#region License Information /* HeuristicLab * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Data; using HeuristicLab.Tests; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Encodings.IntegerVectorEncoding.Tests { /// ///This is a test class for UniformOnePositionManipulator and is intended ///to contain all UniformOnePositionManipulator Unit Tests /// [TestClass()] public class UniformOnePositionManipulatorTest { /// ///A test for Apply /// [TestMethod()] [TestCategory("Encodings.IntegerVector")] [TestProperty("Time", "short")] public void UniformOnePositionManipulatorApplyTest() { TestRandom random = new TestRandom(); IntegerVector parent, expected; IntMatrix bounds = new IntMatrix(1, 2); // The following test is not based on published examples random.Reset(); random.IntNumbers = new int[] { 3, 3 }; parent = new IntegerVector(new int[] { 2, 2, 3, 5, 1 }); expected = new IntegerVector(new int[] { 2, 2, 3, 3, 1 }); bounds[0, 0] = 2; bounds[0, 1] = 7; UniformOnePositionManipulator.Apply(random, parent, bounds); Assert.IsTrue(Auxiliary.IntegerVectorIsEqualByPosition(expected, parent)); } } }