#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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.Diagnostics; using HeuristicLab.Common; // double.IsAlmost extension namespace HeuristicLab.GP.StructureIdentification { /// /// Evaluates FunctionTrees recursively by interpretation of the function symbols in each node. /// Not thread-safe! /// public class HL3TreeEvaluator : TreeEvaluatorBase { public HL3TreeEvaluator() : base() { } // for persistence public HL3TreeEvaluator(double minValue, double maxValue) : base(minValue, maxValue) { } [Obsolete] protected override double EvaluateBakedCode() { Instr currInstr = codeArr[PC++]; switch (currInstr.symbol) { case EvaluatorSymbolTable.VARIABLE: { int row = sampleIndex + currInstr.i_arg1; if (row < 0 || row >= dataset.Rows) throw new ArgumentException("Out of range access to dataset row: " + row); else return currInstr.d_arg0 * dataset.GetValue(row, currInstr.i_arg0); } case EvaluatorSymbolTable.CONSTANT: { return currInstr.d_arg0; } case EvaluatorSymbolTable.DIFFERENTIAL: { int row = sampleIndex + currInstr.i_arg1; if (row < 0 || row >= dataset.Rows) throw new ArgumentException("Out of range access to dataset row: " + row); else if (row < 1) return 0.0; else { double prevValue = dataset.GetValue(row - 1, currInstr.i_arg0); if (double.IsNaN(prevValue) || double.IsInfinity(prevValue)) return 0.0; else return currInstr.d_arg0 * (dataset.GetValue(row, currInstr.i_arg0) - prevValue); } } case EvaluatorSymbolTable.MULTIPLICATION: { double result = EvaluateBakedCode(); for (int i = 1; i < currInstr.arity; i++) { result *= EvaluateBakedCode(); } return result; } case EvaluatorSymbolTable.ADDITION: { double sum = EvaluateBakedCode(); for (int i = 1; i < currInstr.arity; i++) { sum += EvaluateBakedCode(); } return sum; } case EvaluatorSymbolTable.SUBTRACTION: { double result = EvaluateBakedCode(); if (currInstr.arity == 1) return -result; for (int i = 1; i < currInstr.arity; i++) { result -= EvaluateBakedCode(); } return result; } case EvaluatorSymbolTable.DIVISION: { double result; result = EvaluateBakedCode(); if (currInstr.arity == 1) { return result.IsAlmost(0.0) ? 0.0 : 1.0 / result; } for (int i = 1; i < currInstr.arity; i++) { double tmp = EvaluateBakedCode(); result = tmp.IsAlmost(0.0) ? 0.0 : result /= tmp; } return result; } case EvaluatorSymbolTable.AVERAGE: { double sum = EvaluateBakedCode(); for (int i = 1; i < currInstr.arity; i++) { sum += EvaluateBakedCode(); } return sum / currInstr.arity; } case EvaluatorSymbolTable.COSINUS: { return Math.Cos(EvaluateBakedCode()); } case EvaluatorSymbolTable.SINUS: { return Math.Sin(EvaluateBakedCode()); } case EvaluatorSymbolTable.EXP: { return Math.Exp(EvaluateBakedCode()); } case EvaluatorSymbolTable.LOG: { return Math.Log(EvaluateBakedCode()); } case EvaluatorSymbolTable.POWER: { double x = EvaluateBakedCode(); double p = EvaluateBakedCode(); return Math.Pow(x, p); } case EvaluatorSymbolTable.SIGNUM: { double value = EvaluateBakedCode(); if (double.IsNaN(value)) return double.NaN; else return Math.Sign(value); } case EvaluatorSymbolTable.SQRT: { return Math.Sqrt(EvaluateBakedCode()); } case EvaluatorSymbolTable.TANGENS: { return Math.Tan(EvaluateBakedCode()); } case EvaluatorSymbolTable.AND: { double result = EvaluateBakedCode(); for (int i = 1; i < currInstr.arity; i++) { if (result <= 0.0) SkipBakedCode(); else { result = EvaluateBakedCode(); } } return result <= 0.0 ? -1.0 : 1.0; } case EvaluatorSymbolTable.EQU: { double x = EvaluateBakedCode(); double y = EvaluateBakedCode(); if (x.IsAlmost(y)) return 1.0; else return -1.0; } case EvaluatorSymbolTable.GT: { double x = EvaluateBakedCode(); double y = EvaluateBakedCode(); if (x > y) return 1.0; else return -1.0; } case EvaluatorSymbolTable.IFTE: { double condition = EvaluateBakedCode(); double result; if (condition > 0.0) { result = EvaluateBakedCode(); SkipBakedCode(); } else { SkipBakedCode(); result = EvaluateBakedCode(); } return result; } case EvaluatorSymbolTable.LT: { double x = EvaluateBakedCode(); double y = EvaluateBakedCode(); if (x < y) return 1.0; else return -1.0; } case EvaluatorSymbolTable.NOT: { return -EvaluateBakedCode(); } case EvaluatorSymbolTable.OR: { double result = EvaluateBakedCode(); for (int i = 1; i < currInstr.arity; i++) { if (result > 0.0) SkipBakedCode(); else { result = EvaluateBakedCode(); } } return result > 0.0 ? 1.0 : -1.0; } case EvaluatorSymbolTable.XOR: { double x = EvaluateBakedCode(); double y = EvaluateBakedCode(); if (x > y) { double tmp = x; x = y; y = tmp; } // invariant y >= x if (y <= 0.0 || x > 0.0) return -1.0; else return 1.0; } default: { throw new NotImplementedException(); } } } } }