#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.Collections.Generic; using System.Linq; using HeuristicLab.Collections; using HeuristicLab.Common; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding { [StorableClass] public sealed class GroupSymbol : Symbol { private const int minimumArity = 0; private const int maximumArity = 0; public override int MinimumArity { get { return minimumArity; } } public override int MaximumArity { get { return maximumArity; } } private ObservableSet symbols; public IObservableSet SymbolsCollection { get { return symbols; } } [Storable] public IEnumerable Symbols { get { return symbols; } private set { symbols = new ObservableSet(value); } } [StorableConstructor] private GroupSymbol(bool deserializing) : base(deserializing) { } private GroupSymbol(GroupSymbol original, Cloner cloner) : base(original, cloner) { symbols = new ObservableSet(original.Symbols.Select(s => cloner.Clone(s))); } public override IDeepCloneable Clone(Cloner cloner) { return new GroupSymbol(this, cloner); } public GroupSymbol() : this("Group Symbol", Enumerable.Empty()) { } public GroupSymbol(string name, IEnumerable symbols) : base(name, "A symbol which groups other symbols") { this.symbols = new ObservableSet(symbols); InitialFrequency = 0.0; } public override IEnumerable Flatten() { return base.Flatten().Union(symbols.SelectMany(s => s.Flatten())); } } }