#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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.Problems.GPDL.Views.Properties;
using HeuristicLab.Problems.Instances;

namespace HeuristicLab.Problems.GPDL.Views {
  public class GpdlExampleProvider : ProblemInstanceProvider<string> {
    public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
      return new IDataDescriptor[]
        {
          new GpdlExampleDataDescriptor("Artificial Ant", "The artificial ant problem.", Resources.Artificial_Ant),
          new GpdlExampleDataDescriptor("Factorial", "Evolve a program to calculate the factorial function.", Resources.Factorial),
          new GpdlExampleDataDescriptor("Fibonacci", "Evolve a problem to calculate the fibonacci function.", Resources.Fib),
          new GpdlExampleDataDescriptor("Multi-output multiplier", "Evolve a multi-output multiplier.", Resources.multi_output_multiplier),
          new GpdlExampleDataDescriptor("Even parity", "The even parity (4) benchmark problem.", Resources.EvenParity), 
          new GpdlExampleDataDescriptor("Multiplexer (11)", "The Mux-11 multiplexer benchmark problem.", Resources.Multiplexer), 
          new GpdlExampleDataDescriptor("Symbolic Regression (HEAL-style)", "A symbolic regression problem for genetic programming, using weights for variables.", Resources.symbreg_HEAL),
          new GpdlExampleDataDescriptor("Symbolic Regression (Koza-style)", "Koza-style symbolic regression problem for genetic programming.", Resources.symbreg_Koza),
        };
    }

    public override string LoadData(IDataDescriptor descriptor) {
      var gpdlDescriptor = descriptor as GpdlExampleDataDescriptor;
      if (gpdlDescriptor == null) throw new ArgumentException("Cannot load this type of problem instance into the GPDL editor.");
      return gpdlDescriptor.Source;
    }

    public override string Name {
      get { return "GPDL Example Provider"; }
    }

    public override string Description {
      get { return "Provides a set of GPDL definitions for genetic programming problems."; }
    }

    public override Uri WebLink {
      get { return new Uri("http://dev.heuristiclab.com/GPDL"); }
    }

    public override string ReferencePublication {
      get { return "Kronberger G., Kommenda M., Wagner S., Dobler H. - GPDL: A Framework-Independent Problem Definition Language for Grammar Guided Genetic Programming. In GECCO'13 Companion, July 6-10, 2013, Amsterdam, ACM."; }
    }
  }
}