#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.Linq;
using System.Reflection;
using System.Text.RegularExpressions;
using HeuristicLab.Problems.DataAnalysis;
using HeuristicLab.Problems.Instances.DataAnalysis;

namespace HeuristicLab.Problems.Instances.Regression.TrentMcConaghy {
  public class TrentMcConaghyInstanceProvider : ResourceRegressionInstanceProvider {
    public override string Name {
      get { return "Trent McConaghy Benchmark Problems"; }
    }
    public override string Description {
      get {
        return "Paper: Deterministic Symbolic Regression Technology, Genetic Programming Theory and Practice IX" + Environment.NewLine
          + "High-Dimensional Statistical Modeling and Analysis of Custom Integrated Circuits" + Environment.NewLine
          + "Authors: T. McConaghy" + Environment.NewLine
          + "Website: http://trent.st/ffx/";
      }
    }
    public override Uri WebLink {
      get { return new Uri("http://trent.st/ffx/"); }
    }
    public override string ReferencePublication {
      get { return ""; }
    }

    protected override string FileName { get { return "TrentMcConaghy"; } }

    public override IRegressionProblemData LoadData(IDataDescriptor id) {
      IRegressionProblemData regData = base.LoadData(id);
      string targetVar = regData.InputVariables.First().Value;
      IEnumerable<string> allowedInputVars = regData.InputVariables.Where(x => !x.Equals(regData.TargetVariable)).Select(x => x.Value);
      RegressionProblemData newRegData = new RegressionProblemData(regData.Dataset, allowedInputVars, targetVar);

      return regData;
    }

    /**
     * has to be overriden to get the ResourceName of this Assembly
     */
    protected override string GetResourceName(string fileName) {
      return Assembly.GetExecutingAssembly().GetManifestResourceNames()
              .Where(x => Regex.Match(x, @".*\.Data\." + fileName).Success).SingleOrDefault();
    }
  }
}