#region License Information /* HeuristicLab * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Diagnostics; using System.Linq; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { public class SymbolicExpressionImporter { private const string VARSTART = "VAR"; private const string LAGGEDVARSTART = "LAGVARIABLE"; private const string INTEGRALSTART = "INTEG"; private const string DEFUNSTART = "DEFUN"; private const string ARGSTART = "ARG"; private const string INVOKESTART = "CALL"; private const string TIMELAGSTART = "LAG"; private Dictionary knownSymbols = new Dictionary() { {"+", new Addition()}, {"/", new Division()}, {"*", new Multiplication()}, {"-", new Subtraction()}, {"ABS", new Absolute() }, {"EXP", new Exponential()}, {"LOG", new Logarithm()}, {"POW", new Power()}, {"ROOT", new Root()}, {"SQR", new Square()}, {"SQRT", new SquareRoot()}, {"CUBE", new Cube()}, {"CUBEROOT", new CubeRoot()}, {"SIN",new Sine()}, {"COS", new Cosine()}, {"TAN", new Tangent()}, {"AIRYA", new AiryA()}, {"AIRYB", new AiryB()}, {"BESSEL", new Bessel()}, {"COSINT", new CosineIntegral()}, {"SININT", new SineIntegral()}, {"HYPCOSINT", new HyperbolicCosineIntegral()}, {"HYPSININT", new HyperbolicSineIntegral()}, {"FRESNELSININT", new FresnelSineIntegral()}, {"FRESNELCOSINT", new FresnelCosineIntegral()}, {"NORM", new Norm()}, {"ERF", new Erf()}, {"GAMMA", new Gamma()}, {"PSI", new Psi()}, {"DAWSON", new Dawson()}, {"EXPINT", new ExponentialIntegralEi()}, {"AQ", new AnalyticQuotient() }, {"MEAN", new Average()}, {"IF", new IfThenElse()}, {">", new GreaterThan()}, {"<", new LessThan()}, {"AND", new And()}, {"OR", new Or()}, {"NOT", new Not()}, {"XOR", new Xor()}, {"DIFF", new Derivative()}, {"PROG", new ProgramRootSymbol()}, {"MAIN", new StartSymbol()}, {"FACTOR", new FactorVariable() }, {"BINFACTOR", new BinaryFactorVariable()} }; Constant constant = new Constant(); Variable variable = new Variable(); LaggedVariable laggedVariable = new LaggedVariable(); Defun defun = new Defun(); TimeLag timeLag = new TimeLag(); Integral integral = new Integral(); FactorVariable factorVar = new FactorVariable(); BinaryFactorVariable binFactorVar = new BinaryFactorVariable(); ProgramRootSymbol programRootSymbol = new ProgramRootSymbol(); StartSymbol startSymbol = new StartSymbol(); public ISymbolicExpressionTree Import(string str) { str = str.Replace("(", " ( ").Replace(")", " ) "); ISymbolicExpressionTreeNode root = programRootSymbol.CreateTreeNode(); ISymbolicExpressionTreeNode start = startSymbol.CreateTreeNode(); ISymbolicExpressionTreeNode mainBranch = ParseSexp(new Queue(GetTokenStream(str))); if (mainBranch.Symbol is ProgramRootSymbol) { // when a root symbol was parsed => use main branch as root root = mainBranch; } else { // only a main branch was given => insert the main branch into the default tree template root.AddSubtree(start); start.AddSubtree(mainBranch); } return new SymbolicExpressionTree(root); } private IEnumerable GetTokenStream(string str) { return from strToken in str.Split(new string[] { " " }, StringSplitOptions.RemoveEmptyEntries).AsEnumerable() let t = Token.Parse(strToken) where t != null select t; } private ISymbolicExpressionTreeNode ParseSexp(Queue tokens) { if (tokens.Peek().Symbol == TokenSymbol.LPAR) { ISymbolicExpressionTreeNode tree; Expect(Token.LPAR, tokens); if (tokens.Peek().StringValue.StartsWith(VARSTART)) { tree = ParseVariable(tokens); } else if (tokens.Peek().StringValue.StartsWith(LAGGEDVARSTART)) { tree = ParseLaggedVariable(tokens); } else if (tokens.Peek().StringValue.StartsWith(TIMELAGSTART)) { tree = ParseTimeLag(tokens); tree.AddSubtree(ParseSexp(tokens)); } else if (tokens.Peek().StringValue.StartsWith(INTEGRALSTART)) { tree = ParseIntegral(tokens); tree.AddSubtree(ParseSexp(tokens)); } else if (tokens.Peek().StringValue.StartsWith(DEFUNSTART)) { tree = ParseDefun(tokens); while (!tokens.Peek().Equals(Token.RPAR)) { tree.AddSubtree(ParseSexp(tokens)); } } else if (tokens.Peek().StringValue.StartsWith(ARGSTART)) { tree = ParseArgument(tokens); } else if (tokens.Peek().StringValue.StartsWith(INVOKESTART)) { tree = ParseInvoke(tokens); while (!tokens.Peek().Equals(Token.RPAR)) { tree.AddSubtree(ParseSexp(tokens)); } } else if (tokens.Peek().StringValue.StartsWith("FACTOR")) { tree = ParseFactor(tokens); } else if (tokens.Peek().StringValue.StartsWith("BINFACTOR")) { tree = ParseBinaryFactor(tokens); } else { Token curToken = tokens.Dequeue(); tree = CreateTree(curToken); while (!tokens.Peek().Equals(Token.RPAR)) { tree.AddSubtree(ParseSexp(tokens)); } } Expect(Token.RPAR, tokens); return tree; } else if (tokens.Peek().Symbol == TokenSymbol.NUMBER) { ConstantTreeNode t = (ConstantTreeNode)constant.CreateTreeNode(); t.Value = tokens.Dequeue().DoubleValue; return t; } else throw new FormatException("Expected function or constant symbol"); } private ISymbolicExpressionTreeNode ParseInvoke(Queue tokens) { Token invokeTok = tokens.Dequeue(); Debug.Assert(invokeTok.StringValue == "CALL"); InvokeFunction invokeSym = new InvokeFunction(tokens.Dequeue().StringValue); ISymbolicExpressionTreeNode invokeNode = invokeSym.CreateTreeNode(); return invokeNode; } private ISymbolicExpressionTreeNode ParseArgument(Queue tokens) { Token argTok = tokens.Dequeue(); Debug.Assert(argTok.StringValue == "ARG"); Argument argument = new Argument((int)tokens.Dequeue().DoubleValue); ISymbolicExpressionTreeNode argNode = argument.CreateTreeNode(); return argNode; } private ISymbolicExpressionTreeNode ParseDefun(Queue tokens) { Token defTok = tokens.Dequeue(); Debug.Assert(defTok.StringValue == "DEFUN"); DefunTreeNode t = (DefunTreeNode)defun.CreateTreeNode(); t.FunctionName = tokens.Dequeue().StringValue; return t; } private ISymbolicExpressionTreeNode ParseTimeLag(Queue tokens) { Token varTok = tokens.Dequeue(); Debug.Assert(varTok.StringValue == "LAG"); LaggedTreeNode t = (LaggedTreeNode)timeLag.CreateTreeNode(); t.Lag = (int)tokens.Dequeue().DoubleValue; return t; } private ISymbolicExpressionTreeNode ParseIntegral(Queue tokens) { Token varTok = tokens.Dequeue(); Debug.Assert(varTok.StringValue == "INTEGRAL"); LaggedTreeNode t = (LaggedTreeNode)integral.CreateTreeNode(); t.Lag = (int)tokens.Dequeue().DoubleValue; return t; } private ISymbolicExpressionTreeNode ParseVariable(Queue tokens) { Token varTok = tokens.Dequeue(); Debug.Assert(varTok.StringValue == "VARIABLE"); VariableTreeNode t = (VariableTreeNode)variable.CreateTreeNode(); t.Weight = tokens.Dequeue().DoubleValue; t.VariableName = tokens.Dequeue().StringValue; return t; } private ISymbolicExpressionTreeNode ParseFactor(Queue tokens) { Token tok = tokens.Dequeue(); Debug.Assert(tok.StringValue == "FACTOR"); FactorVariableTreeNode t = (FactorVariableTreeNode)(new FactorVariable()).CreateTreeNode(); // create a new symbol each time on purpose var varNameTok = tokens.Dequeue(); Debug.Assert(tok.Symbol == TokenSymbol.SYMB); t.VariableName = varNameTok.StringValue; var weights = new List(); while (tokens.Peek().Symbol == TokenSymbol.NUMBER) { weights.Add(tokens.Dequeue().DoubleValue); } t.Weights = weights.ToArray(); // create a set of (virtual) values to match the number of weights t.Symbol.VariableNames = new string[] { t.VariableName }; t.Symbol.VariableValues = new[] { new KeyValuePair>( t.VariableName, weights.Select((_, i) => Tuple.Create(_,i)).ToDictionary(tup=>"X" + tup.Item2, tup=>tup.Item2)) }; return t; } private ISymbolicExpressionTreeNode ParseBinaryFactor(Queue tokens) { Token tok = tokens.Dequeue(); Debug.Assert(tok.StringValue == "BINFACTOR"); var t = (BinaryFactorVariableTreeNode)binFactorVar.CreateTreeNode(); var varNameTok = tokens.Dequeue(); Debug.Assert(varNameTok.Symbol == TokenSymbol.SYMB); t.VariableName = varNameTok.StringValue; var varValTok = tokens.Dequeue(); Debug.Assert(varValTok.Symbol == TokenSymbol.SYMB); t.VariableValue = varValTok.StringValue; var weightTok = tokens.Dequeue(); Debug.Assert(weightTok.Symbol == TokenSymbol.NUMBER); t.Weight = weightTok.DoubleValue; return t; } private ISymbolicExpressionTreeNode ParseLaggedVariable(Queue tokens) { Token varTok = tokens.Dequeue(); Debug.Assert(varTok.StringValue == "LAGVARIABLE"); LaggedVariableTreeNode t = (LaggedVariableTreeNode)laggedVariable.CreateTreeNode(); t.Weight = tokens.Dequeue().DoubleValue; t.VariableName = tokens.Dequeue().StringValue; t.Lag = (int)tokens.Dequeue().DoubleValue; return t; } private ISymbolicExpressionTreeNode CreateTree(Token token) { if (token.Symbol != TokenSymbol.SYMB) throw new FormatException("Expected function symbol, but got: " + token.StringValue); return knownSymbols[token.StringValue].CreateTreeNode(); } private void Expect(Token token, Queue tokens) { Token cur = tokens.Dequeue(); if (!token.Equals(cur)) throw new FormatException("Expected: " + token.StringValue + ", but got: " + cur.StringValue); } } }