source: branches/LearningClassifierSystems/HeuristicLab.Encodings.DecisionList/3.3/Variable/Variable.cs @ 10377

#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.Text;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization.Operators.LCS;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.DecisionList {
  [StorableClass]
  [Item("Variable", "")]
  public abstract class Variable<T> : Item, IVariable {
    [Storable]
    protected IList<bool> attributes;
    public IEnumerable<bool> Attributes {
      get { return attributes; }
    }

    public double Length {
      get { return attributes.Count; }
    }

    [Storable]
    protected string variableName;
    public string VariableName {
      get { return variableName; }
    }

    public Type VariableType { get { return typeof(T); } }

    [StorableConstructor]
    protected Variable(bool deserializing) : base(deserializing) { }
    protected Variable(Variable<T> original, Cloner cloner)
      : base(original, cloner) {
      variableName = original.variableName;
      attributes = new List<bool>(original.attributes);
    }
    public Variable()
      : base() {
      attributes = new List<bool>();
    }
    public Variable(string variableName)
      : base() {
      this.variableName = variableName;
      attributes = new List<bool>();
    }

    public virtual void Randomize(IRandom random, double onePercentage, IEnumerable<IDiscretizer> descretizers) {
      for (int i = 0; i < attributes.Count; i++) {
        attributes[i] = random.NextDouble() < onePercentage;
      }
    }

    public abstract double ComputeTheoryLength();
    public abstract bool Match(string input);

    public abstract void SetToMatch(string variableValue);

    public virtual string ToFullString() { throw new NotImplementedException(); }

    public override string ToString() {
      StringBuilder sb = new StringBuilder();
      sb.Append(variableName + ": ");
      foreach (var attr in attributes) {
        if (attr) {
          sb.Append('1');
        } else {
          sb.Append('0');
        }
      }
      return sb.ToString();
    }

    public void Mutate(IRandom random) {
      int pos = random.Next(0, attributes.Count);
      attributes[pos] = !attributes[pos];
    }

    public virtual void Merge(IRandom Random) { return; }
    public virtual void Reinitialize(IRandom Random, double onePercentage, IEnumerable<IDiscretizer> descretizers) { return; }
    public virtual void Split(IRandom Random) { return; }
  }
}