1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 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 System;
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23 | using System.Collections.Generic;
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24 | using System.Drawing;
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25 | using System.Linq;
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26 | using System.Windows.Forms;
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27 | using HeuristicLab.Common;
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28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Views;
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30 | using HeuristicLab.MainForm.WindowsForms;
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31 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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32 |
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33 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Views {
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34 | public abstract partial class InteractiveSymbolicDataAnalysisSolutionSimplifierView : AsynchronousContentView {
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35 | private Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode> replacementNodes;
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36 | private Dictionary<ISymbolicExpressionTreeNode, double> nodeImpacts;
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37 |
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38 | public InteractiveSymbolicDataAnalysisSolutionSimplifierView() {
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39 | InitializeComponent();
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40 | this.replacementNodes = new Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode>();
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41 | this.nodeImpacts = new Dictionary<ISymbolicExpressionTreeNode, double>();
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42 | this.Caption = "Interactive Solution Simplifier";
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43 | }
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44 |
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45 | public new ISymbolicDataAnalysisSolution Content {
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46 | get { return (ISymbolicDataAnalysisSolution)base.Content; }
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47 | set { base.Content = value; }
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48 | }
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49 |
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50 | protected override void RegisterContentEvents() {
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51 | base.RegisterContentEvents();
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52 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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53 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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54 | }
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55 | protected override void DeregisterContentEvents() {
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56 | base.DeregisterContentEvents();
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57 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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58 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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59 | }
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60 |
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61 | private void Content_ModelChanged(object sender, EventArgs e) {
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62 | OnModelChanged();
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63 | }
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64 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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65 | OnProblemDataChanged();
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66 | }
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67 |
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68 | protected virtual void OnModelChanged() {
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69 | this.CalculateReplacementNodesAndNodeImpacts();
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70 | }
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71 |
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72 | protected virtual void OnProblemDataChanged() {
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73 | this.CalculateReplacementNodesAndNodeImpacts();
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74 | }
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75 |
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76 | protected override void OnContentChanged() {
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77 | base.OnContentChanged();
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78 | this.CalculateReplacementNodesAndNodeImpacts();
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79 | this.viewHost.Content = this.Content;
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80 | }
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81 |
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82 | private void CalculateReplacementNodesAndNodeImpacts() {
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83 | if (Content != null && Content.Model != null && Content.ProblemData != null) {
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84 | var tree = Content.Model.SymbolicExpressionTree;
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85 | var replacementValues = CalculateReplacementValues(tree);
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86 | foreach (var pair in replacementValues) {
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87 | if (!(pair.Key is ConstantTreeNode)) {
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88 | replacementNodes[pair.Key] = MakeConstantTreeNode(pair.Value);
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89 | }
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90 | }
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91 | nodeImpacts = CalculateImpactValues(Content.Model.SymbolicExpressionTree);
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92 |
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93 | // automatically fold all branches with impact = 1
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94 | List<ISymbolicExpressionTreeNode> nodeList = Content.Model.SymbolicExpressionTree.Root.GetSubtree(0).IterateNodesPrefix().ToList();
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95 | foreach (var parent in nodeList) {
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96 | for (int subTreeIndex = 0; subTreeIndex < parent.SubtreesCount; subTreeIndex++) {
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97 | var child = parent.GetSubtree(subTreeIndex);
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98 | if (!(child.Symbol is Constant) && nodeImpacts[child].IsAlmost(1.0)) {
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99 | SwitchNodeWithReplacementNode(parent, subTreeIndex);
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100 | }
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101 | }
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102 | }
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103 | // show only interesting part of solution
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104 | this.treeChart.Tree = new SymbolicExpressionTree(tree.Root.GetSubtree(0).GetSubtree(0));
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105 | this.PaintNodeImpacts();
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106 | }
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107 | }
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108 |
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109 | protected abstract Dictionary<ISymbolicExpressionTreeNode, double> CalculateReplacementValues(ISymbolicExpressionTree tree);
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110 | protected abstract Dictionary<ISymbolicExpressionTreeNode, double> CalculateImpactValues(ISymbolicExpressionTree tree);
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111 | protected abstract void UpdateModel(ISymbolicExpressionTree tree);
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112 |
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113 | private ConstantTreeNode MakeConstantTreeNode(double value) {
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114 | Constant constant = new Constant();
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115 | constant.MinValue = value - 1;
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116 | constant.MaxValue = value + 1;
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117 | ConstantTreeNode constantTreeNode = (ConstantTreeNode)constant.CreateTreeNode();
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118 | constantTreeNode.Value = value;
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119 | return constantTreeNode;
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120 | }
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121 |
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122 | private void treeChart_SymbolicExpressionTreeNodeDoubleClicked(object sender, MouseEventArgs e) {
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123 | VisualSymbolicExpressionTreeNode visualTreeNode = (VisualSymbolicExpressionTreeNode)sender;
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124 | var tree = Content.Model.SymbolicExpressionTree;
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125 | foreach (SymbolicExpressionTreeNode treeNode in tree.IterateNodesPostfix()) {
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126 | for (int i = 0; i < treeNode.SubtreesCount; i++) {
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127 | ISymbolicExpressionTreeNode subTree = treeNode.GetSubtree(i);
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128 | if (subTree == visualTreeNode.SymbolicExpressionTreeNode) {
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129 | SwitchNodeWithReplacementNode(treeNode, i);
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130 | }
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131 | }
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132 | }
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133 |
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134 | // show only interesting part of solution
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135 | this.treeChart.Tree = new SymbolicExpressionTree(tree.Root.GetSubtree(0).GetSubtree(0));
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136 |
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137 | UpdateModel(tree);
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138 | }
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139 |
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140 | private void SwitchNodeWithReplacementNode(ISymbolicExpressionTreeNode parent, int subTreeIndex) {
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141 | ISymbolicExpressionTreeNode subTree = parent.GetSubtree(subTreeIndex);
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142 | parent.RemoveSubtree(subTreeIndex);
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143 | if (replacementNodes.ContainsKey(subTree)) {
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144 | var replacementNode = replacementNodes[subTree];
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145 | parent.InsertSubtree(subTreeIndex, replacementNode);
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146 | // exchange key and value
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147 | replacementNodes.Remove(subTree);
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148 | replacementNodes.Add(replacementNode, subTree);
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149 | }
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150 | }
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151 |
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152 | private void PaintNodeImpacts() {
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153 | var impacts = nodeImpacts.Values;
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154 | double max = impacts.Max();
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155 | double min = impacts.Min();
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156 | foreach (ISymbolicExpressionTreeNode treeNode in Content.Model.SymbolicExpressionTree.IterateNodesPostfix()) {
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157 | if (!(treeNode is ConstantTreeNode) && nodeImpacts.ContainsKey(treeNode)) {
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158 | double impact = nodeImpacts[treeNode];
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159 | VisualSymbolicExpressionTreeNode visualTree = treeChart.GetVisualSymbolicExpressionTreeNode(treeNode);
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160 |
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161 | // impact = 0 if no change
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162 | // impact < 0 if new solution is better
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163 | // impact > 0 if new solution is worse
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164 | if (impact < 0.0) {
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165 | // min is guaranteed to be < 0
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166 | visualTree.FillColor = Color.FromArgb((int)(impact / min * 255), Color.Red);
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167 | } else if (impact.IsAlmost(0.0)) {
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168 | visualTree.FillColor = Color.White;
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169 | } else {
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170 | // max is guaranteed to be > 0
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171 | visualTree.FillColor = Color.FromArgb((int)(impact / max * 255), Color.Green);
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172 | }
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173 | visualTree.ToolTip += Environment.NewLine + "Node impact: " + impact;
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174 | var constantReplacementNode = replacementNodes[treeNode] as ConstantTreeNode;
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175 | if (constantReplacementNode != null) {
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176 | visualTree.ToolTip += Environment.NewLine + "Replacement value: " + constantReplacementNode.Value;
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177 | }
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178 | }
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179 | }
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180 | this.PaintCollapsedNodes();
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181 | this.treeChart.Repaint();
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182 | }
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183 |
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184 | private void PaintCollapsedNodes() {
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185 | foreach (ISymbolicExpressionTreeNode treeNode in Content.Model.SymbolicExpressionTree.IterateNodesPostfix()) {
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186 | if (treeNode is ConstantTreeNode && replacementNodes.ContainsKey(treeNode))
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187 | this.treeChart.GetVisualSymbolicExpressionTreeNode(treeNode).LineColor = Color.DarkOrange;
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188 | else {
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189 | VisualSymbolicExpressionTreeNode visNode = treeChart.GetVisualSymbolicExpressionTreeNode(treeNode);
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190 | if (visNode != null)
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191 | visNode.LineColor = Color.Black;
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192 | }
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193 | }
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194 | }
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195 |
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196 | private void btnSimplify_Click(object sender, EventArgs e) {
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197 | SymbolicDataAnalysisExpressionTreeSimplifier simplifier = new SymbolicDataAnalysisExpressionTreeSimplifier();
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198 | var simplifiedExpressionTree = simplifier.Simplify(Content.Model.SymbolicExpressionTree);
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199 | UpdateModel(simplifiedExpressionTree);
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200 | }
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201 | }
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202 | }
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