#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 . */ #endregion using System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Optimization.Operators.LCS; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.DecisionList { [StorableClass] [Item("IntAction", "")] public class IntAction : Item, IAction { public static IEqualityComparer Comparer { get { return new GAssistNicheComparer(); } } IEqualityComparer IGAssistNiche.Comparer { get { return Comparer; } } [Storable] protected string variableName; public string VariableName { get { return variableName; } } [Storable] protected IList possibleFeatures; public IEnumerable PossibleFeatures { get { return possibleFeatures; } } [Storable] protected int currentAction; public int CurrentAction { get { return currentAction; } } public int CurrentPosition { get { return CurrentAction; } } public int Possibilities { get { return possibleFeatures.Count(); } } [StorableConstructor] protected IntAction(bool deserializing) : base(deserializing) { } protected IntAction(IntAction original, Cloner cloner) : base(original, cloner) { variableName = original.variableName; possibleFeatures = new List(original.possibleFeatures); currentAction = original.currentAction; } public IntAction(string variableName, IList variableValues) : base() { 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."); } this.possibleFeatures = variableValues; this.variableName = variableName; } public override IDeepCloneable Clone(Cloner cloner) { return new IntAction(this, cloner); } public IEnumerable GetPossibleActionPositions() { return possibleFeatures; } public IEnumerable GetPossibleActions() { return PossibleFeatures; } public void Randomize(IRandom random) { currentAction = possibleFeatures.ElementAt(random.Next(0, possibleFeatures.Count())); } public void Randomize(IRandom random, IEnumerable except) { if (except.Count() == 0) { Randomize(random); return; } try { var exceptInt = except.Cast().Select(x => x.currentAction); var newPossibleFeatures = possibleFeatures.Except(exceptInt); currentAction = newPossibleFeatures.ElementAt(random.Next(0, newPossibleFeatures.Count())); } catch (InvalidCastException) { throw new InvalidCastException("Actions have to be of type IntAction"); } } public bool Match(IAction action) { var targetCast = action as IntAction; return targetCast != null && this.variableName.Equals(targetCast.VariableName) && CurrentAction.Equals(targetCast.CurrentAction); } public void SetTo(string value) { SetToPosition(int.Parse(value)); } public void SetTo(IGAssistNiche action) { var castAction = action as IntAction; if (castAction == null) throw new ArgumentException("action has to be IntAction"); SetToPosition(castAction.CurrentAction); } public void SetToPosition(int value) { if (!possibleFeatures.Contains(value)) { throw new ArgumentOutOfRangeException(); } currentAction = value; } public override string ToString() { return variableName + ": " + currentAction.ToString(); } public bool SameNiche(IGAssistNiche niche) { return Match(niche as IAction); } public int GetNicheHashCode() { int result = 1; result = 37 * result + currentAction; result = 37 * result + variableName.GetHashCode(); foreach (var feature in possibleFeatures) { result = 37 * result + feature; } return result; } } }