1 | using System.Linq;
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2 | // ReSharper disable PossibleNullReferenceException
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3 |
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4 | namespace HeuristicLab.Tests.Benchmark {
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5 | using System;
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6 | using System.Threading;
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7 |
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8 | using HeuristicLab.Algorithms.GeneticAlgorithm;
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9 | using HeuristicLab.BenchmarkSuite;
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10 | using HeuristicLab.BenchmarkSuite.Problems;
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11 | using HeuristicLab.Data;
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12 | using HeuristicLab.ParallelEngine;
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13 | using HeuristicLab.Problems.ProgramSynthesis.Push.Analyzer;
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14 | using HeuristicLab.Problems.ProgramSynthesis.Push.Crossover;
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15 | using HeuristicLab.Problems.ProgramSynthesis.Push.Manipulator;
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16 | using HeuristicLab.Problems.ProgramSynthesis.Push.Problem.BenchmarkSuite;
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17 | using HeuristicLab.Problems.ProgramSynthesis.Push.Selector;
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18 |
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19 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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20 |
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21 | [TestClass]
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22 | public class GpTests {
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23 |
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24 | [TestMethod]
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25 | [TestProperty("Time", "Long")]
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26 | [TestCategory("ProblemTest")]
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27 | public void Checksum() {
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28 | Run<Checksum>();
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29 | }
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30 |
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31 | [TestMethod]
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32 | [TestProperty("Time", "Long")]
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33 | [TestCategory("ProblemTest")]
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34 | public void CollatzNumbers() {
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35 | Run<CollatzNumbers>();
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36 | }
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37 |
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38 | [TestMethod]
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39 | [TestProperty("Time", "Long")]
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40 | [TestCategory("ProblemTest")]
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41 | public void CompareStringLengths() {
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42 | Run<CompareStringLengths>();
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43 | }
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44 |
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45 | [TestMethod]
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46 | [TestProperty("Time", "Long")]
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47 | [TestCategory("ProblemTest")]
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48 | public void CountOdds() {
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49 | Run<CountOdds>();
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50 | }
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51 |
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52 | [TestMethod]
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53 | [TestProperty("Time", "Long")]
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54 | [TestCategory("ProblemTest")]
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55 | public void Digits() {
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56 | Run<Digits>();
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57 | }
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58 |
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59 | [TestMethod]
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60 | [TestProperty("Time", "Long")]
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61 | [TestCategory("ProblemTest")]
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62 | public void DoubleLetters() {
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63 | Run<DoubleLetters>();
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64 | }
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65 |
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66 | [TestMethod]
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67 | [TestProperty("Time", "Long")]
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68 | [TestCategory("ProblemTest")]
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69 | public void EvenSquares() {
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70 | Run<EvenSquares>();
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71 | }
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72 |
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73 | [TestMethod]
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74 | [TestProperty("Time", "Long")]
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75 | [TestCategory("ProblemTest")]
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76 | public void ForLoopIndex() {
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77 | Run<ForLoopIndex>();
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78 | }
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79 |
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80 | [TestMethod]
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81 | [TestProperty("Time", "Long")]
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82 | [TestCategory("ProblemTest")]
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83 | public void Grades() {
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84 | Run<Grades>();
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85 | }
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86 |
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87 | [TestMethod]
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88 | [TestProperty("Time", "Long")]
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89 | [TestCategory("ProblemTest")]
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90 | public void LastIndexOfZero() {
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91 | Run<LastIndexOfZero>();
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92 | }
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93 |
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94 | [TestMethod]
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95 | [TestProperty("Time", "Long")]
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96 | [TestCategory("ProblemTest")]
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97 | public void Median() {
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98 | Run<Median>();
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99 | }
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100 |
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101 | [TestMethod]
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102 | [TestProperty("Time", "Long")]
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103 | [TestCategory("ProblemTest")]
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104 | public void MirrorImage() {
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105 | Run<MirrorImage>();
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106 | }
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107 |
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108 | [TestMethod]
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109 | [TestProperty("Time", "Long")]
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110 | [TestCategory("ProblemTest")]
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111 | public void NegativeToZero() {
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112 | Run<NegativeToZero>();
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113 | }
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114 |
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115 | [TestMethod]
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116 | [TestProperty("Time", "Long")]
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117 | [TestCategory("ProblemTest")]
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118 | public void NumberIo() {
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119 | Run<NumberIO>();
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120 | }
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121 |
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122 | [TestMethod]
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123 | [TestProperty("Time", "Long")]
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124 | [TestCategory("ProblemTest")]
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125 | public void PigLatin() {
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126 | Run<PigLatin>();
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127 | }
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128 |
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129 | [TestMethod]
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130 | [TestProperty("Time", "Long")]
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131 | [TestCategory("ProblemTest")]
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132 | public void ReplaceSpaceWithNewLine() {
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133 | Run<ReplaceSpaceWithNewline>();
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134 | }
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135 |
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136 | [TestMethod]
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137 | [TestProperty("Time", "Long")]
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138 | [TestCategory("ProblemTest")]
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139 | public void ScrabbleScore() {
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140 | Run<ScrabbleScore>();
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141 | }
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142 |
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143 | [TestMethod]
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144 | [TestProperty("Time", "Long")]
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145 | [TestCategory("ProblemTest")]
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146 | public void Smallest() {
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147 | Run<Smallest>();
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148 | }
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149 |
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150 | [TestMethod]
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151 | [TestProperty("Time", "Long")]
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152 | [TestCategory("ProblemTest")]
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153 | public void SmallOrLarge() {
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154 | Run<SmallOrLarge>();
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155 | }
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156 |
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157 | [TestMethod]
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158 | [TestProperty("Time", "Long")]
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159 | [TestCategory("ProblemTest")]
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160 | public void StringDifferences() {
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161 | Run<StringDifferences>();
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162 | }
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163 |
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164 | [TestMethod]
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165 | [TestProperty("Time", "Long")]
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166 | [TestCategory("ProblemTest")]
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167 | public void StringLengthsBackwards() {
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168 | Run<StringLengthsBackwards>();
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169 | }
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170 |
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171 | [TestMethod]
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172 | [TestProperty("Time", "Long")]
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173 | [TestCategory("ProblemTest")]
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174 | public void SumOfSquares() {
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175 | Run<SumOfSquares>();
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176 | }
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177 |
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178 | [TestMethod]
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179 | [TestProperty("Time", "Long")]
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180 | [TestCategory("ProblemTest")]
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181 | public void SuperAnagrams() {
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182 | Run<SuperAnagrams>();
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183 | }
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184 |
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185 | [TestMethod]
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186 | [TestProperty("Time", "Long")]
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187 | [TestCategory("ProblemTest")]
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188 | public void Syllables() {
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189 | Run<Syllables>();
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190 | }
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191 |
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192 | [TestMethod]
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193 | [TestProperty("Time", "Long")]
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194 | [TestCategory("ProblemTest")]
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195 | public void VectorAverage() {
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196 | Run<VectorAverage>();
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197 | }
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198 |
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199 | [TestMethod]
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200 | [TestProperty("Time", "Long")]
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201 | [TestCategory("ProblemTest")]
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202 | public void VectorSummed() {
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203 | Run<VectorSummed>();
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204 | }
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205 |
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206 | [TestMethod]
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207 | [TestProperty("Time", "Long")]
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208 | [TestCategory("ProblemTest")]
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209 | public void WallisPi() {
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210 | Run<WallisPi>();
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211 | }
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212 |
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213 | [TestMethod]
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214 | [TestProperty("Time", "Long")]
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215 | [TestCategory("ProblemTest")]
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216 | public void WordStats() {
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217 | Run<WordStats>();
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218 | }
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219 |
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220 | [TestMethod]
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221 | [TestProperty("Time", "Long")]
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222 | [TestCategory("ProblemTest")]
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223 | public void XWordLines() {
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224 | Run<XWordLines>();
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225 | }
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226 |
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227 | static void Run<T>() where T : IBenchmarkSuiteDataDescriptor, new() {
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228 | var trigger = new AutoResetEvent(false);
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229 | var alg = GetAlgorithm(new T());
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230 | Exception exception = null;
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231 |
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232 | alg.ExceptionOccurred += (sender, args) => {
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233 | exception = args.Value;
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234 | trigger.Set();
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235 | };
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236 |
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237 | alg.Stopped += (sender, args) => {
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238 | trigger.Set();
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239 | };
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240 |
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241 | var lastGeneration = -1;
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242 | alg.ExecutionTimeChanged += (sender, args) => {
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243 | if (!alg.Results.Any() || !alg.Results.ContainsKey("CurrentBestQuality")) return;
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244 |
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245 | var generation = (alg.Results["Generations"].Value as IntValue).Value;
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246 |
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247 | if (lastGeneration != -1 && generation == lastGeneration) return;
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248 |
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249 | Console.WriteLine(@"Generation: {0}", generation);
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250 |
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251 | if (alg.Results.ContainsKey("CurrentBestQuality")) {
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252 | var best = (alg.Results["CurrentBestQuality"].Value as DoubleValue).Value;
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253 | Console.WriteLine(@"CurrentBestQuality: {0}", best);
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254 | }
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255 |
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256 | if (alg.Results.ContainsKey("CurrentAverageQuality")) {
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257 | var average = (alg.Results["CurrentAverageQuality"].Value as DoubleValue).Value;
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258 | Console.WriteLine(@"CurrentAverageQuality: {0}", average);
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259 | }
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260 |
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261 | if (alg.Results.ContainsKey("CurrentWorstQuality")) {
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262 | var worst = (alg.Results["CurrentWorstQuality"].Value as DoubleValue).Value;
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263 | Console.WriteLine(@"CurrentWorstQuality: {0}", worst);
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264 | }
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265 |
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266 | Console.WriteLine();
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267 | lastGeneration = generation;
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268 | };
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269 |
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270 | alg.Prepare();
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271 | alg.Start();
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272 | trigger.WaitOne();
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273 |
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274 | if (exception != null) {
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275 | Console.WriteLine(exception.Message);
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276 | throw exception;
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277 | }
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278 |
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279 | var finalGeneration = (alg.Results["Generations"].Value as IntValue).Value;
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280 | var bestQuality = (alg.Results["CurrentBestQuality"].Value as DoubleValue).Value;
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281 | var averageQuality = (alg.Results["CurrentAverageQuality"].Value as DoubleValue).Value;
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282 | var worstQuality = (alg.Results["CurrentWorstQuality"].Value as DoubleValue).Value;
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283 |
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284 | Console.WriteLine(@"Final Generation: {0}", finalGeneration);
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285 | Console.WriteLine(@"CurrentBestQuality: {0}", bestQuality);
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286 | Console.WriteLine(@"CurrentAverageQuality: {0}", averageQuality);
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287 | Console.WriteLine(@"CurrentWorstQuality: {0}", worstQuality);
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288 | }
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289 |
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290 | static GeneticAlgorithm GetAlgorithm(IBenchmarkSuiteDataDescriptor descriptor) {
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291 | var ga = new GeneticAlgorithm();
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292 |
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293 | var problemData = descriptor.CreateProblemData();
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294 | var pushProblem = new PlushPushBenchmarkSuiteProblem();
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295 |
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296 | pushProblem.Load(problemData);
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297 | ga.Name = "GA " + pushProblem.Name;
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298 |
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299 | ga.Problem = pushProblem;
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300 |
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301 | var crossover = ga.CrossoverParameter.ValidValues.OfType<AlternationCrossover>().First();
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302 |
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303 | switch (problemData.ProblemType) {
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304 | case ProblemType.NumberIO:
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305 | case ProblemType.SmallOrLarge:
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306 | case ProblemType.Median:
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307 | case ProblemType.Smallest:
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308 | crossover.AlignmentDeviation = 5;
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309 | break;
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310 |
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311 | default:
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312 | crossover.AlignmentDeviation = 10;
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313 | break;
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314 | }
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315 |
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316 | crossover.AlternationRate = 0.01;
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317 | ga.Crossover = crossover;
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318 |
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319 | ga.Selector = ga.SelectorParameter.ValidValues.OfType<LexicaseSelector>().First();
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320 |
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321 | var mutator = ga.MutatorParameter.ValidValues.OfType<UniformMutation>().First();
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322 | mutator.InstructionMutationProbability = 0.875;
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323 | mutator.CloseMutationProbability = 0.125;
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324 | mutator.CloseIncrementRate = 0.1;
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325 | ga.Mutator = mutator;
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326 |
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327 | ga.MutationProbability.Value = 0.8;
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328 | ga.SetSeedRandomly.Value = true;
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329 | ga.PopulationSize.Value = 1000;
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330 |
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331 | ga.MaximumGenerations.Value = 9; // problemData.ProgramExecutionBudget / problemData.TrainingCount / 1000;
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332 |
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333 | // remove unnecessary analyzers to improve performance
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334 | pushProblem.OperatorsParameter.Value
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335 | .RemoveAll(analyzer =>
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336 | analyzer.GetType() == typeof(IndividualZeroErrorAnalyzer) ||
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337 | analyzer.GetType() == typeof(PushExpressionFrequencyAnalyzer));
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338 |
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339 | ga.Engine = new ParallelEngine();
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340 |
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341 | return ga;
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342 | }
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343 | }
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344 | }
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