1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2018 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.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 | using HeuristicLab.Parameters;
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31 |
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32 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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33 | [StorableClass]
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34 | [Item("IntervalInterpreter", "Intperter for calculation of intervals of symbolic models.")]
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35 | public sealed class IntervalInterpreter : ParameterizedNamedItem, IStatefulItem {
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36 |
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37 | private const string EvaluatedSolutionsParameterName = "EvaluatedSolutions";
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38 |
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39 | public IFixedValueParameter<IntValue> EvaluatedSolutionsParameter {
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40 | get { return (IFixedValueParameter<IntValue>)Parameters[EvaluatedSolutionsParameterName]; }
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41 | }
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42 |
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43 | public int EvaluatedSolutions {
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44 | get { return EvaluatedSolutionsParameter.Value.Value; }
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45 | set { EvaluatedSolutionsParameter.Value.Value = value; }
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46 | }
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47 |
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48 | [StorableConstructor]
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49 | private IntervalInterpreter(bool deserializing) : base(deserializing) { }
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50 | private IntervalInterpreter(IntervalInterpreter original, Cloner cloner)
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51 | : base(original, cloner) { }
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52 |
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53 | public IntervalInterpreter()
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54 | : base("IntervalInterpreter", "Intperter for calculation of intervals of symbolic models.") {
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55 | Parameters.Add(new FixedValueParameter<IntValue>(EvaluatedSolutionsParameterName, "A counter for the total number of solutions the interpreter has evaluated", new IntValue(0)));
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56 | }
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57 |
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58 | public override IDeepCloneable Clone(Cloner cloner) {
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59 | return new IntervalInterpreter(this, cloner);
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60 | }
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61 |
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62 | private readonly object syncRoot = new object();
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63 |
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64 | #region IStatefulItem Members
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65 | public void InitializeState() {
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66 | EvaluatedSolutions = 0;
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67 | }
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68 | public void ClearState() { }
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69 | #endregion
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70 |
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71 | public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows = null) {
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72 | var intervalBoundaries = DatasetUtil.GetVariableRanges(dataset, rows);
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73 | return GetSymbolicExressionTreeIntervals(tree, intervalBoundaries);
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74 | }
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75 |
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76 | public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree, IDataset dataset,
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77 | out Dictionary<ISymbolicExpressionTreeNode, Interval> intervals, IEnumerable<int> rows = null) {
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78 | var intervalBoundaries = DatasetUtil.GetVariableRanges(dataset, rows);
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79 | return GetSymbolicExressionTreeIntervals(tree, intervalBoundaries, out intervals);
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80 | }
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81 |
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82 | public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree, Dictionary<string, Interval> customIntervals) {
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83 | lock (syncRoot) {
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84 | EvaluatedSolutions++;
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85 | }
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86 | int instructionCount = 0;
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87 | var instructions = PrepareInterpreterState(tree, customIntervals);
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88 | var outputInterval = Evaluate(instructions, ref instructionCount);
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89 |
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90 | return outputInterval;
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91 | }
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92 |
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93 |
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94 | public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree,
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95 | Dictionary<string, Interval> customIntervals, out Dictionary<ISymbolicExpressionTreeNode, Interval> intervals) {
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96 | lock (syncRoot) {
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97 | EvaluatedSolutions++;
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98 | }
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99 | int instructionCount = 0;
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100 | intervals = new Dictionary<ISymbolicExpressionTreeNode, Interval>();
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101 | var instructions = PrepareInterpreterState(tree, customIntervals);
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102 | var outputInterval = Evaluate(instructions, ref instructionCount, intervals);
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103 |
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104 | return outputInterval;
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105 | }
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106 |
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107 |
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108 | private static Instruction[] PrepareInterpreterState(ISymbolicExpressionTree tree, Dictionary<string, Interval> customIntervals) {
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109 | Instruction[] code = SymbolicExpressionTreeCompiler.Compile(tree, OpCodes.MapSymbolToOpCode);
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110 |
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111 | if (customIntervals == null)
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112 | throw new ArgumentException("No interval ranges are present!", nameof(customIntervals));
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113 |
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114 | foreach (var variable in tree.IterateNodesPrefix().OfType<VariableTreeNode>().Select(n => n.VariableName).Distinct()) {
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115 | if (!customIntervals.ContainsKey(variable)) throw new InvalidOperationException($"No ranges for variable {variable} is present");
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116 | }
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117 |
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118 | foreach (Instruction instr in code.Where(i => i.opCode == OpCodes.Variable)) {
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119 | var variableTreeNode = (VariableTreeNode)instr.dynamicNode;
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120 | instr.data = customIntervals[variableTreeNode.VariableName];
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121 | }
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122 | return code;
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123 | }
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124 |
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125 | private Interval Evaluate(Instruction[] instructions, ref int instructionCount, Dictionary<ISymbolicExpressionTreeNode, Interval> intervals = null) {
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126 | Instruction currentInstr = instructions[instructionCount++];
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127 | Interval result = null;
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128 |
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129 | switch (currentInstr.opCode) {
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130 | //Variables, Constants, ...
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131 | case OpCodes.Variable: {
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132 | if (intervals != null)
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133 | intervals.Add(currentInstr.dynamicNode, (Interval)currentInstr.data);
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134 | var variableTreeNode = (VariableTreeNode)currentInstr.dynamicNode;
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135 | var variableWeight = variableTreeNode.Weight;
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136 |
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137 | return Interval.Multiply((Interval)currentInstr.data, new Interval(variableWeight, variableWeight));
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138 | }
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139 | case OpCodes.Constant: {
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140 | var constTreeNode = (ConstantTreeNode)currentInstr.dynamicNode;
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141 | var inter = new Interval(constTreeNode.Value, constTreeNode.Value);
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142 | if (intervals != null)
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143 | intervals.Add(currentInstr.dynamicNode, inter);
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144 | return inter;
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145 | }
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146 | //Elementary arithmetic rules
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147 | case OpCodes.Add: {
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148 | result = Evaluate(instructions, ref instructionCount, intervals);
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149 | for (int i = 1; i < currentInstr.nArguments; i++) {
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150 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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151 | result = Interval.Add(result, argumentInterval);
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152 | }
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153 | break;
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154 | }
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155 | case OpCodes.Sub: {
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156 | result = Evaluate(instructions, ref instructionCount, intervals);
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157 | if (currentInstr.nArguments == 1)
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158 | result = Interval.Multiply(new Interval(-1, -1), result);
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159 |
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160 | for (int i = 1; i < currentInstr.nArguments; i++) {
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161 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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162 | result = Interval.Subtract(result, argumentInterval);
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163 | }
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164 | break;
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165 | }
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166 | case OpCodes.Mul: {
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167 | result = Evaluate(instructions, ref instructionCount, intervals);
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168 | for (int i = 1; i < currentInstr.nArguments; i++) {
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169 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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170 | result = Interval.Multiply(result, argumentInterval);
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171 | }
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172 | break;
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173 | }
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174 | case OpCodes.Div: {
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175 | result = Evaluate(instructions, ref instructionCount, intervals);
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176 | if(currentInstr.nArguments == 1)
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177 | result = Interval.Divide(new Interval(1,1),result);
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178 |
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179 | for (int i = 1; i < currentInstr.nArguments; i++) {
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180 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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181 | result = Interval.Divide(result, argumentInterval);
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182 | }
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183 | break;
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184 | }
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185 | //Trigonometric functions
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186 | case OpCodes.Sin: {
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187 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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188 | result = Interval.Sine(argumentInterval);
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189 | break;
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190 | }
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191 | case OpCodes.Cos: {
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192 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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193 | result = Interval.Cosine(argumentInterval);
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194 | break;
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195 | }
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196 | case OpCodes.Tan: {
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197 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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198 | result = Interval.Tangens(argumentInterval);
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199 | break;
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200 | }
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201 | //Exponential functions
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202 | case OpCodes.Log: {
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203 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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204 | result = Interval.Logarithm(argumentInterval);
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205 | break;
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206 | }
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207 | case OpCodes.Exp: {
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208 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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209 | result = Interval.Exponential(argumentInterval);
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210 | break;
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211 | }
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212 | case OpCodes.Power: {
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213 | result = Evaluate(instructions, ref instructionCount, intervals);
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214 | for (int i = 1; i < currentInstr.nArguments; i++) {
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215 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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216 | result = Interval.Power(result, argumentInterval);
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217 | }
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218 | break;
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219 | }
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220 | case OpCodes.Square: {
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221 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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222 | result = Interval.Square(argumentInterval);
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223 | break;
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224 | }
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225 | case OpCodes.Root: {
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226 | result = Evaluate(instructions, ref instructionCount, intervals);
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227 | for (int i = 1; i < currentInstr.nArguments; i++) {
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228 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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229 | result = Interval.Root(result, argumentInterval);
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230 | }
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231 | break;
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232 | }
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233 | case OpCodes.SquareRoot: {
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234 | var argumentInterval = Evaluate(instructions, ref instructionCount, intervals);
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235 | result = Interval.SquareRoot(argumentInterval);
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236 | break;
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237 | }
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238 | default:
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239 | throw new NotSupportedException($"The tree contains the unknown symbol {currentInstr.dynamicNode.Symbol}");
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240 | }
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241 |
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242 | if (intervals != null)
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243 | intervals.Add(currentInstr.dynamicNode, result);
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244 |
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245 | return result;
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246 | }
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247 |
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248 | public static bool IsCompatible(ISymbolicExpressionTree tree) {
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249 | var containsUnknownSyumbol = (
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250 | from n in tree.Root.GetSubtree(0).IterateNodesPrefix()
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251 | where
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252 | !(n.Symbol is StartSymbol) &&
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253 | !(n.Symbol is Addition) &&
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254 | !(n.Symbol is Subtraction) &&
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255 | !(n.Symbol is Multiplication) &&
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256 | !(n.Symbol is Division) &&
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257 | !(n.Symbol is Sine) &&
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258 | !(n.Symbol is Cosine) &&
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259 | !(n.Symbol is Tangent) &&
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260 | !(n.Symbol is Logarithm) &&
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261 | !(n.Symbol is Exponential) &&
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262 | !(n.Symbol is Power) &&
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263 | !(n.Symbol is Square) &&
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264 | !(n.Symbol is Root) &&
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265 | !(n.Symbol is SquareRoot) &&
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266 | !(n.Symbol is Problems.DataAnalysis.Symbolic.Variable) &&
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267 | !(n.Symbol is Constant)
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268 | select n).Any();
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269 | return !containsUnknownSyumbol;
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270 | }
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271 | }
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272 | }
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