source: branches/SimSharp/HeuristicLab.Problems.Programmable/3.3/Datastructures/Configuration.cs @ 10850

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2014 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.Programmable {
  [Item("Configuration", "")]
  [StorableClass]
  public class Configuration : Item {
    [Storable]
    public Dictionary<string, ParameterConfiguration> Parameters { get; protected set; }

    [Storable]
    public bool Maximization { get; protected set; }

    [StorableConstructor]
    protected Configuration(bool deserializing) : base(deserializing) { }
    protected Configuration(Configuration original, Cloner cloner)
      : base(original, cloner) {
      if (original.Parameters != null) {
        Parameters = new Dictionary<string, ParameterConfiguration>();
        foreach (var kvp in original.Parameters) {
          Parameters.Add(kvp.Key, cloner.Clone(kvp.Value));
        }
      }
      Maximization = original.Maximization;
    }
    public Configuration() {
      Parameters = new Dictionary<string, ParameterConfiguration>();
    }

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


    public Configuration AddBoolean(string name, int length) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new BinaryParameterConfiguration(length));
      return this;
    }

    public Configuration AddInteger(string name, int length, int min, int max, int? step = null) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new IntegerParameterConfiguration(length, min, max, step));
      return this;
    }

    public Configuration AddInteger(string name, int length, IList<int> min, IList<int> max, IList<int> step = null) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new IntegerParameterConfiguration(length, min, max, step));
      return this;
    }

    public Configuration AddReal(string name, int length, double min, double max) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new RealParameterConfiguration(length, min, max));
      return this;
    }

    public Configuration AddReal(string name, int length, IList<double> min, IList<double> max) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new RealParameterConfiguration(length, min, max));
      return this;
    }

    public Configuration AddPermutation(string name, PermutationTypes type, int length) {
      if (Parameters.ContainsKey(name)) throw new ArgumentException("name must be unique", "name");
      Parameters.Add(name, new PermutationParameterConfiguration(length, type));
      return this;
    }

    public Configuration SetMaximization(bool maximization) {
      Maximization = maximization;
      return this;
    }
  }
}