#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();
}
}
}
}
}