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.Linq;
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25 | using System.Linq.Expressions;
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26 | using System.Reflection;
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27 | using HeuristicLab.Common;
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28 | using HeuristicLab.Core;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 |
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34 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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35 | [StorableClass]
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36 | [Item("SymbolicDataAnalysisExpressionCompiledTreeInterpreter", "Interpreter that converts the tree into a Linq.Expression then compiles it.")]
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37 | public sealed class SymbolicDataAnalysisExpressionCompiledTreeInterpreter : ParameterizedNamedItem, ISymbolicDataAnalysisExpressionTreeInterpreter {
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38 | private const string CheckExpressionsWithIntervalArithmeticParameterName = "CheckExpressionsWithIntervalArithmetic";
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39 | private const string CheckExpressionsWithIntervalArithmeticParameterDescription = "Switch that determines if the interpreter checks the validity of expressions with interval arithmetic before evaluating the expression.";
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40 | private const string EvaluatedSolutionsParameterName = "EvaluatedSolutions";
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41 |
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42 | #region method info for the commonly called functions
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43 | private static readonly MethodInfo Sin = typeof(Math).GetMethod("Sin", new[] { typeof(double) });
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44 | private static readonly MethodInfo Cos = typeof(Math).GetMethod("Cos", new[] { typeof(double) });
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45 | private static readonly MethodInfo Tan = typeof(Math).GetMethod("Tan", new[] { typeof(double) });
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46 | private static readonly MethodInfo Sqrt = typeof(Math).GetMethod("Sqrt", new[] { typeof(double) });
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47 | private static readonly MethodInfo Floor = typeof(Math).GetMethod("Floor", new[] { typeof(double) });
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48 | private static readonly MethodInfo Round = typeof(Math).GetMethod("Round", new[] { typeof(double) });
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49 | private static readonly MethodInfo Exp = typeof(Math).GetMethod("Exp", new[] { typeof(double) });
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50 | private static readonly MethodInfo Log = typeof(Math).GetMethod("Log", new[] { typeof(double) });
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51 | private static readonly MethodInfo IsNaN = typeof(double).GetMethod("IsNaN");
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52 | private static readonly MethodInfo IsAlmost = typeof(DoubleExtensions).GetMethod("IsAlmost");
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53 | private static readonly MethodInfo Gamma = typeof(alglib).GetMethod("gammafunction", new[] { typeof(double) });
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54 | private static readonly MethodInfo Psi = typeof(alglib).GetMethod("psi", new[] { typeof(double) });
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55 | private static readonly MethodInfo DawsonIntegral = typeof(alglib).GetMethod("dawsonintegral", new[] { typeof(double) });
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56 | private static readonly MethodInfo ExponentialIntegralEi = typeof(alglib).GetMethod("exponentialintegralei", new[] { typeof(double) });
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57 | private static readonly MethodInfo SineCosineIntegrals = typeof(alglib).GetMethod("sinecosineintegrals", new[] { typeof(double), typeof(double).MakeByRefType(), typeof(double).MakeByRefType() });
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58 | private static readonly MethodInfo HyperbolicSineCosineIntegrals = typeof(alglib).GetMethod("hyperbolicsinecosineintegrals", new[] { typeof(double), typeof(double).MakeByRefType(), typeof(double).MakeByRefType() });
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59 | private static readonly MethodInfo FresnelIntegral = typeof(alglib).GetMethod("fresnelintegral", new[] { typeof(double), typeof(double).MakeByRefType(), typeof(double).MakeByRefType() });
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60 | private static readonly MethodInfo Airy = typeof(alglib).GetMethod("airy", new[] { typeof(double), typeof(double).MakeByRefType(), typeof(double).MakeByRefType(), typeof(double).MakeByRefType(), typeof(double).MakeByRefType() });
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61 | private static readonly MethodInfo NormalDistribution = typeof(alglib).GetMethod("normaldistribution", new[] { typeof(double) });
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62 | private static readonly MethodInfo ErrorFunction = typeof(alglib).GetMethod("errorfunction", new[] { typeof(double) });
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63 | private static readonly MethodInfo Bessel = typeof(alglib).GetMethod("besseli0", new[] { typeof(double) });
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64 | #endregion
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65 |
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66 | public override bool CanChangeName { get { return false; } }
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67 | public override bool CanChangeDescription { get { return false; } }
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68 |
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69 | #region parameter properties
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70 | public IFixedValueParameter<BoolValue> CheckExpressionsWithIntervalArithmeticParameter {
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71 | get { return (IFixedValueParameter<BoolValue>)Parameters[CheckExpressionsWithIntervalArithmeticParameterName]; }
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72 | }
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73 |
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74 | public IFixedValueParameter<IntValue> EvaluatedSolutionsParameter {
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75 | get { return (IFixedValueParameter<IntValue>)Parameters[EvaluatedSolutionsParameterName]; }
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76 | }
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77 | #endregion
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78 |
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79 | #region properties
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80 | public bool CheckExpressionsWithIntervalArithmetic {
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81 | get { return CheckExpressionsWithIntervalArithmeticParameter.Value.Value; }
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82 | set { CheckExpressionsWithIntervalArithmeticParameter.Value.Value = value; }
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83 | }
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84 | public int EvaluatedSolutions {
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85 | get { return EvaluatedSolutionsParameter.Value.Value; }
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86 | set { EvaluatedSolutionsParameter.Value.Value = value; }
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87 | }
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88 | #endregion
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89 |
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90 | public override IDeepCloneable Clone(Cloner cloner) {
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91 | return new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(this, cloner);
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92 | }
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93 |
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94 | private SymbolicDataAnalysisExpressionCompiledTreeInterpreter(SymbolicDataAnalysisExpressionCompiledTreeInterpreter original, Cloner cloner)
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95 | : base(original, cloner) {
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96 | }
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97 |
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98 | [StorableConstructor]
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99 | private SymbolicDataAnalysisExpressionCompiledTreeInterpreter(bool deserializing)
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100 | : base(deserializing) {
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101 | }
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102 |
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103 | public SymbolicDataAnalysisExpressionCompiledTreeInterpreter() :
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104 | base("SymbolicDataAnalysisExpressionCompiledTreeInterpreter", "Interpreter which compiles the tree into a lambda") {
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105 | Parameters.Add(new FixedValueParameter<BoolValue>(CheckExpressionsWithIntervalArithmeticParameterName, CheckExpressionsWithIntervalArithmeticParameterDescription, new BoolValue(false)));
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106 | 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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107 | }
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108 |
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109 | public SymbolicDataAnalysisExpressionCompiledTreeInterpreter(string name, string description) :
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110 | base(name, description) {
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111 | Parameters.Add(new FixedValueParameter<BoolValue>(CheckExpressionsWithIntervalArithmeticParameterName, CheckExpressionsWithIntervalArithmeticParameterDescription, new BoolValue(false)));
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112 | 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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113 | }
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114 |
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115 | public void InitializeState() {
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116 | EvaluatedSolutions = 0;
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117 | }
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118 |
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119 | public void ClearState() { }
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120 |
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121 | private readonly object syncRoot = new object();
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122 | public IEnumerable<double> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows) {
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123 | if (CheckExpressionsWithIntervalArithmetic)
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124 | throw new NotSupportedException("Interval arithmetic is not yet supported in the symbolic data analysis interpreter.");
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125 |
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126 | lock (syncRoot) {
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127 | EvaluatedSolutions++; // increment the evaluated solutions counter
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128 | }
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129 | var columns = dataset.DoubleVariables.Select(x => (IList<double>)dataset.GetReadOnlyDoubleValues(x)).ToArray();
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130 | var compiled = CompileTree(tree, dataset);
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131 | return rows.Select(x => compiled(x, columns));
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132 | }
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133 |
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134 | public static Func<int, IList<double>[], double> CompileTree(ISymbolicExpressionTree tree, IDataset dataset) {
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135 | var lambda = CreateDelegate(tree, dataset);
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136 | return lambda.Compile();
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137 | }
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138 |
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139 | public static Expression<Func<int, IList<double>[], double>> CreateDelegate(ISymbolicExpressionTree tree, IDataset dataset) {
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140 | var row = Expression.Parameter(typeof(int));
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141 | var columns = Expression.Parameter(typeof(IList<double>[]));
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142 | var variableIndices = dataset.DoubleVariables.Select((x, i) => new { x, i }).ToDictionary(e => e.x, e => e.i);
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143 | var expr = MakeExpr(tree, variableIndices, row, columns);
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144 | var lambda = Expression.Lambda<Func<int, IList<double>[], double>>(expr, row, columns);
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145 | return lambda;
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146 | }
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147 |
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148 | private static Expression MakeExpr(ISymbolicExpressionTree tree, Dictionary<string, int> variableIndices, Expression row, Expression columns) {
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149 | var actualRoot = tree.Root.GetSubtree(0).GetSubtree(0);
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150 | return MakeExpr(actualRoot, variableIndices, row, columns);
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151 | }
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152 |
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153 | private static readonly PropertyInfo Indexer = typeof(IList<double>).GetProperty("Item");
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154 | private static Expression MakeExpr(ISymbolicExpressionTreeNode node, Dictionary<string, int> variableIndices, Expression row, Expression columns) {
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155 | var opcode = OpCodes.MapSymbolToOpCode(node);
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156 | #region switch opcode
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157 | switch (opcode) {
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158 | case OpCodes.Constant: {
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159 | var constantTreeNode = (ConstantTreeNode)node;
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160 | return Expression.Constant(constantTreeNode.Value);
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161 | }
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162 | case OpCodes.Variable: {
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163 | var variableTreeNode = (VariableTreeNode)node;
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164 | var variableWeight = Expression.Constant(variableTreeNode.Weight);
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165 | var variableName = variableTreeNode.VariableName;
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166 | var indexExpr = Expression.Constant(variableIndices[variableName]);
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167 | var valuesExpr = Expression.ArrayIndex(columns, indexExpr);
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168 | return Expression.Multiply(variableWeight, Expression.Property(valuesExpr, Indexer, row));
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169 | }
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170 | case OpCodes.Add: {
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171 | Expression result = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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172 | for (int i = 1; i < node.SubtreeCount; ++i) {
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173 | result = Expression.Add(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns));
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174 | }
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175 | return result;
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176 | }
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177 | case OpCodes.Sub: {
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178 | Expression result = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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179 | if (node.SubtreeCount == 1)
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180 | return Expression.Negate(result);
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181 | for (int i = 1; i < node.SubtreeCount; ++i) {
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182 | result = Expression.Subtract(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns));
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183 | }
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184 | return result;
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185 | }
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186 | case OpCodes.Mul: {
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187 | Expression result = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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188 | for (int i = 1; i < node.SubtreeCount; ++i) {
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189 | result = Expression.Multiply(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns));
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190 | }
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191 | return result;
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192 | }
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193 | case OpCodes.Div: {
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194 | Expression result = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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195 | if (node.SubtreeCount == 1)
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196 | return Expression.Divide(Expression.Constant(1.0), result);
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197 | for (int i = 1; i < node.SubtreeCount; ++i) {
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198 | result = Expression.Divide(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns));
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199 | }
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200 | return result;
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201 | }
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202 | case OpCodes.Average: {
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203 | Expression result = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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204 | for (int i = 1; i < node.SubtreeCount; ++i) {
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205 | result = Expression.Add(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns));
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206 | }
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207 | return Expression.Divide(result, Expression.Constant((double)node.SubtreeCount));
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208 | }
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209 | case OpCodes.Cos: {
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210 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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211 | return Expression.Call(Cos, arg);
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212 | }
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213 | case OpCodes.Sin: {
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214 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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215 | return Expression.Call(Sin, arg);
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216 | }
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217 | case OpCodes.Tan: {
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218 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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219 | return Expression.Call(Tan, arg);
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220 | }
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221 | case OpCodes.Square: {
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222 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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223 | return Expression.Power(arg, Expression.Constant(2.0));
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224 | }
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225 | case OpCodes.Power: {
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226 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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227 | var power = MakeExpr(node.GetSubtree(1), variableIndices, row, columns);
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228 | return Expression.Power(arg, Expression.Call(Round, power));
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229 | }
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230 | case OpCodes.SquareRoot: {
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231 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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232 | return Expression.Call(Sqrt, arg);
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233 | }
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234 | case OpCodes.Root: {
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235 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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236 | var power = MakeExpr(node.GetSubtree(1), variableIndices, row, columns);
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237 | return Expression.Power(arg, Expression.Divide(Expression.Constant(1.0), Expression.Call(Round, power)));
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238 | }
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239 | case OpCodes.Exp: {
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240 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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241 | return Expression.Call(Exp, arg);
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242 | }
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243 | case OpCodes.Log: {
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244 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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245 | return Expression.Call(Log, arg);
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246 | }
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247 | case OpCodes.Gamma: {
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248 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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249 | var isNaN = Expression.Call(IsNaN, arg);
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250 |
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251 | var result = Expression.Variable(typeof(double));
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252 | var expr = Expression.Block(
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253 | new[] { result },
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254 | Expression.IfThenElse(
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255 | isNaN,
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256 | Expression.Assign(result, Expression.Constant(double.NaN)),
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257 | Expression.Assign(result, Expression.Call(Gamma, arg))
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258 | ),
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259 | result
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260 | );
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261 | return expr;
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262 | }
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263 | case OpCodes.Psi: {
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264 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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265 | var isNaN = Expression.Call(IsNaN, arg);
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266 |
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267 | var result = Expression.Variable(typeof(double));
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268 | var floor = Expression.Call(Floor, arg);
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269 | var expr = Expression.Block(
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270 | new[] { result },
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271 | Expression.IfThenElse(
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272 | isNaN,
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273 | Expression.Assign(result, Expression.Constant(double.NaN)),
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274 | Expression.IfThenElse(
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275 | Expression.AndAlso(
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276 | Expression.LessThanOrEqual(arg, Expression.Constant(0.0)),
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277 | Expression.Call(IsAlmost, Expression.Subtract(floor, arg), Expression.Constant(0.0))),
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278 | Expression.Assign(result, Expression.Constant(double.NaN)),
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279 | Expression.Assign(result, Expression.Call(Psi, arg)))
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280 | ),
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281 | result);
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282 |
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283 | return expr;
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284 | }
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285 | case OpCodes.Dawson: {
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286 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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287 | var isNaN = Expression.Call(IsNaN, arg);
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288 | var result = Expression.Variable(typeof(double));
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289 | var expr = Expression.Block(
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290 | new[] { result },
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291 | Expression.IfThenElse(isNaN,
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292 | Expression.Assign(result, Expression.Constant(double.NaN)),
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293 | Expression.Assign(result, Expression.Call(DawsonIntegral, arg))),
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294 | result
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295 | );
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296 |
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297 | return expr;
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298 | }
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299 | case OpCodes.ExponentialIntegralEi: {
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300 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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301 | var isNaN = Expression.Call(IsNaN, arg);
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302 | var result = Expression.Variable(typeof(double));
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303 | var expr = Expression.Block(
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304 | new[] { result },
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305 | Expression.IfThenElse(isNaN,
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306 | Expression.Assign(result, Expression.Constant(double.NaN)),
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307 | Expression.Assign(result, Expression.Call(ExponentialIntegralEi, arg))),
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308 | result
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309 | );
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310 |
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311 | return expr;
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312 | }
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313 | case OpCodes.SineIntegral: {
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314 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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315 | var isNaN = Expression.Call(IsNaN, arg);
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316 | var si = Expression.Variable(typeof(double));
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317 | var ci = Expression.Variable(typeof(double));
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318 | var block = Expression.Block(
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319 | new[] { si, ci },
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320 | Expression.Call(SineCosineIntegrals, arg, si, ci),
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321 | si
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322 | );
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323 | var result = Expression.Variable(typeof(double));
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324 | var expr = Expression.Block(new[] { result },
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325 | Expression.IfThenElse(isNaN,
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326 | Expression.Assign(result, Expression.Constant(double.NaN)),
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327 | Expression.Assign(result, block)),
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328 | result
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329 | );
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330 |
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331 | return expr;
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332 | }
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333 | case OpCodes.CosineIntegral: {
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334 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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335 | var isNaN = Expression.Call(IsNaN, arg);
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336 | var si = Expression.Variable(typeof(double));
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337 | var ci = Expression.Variable(typeof(double));
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338 | var block = Expression.Block(
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339 | new[] { si, ci },
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340 | Expression.Call(SineCosineIntegrals, arg, si, ci),
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341 | ci
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342 | );
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343 | var result = Expression.Variable(typeof(double));
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344 | var expr = Expression.Block(new[] { result },
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345 | Expression.IfThenElse(isNaN,
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346 | Expression.Assign(result, Expression.Constant(double.NaN)),
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347 | Expression.Assign(result, block)),
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348 | result
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349 | );
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350 |
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351 | return expr;
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352 | }
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353 | case OpCodes.HyperbolicSineIntegral: {
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354 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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355 | var isNaN = Expression.Call(IsNaN, arg);
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356 | var shi = Expression.Variable(typeof(double));
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357 | var chi = Expression.Variable(typeof(double));
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358 | var block = Expression.Block(
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359 | new[] { shi, chi },
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360 | Expression.Call(HyperbolicSineCosineIntegrals, arg, shi, chi),
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361 | shi
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362 | );
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363 | var result = Expression.Variable(typeof(double));
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364 | var expr = Expression.Block(new[] { result },
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365 | Expression.IfThenElse(isNaN,
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366 | Expression.Assign(result, Expression.Constant(double.NaN)),
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367 | Expression.Assign(result, block)),
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368 | result
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369 | );
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370 |
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371 | return expr;
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372 | }
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373 | case OpCodes.HyperbolicCosineIntegral: {
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374 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
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375 | var isNaN = Expression.Call(IsNaN, arg);
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376 | var shi = Expression.Variable(typeof(double));
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377 | var chi = Expression.Variable(typeof(double));
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378 | var block = Expression.Block(
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379 | new[] { shi, chi },
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380 | Expression.Call(HyperbolicSineCosineIntegrals, arg, shi, chi),
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381 | chi
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382 | );
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383 | var result = Expression.Variable(typeof(double));
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384 | var expr = Expression.Block(new[] { result },
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385 | Expression.IfThenElse(isNaN,
|
---|
386 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
387 | Expression.Assign(result, block)),
|
---|
388 | result
|
---|
389 | );
|
---|
390 |
|
---|
391 | return expr;
|
---|
392 | }
|
---|
393 | case OpCodes.FresnelSineIntegral: {
|
---|
394 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
395 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
396 | var s = Expression.Variable(typeof(double));
|
---|
397 | var c = Expression.Variable(typeof(double));
|
---|
398 | var block = Expression.Block(new[] { s, c }, Expression.Call(FresnelIntegral, arg, c, s), s);
|
---|
399 | var result = Expression.Variable(typeof(double));
|
---|
400 | var expr = Expression.Block(new[] { result },
|
---|
401 | Expression.IfThenElse(isNaN,
|
---|
402 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
403 | Expression.Assign(result, block)),
|
---|
404 | result
|
---|
405 | );
|
---|
406 |
|
---|
407 | return expr;
|
---|
408 | }
|
---|
409 | case OpCodes.FresnelCosineIntegral: {
|
---|
410 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
411 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
412 | var s = Expression.Variable(typeof(double));
|
---|
413 | var c = Expression.Variable(typeof(double));
|
---|
414 | var block = Expression.Block(new[] { s, c }, Expression.Call(FresnelIntegral, arg, c, s), c);
|
---|
415 | var result = Expression.Variable(typeof(double));
|
---|
416 | var expr = Expression.Block(new[] { result },
|
---|
417 | Expression.IfThenElse(isNaN,
|
---|
418 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
419 | Expression.Assign(result, block)),
|
---|
420 | result
|
---|
421 | );
|
---|
422 |
|
---|
423 | return expr;
|
---|
424 | }
|
---|
425 | case OpCodes.AiryA: {
|
---|
426 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
427 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
428 | var ai = Expression.Variable(typeof(double));
|
---|
429 | var aip = Expression.Variable(typeof(double));
|
---|
430 | var bi = Expression.Variable(typeof(double));
|
---|
431 | var bip = Expression.Variable(typeof(double));
|
---|
432 | var block = Expression.Block(new[] { ai, aip, bi, bip }, Expression.Call(Airy, arg, ai, aip, bi, bip), ai);
|
---|
433 | var result = Expression.Variable(typeof(double));
|
---|
434 | var expr = Expression.Block(new[] { result },
|
---|
435 | Expression.IfThenElse(isNaN,
|
---|
436 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
437 | Expression.Assign(result, block)),
|
---|
438 | result
|
---|
439 | );
|
---|
440 |
|
---|
441 | return expr;
|
---|
442 | }
|
---|
443 | case OpCodes.AiryB: {
|
---|
444 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
445 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
446 | var ai = Expression.Variable(typeof(double));
|
---|
447 | var aip = Expression.Variable(typeof(double));
|
---|
448 | var bi = Expression.Variable(typeof(double));
|
---|
449 | var bip = Expression.Variable(typeof(double));
|
---|
450 | var block = Expression.Block(new[] { ai, aip, bi, bip }, Expression.Call(Airy, arg, ai, aip, bi, bip), bi);
|
---|
451 | var result = Expression.Variable(typeof(double));
|
---|
452 | var expr = Expression.Block(new[] { result },
|
---|
453 | Expression.IfThenElse(isNaN,
|
---|
454 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
455 | Expression.Assign(result, block)),
|
---|
456 | result
|
---|
457 | );
|
---|
458 |
|
---|
459 | return expr;
|
---|
460 | }
|
---|
461 | case OpCodes.Norm: {
|
---|
462 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
463 | var result = Expression.Variable(typeof(double));
|
---|
464 | return Expression.Block(
|
---|
465 | new[] { result },
|
---|
466 | Expression.IfThenElse(
|
---|
467 | Expression.Call(IsNaN, arg),
|
---|
468 | Expression.Assign(result, arg),
|
---|
469 | Expression.Assign(result, Expression.Call(NormalDistribution, arg))),
|
---|
470 | result);
|
---|
471 | }
|
---|
472 | case OpCodes.Erf: {
|
---|
473 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
474 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
475 | var result = Expression.Variable(typeof(double));
|
---|
476 | return Expression.Block(
|
---|
477 | new[] { result },
|
---|
478 | Expression.IfThenElse(
|
---|
479 | isNaN,
|
---|
480 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
481 | Expression.Assign(result, Expression.Call(ErrorFunction, arg))),
|
---|
482 | result);
|
---|
483 | }
|
---|
484 | case OpCodes.Bessel: {
|
---|
485 | var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
486 | var isNaN = Expression.Call(IsNaN, arg);
|
---|
487 | var result = Expression.Variable(typeof(double));
|
---|
488 | return Expression.Block(
|
---|
489 | new[] { result },
|
---|
490 | Expression.IfThenElse(
|
---|
491 | isNaN,
|
---|
492 | Expression.Assign(result, Expression.Constant(double.NaN)),
|
---|
493 | Expression.Assign(result, Expression.Call(Bessel, arg))),
|
---|
494 | result);
|
---|
495 | }
|
---|
496 | case OpCodes.IfThenElse: {
|
---|
497 | var test = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
498 | var result = Expression.Variable(typeof(double));
|
---|
499 | var condition = Expression.IfThenElse(Expression.GreaterThan(test, Expression.Constant(0.0)),
|
---|
500 | Expression.Assign(result, MakeExpr(node.GetSubtree(1), variableIndices, row, columns)),
|
---|
501 | Expression.Assign(result, MakeExpr(node.GetSubtree(2), variableIndices, row, columns)));
|
---|
502 | return Expression.Block(new[] { result }, condition, result);
|
---|
503 | }
|
---|
504 | case OpCodes.AND: {
|
---|
505 | var result = Expression.Variable(typeof(double));
|
---|
506 | var expr = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
507 |
|
---|
508 | for (int i = 1; i < node.SubtreeCount; ++i) {
|
---|
509 | expr = Expression.Block(new[] { result },
|
---|
510 | Expression.IfThenElse(
|
---|
511 | Expression.GreaterThan(expr, Expression.Constant(0.0)),
|
---|
512 | Expression.Assign(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns)),
|
---|
513 | Expression.Assign(result, expr)),
|
---|
514 | result
|
---|
515 | );
|
---|
516 | }
|
---|
517 |
|
---|
518 | return Expression.Block(
|
---|
519 | new[] { result },
|
---|
520 | Expression.Assign(result, expr),
|
---|
521 | Expression.IfThenElse(
|
---|
522 | Expression.GreaterThan(result, Expression.Constant(0.0)),
|
---|
523 | Expression.Assign(result, Expression.Constant(1.0)),
|
---|
524 | Expression.Assign(result, Expression.Constant(-1.0))
|
---|
525 | ),
|
---|
526 | result
|
---|
527 | );
|
---|
528 | }
|
---|
529 | case OpCodes.OR: {
|
---|
530 | var result = Expression.Variable(typeof(double));
|
---|
531 | var expr = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
532 |
|
---|
533 | for (int i = 1; i < node.SubtreeCount; ++i) {
|
---|
534 | expr = Expression.Block(new[] { result },
|
---|
535 | Expression.IfThenElse(
|
---|
536 | Expression.LessThanOrEqual(expr, Expression.Constant(0.0)),
|
---|
537 | Expression.Assign(result, MakeExpr(node.GetSubtree(i), variableIndices, row, columns)),
|
---|
538 | Expression.Assign(result, expr)),
|
---|
539 | result
|
---|
540 | );
|
---|
541 | }
|
---|
542 |
|
---|
543 | return Expression.Block(
|
---|
544 | new[] { result },
|
---|
545 | Expression.Assign(result, expr),
|
---|
546 | Expression.IfThenElse(
|
---|
547 | Expression.GreaterThan(result, Expression.Constant(0.0)),
|
---|
548 | Expression.Assign(result, Expression.Constant(1.0)),
|
---|
549 | Expression.Assign(result, Expression.Constant(-1.0))
|
---|
550 | ),
|
---|
551 | result
|
---|
552 | );
|
---|
553 | }
|
---|
554 | case OpCodes.NOT: {
|
---|
555 | var value = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
556 | var result = Expression.Variable(typeof(double));
|
---|
557 | var condition = Expression.IfThenElse(Expression.GreaterThan(value, Expression.Constant(0.0)),
|
---|
558 | Expression.Assign(result, Expression.Constant(-1.0)),
|
---|
559 | Expression.Assign(result, Expression.Constant(1.0)));
|
---|
560 | return Expression.Block(new[] { result }, condition, result);
|
---|
561 | }
|
---|
562 | case OpCodes.XOR: {
|
---|
563 | var ps = Expression.Variable(typeof(int));
|
---|
564 | var block = Expression.Block(
|
---|
565 | new[] { ps },
|
---|
566 | Expression.Assign(ps, Expression.Constant(0)),
|
---|
567 | ps
|
---|
568 | );
|
---|
569 |
|
---|
570 | foreach (var subtree in node.Subtrees) {
|
---|
571 | var expr = MakeExpr(subtree, variableIndices, row, columns);
|
---|
572 | block = Expression.Block(
|
---|
573 | new[] { ps },
|
---|
574 | Expression.Assign(ps, block),
|
---|
575 | Expression.IfThen(Expression.GreaterThan(expr, Expression.Constant(0.0)),
|
---|
576 | Expression.PostIncrementAssign(ps)),
|
---|
577 | ps
|
---|
578 | );
|
---|
579 | }
|
---|
580 |
|
---|
581 | var result = Expression.Variable(typeof(double));
|
---|
582 | var xorExpr = Expression.Block(
|
---|
583 | new[] { result },
|
---|
584 | Expression.IfThenElse(
|
---|
585 | Expression.Equal(Expression.Modulo(block, Expression.Constant(2)), Expression.Constant(0)),
|
---|
586 | Expression.Assign(result, Expression.Constant(-1.0)),
|
---|
587 | Expression.Assign(result, Expression.Constant(1.0))
|
---|
588 | ),
|
---|
589 | result
|
---|
590 | );
|
---|
591 | return xorExpr;
|
---|
592 | }
|
---|
593 | case OpCodes.GT: {
|
---|
594 | var left = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
595 | var right = MakeExpr(node.GetSubtree(1), variableIndices, row, columns);
|
---|
596 | var result = Expression.Variable(typeof(double));
|
---|
597 |
|
---|
598 | var condition = Expression.IfThenElse(Expression.GreaterThan(left, right),
|
---|
599 | Expression.Assign(result, Expression.Constant(1.0)), Expression.Assign(result, Expression.Constant(-1.0)));
|
---|
600 | return Expression.Block(
|
---|
601 | new[] { result },
|
---|
602 | condition,
|
---|
603 | result);
|
---|
604 | }
|
---|
605 | case OpCodes.LT: {
|
---|
606 | var left = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
607 | var right = MakeExpr(node.GetSubtree(1), variableIndices, row, columns);
|
---|
608 | var result = Expression.Variable(typeof(double));
|
---|
609 |
|
---|
610 | var condition = Expression.IfThenElse(Expression.LessThan(left, right),
|
---|
611 | Expression.Assign(result, Expression.Constant(1.0)), Expression.Assign(result, Expression.Constant(-1.0)));
|
---|
612 | return Expression.Block(new[] { result }, condition, result);
|
---|
613 | }
|
---|
614 | case OpCodes.VariableCondition: {
|
---|
615 | var variableConditionTreeNode = (VariableConditionTreeNode)node;
|
---|
616 | var variableName = variableConditionTreeNode.VariableName;
|
---|
617 | var indexExpr = Expression.Constant(variableIndices[variableName]);
|
---|
618 | var valuesExpr = Expression.ArrayIndex(columns, indexExpr);
|
---|
619 | var variableValue = Expression.Property(valuesExpr, Indexer, row);
|
---|
620 | var variableThreshold = Expression.Constant(variableConditionTreeNode.Threshold);
|
---|
621 | var variableSlope = Expression.Constant(variableConditionTreeNode.Slope);
|
---|
622 |
|
---|
623 | var x = Expression.Subtract(variableValue, variableThreshold);
|
---|
624 | var xSlope = Expression.Multiply(Expression.Negate(variableSlope), x);
|
---|
625 | var xSlopeExp = Expression.Call(Exp, xSlope);
|
---|
626 | var p = Expression.Divide(Expression.Constant(1), Expression.Add(Expression.Constant(1), xSlopeExp));
|
---|
627 | var trueBranch = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
|
---|
628 | var falseBranch = MakeExpr(node.GetSubtree(1), variableIndices, row, columns);
|
---|
629 | return Expression.Add(
|
---|
630 | Expression.Multiply(trueBranch, p),
|
---|
631 | Expression.Multiply(falseBranch, Expression.Subtract(Expression.Constant(1), p))
|
---|
632 | );
|
---|
633 | }
|
---|
634 | default:
|
---|
635 | throw new NotSupportedException("Unsupported symbol: " + node.Symbol);
|
---|
636 | }
|
---|
637 | #endregion
|
---|
638 | }
|
---|
639 | }
|
---|
640 | }
|
---|