1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Diagnostics;
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4 | using System.Linq;
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5 | using System.Text;
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6 | using System.Text.RegularExpressions;
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7 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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8 |
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9 | namespace HeuristicLab.Problems.GrammaticalOptimization {
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10 | // 4-bit even parity
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11 | public class EvenParityProblem : ISymbolicExpressionTreeProblem {
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12 | // + == OR
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13 | // * == AND
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14 | private const string grammarString = @"
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15 | G(S):
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16 | S -> a | b | c | d | a*S | b*S | c*S | d*S | a+S | b+S | c+S | d+S | !S | (S)
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17 | ";
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18 | // A = AND, O = OR, N = NOT, C = Clause
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19 | private const string hlGrammarString = @"
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20 | G(E):
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21 | E -> A | O | N | C | a | b | c | d
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22 | A -> EE | EEE
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23 | O -> EE | EEE
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24 | N -> E
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25 | C -> E
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26 | ";
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27 |
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28 | private readonly IGrammar grammar;
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29 | public string Name { get { return "EvenParity"; } }
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30 |
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31 | public EvenParityProblem() {
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32 | this.grammar = new Grammar(grammarString);
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33 | this.TreeBasedGPGrammar = new Grammar(hlGrammarString);
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34 | }
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35 |
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36 | public double BestKnownQuality(int maxLen) {
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37 | // for now only an upper bound is returned, ideally all fitness cases are predicted correctly
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38 | return 16;
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39 | }
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40 |
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41 | public IGrammar Grammar {
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42 | get { return grammar; }
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43 | }
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44 |
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45 | public double Evaluate(string sentence) {
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46 | var interpreter = new ExpressionInterpreter(); // for concurrent evaluation
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47 | var vars = new bool[4];
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48 | var nCorrect = 0;
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49 | for (int b0 = 0; b0 <= 1; b0++)
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50 | for (int b1 = 0; b1 <= 1; b1++)
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51 | for (int b2 = 0; b2 <= 1; b2++)
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52 | for (int b3 = 0; b3 <= 1; b3++) {
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53 | vars[0] = b0 > 0;
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54 | vars[1] = b1 > 0;
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55 | vars[2] = b2 > 0;
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56 | vars[3] = b3 > 0;
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57 |
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58 | var pred = interpreter.Interpret(sentence, vars);
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59 | var target = (b0 > 0) ^ (b1 > 0) ^ (b2 > 0) ^ (b3 > 0);
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60 | if (pred == target) nCorrect++;
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61 | }
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62 | return nCorrect;
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63 | }
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64 |
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65 | public bool IsOptimalPhrase(string phrase) {
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66 | throw new NotImplementedException();
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67 | }
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68 |
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69 | public string CanonicalRepresentation(string phrase) {
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70 | throw new NotImplementedException();
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71 | return phrase;
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72 | }
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73 |
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74 | public IEnumerable<Feature> GetFeatures(string phrase) {
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75 | return new[] { new Feature(phrase, 1.0) };
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76 | }
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77 |
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78 | public IGrammar TreeBasedGPGrammar { get; private set; }
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79 | public string ConvertTreeToSentence(ISymbolicExpressionTree tree) {
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80 | var sb = new StringBuilder();
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81 |
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82 | TreeToSentence(tree.Root.GetSubtree(0).GetSubtree(0), sb);
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83 |
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84 | return sb.ToString();
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85 | }
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86 |
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87 | private void TreeToSentence(ISymbolicExpressionTreeNode treeNode, StringBuilder sb) {
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88 | if (treeNode.SubtreeCount == 0) {
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89 | // terminal
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90 | sb.Append(treeNode.Symbol.Name);
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91 | } else {
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92 | switch (treeNode.Symbol.Name) {
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93 | case "O": {
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94 | sb.Append("(");
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95 | TreeToSentence(treeNode.Subtrees.First(), sb);
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96 | foreach (var subTree in treeNode.Subtrees.Skip(1)) {
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97 | sb.Append("+");
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98 | TreeToSentence(subTree, sb);
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99 | }
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100 | sb.Append(")");
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101 | break;
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102 | }
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103 | case "A": {
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104 | TreeToSentence(treeNode.Subtrees.First(), sb);
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105 | foreach (var subTree in treeNode.Subtrees.Skip(1)) {
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106 | sb.Append("*");
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107 | TreeToSentence(subTree, sb);
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108 | }
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109 | break;
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110 | }
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111 | case "N": {
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112 | Debug.Assert(treeNode.SubtreeCount == 1);
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113 | sb.Append("!(");
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114 | TreeToSentence(treeNode.Subtrees.Single(), sb);
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115 | sb.Append(")");
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116 | break;
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117 | }
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118 | case "C": {
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119 | Debug.Assert(treeNode.SubtreeCount == 1);
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120 | sb.Append("(");
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121 | TreeToSentence(treeNode.Subtrees.Single(), sb);
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122 | sb.Append(")");
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123 | break;
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124 | }
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125 | default: {
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126 | Debug.Assert(treeNode.SubtreeCount == 1);
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127 | TreeToSentence(treeNode.Subtrees.Single(), sb);
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128 | break;
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129 | }
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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 | }
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