/* * File: RectifiedLinearFunctionTest.java * Authors: Justin Basilico * Project: Cognitive Foundry * * Copyright 2014 Cognitive Foundry. All rights reserved. */ package gov.sandia.cognition.learning.function.scalar; import gov.sandia.cognition.math.DifferentiableUnivariateScalarFunction; import org.junit.Test; import static org.junit.Assert.*; /** * Unit tests for class {@link RectifiedLinearFunction}. * * @author Justin Basilico * @since 3.4.0 */ public class RectifiedLinearFunctionTest extends DifferentiableUnivariateScalarFunctionTestHarness { /** * Creates a new test. * * @param testName * The name of this test. */ public RectifiedLinearFunctionTest( final String testName) { super(testName); } @Override public RectifiedLinearFunction createInstance() { return new RectifiedLinearFunction(); } /** * Test of constructors, of class RectifiedLinearFunction. */ @Test public void testConstructors() { RectifiedLinearFunction instance = new RectifiedLinearFunction(); assertNotNull(instance); } /** * Test of clone method, of class RectifiedLinearFunction. */ @Test public void testClone() { RectifiedLinearFunction instance = new RectifiedLinearFunction(); RectifiedLinearFunction clone = instance.clone(); assertNotSame(instance, clone); assertNotNull(clone); assertNotSame(clone, instance.clone()); } /** * Test of evaluate method, of class RectifiedLinearFunction. */ @Test public void testEvaluate() { RectifiedLinearFunction instance = new RectifiedLinearFunction(); assertEquals(0.0, instance.evaluate(0.0), 0.0); assertEquals(0.1, instance.evaluate(0.1), 0.0); assertEquals(2.0, instance.evaluate(2.0), 0.0); assertEquals(123.0, instance.evaluate(123.0), 0.0); assertEquals(0.0, instance.evaluate(-0.1), 0.0); assertEquals(0.0, instance.evaluate(-2.0), 0.0); assertEquals(0.0, instance.evaluate(-123.0), 0.0); } /** * Test of differentiate method, of class RectifiedLinearFunction. */ @Test public void testDifferentiate() { RectifiedLinearFunction instance = new RectifiedLinearFunction(); assertEquals(0.0, instance.differentiate(0.0), 0.0); assertEquals(1.0, instance.differentiate(0.1), 0.0); assertEquals(1.0, instance.differentiate(2.0), 0.0); assertEquals(1.0, instance.differentiate(123.0), 0.0); assertEquals(0.0, instance.differentiate(-0.1), 0.0); assertEquals(0.0, instance.differentiate(-2.0), 0.0); assertEquals(0.0, instance.differentiate(-123.0), 0.0); } }