1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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25 | using HeuristicLab.Encodings.PermutationEncoding;
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26 |
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27 | namespace HeuristicLab.Encodings.PermutationEncoding_33.Tests {
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28 | /// <summary>
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29 | ///This is a test class for OrderCrossoverTest and is intended
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30 | ///to contain all OrderCrossoverTest Unit Tests
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31 | ///</summary>
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32 | [TestClass()]
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33 | public class OrderCrossoverTest {
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34 |
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35 |
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36 | private TestContext testContextInstance;
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37 |
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38 | /// <summary>
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39 | ///Gets or sets the test context which provides
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40 | ///information about and functionality for the current test run.
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41 | ///</summary>
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42 | public TestContext TestContext {
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43 | get {
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44 | return testContextInstance;
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45 | }
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46 | set {
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47 | testContextInstance = value;
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48 | }
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49 | }
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50 |
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51 | #region Additional test attributes
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52 | //
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53 | //You can use the following additional attributes as you write your tests:
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54 | //
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55 | //Use ClassInitialize to run code before running the first test in the class
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56 | //[ClassInitialize()]
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57 | //public static void MyClassInitialize(TestContext testContext)
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58 | //{
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59 | //}
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60 | //
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61 | //Use ClassCleanup to run code after all tests in a class have run
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62 | //[ClassCleanup()]
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63 | //public static void MyClassCleanup()
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64 | //{
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65 | //}
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66 | //
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67 | //Use TestInitialize to run code before running each test
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68 | //[TestInitialize()]
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69 | //public void MyTestInitialize()
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70 | //{
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71 | //}
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72 | //
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73 | //Use TestCleanup to run code after each test has run
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74 | //[TestCleanup()]
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75 | //public void MyTestCleanup()
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76 | //{
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77 | //}
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78 | //
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79 | #endregion
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80 |
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81 |
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82 | /// <summary>
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83 | ///A test for Cross
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84 | ///</summary>
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85 | [TestMethod()]
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86 | [DeploymentItem("HeuristicLab.Encodings.PermutationEncoding-3.3.dll")]
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87 | public void OrderCrossoverCrossTest() {
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88 | TestRandom random = new TestRandom();
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89 | OrderCrossover_Accessor target =
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90 | new OrderCrossover_Accessor(new PrivateObject(typeof(OrderCrossover)));
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91 | // perform a test with more than two parents
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92 | random.Reset();
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93 | bool exceptionFired = false;
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94 | try {
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95 | target.Cross(random, new ItemArray<Permutation>(new Permutation[] {
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96 | new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));
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97 | } catch (System.InvalidOperationException) {
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98 | exceptionFired = true;
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99 | }
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100 | Assert.IsTrue(exceptionFired);
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101 | }
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102 |
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103 | /// <summary>
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104 | ///A test for Apply
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105 | ///</summary>
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106 | [TestMethod()]
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107 | public void OrderCrossoverApplyTest() {
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108 | TestRandom random = new TestRandom();
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109 | Permutation parent1, parent2, expected, actual;
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110 | // The following test is based on an example from Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg, pp. 55-56
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111 | random.Reset();
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112 | random.IntNumbers = new int[] { 3, 6 };
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113 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
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114 | Assert.IsTrue(parent1.Validate());
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115 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 8, 2, 6, 7, 1, 5, 4, 0, 3 });
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116 | Assert.IsTrue(parent2.Validate());
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117 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 7, 1, 3, 4, 5, 6, 0, 8 });
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118 | Assert.IsTrue(expected.Validate());
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119 | actual = OrderCrossover.Apply(random, parent1, parent2);
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120 | Assert.IsTrue(actual.Validate());
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121 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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122 | // The following test is based on an example from Larranaga, P. et al. 1999. Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. Artificial Intelligence Review, 13, pp. 129-170.
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123 | random.Reset();
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124 | random.IntNumbers = new int[] { 2, 4 };
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125 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
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126 | Assert.IsTrue(parent1.Validate());
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127 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 1, 3, 5, 7, 6, 4, 2, 0 });
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128 | Assert.IsTrue(parent2.Validate());
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129 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 6, 2, 3, 4, 0, 1, 5 });
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130 | actual = OrderCrossover.Apply(random, parent1, parent2);
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131 | Assert.IsTrue(actual.Validate());
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132 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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133 | // The following test is based on an example from Talbi, E.G. 2009. Metaheuristics - From Design to Implementation. Wiley, p. 218.
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134 | random.Reset();
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135 | random.IntNumbers = new int[] { 2, 5 };
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136 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 });
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137 | Assert.IsTrue(parent1.Validate());
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138 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 7, 3, 0, 4, 8, 2, 5, 1, 6 });
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139 | Assert.IsTrue(parent2.Validate());
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140 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 0, 8, 2, 3, 4, 5, 1, 6, 7 });
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141 | Assert.IsTrue(expected.Validate());
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142 | actual = OrderCrossover.Apply(random, parent1, parent2);
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143 | Assert.IsTrue(actual.Validate());
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144 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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145 | // The following test is not based on published examples
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146 | random.Reset();
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147 | random.IntNumbers = new int[] { 0, 5 };
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148 | parent1 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
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149 | Assert.IsTrue(parent1.Validate());
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150 | parent2 = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 5, 3, 4, 0, 9, 8, 2, 7, 1, 6 });
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151 | Assert.IsTrue(parent2.Validate());
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152 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 5, 0, 9 });
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153 | Assert.IsTrue(expected.Validate());
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154 | actual = OrderCrossover.Apply(random, parent1, parent2);
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155 | Assert.IsTrue(actual.Validate());
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156 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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157 | // based on the previous with changed breakpoints
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158 | random.Reset();
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159 | random.IntNumbers = new int[] { 6, 9 };
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160 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 3, 4, 8, 2, 7, 1, 6, 0, 5, 9 });
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161 | Assert.IsTrue(expected.Validate());
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162 | actual = OrderCrossover.Apply(random, parent1, parent2);
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163 | Assert.IsTrue(actual.Validate());
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164 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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165 | // another one based on the previous with changed breakpoints
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166 | random.Reset();
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167 | random.IntNumbers = new int[] { 0, 9 };
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168 | expected = new Permutation(PermutationTypes.RelativeUndirected, new int[] { 2, 1, 4, 3, 7, 8, 6, 0, 5, 9 });
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169 | Assert.IsTrue(expected.Validate());
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170 | actual = OrderCrossover.Apply(random, parent1, parent2);
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171 | Assert.IsTrue(actual.Validate());
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172 | Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual));
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173 |
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174 | // perform a test when the two permutations are of unequal length
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175 | random.Reset();
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176 | bool exceptionFired = false;
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177 | try {
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178 | OrderCrossover.Apply(random, new Permutation(PermutationTypes.RelativeUndirected, 8), new Permutation(PermutationTypes.RelativeUndirected, 6));
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179 | } catch (System.ArgumentException) {
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180 | exceptionFired = true;
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181 | }
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182 | Assert.IsTrue(exceptionFired);
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183 | }
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184 | }
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185 | }
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