. Export of this program may require a * license from the United States Government. See CopyrightHistory.txt for * complete details. * * */ package gov.sandia.cognition.statistics.method; import junit.framework.TestCase; /** * JUnit tests for class AbstractConfidenceStatisticTest * @author Kevin R. Dixon */ public class AbstractConfidenceStatisticTest extends TestCase { public static class ACS extends AbstractConfidenceStatistic { public ACS( double prob ) { super( prob ); } @Override public ACS clone() { return new ACS( this.getNullHypothesisProbability() ); } @Override public double getTestStatistic() { return 1.0; } } public ACS createInstance() { return new ACS( Math.random() ); } /** * Entry point for JUnit tests for class AbstractConfidenceStatisticTest * @param testName name of this test */ public AbstractConfidenceStatisticTest( String testName ) { super( testName ); } /** * Test of clone method, of class AbstractConfidenceStatistic. */ public void testClone() { System.out.println( "clone" ); ACS instance = this.createInstance(); ACS clone = instance.clone(); assertNotSame( instance, clone ); assertEquals( instance.getNullHypothesisProbability(), clone.getNullHypothesisProbability() ); } /** * Test of getNullHypothesisProbability method, of class AbstractConfidenceStatistic. */ public void testGetNullHypothesisProbability() { System.out.println( "getNullHypothesisProbability" ); double prob = Math.random(); ACS instance = new ACS( prob ); assertEquals( prob, instance.getNullHypothesisProbability() ); } /** * Test of setNullHypothesisProbability method, of class AbstractConfidenceStatistic. */ public void testSetNullHypothesisProbability() { System.out.println( "setNullHypothesisProbability" ); double prob = Math.random(); ACS instance = new ACS( prob ); assertEquals( prob, instance.getNullHypothesisProbability() ); prob *= 0.5; instance.setNullHypothesisProbability( prob ); assertEquals( prob, instance.getNullHypothesisProbability() ); instance.setNullHypothesisProbability( 0.0 ); instance.setNullHypothesisProbability( 1.0 ); try { instance.setNullHypothesisProbability( -1.0 ); fail( "Prob must be [0,1]" ); } catch (Exception e) { System.out.println( "Good: " + e ); } try { instance.setNullHypothesisProbability( 2.0 ); fail( "Prob must be [0,1]" ); } catch (Exception e) { System.out.println( "Good: " + e ); } } }