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Ignore:
Timestamp:
05/04/19 08:22:42 (6 years ago)
Author:
gkronber
Message:

#2925 merged r16661:16890 from trunk to branch

Location:
branches/2925_AutoDiffForDynamicalModels
Files:
19 edited

Legend:

Unmodified
Added
Removed

  • branches/2925_AutoDiffForDynamicalModels

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Converters/DerivativeCalculator.cs

    r16662 r16892  
    8383        if (branch.SubtreeCount >= 2) {
    8484          var f = (ISymbolicExpressionTreeNode)branch.GetSubtree(0).Clone();
    85           var g = (ISymbolicExpressionTreeNode)branch.GetSubtree(1).Clone();
    8685          var fprime = Derive(f, variableName);
    87           var gprime = Derive(g, variableName);
    88           var fgPrime = Sum(Product(f, gprime), Product(fprime, g));
    89           for (int i = 2; i < branch.SubtreeCount; i++) {
     86          for (int i = 1; i < branch.SubtreeCount; i++) {
     87            var g = (ISymbolicExpressionTreeNode)branch.GetSubtree(i).Clone();
    9088            var fg = Product((ISymbolicExpressionTreeNode)f.Clone(), (ISymbolicExpressionTreeNode)g.Clone());
    91             var h = (ISymbolicExpressionTreeNode)branch.GetSubtree(i).Clone();
    92             var hPrime = Derive(h, variableName);
    93             fgPrime = Sum(Product(fgPrime, h), Product(fg, hPrime));
     89            var gPrime = Derive(g, variableName);
     90            var fgPrime = Sum(Product(fprime, g), Product(gPrime, f));
     91            // prepare for next iteration
     92            f = fg;
     93            fprime = fgPrime;
    9494          }
    95           return fgPrime;
     95          return fprime;
    9696        } else
    9797          // multiplication with only one argument has no effect -> derive the argument

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Converters/LinearModelToTreeConverter.cs

    r16662 r16892  
    3838      double @const = 0) {
    3939
    40       if (factorCoefficients.Length == 0 && coefficients.Length == 0) throw new ArgumentException();
     40      if (factorCoefficients.Length == 0 && coefficients.Length == 0 && @const==0) throw new ArgumentException();
     41
     42      // Combine both trees
     43      ISymbolicExpressionTreeNode add = (new Addition()).CreateTreeNode();
    4144
    4245      // Create tree for double variables
    43       ISymbolicExpressionTree tree = null;     
    4446      if (coefficients.Length > 0) {
    45         tree = CreateTree(variableNames, new int[variableNames.Length], coefficients, @const);
    46         if (factorCoefficients.Length == 0) return tree;
     47        var varTree = CreateTree(variableNames, new int[variableNames.Length], coefficients);
     48        foreach (var varNode in varTree.IterateNodesPrefix().OfType<VariableTreeNode>())
     49          add.AddSubtree(varNode);
    4750      }
    4851
    4952      // Create tree for string variables
    50       ISymbolicExpressionTree factorTree = null;     
    5153      if (factorCoefficients.Length > 0) {
    52         factorTree = CreateTree(factors, factorCoefficients, @const);
    53         if (tree == null) return factorTree; 
     54        var factorTree = CreateTree(factors, factorCoefficients);
     55        foreach (var binFactorNode in factorTree.IterateNodesPrefix().OfType<BinaryFactorVariableTreeNode>())
     56          add.AddSubtree(binFactorNode);
    5457      }
    5558
    56       // Combine both trees
    57       ISymbolicExpressionTreeNode add = tree.Root.GetSubtree(0).GetSubtree(0);
    58       foreach (var binFactorNode in factorTree.IterateNodesPrefix().OfType<BinaryFactorVariableTreeNode>())
    59         add.InsertSubtree(add.SubtreeCount - 1, binFactorNode);
     59      if (@const!=0.0) {
     60        ConstantTreeNode cNode = (ConstantTreeNode)new Constant().CreateTreeNode();
     61        cNode.Value = @const;
     62        add.AddSubtree(cNode);
     63      }
     64
     65      ISymbolicExpressionTree tree = new SymbolicExpressionTree(new ProgramRootSymbol().CreateTreeNode());
     66      ISymbolicExpressionTreeNode startNode = new StartSymbol().CreateTreeNode();
     67      tree.Root.AddSubtree(startNode);
     68      startNode.AddSubtree(add);
    6069      return tree;
    61 
    62       throw new ArgumentException();
    6370    }
    6471

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/InfixExpressionFormatter.cs

    r16662 r16892  
    5151    }
    5252
    53     public string Format(ISymbolicExpressionTree symbolicExpressionTree) {
     53    /// <summary>
     54    /// Produces an infix expression for a given expression tree.
     55    /// </summary>
     56    /// <param name="symbolicExpressionTree">The tree representation of the expression.</param>
     57    /// <param name="numberFormat">Number format that should be used for numeric parameters (e.g. NumberFormatInfo.InvariantInfo (default)).</param>
     58    /// <param name="formatString">The format string for numeric parameters (e.g. \"G4\" to limit to 4 digits, default is \"G\")</param>
     59    /// <returns>Infix expression</returns>
     60    public string Format(ISymbolicExpressionTree symbolicExpressionTree, NumberFormatInfo numberFormat, string formatString="G") {
    5461      // skip root and start symbols
    5562      StringBuilder strBuilder = new StringBuilder();
    56       FormatRecursively(symbolicExpressionTree.Root.GetSubtree(0).GetSubtree(0), strBuilder);
     63      FormatRecursively(symbolicExpressionTree.Root.GetSubtree(0).GetSubtree(0), strBuilder, numberFormat, formatString);
    5764      return strBuilder.ToString();
    5865    }
    5966
    60     private void FormatRecursively(ISymbolicExpressionTreeNode node, StringBuilder strBuilder) {
     67    public string Format(ISymbolicExpressionTree symbolicExpressionTree) {
     68      return Format(symbolicExpressionTree, NumberFormatInfo.InvariantInfo);
     69    }
     70
     71    private static void FormatRecursively(ISymbolicExpressionTreeNode node, StringBuilder strBuilder, NumberFormatInfo numberFormat, string formatString) {
    6172      if (node.SubtreeCount > 1) {
    6273        var token = GetToken(node.Symbol);
    … …  
    6677            token == "^") {
    6778          strBuilder.Append("(");
    68           FormatRecursively(node.Subtrees.First(), strBuilder);
     79          FormatRecursively(node.Subtrees.First(), strBuilder, numberFormat, formatString);
    6980
    7081          foreach (var subtree in node.Subtrees.Skip(1)) {
    7182            strBuilder.Append(" ").Append(token).Append(" ");
    72             FormatRecursively(subtree, strBuilder);
     83            FormatRecursively(subtree, strBuilder, numberFormat, formatString);
    7384          }
    7485          strBuilder.Append(")");
    … …  
    7687          // function with multiple arguments
    7788          strBuilder.Append(token).Append("(");
    78           FormatRecursively(node.Subtrees.First(), strBuilder);
     89          FormatRecursively(node.Subtrees.First(), strBuilder, numberFormat, formatString);
    7990          foreach (var subtree in node.Subtrees.Skip(1)) {
    8091            strBuilder.Append(", ");
    81             FormatRecursively(subtree, strBuilder);
     92            FormatRecursively(subtree, strBuilder, numberFormat, formatString);
    8293          }
    8394          strBuilder.Append(")");
    … …  
    8798        if (token == "-" || token == "NOT") {
    8899          strBuilder.Append("(").Append(token).Append("(");
    89           FormatRecursively(node.GetSubtree(0), strBuilder);
     100          FormatRecursively(node.GetSubtree(0), strBuilder, numberFormat, formatString);
    90101          strBuilder.Append("))");
    91102        } else if (token == "/") {
    92103          strBuilder.Append("1/");
    93           FormatRecursively(node.GetSubtree(0), strBuilder);
     104          FormatRecursively(node.GetSubtree(0), strBuilder, numberFormat, formatString);
    94105        } else if (token == "+" || token == "*") {
    95           FormatRecursively(node.GetSubtree(0), strBuilder);
     106          FormatRecursively(node.GetSubtree(0), strBuilder, numberFormat, formatString);
    96107        } else {
    97108          // function with only one argument
    98109          strBuilder.Append(token).Append("(");
    99           FormatRecursively(node.GetSubtree(0), strBuilder);
     110          FormatRecursively(node.GetSubtree(0), strBuilder, numberFormat, formatString);
    100111          strBuilder.Append(")");
    101112        }
    … …  
    106117          if (!varNode.Weight.IsAlmost(1.0)) {
    107118            strBuilder.Append("(");
    108             strBuilder.AppendFormat(CultureInfo.InvariantCulture, "{0}", varNode.Weight);
     119            strBuilder.Append(varNode.Weight.ToString(formatString, numberFormat));
    109120            strBuilder.Append("*");
    110121          }
    … …  
    116127          }
    117128          strBuilder.Append(", ")
    118             .AppendFormat(CultureInfo.InvariantCulture, "{0}", varNode.Lag)
     129            .AppendFormat(numberFormat, "{0}", varNode.Lag)
    119130            .Append(")");
    120131        } else if (node.Symbol is Variable) {
    … …  
    122133          if (!varNode.Weight.IsAlmost(1.0)) {
    123134            strBuilder.Append("(");
    124             strBuilder.AppendFormat(CultureInfo.InvariantCulture, "{0}", varNode.Weight);
     135            strBuilder.Append(varNode.Weight.ToString(formatString, numberFormat));
    125136            strBuilder.Append("*");
    126137          }
    … …  
    141152          }
    142153          strBuilder.AppendFormat("[{0}]",
    143             string.Join(", ", factorNode.Weights.Select(w => w.ToString(CultureInfo.InvariantCulture))));
     154            string.Join(", ", factorNode.Weights.Select(w => w.ToString(formatString, numberFormat))));
    144155        } else if (node.Symbol is BinaryFactorVariable) {
    145156          var factorNode = node as BinaryFactorVariableTreeNode;
    146157          if (!factorNode.Weight.IsAlmost(1.0)) {
    147158            strBuilder.Append("(");
    148             strBuilder.AppendFormat(CultureInfo.InvariantCulture, "{0}", factorNode.Weight);
     159            strBuilder.Append(factorNode.Weight.ToString(formatString, numberFormat));
    149160            strBuilder.Append("*");
    150161          }
    … …  
    168179          var constNode = node as ConstantTreeNode;
    169180          if (constNode.Value >= 0.0)
    170             strBuilder.AppendFormat(CultureInfo.InvariantCulture, "{0}", constNode.Value);
     181            strBuilder.Append(constNode.Value.ToString(formatString, numberFormat));
    171182          else
    172             strBuilder.AppendFormat(CultureInfo.InvariantCulture, "({0})", constNode.Value); // (-1
     183            strBuilder.Append("(").Append(constNode.Value.ToString(formatString, numberFormat)).Append(")"); // (-1
    173184        }
    174185      }
    175186    }
    176187
    177     private string GetToken(ISymbol symbol) {
     188    private static string GetToken(ISymbol symbol) {
    178189      var tok = InfixExpressionParser.knownSymbols.GetBySecond(symbol).FirstOrDefault();
    179190      if (tok == null)

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionCSharpFormatter.cs

    r16662 r16892  
    2626using System.Text;
    2727using System.Text.RegularExpressions;
     28using HEAL.Attic;
    2829using HeuristicLab.Common;
    2930using HeuristicLab.Core;
    3031using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    31 using HEAL.Attic;
    3232
    3333namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    5656    }
    5757
    58     private string VariableName2Identifier(string name) {     
     58    private string VariableName2Identifier(string name) {
    5959      /*
    6060       * identifier-start-character:
    … …  
    131131        } else if (node.Symbol is Tangent) {
    132132          FormatFunction(node, "Math.Tan", strBuilder);
     133        } else if (node.Symbol is HyperbolicTangent) {
     134          FormatFunction(node, "Math.Tanh", strBuilder);
    133135        } else if (node.Symbol is Square) {
    134136          FormatSquare(node, strBuilder);
    135137        } else if (node.Symbol is SquareRoot) {
    136138          FormatFunction(node, "Math.Sqrt", strBuilder);
     139        } else if (node.Symbol is Cube) {
     140          FormatPower(node, strBuilder, "3");
     141        } else if (node.Symbol is CubeRoot) {
     142          FormatPower(node, strBuilder, "1.0/3");
    137143        } else if (node.Symbol is Power) {
    138144          FormatFunction(node, "Math.Pow", strBuilder);
    139145        } else if (node.Symbol is Root) {
    140146          FormatRoot(node, strBuilder);
     147        } else if (node.Symbol is Absolute) {
     148          FormatFunction(node, "Math.Abs", strBuilder);
     149        } else if (node.Symbol is AnalyticQuotient) {
     150          strBuilder.Append("(");
     151          FormatRecursively(node.GetSubtree(0), strBuilder);
     152          strBuilder.Append(" / Math.Sqrt(1 + Math.Pow(");
     153          FormatRecursively(node.GetSubtree(1), strBuilder);
     154          strBuilder.Append(" , 2) )");
    141155        } else {
    142156          throw new NotSupportedException("Formatting of symbol: " + node.Symbol + " not supported for C# symbolic expression tree formatter.");
    … …  
    171185
    172186    private void FormatSquare(ISymbolicExpressionTreeNode node, StringBuilder strBuilder) {
     187      FormatPower(node, strBuilder, "2");
     188    }
     189    private void FormatPower(ISymbolicExpressionTreeNode node, StringBuilder strBuilder, string exponent) {
    173190      strBuilder.Append("Math.Pow(");
    174191      FormatRecursively(node.GetSubtree(0), strBuilder);
    175       strBuilder.Append(", 2)");
     192      strBuilder.Append($", {exponent})");
    176193    }
    177194

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionExcelFormatter.cs

    r16662 r16892  
    2525using System.Linq;
    2626using System.Text;
     27using HEAL.Attic;
    2728using HeuristicLab.Common;
    2829using HeuristicLab.Core;
    2930using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    30 using HEAL.Attic;
    3131
    3232namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    119119        }
    120120        stringBuilder.Append(")");
     121      } else if (symbol is Absolute) {
     122        stringBuilder.Append($"ABS({FormatRecursively(node.GetSubtree(0))})");
     123      } else if (symbol is AnalyticQuotient) {
     124        stringBuilder.Append($"({FormatRecursively(node.GetSubtree(0))}) / SQRT(1 + POWER({FormatRecursively(node.GetSubtree(1))}, 2))");
    121125      } else if (symbol is Average) {
    122         stringBuilder.Append("(1/");
     126        stringBuilder.Append("(1/(");
    123127        stringBuilder.Append(node.SubtreeCount);
    124128        stringBuilder.Append(")*(");
    … …  
    129133          stringBuilder.Append(")");
    130134        }
    131         stringBuilder.Append(")");
     135        stringBuilder.Append("))");
    132136      } else if (symbol is Constant) {
    133137        ConstantTreeNode constantTreeNode = node as ConstantTreeNode;
    … …  
    137141        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    138142        stringBuilder.Append(")");
     143      } else if (symbol is Cube) {
     144        stringBuilder.Append($"POWER({FormatRecursively(node.GetSubtree(0))}, 3)");
     145      } else if (symbol is CubeRoot) {
     146        stringBuilder.Append($"POWER({FormatRecursively(node.GetSubtree(0))}, 1/3)");
    139147      } else if (symbol is Division) {
    140148        if (node.SubtreeCount == 1) {
    141           stringBuilder.Append("1/");
    142           stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     149          stringBuilder.Append("1/(");
     150          stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     151          stringBuilder.Append(")");
    143152        } else {
    144153          stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    … …  
    192201        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    193202        stringBuilder.Append(")");
    194 
     203      } else if (symbol is HyperbolicTangent) {
     204        stringBuilder.Append("TANH(");
     205        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     206        stringBuilder.Append(")");
    195207      } else if (symbol is Variable) {
    196208        VariableTreeNode variableTreeNode = node as VariableTreeNode;

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionLatexFormatter.cs

    r16662 r16892  
    2424using System.Linq;
    2525using System.Text;
     26using HEAL.Attic;
    2627using HeuristicLab.Common;
    2728using HeuristicLab.Core;
    2829using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HEAL.Attic;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    117117          strBuilder.Append(@" \cfrac{ ");
    118118        }
     119      } else if (node.Symbol is Absolute) {
     120        strBuilder.Append(@"\operatorname{abs} \left( ");
     121      } else if (node.Symbol is AnalyticQuotient) {
     122        strBuilder.Append(@" \frac { ");
    119123      } else if (node.Symbol is Average) {
    120124        // skip output of (1/1) if only one subtree
    … …  
    131135      } else if (node.Symbol is SquareRoot) {
    132136        strBuilder.Append(@"\sqrt{");
     137      } else if (node.Symbol is Cube) {
     138        strBuilder.Append(@"\left(");
     139      } else if (node.Symbol is CubeRoot) {
     140        strBuilder.Append(@"\left(");
    133141      } else if (node.Symbol is Sine) {
    134142        strBuilder.Append(@"\sin \left( ");
    … …  
    137145      } else if (node.Symbol is Tangent) {
    138146        strBuilder.Append(@"\tan \left( ");
     147      } else if (node.Symbol is HyperbolicTangent) {
     148        strBuilder.Append(@"\tanh \left( ");
    139149      } else if (node.Symbol is AiryA) {
    140150        strBuilder.Append(@"\operatorname{airy}_a \left( ");
    … …  
    287297        else
    288298          strBuilder.Append(@" }{ \cfrac{ ");
     299      } else if (node.Symbol is Absolute) {
     300        throw new InvalidOperationException();
     301      } else if (node.Symbol is AnalyticQuotient) {
     302        strBuilder.Append(@"}{\sqrt{1 + \left( ");
    289303      } else if (node.Symbol is Average) {
    290304        strBuilder.Append(@" + ");
    … …  
    297311      } else if (node.Symbol is SquareRoot) {
    298312        throw new InvalidOperationException();
     313      } else if (node.Symbol is Cube) {
     314        throw new InvalidOperationException();
     315      } else if (node.Symbol is CubeRoot) {
     316        throw new InvalidOperationException();
    299317      } else if (node.Symbol is Sine) {
    300318        throw new InvalidOperationException();
    … …  
    302320        throw new InvalidOperationException();
    303321      } else if (node.Symbol is Tangent) {
     322        throw new InvalidOperationException();
     323      } else if (node.Symbol is HyperbolicTangent) {
    304324        throw new InvalidOperationException();
    305325      } else if (node.Symbol is AiryA) {
    … …  
    383403        for (int i = 2; i < node.SubtreeCount; i++)
    384404          strBuilder.Append(" } ");
     405      } else if (node.Symbol is Absolute) {
     406        strBuilder.Append(@" \right)");
     407      } else if (node.Symbol is AnalyticQuotient) {
     408        strBuilder.Append(@" \right)^2}}");
    385409      } else if (node.Symbol is Average) {
    386410        strBuilder.Append(@" \right) ");
    … …  
    393417      } else if (node.Symbol is SquareRoot) {
    394418        strBuilder.Append(@"}");
     419      } else if (node.Symbol is Cube) {
     420        strBuilder.Append(@"\right)^3");
     421      } else if (node.Symbol is CubeRoot) {
     422        strBuilder.Append(@"\right)^\frac{1}{3}");
    395423      } else if (node.Symbol is Sine) {
    396424        strBuilder.Append(@" \right) ");
    … …  
    398426        strBuilder.Append(@" \right) ");
    399427      } else if (node.Symbol is Tangent) {
     428        strBuilder.Append(@" \right) ");
     429      } else if (node.Symbol is HyperbolicTangent) {
    400430        strBuilder.Append(@" \right) ");
    401431      } else if (node.Symbol is AiryA) {

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionMATLABFormatter.cs

    r16662 r16892  
    2323using System.Linq;
    2424using System.Text;
     25using HEAL.Attic;
    2526using HeuristicLab.Common;
    2627using HeuristicLab.Core;
    2728using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HEAL.Attic;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    126126        }
    127127        stringBuilder.Append(")");
     128      } else if (symbol is Absolute) {
     129        stringBuilder.Append($"abs({FormatRecursively(node.GetSubtree(0))})");
     130      } else if (symbol is AnalyticQuotient) {
     131        stringBuilder.Append($"({FormatRecursively(node.GetSubtree(0))}) / sqrt(1 + ({FormatRecursively(node.GetSubtree(1))}).^2)");
    128132      } else if (symbol is And) {
    129133        stringBuilder.Append("((");
    … …  
    179183        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    180184        stringBuilder.Append(")");
     185      } else if (symbol is Cube) {
     186        stringBuilder.Append("(");
     187        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     188        stringBuilder.Append(").^3");
     189      } else if (symbol is CubeRoot) {
     190        stringBuilder.Append("(");
     191        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     192        stringBuilder.Append(").^(1/3)");
    181193      } else if (symbol is GreaterThan) {
    182194        stringBuilder.Append("((");
    … …  
    252264      } else if (symbol is Tangent) {
    253265        stringBuilder.Append("tan(");
     266        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     267        stringBuilder.Append(")");
     268      } else if (symbol is HyperbolicTangent) {
     269        stringBuilder.Append("tanh(");
    254270        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    255271        stringBuilder.Append(")");

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionMathematicaFormatter.cs

    r16662 r16892  
    2424using System.Linq;
    2525using System.Text;
     26using HEAL.Attic;
    2627using HeuristicLab.Common;
    2728using HeuristicLab.Core;
    2829using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HEAL.Attic;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    5656        if (node.Symbol is Addition) {
    5757          FormatFunction(node, "Plus", strBuilder);
     58        } else if (node.Symbol is Absolute) {
     59          FormatFunction(node, "Abs", strBuilder);
     60        } else if (node.Symbol is AnalyticQuotient) {
     61          strBuilder.Append("[");
     62          FormatRecursively(node.GetSubtree(0), strBuilder);
     63          strBuilder.Append("]/Sqrt[ 1 + Power[");
     64          FormatRecursively(node.GetSubtree(1), strBuilder);
     65          strBuilder.Append(", 2]]");
    5866        } else if (node.Symbol is Average) {
    5967          FormatAverage(node, strBuilder);
    … …  
    7078        } else if (node.Symbol is Tangent) {
    7179          FormatFunction(node, "Tan", strBuilder);
     80        } else if (node.Symbol is HyperbolicTangent) {
     81          FormatFunction(node, "Tanh", strBuilder);
    7282        } else if (node.Symbol is Exponential) {
    7383          FormatFunction(node, "Exp", strBuilder);
    … …  
    102112        } else if (node.Symbol is SquareRoot) {
    103113          FormatFunction(node, "Sqrt", strBuilder);
     114        } else if (node.Symbol is Cube) {
     115          FormatPower(node, strBuilder, "3");
     116        } else if (node.Symbol is CubeRoot) {
     117          FormatPower(node, strBuilder, "1/3");
    104118        } else if (node.Symbol is Power) {
    105119          FormatFunction(node, "Power", strBuilder);
    … …  
    203217
    204218    private void FormatSquare(ISymbolicExpressionTreeNode node, StringBuilder strBuilder) {
     219      FormatPower(node, strBuilder, "2");
     220    }
     221
     222    private void FormatPower(ISymbolicExpressionTreeNode node, StringBuilder strBuilder, string exponent) {
    205223      strBuilder.Append("Power[");
    206224      FormatRecursively(node.GetSubtree(0), strBuilder);
    207       strBuilder.Append(", 2]");
     225      strBuilder.Append($", {exponent}]");
    208226    }
    209227

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Formatters/SymbolicDataAnalysisExpressionSmalltalkFormatter.cs

    r16662 r16892  
    2020#endregion
    2121
     22using System;
    2223using System.Globalization;
    2324using System.Text;
    … …  
    6970        }
    7071        stringBuilder.Append(") ifTrue:[1] ifFalse:[-1]");
     72      } else if (symbol is Absolute) {
     73        stringBuilder.Append($"({FormatRecursively(node.GetSubtree(0))}) abs");
     74      } else if (symbol is AnalyticQuotient) {
     75        stringBuilder.Append($"({FormatRecursively(node.GetSubtree(0))}) / (1 + ({FormatPower(node.GetSubtree(1), "2")})) sqrt");
    7176      } else if (symbol is Average) {
    7277        stringBuilder.Append("(1/");
    … …  
    8489        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    8590        stringBuilder.Append(" cos");
     91      } else if (symbol is Cube) {
     92        stringBuilder.Append(FormatPower(node.GetSubtree(0), "3"));
     93      } else if (symbol is CubeRoot) {
     94        stringBuilder.Append(FormatPower(node.GetSubtree(0), "(1/3)"));
    8695      } else if (symbol is Division) {
    8796        if (node.SubtreeCount == 1) {
    … …  
    146155        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    147156        stringBuilder.Append(" sin");
     157      } else if (symbol is Square) {
     158        stringBuilder.Append(FormatPower(node.GetSubtree(0), "2"));
     159      } else if (symbol is SquareRoot) {
     160        stringBuilder.Append(FormatPower(node.GetSubtree(0), "(1/2)"));
    148161      } else if (symbol is Subtraction) {
    149162        if (node.SubtreeCount == 1) {
    … …  
    160173        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
    161174        stringBuilder.Append(" tan");
     175      } else if (symbol is HyperbolicTangent) {
     176        stringBuilder.Append(FormatRecursively(node.GetSubtree(0)));
     177        stringBuilder.Append(" tanh");
    162178      } else if (symbol is Variable) {
    163179        VariableTreeNode variableTreeNode = node as VariableTreeNode;
    … …  
    181197    }
    182198
     199    private string FormatPower(ISymbolicExpressionTreeNode node, string exponent) {
     200      return $"(({FormatRecursively(node)}) log * {exponent}) exp ";
     201    }
     202
    183203    public override IDeepCloneable Clone(Cloner cloner) {
    184204      return new SymbolicDataAnalysisExpressionSmalltalkFormatter(this, cloner);

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj

    r16662 r16892  
    106106      <HintPath>..\..\bin\AutoDiff-1.0.dll</HintPath>
    107107      <Private>False</Private>
     108    </Reference>
     109    <Reference Include="HEAL.Attic, Version=1.0.0.0, Culture=neutral, PublicKeyToken=ba48961d6f65dcec, processorArchitecture=MSIL">
     110      <SpecificVersion>False</SpecificVersion>
     111      <HintPath>..\..\bin\HEAL.Attic.dll</HintPath>
    108112    </Reference>
    109113    <Reference Include="HeuristicLab.Problems.DataAnalysis.Symbolic.NativeInterpreter-0.1, Version=0.0.0.1, Culture=neutral, PublicKeyToken=ba48961d6f65dcec, processorArchitecture=MSIL">
    … …  
    404408    </ProjectReference>
    405409  </ItemGroup>
    406   <ItemGroup>
    407     <PackageReference Include="HEAL.Attic">
    408       <Version>1.0.0-pre03</Version>
    409     </PackageReference>
    410     <PackageReference Include="System.Numerics.Vectors">
    411       <Version>4.5.0</Version>
    412     </PackageReference>
    413   </ItemGroup>
    414410  <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
    415411  <!-- To modify your build process, add your task inside one of the targets below and uncomment it.

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/IntervalInterpreter.cs

    r16662 r16892  
    6969    #endregion
    7070
    71     public Interval GetSymbolicExressionTreeInterval(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows = null) {
     71    public Interval GetSymbolicExpressionTreeInterval(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows = null) {
    7272      var variableRanges = DatasetUtil.GetVariableRanges(dataset, rows);
    73       return GetSymbolicExressionTreeInterval(tree, variableRanges);
    74     }
    75 
    76     public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree, IDataset dataset,
    77       out Dictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals, IEnumerable<int> rows = null) {
     73      return GetSymbolicExpressionTreeInterval(tree, variableRanges);
     74    }
     75
     76    public Interval GetSymbolicExpressionTreeIntervals(ISymbolicExpressionTree tree, IDataset dataset,
     77      out IDictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals, IEnumerable<int> rows = null) {
    7878      var variableRanges = DatasetUtil.GetVariableRanges(dataset, rows);
    79       return GetSymbolicExressionTreeIntervals(tree, variableRanges, out nodeIntervals);
    80     }
    81 
    82     public Interval GetSymbolicExressionTreeInterval(ISymbolicExpressionTree tree, Dictionary<string, Interval> variableRanges) {
     79      return GetSymbolicExpressionTreeIntervals(tree, variableRanges, out nodeIntervals);
     80    }
     81
     82    public Interval GetSymbolicExpressionTreeInterval(ISymbolicExpressionTree tree, IDictionary<string, Interval> variableRanges) {
    8383      lock (syncRoot) {
    8484        EvaluatedSolutions++;
    … …  
    9696
    9797
    98     public Interval GetSymbolicExressionTreeIntervals(ISymbolicExpressionTree tree,
    99       Dictionary<string, Interval> variableRanges, out Dictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals) {
     98    public Interval GetSymbolicExpressionTreeIntervals(ISymbolicExpressionTree tree,
     99      IDictionary<string, Interval> variableRanges, out IDictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals) {
    100100      lock (syncRoot) {
    101101        EvaluatedSolutions++;
    … …  
    108108      // fix incorrect intervals if necessary (could occur because of numerical errors)
    109109      nodeIntervals = new Dictionary<ISymbolicExpressionTreeNode, Interval>();
    110       foreach(var kvp in intervals) {
     110      foreach (var kvp in intervals) {
    111111        var interval = kvp.Value;
    112112        if (interval.IsInfiniteOrUndefined || interval.LowerBound <= interval.UpperBound)
    … …  
    124124
    125125
    126     private static Instruction[] PrepareInterpreterState(ISymbolicExpressionTree tree, Dictionary<string, Interval> variableRanges) {
     126    private static Instruction[] PrepareInterpreterState(ISymbolicExpressionTree tree, IDictionary<string, Interval> variableRanges) {
    127127      if (variableRanges == null)
    128128        throw new ArgumentNullException("No variablew ranges are present!", nameof(variableRanges));
    … …  
    141141    }
    142142
    143     private Interval Evaluate(Instruction[] instructions, ref int instructionCounter, Dictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals = null) {
     143    private Interval Evaluate(Instruction[] instructions, ref int instructionCounter, IDictionary<ISymbolicExpressionTreeNode, Interval> nodeIntervals = null) {
    144144      Instruction currentInstr = instructions[instructionCounter];
    145145      //Use ref parameter, because the tree will be iterated through recursively from the left-side branch to the right side
    … …  
    216216            var argumentInterval = Evaluate(instructions, ref instructionCounter, nodeIntervals);
    217217            result = Interval.Tangens(argumentInterval);
     218            break;
     219          }
     220        case OpCodes.Tanh: {
     221            var argumentInterval = Evaluate(instructions, ref instructionCounter, nodeIntervals);
     222            result = Interval.HyperbolicTangent(argumentInterval);
    218223            break;
    219224          }

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/OpCodes.cs

    r16662 r16892  
    2222using System;
    2323using System.Collections.Generic;
     24using System.Linq;
    2425using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2526
    2627namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
     28  public enum OpCode : byte {
     29    Add = 1,
     30    Sub = 2,
     31    Mul = 3,
     32    Div = 4,
     33    Sin = 5,
     34    Cos = 6,
     35    Tan = 7,
     36    Log = 8,
     37    Exp = 9,
     38    IfThenElse = 10,
     39    GT = 11,
     40    LT = 12,
     41    AND = 13,
     42    OR = 14,
     43    NOT = 15,
     44    Average = 16,
     45    Call = 17,
     46    Variable = 18,
     47    LagVariable = 19,
     48    Constant = 20,
     49    Arg = 21,
     50    Power = 22,
     51    Root = 23,
     52    TimeLag = 24,
     53    Integral = 25,
     54    Derivative = 26,
     55    VariableCondition = 27,
     56    Square = 28,
     57    SquareRoot = 29,
     58    Gamma = 30,
     59    Psi = 31,
     60    Dawson = 32,
     61    ExponentialIntegralEi = 33,
     62    CosineIntegral = 34,
     63    SineIntegral = 35,
     64    HyperbolicCosineIntegral = 36,
     65    HyperbolicSineIntegral = 37,
     66    FresnelCosineIntegral = 38,
     67    FresnelSineIntegral = 39,
     68    AiryA = 40,
     69    AiryB = 41,
     70    Norm = 42,
     71    Erf = 43,
     72    Bessel = 44,
     73    XOR = 45,
     74    FactorVariable = 46,
     75    BinaryFactorVariable = 47,
     76    Absolute = 48,
     77    AnalyticQuotient = 49,
     78    Cube = 50,
     79    CubeRoot = 51,
     80    Tanh = 52,
     81  };
    2782  public static class OpCodes {
    28     public const byte Add = 1;
    29     public const byte Sub = 2;
    30     public const byte Mul = 3;
    31     public const byte Div = 4;
    32 
    33     public const byte Sin = 5;
    34     public const byte Cos = 6;
    35     public const byte Tan = 7;
    36 
    37     public const byte Log = 8;
    38     public const byte Exp = 9;
    39 
    40     public const byte IfThenElse = 10;
    41 
    42     public const byte GT = 11;
    43     public const byte LT = 12;
    44 
    45     public const byte AND = 13;
    46     public const byte OR = 14;
    47     public const byte NOT = 15;
    48 
    49 
    50     public const byte Average = 16;
    51 
    52     public const byte Call = 17;
    53 
    54     public const byte Variable = 18;
    55     public const byte LagVariable = 19;
    56     public const byte Constant = 20;
    57     public const byte Arg = 21;
    58 
    59     public const byte Power = 22;
    60     public const byte Root = 23;
    61     public const byte TimeLag = 24;
    62     public const byte Integral = 25;
    63     public const byte Derivative = 26;
    64 
    65     public const byte VariableCondition = 27;
    66 
    67     public const byte Square = 28;
    68     public const byte SquareRoot = 29;
    69     public const byte Gamma = 30;
    70     public const byte Psi = 31;
    71     public const byte Dawson = 32;
    72     public const byte ExponentialIntegralEi = 33;
    73     public const byte CosineIntegral = 34;
    74     public const byte SineIntegral = 35;
    75     public const byte HyperbolicCosineIntegral = 36;
    76     public const byte HyperbolicSineIntegral = 37;
    77     public const byte FresnelCosineIntegral = 38;
    78     public const byte FresnelSineIntegral = 39;
    79     public const byte AiryA = 40;
    80     public const byte AiryB = 41;
    81     public const byte Norm = 42;
    82     public const byte Erf = 43;
    83     public const byte Bessel = 44;
    84     public const byte XOR = 45;
    85     public const byte FactorVariable = 46;
    86     public const byte BinaryFactorVariable = 47;
    87     public const byte Absolute = 48;
    88     public const byte AnalyticQuotient = 49;
    89     public const byte Cube = 50;
    90     public const byte CubeRoot = 51;
    91 
    92     public const byte Tanh = 52;
     83    // constants for API compatibility only
     84    public const byte Add = (byte)OpCode.Add;
     85    public const byte Sub =(byte)OpCode.Sub;
     86    public const byte Mul =(byte)OpCode.Mul;
     87    public const byte Div =(byte)OpCode.Div;
     88    public const byte Sin =(byte)OpCode.Sin;
     89    public const byte Cos =(byte)OpCode.Cos;
     90    public const byte Tan =(byte)OpCode.Tan;
     91    public const byte Log =(byte)OpCode.Log;
     92    public const byte Exp = (byte)OpCode.Exp;
     93    public const byte IfThenElse = (byte)OpCode.IfThenElse;
     94    public const byte GT = (byte)OpCode.GT;
     95    public const byte LT = (byte)OpCode.LT;
     96    public const byte AND = (byte)OpCode.AND;
     97    public const byte OR = (byte)OpCode.OR;
     98    public const byte NOT = (byte)OpCode.NOT;
     99    public const byte Average = (byte)OpCode.Average;
     100    public const byte Call = (byte)OpCode.Call;
     101    public const byte Variable = (byte)OpCode.Variable;
     102    public const byte LagVariable = (byte)OpCode.LagVariable;
     103    public const byte Constant = (byte)OpCode.Constant;
     104    public const byte Arg = (byte)OpCode.Arg;
     105    public const byte Power = (byte)OpCode.Power;
     106    public const byte Root = (byte)OpCode.Root;
     107    public const byte TimeLag = (byte)OpCode.TimeLag;
     108    public const byte Integral = (byte)OpCode.Integral;
     109    public const byte Derivative = (byte)OpCode.Derivative;
     110    public const byte VariableCondition = (byte)OpCode.VariableCondition;
     111    public const byte Square = (byte)OpCode.Square;
     112    public const byte SquareRoot = (byte)OpCode.SquareRoot;
     113    public const byte Gamma = (byte)OpCode.Gamma;
     114    public const byte Psi = (byte)OpCode.Psi;
     115    public const byte Dawson = (byte)OpCode.Dawson;
     116    public const byte ExponentialIntegralEi = (byte)OpCode.ExponentialIntegralEi;
     117    public const byte CosineIntegral = (byte)OpCode.CosineIntegral;
     118    public const byte SineIntegral = (byte)OpCode.SineIntegral;
     119    public const byte HyperbolicCosineIntegral = (byte)OpCode.HyperbolicCosineIntegral;
     120    public const byte HyperbolicSineIntegral = (byte)OpCode.HyperbolicSineIntegral;
     121    public const byte FresnelCosineIntegral = (byte)OpCode.FresnelCosineIntegral;
     122    public const byte FresnelSineIntegral = (byte)OpCode.FresnelSineIntegral;
     123    public const byte AiryA = (byte)OpCode.AiryA;
     124    public const byte AiryB = (byte)OpCode.AiryB;
     125    public const byte Norm = (byte)OpCode.Norm;
     126    public const byte Erf = (byte)OpCode.Erf;
     127    public const byte Bessel = (byte)OpCode.Bessel;
     128    public const byte XOR = (byte)OpCode.XOR;
     129    public const byte FactorVariable = (byte)OpCode.FactorVariable;
     130    public const byte BinaryFactorVariable = (byte)OpCode.BinaryFactorVariable;
     131    public const byte Absolute = (byte)OpCode.Absolute;
     132    public const byte AnalyticQuotient = (byte)OpCode.AnalyticQuotient;
     133    public const byte Cube = (byte)OpCode.Cube;
     134    public const byte CubeRoot = (byte)OpCode.CubeRoot;
     135    public const byte Tanh = (byte)OpCode.Tanh;
    93136
    94137
    … …  
    150193
    151194    public static byte MapSymbolToOpCode(ISymbolicExpressionTreeNode treeNode) {
    152       byte opCode;
    153       if (symbolToOpcode.TryGetValue(treeNode.Symbol.GetType(), out opCode)) return opCode;
     195      if (symbolToOpcode.TryGetValue(treeNode.Symbol.GetType(), out byte opCode)) return opCode;
    154196      else throw new NotSupportedException("Symbol: " + treeNode.Symbol);
    155197    }

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionCompiledTreeInterpreter.cs

    r16662 r16892  
    4545    private static readonly MethodInfo Cos = typeof(Math).GetMethod("Cos", new[] { typeof(double) });
    4646    private static readonly MethodInfo Tan = typeof(Math).GetMethod("Tan", new[] { typeof(double) });
     47    private static readonly MethodInfo Tanh = typeof(Math).GetMethod("Tanh", new[] { typeof(double) });
    4748    private static readonly MethodInfo Sqrt = typeof(Math).GetMethod("Sqrt", new[] { typeof(double) });
    4849    private static readonly MethodInfo Floor = typeof(Math).GetMethod("Floor", new[] { typeof(double) });
    … …  
    223224            return Expression.Call(Tan, arg);
    224225          }
     226        case OpCodes.Tanh: {
     227            var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);
     228            return Expression.Call(Tanh, arg);
     229          }
    225230        case OpCodes.Square: {
    226231            var arg = MakeExpr(node.GetSubtree(0), variableIndices, row, columns);

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionTreeBatchInterpreter.cs

    r16662 r16892  
    6363              break;
    6464            }
    65 
     65          case OpCodes.Constant: break; // nothing to do here, don't remove because we want to prevent falling into the default case here.
    6666          case OpCodes.Add: {
    6767              Load(instr.buf, code[c].buf);
    … …  
    173173              break;
    174174            }
     175          default: throw new NotSupportedException($"This interpreter does not support {(OpCode)instr.opcode}");
    175176        }
    176177      }

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionTreeILEmittingInterpreter.cs

    r16662 r16892  
    4545    private static MethodInfo sin = typeof(Math).GetMethod("Sin", new Type[] { typeof(double) });
    4646    private static MethodInfo tan = typeof(Math).GetMethod("Tan", new Type[] { typeof(double) });
     47    private static MethodInfo tanh = typeof(Math).GetMethod("Tanh", new Type[] { typeof(double) });
    4748    private static MethodInfo exp = typeof(Math).GetMethod("Exp", new Type[] { typeof(double) });
    4849    private static MethodInfo log = typeof(Math).GetMethod("Log", new Type[] { typeof(double) });
    … …  
    283284            CompileInstructions(il, state, ds);
    284285            il.Emit(System.Reflection.Emit.OpCodes.Call, tan);
     286            return;
     287          }
     288        case OpCodes.Tanh: {
     289            CompileInstructions(il, state, ds);
     290            il.Emit(System.Reflection.Emit.OpCodes.Call, tanh);
    285291            return;
    286292          }

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionTreeNativeInterpreter.cs

    r16662 r16892  
    101101    private IDataset dataset;
    102102
     103    private static readonly HashSet<byte> supportedOpCodes = new HashSet<byte>() {
     104      (byte)OpCode.Constant,
     105      (byte)OpCode.Variable,
     106      (byte)OpCode.Add,
     107      (byte)OpCode.Sub,
     108      (byte)OpCode.Mul,
     109      (byte)OpCode.Div,
     110      (byte)OpCode.Exp,
     111      (byte)OpCode.Log,
     112      (byte)OpCode.Sin,
     113      (byte)OpCode.Cos,
     114      (byte)OpCode.Tan,
     115      (byte)OpCode.Tanh,
     116      (byte)OpCode.Power,
     117      (byte)OpCode.Root,
     118      (byte)OpCode.SquareRoot,
     119      (byte)OpCode.Square,
     120      (byte)OpCode.CubeRoot,
     121      (byte)OpCode.Cube,
     122      (byte)OpCode.Absolute,
     123      (byte)OpCode.AnalyticQuotient
     124    };
     125
    103126    public IEnumerable<double> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows) {
    104127      if (!rows.Any()) return Enumerable.Empty<double>();
    … …  
    108131      }
    109132
    110       var code = Compile(tree, OpCodes.MapSymbolToOpCode);
     133      byte mapSupportedSymbols(ISymbolicExpressionTreeNode node) {       
     134        var opCode = OpCodes.MapSymbolToOpCode(node);
     135        if (supportedOpCodes.Contains(opCode)) return opCode;
     136        else throw new NotSupportedException($"The native interpreter does not support {node.Symbol.Name}");
     137      };
     138      var code = Compile(tree, mapSupportedSymbols);
    111139
    112140      var rowsArray = rows.ToArray();

  • branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Selectors/DiversitySelector.cs

    r16623 r16892  
    100100    #region Events
    101101    private void RegisterParameterEventHandlers() {
    102       SelectorParameter.ValueChanged += new EventHandler(SelectorParameter_ValueChanged);
    103       CopySelected.ValueChanged += new EventHandler(CopySelected_ValueChanged);
     102      SelectorParameter.ValueChanged += SelectorParameter_ValueChanged;
     103      CopySelectedParameter.ValueChanged += CopySelectedParameter_ValueChanged;
     104      CopySelected.ValueChanged += CopySelected_ValueChanged;
     105    }
     106
     107    private void CopySelectedParameter_ValueChanged(object sender, EventArgs e) {
     108      if (CopySelected.Value != true) {
     109        CopySelected.Value = true;
     110      }
     111      CopySelected.ValueChanged += CopySelected_ValueChanged;
    104112    }
    105113
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