1 | using System.Collections.ObjectModel;
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2 | using System.Security.AccessControl;
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3 | using System.Text;
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4 | using System.Threading;
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5 | using System.Windows.Documents;
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6 | using System.Xml.Serialization;
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7 | using Evaluation.ViewModel;
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8 | using HeuristicLab.Algorithms.Bandits;
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9 | using HeuristicLab.Algorithms.Bandits.BanditPolicies;
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10 | using HeuristicLab.Algorithms.GeneticProgramming;
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11 | using HeuristicLab.Algorithms.GrammaticalOptimization;
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12 | using HeuristicLab.Algorithms.MonteCarloTreeSearch;
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13 | using HeuristicLab.Algorithms.MonteCarloTreeSearch.Simulation;
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14 | using HeuristicLab.Problems.GrammaticalOptimization;
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15 | using Microsoft.Research.DynamicDataDisplay;
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16 | using Microsoft.Research.DynamicDataDisplay.DataSources;
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17 | using System;
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18 | using System.Collections.Generic;
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19 | using System.ComponentModel;
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20 | using System.Diagnostics;
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21 | using System.IO;
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22 | using System.Windows;
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23 | using System.Windows.Controls;
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24 | using System.Windows.Threading;
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25 | using Microsoft.Win32;
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26 | using WpfTestSvgSample;
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27 |
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28 | namespace Evaluation
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29 | {
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30 | /// <summary>
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31 | /// Interaction logic for MainWindow.xaml
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32 | /// </summary>
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33 | public partial class MainWindow : Window
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34 | {
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35 | private EvaluationViewModel vm;
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36 |
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37 | private DrawingPage treeDrawingPage;
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38 |
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39 | public MainWindow()
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40 | {
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41 | InitializeComponent();
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42 | CenterWindowOnScreen();
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43 | this.DataContext = vm = new EvaluationViewModel();
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44 | vm.MaxLen = 100;
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45 | vm.MaxIterations = 1000000;
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46 | vm.NrRuns = 10;
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47 | }
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48 |
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49 | private void CenterWindowOnScreen()
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50 | {
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51 | double screenWidth = System.Windows.SystemParameters.PrimaryScreenWidth;
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52 | double screenHeight = System.Windows.SystemParameters.PrimaryScreenHeight;
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53 | double windowWidth = this.Width;
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54 | double windowHeight = this.Height;
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55 | this.Left = (screenWidth / 2) - (windowWidth / 2);
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56 | this.Top = (screenHeight / 2) - (windowHeight / 2);
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57 | }
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58 |
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59 | private void DrawQualityChart(Run run)
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60 | {
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61 | List<FoundSolution> solutions = new List<FoundSolution>(run.FoundSolutions);
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62 |
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63 | if (run.BestSolutionFoundAt < run.Evaluations)
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64 | {
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65 | solutions.Add(new FoundSolution(run.EndTime, run.Evaluations, run.BestQuality, run.BestSolution));
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66 | }
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67 |
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68 | var ds = new EnumerableDataSource<FoundSolution>(solutions);
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69 |
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70 |
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71 | ds.SetXMapping(x => x.Iteration);
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72 | ds.SetYMapping(y => y.Quality);
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73 |
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74 | LineGraph graph = new LineGraph(ds);
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75 |
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76 | graph.StrokeThickness = 2;
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77 | graph.AddToPlotter(QualityChartPlotter);
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78 | }
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79 |
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80 | private void DrawSelectionChart(Run run)
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81 | {
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82 | List<SelectionIndicator> selectionIndicators = new List<SelectionIndicator>(run.SelectionIndicators);
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83 |
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84 | var ds = new EnumerableDataSource<SelectionIndicator>(selectionIndicators);
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85 |
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86 | ds.SetXMapping(x => x.TotalSelections);
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87 | ds.SetYMapping(y => y.Indicator);
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88 |
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89 | LineGraph graph = new LineGraph(ds);
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90 |
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91 | graph.StrokeThickness = 2;
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92 | graph.AddToPlotter(SelectionChartPlotter);
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93 | }
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94 |
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95 | private void DrawTreeChart(Run run)
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96 | {
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97 | if (!string.IsNullOrEmpty(run.SvgFile))
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98 | {
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99 | treeDrawingPage.LoadDocument(run.SvgFile);
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100 | }
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101 | }
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102 |
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103 | private void DoRun(Object threadContext)
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104 | {
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105 | Run run = (Run)threadContext;
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106 | run.RunState = RunState.Running;
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107 | run.StartTime = DateTime.Now;
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108 |
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109 | run.Solver.Run(run.MaxIterations);
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110 |
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111 | run.EndTime = DateTime.Now;
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112 | run.RunState = RunState.Analyzing;
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113 |
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114 | if (run.FoundSolutions.Count > 0)
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115 | {
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116 | if (run.Solver is MonteCarloTreeSearch)
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117 | {
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118 | MonteCarloTreeSearch mctsSolver = (MonteCarloTreeSearch)run.Solver;
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119 |
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120 | run.TreeInfos = mctsSolver.GetTreeInfos();
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121 |
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122 | //byte[] output = mctsSolver.GenerateSvg();
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123 | //if (output != null && output.Length > 0)
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124 | //{
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125 | // run.SvgFile = string.Format("MCTS_SVG_#{0}_{1}.svg", run.RunNumber, DateTime.Now.Ticks);
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126 | // File.WriteAllBytes(run.SvgFile, mctsSolver.GenerateSvg());
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127 | //}
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128 | }
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129 | }
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130 | run.RunState = RunState.Finished;
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131 | lock (vm.CompletedRuns)
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132 | {
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133 | int completed = 0;
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134 | foreach (Run r in vm.Runs)
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135 | {
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136 | if (r.RunState == RunState.Finished)
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137 | {
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138 | completed++;
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139 | }
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140 | }
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141 | vm.CompletedRuns = string.Format("{0}/{1}", completed, vm.Runs.Count);
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142 | if (completed == vm.NrRuns)
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143 | {
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144 | Dispatcher.Invoke(AllRunsFinished);
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145 | }
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146 | }
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147 | }
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148 |
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149 | private void AllRunsFinished()
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150 | {
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151 | ButtonRun.IsEnabled = true;
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152 | TextBoxMaxIterations.IsEnabled = true;
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153 | TextBoxMaxLen.IsEnabled = true;
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154 | TextBoxRuns.IsEnabled = true;
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155 | }
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156 |
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157 | private void StartRuns()
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158 | {
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159 | vm.CompletedRuns = string.Format("0/{0}", vm.NrRuns);
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160 |
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161 | Type algorithmType = vm.SelectedAlgorithm;
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162 |
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163 | ISymbolicExpressionTreeProblem problem = vm.SelectedProblem;
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164 |
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165 |
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166 |
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167 | Type policy = vm.SelectedPolicy;
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168 | IBanditPolicy policyInstance = null;
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169 |
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170 | if (policy == typeof(UCTPolicy))
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171 | {
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172 | policyInstance = new UCTPolicy();
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173 | }
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174 | else if (policy == typeof(ThresholdAscentPolicy))
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175 | {
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176 | policyInstance = new ThresholdAscentPolicy();
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177 | }
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178 | else if (policy == typeof(BoltzmannExplorationPolicy))
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179 | {
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180 | policyInstance = new BoltzmannExplorationPolicy(2);
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181 | }
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182 | else
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183 | {
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184 | policyInstance = (IBanditPolicy)Activator.CreateInstance(policy);
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185 | }
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186 |
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187 | for (int i = 0; i < vm.NrRuns; i++)
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188 | {
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189 | ISolver solver = null;
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190 | Random random = new Random(Guid.NewGuid().GetHashCode());
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191 |
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192 | if (algorithmType == typeof(MonteCarloTreeSearch_PruneLeaves))
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193 | {
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194 | solver = new MonteCarloTreeSearch_PruneLeaves(problem, vm.MaxLen, random, policyInstance, new RandomSimulation(problem, random, vm.MaxLen));
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195 | }
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196 | else if (algorithmType == typeof(MonteCarloTreeSearch))
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197 | {
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198 | solver = new MonteCarloTreeSearch(problem, vm.MaxLen, random, policyInstance, new RandomSimulation(problem, random, vm.MaxLen));
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199 | }
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200 | else if (algorithmType == typeof(SequentialSearch))
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201 | {
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202 | solver = new SequentialSearch(problem, vm.MaxLen, random, 0,
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203 | new HeuristicLab.Algorithms.Bandits.GrammarPolicies.GenericGrammarPolicy(problem, policyInstance));
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204 | }
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205 | else if (algorithmType == typeof(RandomSearch))
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206 | {
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207 | solver = new RandomSearch(problem, random, vm.MaxLen);
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208 | }
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209 | else if (algorithmType == typeof(StandardGP))
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210 | {
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211 | solver = new StandardGP(problem, random);
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212 | }
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213 | else if (algorithmType == typeof(OffspringSelectionGP))
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214 | {
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215 | solver = new OffspringSelectionGP(problem, random);
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216 | }
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217 |
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218 | Run run = new Run(problem, policyInstance, solver, i + 1, vm.MaxIterations, vm.MaxLen);
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219 |
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220 | vm.Runs.Add(run);
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221 |
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222 | ThreadPool.QueueUserWorkItem(DoRun, run);
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223 | }
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224 | }
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225 |
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226 | private void ClearQualityChart()
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227 | {
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228 | QualityChartPlotter.Children.RemoveAll<LineGraph>();
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229 | }
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230 |
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231 | private void ClearComparisonChart()
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232 | {
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233 | ComparisonChartPlotter.Children.RemoveAll<LineGraph>();
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234 | }
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235 |
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236 | private void ClearSelectionChart()
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237 | {
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238 | SelectionChartPlotter.Children.RemoveAll<LineGraph>();
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239 | }
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240 |
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241 | private void ButtonRun_OnClick(object sender, RoutedEventArgs e)
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242 | {
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243 | ClearQualityChart();
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244 | ClearComparisonChart();
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245 | ClearSelectionChart();
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246 |
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247 | vm.Runs.Clear();
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248 | vm.SelectedRun = null;
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249 | ButtonRun.IsEnabled = false;
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250 | TextBoxMaxIterations.IsEnabled = false;
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251 | TextBoxMaxLen.IsEnabled = false;
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252 | TextBoxRuns.IsEnabled = false;
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253 | StartRuns();
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254 | }
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255 |
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256 | private void ButtonPause_OnClick(object sender, RoutedEventArgs e)
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257 | {
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258 | //if (vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch))
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259 | //{
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260 | // MonteCarloTreeSearch mcts = (MonteCarloTreeSearch)solver;
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261 | // mcts.PauseContinue();
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262 | // if (mcts.IsPaused)
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263 | // {
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264 | // ButtonPause.Content = "Continue";
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265 | // }
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266 | // else
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267 | // {
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268 | // ButtonPause.Content = "Pause";
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269 | // }
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270 | //}
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271 | }
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272 |
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273 | private void ButtonStop_OnClick(object sender, RoutedEventArgs e)
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274 | {
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275 | //worker.CancelAsync();
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276 | }
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277 |
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278 | private void ComboBoxAlgorithms_OnSelectionChanged(object sender, SelectionChangedEventArgs e)
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279 | {
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280 | if (vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch) || vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch_PruneLeaves))
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281 | {
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282 | ComboBoxPolicies.IsEnabled = true;
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283 | TabItemTree.IsEnabled = true;
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284 | }
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285 | else if (vm.SelectedAlgorithm == typeof(SequentialSearch))
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286 | {
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287 | ComboBoxPolicies.IsEnabled = true;
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288 | TabItemTree.IsEnabled = false;
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289 | }
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290 | else
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291 | {
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292 | ComboBoxPolicies.IsEnabled = false;
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293 | TabItemTree.IsEnabled = false;
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294 | }
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295 | }
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296 |
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297 | private void Window_Loaded(object sender, RoutedEventArgs e)
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298 | {
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299 | treeDrawingPage = treeDrawing.Content as DrawingPage;
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300 | }
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301 |
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302 | private void ListBoxRuns_OnSelectionChanged(object sender, SelectionChangedEventArgs e)
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303 | {
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304 | if (vm.SelectedRun != null)
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305 | {
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306 | vm.SelectedRun.Solver.FoundNewBestSolution -= SelectedRun_FoundNewBestSolution;
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307 | }
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308 | if (ListBoxRuns.SelectedItem != null)
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309 | {
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310 | vm.SelectedRun = (Run)ListBoxRuns.SelectedItem;
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311 |
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312 | vm.SelectedRun.Solver.FoundNewBestSolution += SelectedRun_FoundNewBestSolution;
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313 |
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314 | ClearQualityChart();
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315 | DrawQualityChart(vm.SelectedRun);
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316 |
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317 | if (vm.SelectedRun.RunState == RunState.Finished)
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318 | {
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319 | ClearSelectionChart();
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320 | DrawSelectionChart(vm.SelectedRun);
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321 | }
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322 | //DrawTreeChart(vm.SelectedRun);
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323 | }
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324 | else
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325 | {
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326 | vm.SelectedRun = null;
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327 | }
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328 | }
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329 |
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330 | void SelectedRun_FoundNewBestSolution(string arg1, double arg2)
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331 | {
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332 | Dispatcher.BeginInvoke(new Action(() =>
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333 | {
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334 | ClearQualityChart();
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335 | DrawQualityChart(vm.SelectedRun);
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336 | }));
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337 | }
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338 |
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339 | public void SaveToFile()
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340 | {
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341 | SaveFileDialog dlg = new SaveFileDialog();
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342 | dlg.FileName = "runs"; // Default file name
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343 | dlg.DefaultExt = ".xml"; // Default file extension
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344 |
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345 | // Show save file dialog box
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346 | Nullable<bool> result = dlg.ShowDialog();
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347 |
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348 | // Process save file dialog box results
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349 | if (result == true)
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350 | {
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351 | // Save document
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352 | string filename = dlg.FileName;
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353 |
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354 | XmlSerializer serializer = new XmlSerializer(typeof(ObservableCollection<Run>));
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355 | using (TextWriter writer = new StreamWriter(filename))
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356 | {
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357 | serializer.Serialize(writer, vm.Runs);
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358 | }
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359 | }
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360 |
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361 | }
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362 |
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363 | public void LoadFromFile()
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364 | {
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365 | OpenFileDialog dlg = new OpenFileDialog();
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366 |
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367 | // Show save file dialog box
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368 | Nullable<bool> result = dlg.ShowDialog();
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369 |
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370 | // Process save file dialog box results
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371 | if (result == true)
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372 | {
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373 | // Load document
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374 | string filename = dlg.FileName;
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375 |
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376 | XmlSerializer deserializer = new XmlSerializer(typeof(ObservableCollection<Run>));
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377 | using (TextReader reader = new StreamReader(filename))
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378 | {
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379 | object obj = deserializer.Deserialize(reader);
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380 | vm.Runs = (ObservableCollection<Run>)obj;
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381 |
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382 | }
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383 | }
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384 | }
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385 |
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386 | private void LoadButton_OnClick(object sender, RoutedEventArgs e)
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387 | {
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388 | LoadFromFile();
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389 | }
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390 |
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391 | private void SaveButton_OnClick(object sender, RoutedEventArgs e)
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392 | {
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393 | SaveToFile();
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394 | }
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395 |
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396 | private void MenuItemCopyToClipboard_OnClick(object sender, RoutedEventArgs e)
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397 | {
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398 | StringBuilder tableExport = new StringBuilder();
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399 | tableExport.Append(
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400 | "Run\tMaxIterations\tEvaluations\tBestKnownQuality\tQuality\tQuality %\tFoundAt\tTotalTime\tSolutionTime\tEvaluationsPerSecond\tSolution");
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401 | if (ListViewRuns.Items.Count > 0 && ((Run) ListViewRuns.Items[0]).TreeInfos != null)
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402 | {
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403 | tableExport.Append("\tTotalNodes\tUnexpandedNodes\tExpandedNodes\tLeaveNodes\tDeepestLevel");
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404 | }
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405 | tableExport.AppendLine();
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406 | for (int i = 0; i < ListViewRuns.Items.Count; i++)
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407 | {
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408 | Run run = (Run)ListViewRuns.Items[i];
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409 | tableExport.Append(string.Format("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}", run.RunNumber,
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410 | run.MaxIterations, run.Evaluations, run.BestKnownQuality, run.BestQuality,
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411 | run.BestQuality / run.BestKnownQuality, run.BestSolutionFoundAt, run.TotalTime, run.BestSolutionTime,
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412 | run.EvaluationsPerSecond, run.BestSolution));
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413 |
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414 | if (run.TreeInfos != null)
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415 | {
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416 | tableExport.Append(string.Format("\t{0}\t{1}\t{2}\t{3}\t{4}", run.TreeInfos.TotalNodes,
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417 | run.TreeInfos.UnexpandedNodes, run.TreeInfos.ExpandedNodes, run.TreeInfos.LeaveNodes,
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418 | run.TreeInfos.DeepestLevel));
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419 | }
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420 |
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421 | tableExport.AppendLine();
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422 | }
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423 | Clipboard.SetData(DataFormats.Text, tableExport.ToString());
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424 | }
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425 | }
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426 | }
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