/* * File: IdentityScalarFunctionTest.java * Authors: Justin Basilico * Project: Cognitive Foundry Learning Core * * Copyright 2012 Cognitive Foundry. All rights reserved. */ package gov.sandia.cognition.learning.function.scalar; /** * Unit tests for class IdentityScalarFunction. * * @author Justin Basilico * @since 3.3.3 */ public class IdentityScalarFunctionTest extends DifferentiableUnivariateScalarFunctionTestHarness { /** * Creates a new test. * * @param testName * The name of the test. */ public IdentityScalarFunctionTest( final String testName) { super(testName); } @Override public IdentityScalarFunction createInstance() { return new IdentityScalarFunction(); } /** * Test of constructors of class IdentityScalarFunction. */ public void testConstructors() { IdentityScalarFunction instance = new IdentityScalarFunction(); assertNotNull(instance); } /** * Test of clone method, of class IdentityScalarFunction. */ public void testClone() { IdentityScalarFunction instance = new IdentityScalarFunction(); IdentityScalarFunction clone = instance.clone(); assertNotSame(instance, clone); assertNotSame(clone, instance.clone()); assertNotSame(clone, clone.clone()); } /** * Test of evaluate method, of class IdentityScalarFunction. */ public void testEvaluate_Double() { for (int i = 0; i < NUM_SAMPLES; i++) { IdentityScalarFunction instance = new IdentityScalarFunction(); Double input = RANDOM.nextDouble(); assertSame(input, instance.evaluate(input)); } } /** * Test of evaluate method, of class IdentityScalarFunction. */ public void testEvaluate_double() { for (int i = 0; i < NUM_SAMPLES; i++) { IdentityScalarFunction instance = new IdentityScalarFunction(); double input = RANDOM.nextDouble(); assertEquals(input, instance.evaluate(input)); } } /** * Test of evaluateAsDouble method, of class IdentityScalarFunction. */ public void testEvaluateAsDouble() { for (int i = 0; i < NUM_SAMPLES; i++) { IdentityScalarFunction instance = new IdentityScalarFunction(); double input = RANDOM.nextDouble(); assertEquals(input, instance.evaluateAsDouble(input)); } } /** * Test of differentiate method, of class IdentityScalarFunction. */ public void testDifferentiate() { for (int i = 0; i < NUM_SAMPLES; i++) { IdentityScalarFunction instance = new IdentityScalarFunction(); double input = RANDOM.nextDouble(); assertEquals(1.0, instance.differentiate(input)); } } }