1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 |
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32 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Views {
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33 | public abstract partial class InteractiveSymbolicDataAnalysisSolutionSimplifierView : AsynchronousContentView {
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34 | private Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode> foldedNodes;
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35 | private Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode> changedNodes;
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36 | private Dictionary<ISymbolicExpressionTreeNode, double> nodeImpacts;
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37 |
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38 | private enum TreeState { Valid, Invalid }
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39 | private TreeState treeState;
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40 |
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41 | protected InteractiveSymbolicDataAnalysisSolutionSimplifierView() {
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42 | InitializeComponent();
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43 | foldedNodes = new Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode>();
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44 | changedNodes = new Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode>();
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45 | nodeImpacts = new Dictionary<ISymbolicExpressionTreeNode, double>();
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46 | this.Caption = "Interactive Solution Simplifier";
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47 |
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48 | // initialize the tree modifier that will be used to perform edit operations over the tree
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49 | treeChart.ModifyTree = Modify;
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50 | }
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51 |
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52 | /// <summary>
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53 | /// Remove, Replace or Insert subtrees
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54 | /// </summary>
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55 | /// <param name="tree">The symbolic expression tree</param>
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56 | /// <param name="parent">The insertion point (ie, the parent node who will receive a new child)</param>
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57 | /// <param name="oldChild">The subtree to be replaced</param>
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58 | /// <param name="newChild">The replacement subtree</param>
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59 | /// <param name="removeSubtree">Flag used to indicate if whole subtrees should be removed (default behavior), or just the subtree root</param>
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60 | private void Modify(ISymbolicExpressionTree tree, ISymbolicExpressionTreeNode parent,
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61 | ISymbolicExpressionTreeNode oldChild, ISymbolicExpressionTreeNode newChild, bool removeSubtree = true) {
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62 | if (oldChild == null && newChild == null)
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63 | throw new ArgumentNullException("Cannot deduce operation type from the arguments. Please provide non null operands.");
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64 | if (oldChild == null) {
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65 | // insertion operation
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66 | parent.AddSubtree(newChild);
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67 | newChild.Parent = parent;
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68 | } else if (newChild == null) {
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69 | // removal operation
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70 | parent.RemoveSubtree(parent.IndexOfSubtree(oldChild));
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71 | if (!removeSubtree) {
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72 | for (int i = oldChild.SubtreeCount - 1; i >= 0; --i) {
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73 | var subtree = oldChild.GetSubtree(i);
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74 | oldChild.RemoveSubtree(i);
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75 | parent.AddSubtree(subtree);
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76 | }
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77 | }
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78 | } else {
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79 | // replacement operation
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80 | var replacementIndex = parent.IndexOfSubtree(oldChild);
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81 | parent.RemoveSubtree(replacementIndex);
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82 | parent.InsertSubtree(replacementIndex, newChild);
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83 | newChild.Parent = parent;
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84 | if (changedNodes.ContainsKey(oldChild)) {
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85 | changedNodes.Add(newChild, changedNodes[oldChild]); // so that on double click the original node is restored
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86 | changedNodes.Remove(oldChild);
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87 | } else {
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88 | changedNodes.Add(newChild, oldChild);
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89 | }
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90 | }
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91 | treeState = IsValid(tree) ? TreeState.Valid : TreeState.Invalid;
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92 | switch (treeState) {
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93 | case TreeState.Valid:
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94 | this.grpViewHost.Enabled = true;
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95 | UpdateModel(Content.Model.SymbolicExpressionTree);
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96 | break;
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97 | case TreeState.Invalid:
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98 | this.grpViewHost.Enabled = false;
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99 | break;
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100 | }
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101 | }
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102 |
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103 | // the optimizer always assumes 2 children for multiplication and addition nodes
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104 | // thus, we enforce that the tree stays valid so that the constant optimization won't throw an exception
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105 | // by returning 2 as the minimum allowed arity for addition and multiplication symbols
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106 | private readonly Func<ISymbol, int> GetMinArity = symbol => {
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107 | var min = symbol.MinimumArity;
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108 | if (symbol is Multiplication || symbol is Division) return Math.Max(2, min);
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109 | return min;
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110 | };
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111 | private bool IsValid(ISymbolicExpressionTree tree) {
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112 | treeChart.Tree = tree;
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113 | treeChart.Repaint();
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114 | bool valid = !tree.IterateNodesPostfix().Any(node => node.SubtreeCount < GetMinArity(node.Symbol) || node.SubtreeCount > node.Symbol.MaximumArity);
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115 | if (valid) {
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116 | btnOptimizeConstants.Enabled = true;
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117 | btnSimplify.Enabled = true;
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118 | treeStatusValue.Visible = false;
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119 | } else {
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120 | btnOptimizeConstants.Enabled = false;
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121 | btnSimplify.Enabled = false;
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122 | treeStatusValue.Visible = true;
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123 | }
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124 | this.Refresh();
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125 | return valid;
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126 | }
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127 |
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128 | public new ISymbolicDataAnalysisSolution Content {
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129 | get { return (ISymbolicDataAnalysisSolution)base.Content; }
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130 | set { base.Content = value; }
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131 | }
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132 |
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133 | protected override void RegisterContentEvents() {
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134 | base.RegisterContentEvents();
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135 | Content.ModelChanged += Content_Changed;
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136 | Content.ProblemDataChanged += Content_Changed;
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137 | treeChart.Repainted += treeChart_Repainted;
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138 | }
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139 | protected override void DeregisterContentEvents() {
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140 | base.DeregisterContentEvents();
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141 | Content.ModelChanged -= Content_Changed;
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142 | Content.ProblemDataChanged -= Content_Changed;
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143 | treeChart.Repainted -= treeChart_Repainted;
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144 | }
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145 |
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146 | private void Content_Changed(object sender, EventArgs e) {
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147 | UpdateView();
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148 | }
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149 |
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150 | protected override void OnContentChanged() {
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151 | base.OnContentChanged();
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152 | foldedNodes = new Dictionary<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode>();
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153 | UpdateView();
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154 | viewHost.Content = this.Content;
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155 | }
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156 |
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157 | private void treeChart_Repainted(object sender, EventArgs e) {
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158 | if (nodeImpacts != null && nodeImpacts.Count > 0)
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159 | PaintNodeImpacts();
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160 | }
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161 |
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162 | private void UpdateView() {
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163 | if (Content == null || Content.Model == null || Content.ProblemData == null) return;
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164 | var tree = Content.Model.SymbolicExpressionTree;
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165 | treeChart.Tree = tree.Root.SubtreeCount > 1 ? new SymbolicExpressionTree(tree.Root) : new SymbolicExpressionTree(tree.Root.GetSubtree(0).GetSubtree(0));
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166 |
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167 | var impactAndReplacementValues = CalculateImpactAndReplacementValues(tree);
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168 | var replacementValues = impactAndReplacementValues.ToDictionary(x => x.Key, x => x.Value.Item2);
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169 | foreach (var pair in replacementValues.Where(pair => !(pair.Key is ConstantTreeNode))) {
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170 | foldedNodes[pair.Key] = MakeConstantTreeNode(pair.Value);
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171 | }
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172 | nodeImpacts = impactAndReplacementValues.ToDictionary(x => x.Key, x => x.Value.Item1);
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173 | PaintNodeImpacts();
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174 | }
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175 |
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176 | protected abstract Dictionary<ISymbolicExpressionTreeNode, double> CalculateReplacementValues(ISymbolicExpressionTree tree);
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177 | protected abstract Dictionary<ISymbolicExpressionTreeNode, double> CalculateImpactValues(ISymbolicExpressionTree tree);
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178 | protected abstract Dictionary<ISymbolicExpressionTreeNode, Tuple<double, double>> CalculateImpactAndReplacementValues(ISymbolicExpressionTree tree);
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179 | protected abstract void UpdateModel(ISymbolicExpressionTree tree);
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180 |
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181 | private static ConstantTreeNode MakeConstantTreeNode(double value) {
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182 | var constant = new Constant { MinValue = value - 1, MaxValue = value + 1 };
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183 | var constantTreeNode = (ConstantTreeNode)constant.CreateTreeNode();
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184 | constantTreeNode.Value = value;
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185 | return constantTreeNode;
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186 | }
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187 |
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188 | private void treeChart_SymbolicExpressionTreeNodeDoubleClicked(object sender, MouseEventArgs e) {
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189 | if (treeState == TreeState.Invalid) return;
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190 | var visualNode = (VisualTreeNode<ISymbolicExpressionTreeNode>)sender;
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191 | if (visualNode.Content == null) { throw new Exception("VisualNode content cannot be null."); }
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192 | var symbExprTreeNode = (SymbolicExpressionTreeNode)visualNode.Content;
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193 | var tree = Content.Model.SymbolicExpressionTree;
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194 | var parent = symbExprTreeNode.Parent;
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195 | int indexOfSubtree = parent.IndexOfSubtree(symbExprTreeNode);
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196 | if (changedNodes.ContainsKey(symbExprTreeNode)) {
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197 | // undo node change
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198 | parent.RemoveSubtree(indexOfSubtree);
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199 | var originalNode = changedNodes[symbExprTreeNode];
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200 | parent.InsertSubtree(indexOfSubtree, originalNode);
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201 | changedNodes.Remove(symbExprTreeNode);
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202 | } else if (foldedNodes.ContainsKey(symbExprTreeNode)) {
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203 | // undo node folding
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204 | SwitchNodeWithReplacementNode(parent, indexOfSubtree);
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205 | }
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206 | UpdateModel(tree);
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207 | }
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208 |
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209 | private void SwitchNodeWithReplacementNode(ISymbolicExpressionTreeNode parent, int subTreeIndex) {
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210 | ISymbolicExpressionTreeNode subTree = parent.GetSubtree(subTreeIndex);
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211 | if (foldedNodes.ContainsKey(subTree)) {
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212 | parent.RemoveSubtree(subTreeIndex);
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213 | var replacementNode = foldedNodes[subTree];
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214 | parent.InsertSubtree(subTreeIndex, replacementNode);
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215 | // exchange key and value
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216 | foldedNodes.Remove(subTree);
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217 | foldedNodes.Add(replacementNode, subTree);
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218 | }
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219 | }
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220 |
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221 | private void PaintNodeImpacts() {
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222 | var impacts = nodeImpacts.Values;
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223 | double max = impacts.Max();
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224 | double min = impacts.Min();
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225 | foreach (ISymbolicExpressionTreeNode treeNode in Content.Model.SymbolicExpressionTree.IterateNodesPostfix()) {
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226 | VisualTreeNode<ISymbolicExpressionTreeNode> visualTree = treeChart.GetVisualSymbolicExpressionTreeNode(treeNode);
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227 |
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228 | if (!(treeNode is ConstantTreeNode) && nodeImpacts.ContainsKey(treeNode)) {
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229 | visualTree.ToolTip = visualTree.Content.ToString();
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230 | double impact = nodeImpacts[treeNode];
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231 |
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232 | // impact = 0 if no change
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233 | // impact < 0 if new solution is better
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234 | // impact > 0 if new solution is worse
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235 | if (impact < 0.0) {
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236 | // min is guaranteed to be < 0
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237 | visualTree.FillColor = Color.FromArgb((int)(impact / min * 255), Color.Red);
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238 | } else if (impact.IsAlmost(0.0)) {
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239 | visualTree.FillColor = Color.White;
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240 | } else {
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241 | // max is guaranteed to be > 0
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242 | visualTree.FillColor = Color.FromArgb((int)(impact / max * 255), Color.Green);
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243 | }
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244 | visualTree.ToolTip += Environment.NewLine + "Node impact: " + impact;
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245 | var constantReplacementNode = foldedNodes[treeNode] as ConstantTreeNode;
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246 | if (constantReplacementNode != null) {
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247 | visualTree.ToolTip += Environment.NewLine + "Replacement value: " + constantReplacementNode.Value;
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248 | }
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249 | }
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250 | if (visualTree != null)
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251 | if (changedNodes.ContainsKey(treeNode)) {
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252 | visualTree.LineColor = Color.DodgerBlue;
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253 | } else if (treeNode is ConstantTreeNode && foldedNodes.ContainsKey(treeNode)) {
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254 | visualTree.LineColor = Color.DarkOrange;
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255 | }
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256 | }
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257 | treeChart.RepaintNodes();
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258 | }
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259 |
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260 | private void btnSimplify_Click(object sender, EventArgs e) {
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261 | var simplifier = new SymbolicDataAnalysisExpressionTreeSimplifier();
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262 | var simplifiedExpressionTree = simplifier.Simplify(Content.Model.SymbolicExpressionTree);
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263 | UpdateModel(simplifiedExpressionTree);
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264 | }
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265 |
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266 | protected abstract void btnOptimizeConstants_Click(object sender, EventArgs e);
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267 | }
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268 | }
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