#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2018 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.Linq;
using System.Text.RegularExpressions;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Problems.Instances;

namespace WalkExporter {
  static class Util {

    public static double Evaluate(Permutation sol, QAPData qap) {
      var weights = qap.Weights;
      var distances = qap.Distances;
      var q = 0.0;
      for (var i = 0; i < sol.Length; i++)
        for (var j = 0; j < sol.Length; j++)
          q += weights[i, j] * distances[sol[i], sol[j]];
      return q;
    }

    public static double EvaluateSwap2Diff(Permutation sol, int a, int b, QAPData qap) {
      if (a == b) return 0;
      double moveQuality = 0;
      int fac1 = a, fac2 = b;
      int loc1 = sol[fac1], loc2 = sol[fac2];
      var weights = qap.Weights;
      var distances = qap.Distances;

      for (int j = 0; j < sol.Length; j++) {
        if (j == fac1) {
          moveQuality += weights[fac1, fac1] * (distances[loc2, loc2] - distances[loc1, loc1]);
          moveQuality += weights[fac1, fac2] * (distances[loc2, loc1] - distances[loc1, loc2]);
        } else if (j == fac2) {
          moveQuality += weights[fac2, fac2] * (distances[loc1, loc1] - distances[loc2, loc2]);
          moveQuality += weights[fac2, fac1] * (distances[loc1, loc2] - distances[loc2, loc1]);
        } else {
          int locJ = sol[j];
          moveQuality += weights[fac1, j] * (distances[loc2, locJ] - distances[loc1, locJ]);
          moveQuality += weights[j, fac1] * (distances[locJ, loc2] - distances[locJ, loc1]);
          moveQuality += weights[fac2, j] * (distances[loc1, locJ] - distances[loc2, locJ]);
          moveQuality += weights[j, fac2] * (distances[locJ, loc1] - distances[locJ, loc2]);
        }
      }
      return moveQuality;
    }

    public static int Dist(Permutation a, Permutation b) {
      var dist = 0;
      for (var i = 0; i < a.Length; i++)
        if (a[i] != b[i]) dist++;
      return dist;
    }

    public static string GetGeneratorClass(string name) {
      var match = Regex.Match(name, @"(?<n>.*)-\d+$");
      if (match.Success) {
        name = match.Groups["n"].Value;
      }
      var subCls = name.Last();
      var cls = name.Substring(0, 3);
      switch (cls) {
        case "lip":
          cls = name.Substring(0, 4) + "-" + subCls;
          break;
        case "RAN":
          cls = name.Substring(0, 4) + "-" + name[name.Length - 2] + name[name.Length - 1];
          break;
        case "tai":
          if (Regex.IsMatch(name, "tai\\d+e\\d+")) cls += "-e";
          else if (char.IsLetter(subCls)) cls += "-" + subCls;
          break;
      }
      return cls;
    }
  }
}