source: branches/LearningClassifierSystems/HeuristicLab.Encodings.VariableVector/3.3/Variable/IntVariable.cs @ 9226

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.VariableVector {
  [StorableClass]
  [Item(Name = "IntVariable", Description = "")]
  public class IntVariable : Variable<int>, IActionVariable {

    public override int VirtualLength {
      get { return 1; }
    }

    [Storable]
    public bool Wildcard { get; set; }

    [Storable]
    protected IEnumerable<int> possibleFeatures;
    public IEnumerable<int> PossibleFeatures {
      get { return possibleFeatures; }
    }

    [Storable]
    protected int currentValue;
    public int CurrentValue {
      get { return currentValue; }
      set {
        if (!possibleFeatures.Contains(value)) {
          throw new ArgumentException("Value is not a possible feature of this variable.");
        }
        currentValue = value;
      }
    }

    [StorableConstructor]
    protected IntVariable(bool deserializing) : base(deserializing) { }
    protected IntVariable(IntVariable original, Cloner cloner)
      : base(original, cloner) {
      this.possibleFeatures = new List<int>(original.possibleFeatures);
      this.Wildcard = original.Wildcard;
      this.currentValue = original.currentValue;
    }
    public IntVariable()
      : base() {
      Wildcard = false;
    }
    public IntVariable(string variableName, IEnumerable<int> variableValues)
      : base(variableName) {
      if (variableValues.Count() > 0 && variableValues.Count() != variableValues.Distinct().Count()) {
        throw new ArgumentException("variableValues have to be distinct and there has to be at least one value.");
      }
      possibleFeatures = variableValues;
      Wildcard = false;
      currentValue = possibleFeatures.First();
    }
    public IntVariable(string variableName, IEnumerable<int> variableValues, int currentValue)
      : this(variableName, variableValues) {
      CurrentValue = currentValue;
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new IntVariable(this, cloner);
    }

    public override string ToString() {
      return Wildcard ? "#" : currentValue.ToString();
    }

    public override bool MatchInput(string target) {
      return Match(int.Parse(target));
    }

    public override bool Match(int target) {
      return Wildcard || CurrentValue == target;
    }

    public override bool MatchVariable(IVariable target) {
      var targetCast = target as IntVariable;
      return targetCast != null && this.variableName.Equals(targetCast.VariableName) && Match(targetCast.CurrentValue);
    }

    public override IVariable GetEmptyCopy() {
      return new IntVariable(variableName, possibleFeatures);
    }

    public override IVariable GetSetCopy() {
      IntVariable copy = (IntVariable)GetEmptyCopy();
      copy.Wildcard = this.Wildcard;
      copy.CurrentValue = this.CurrentValue;
      return copy;
    }

    IActionVariable IActionVariable.GetEmptyCopy() {
      return (IntVariable)GetEmptyCopy();
    }
    IActionVariable IActionVariable.GetSetCopy() {
      return (IntVariable)GetSetCopy();
    }

    public override void Randomize(IRandom random) {
      int index = random.Next(possibleFeatures.Count());
      currentValue = possibleFeatures.ElementAt(index);
    }

    public override bool Identical(IVariable target) {
      var targetCast = target as IntVariable;
      if (targetCast == null) { return false; }
      if (variableName != targetCast.variableName || Wildcard != targetCast.Wildcard
        || currentValue != targetCast.currentValue) { return false; }

      if (possibleFeatures.Except(targetCast.possibleFeatures).Count() != 0
        || targetCast.possibleFeatures.Except(possibleFeatures).Count() != 0) { return false; }

      return true;
    }

    public override double GetGenerality() {
      return Wildcard ? 1 : 0;
    }

    public override bool IsGreaterThanOrEquallyGeneral(IVariable target) {
      var targetCast = target as IntVariable;
      if (targetCast == null) { return false; }
      return Wildcard || currentValue == targetCast.currentValue;
    }

    public new IntVariable CrossParentsAtPosition(IVariable parent2, int pos) {
      var parent2Cast = parent2 as IntVariable;
      if (parent2Cast == null) { throw new ArgumentException("Argument is not of the correct type."); }
      if (pos != 0) { throw new ArgumentOutOfRangeException(); }
      return (IntVariable)this.GetSetCopy();
    }

    public override void Manipulate(IRandom random, string stringValue, int pos) {
      if (pos != 0) { throw new ArgumentOutOfRangeException(); }
      Wildcard = !Wildcard;
      if (!Wildcard) {
        currentValue = int.Parse(stringValue);
      }
    }

    public override void Cover(IRandom random, string stringValue, double changeSymbolProbability) {
      Wildcard = random.NextDouble() < changeSymbolProbability;
      if (!Wildcard) {
        currentValue = int.Parse(stringValue);
      }
    }

    public override int GetHashCode() {
      int result = 1;
      int wildcardInt = Wildcard ? 1 : 0;
      result = 37 * result + wildcardInt;
      result = 37 * result + currentValue;
      foreach (var feature in possibleFeatures) {
        result = 37 * result + feature;
      }
      return result;
    }

    #region IActionVariable Members
    public void SetTo(string value) {
      currentValue = int.Parse(value);
    }

    public IEnumerable<string> GetAllPossibleActions() {
      return possibleFeatures.Select(x => x.ToString());
    }
    #endregion
  }
}