using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Common;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Core;
using HeuristicLab.Analysis;

namespace HeuristicLab.Problems.MetaOptimization {
  /// <summary>
  /// An operator for analyzing the diversity of solutions of Traveling Salesman Problems given in path representation.
  /// </summary>
  [Item("PMOPopulationDiversityAnalyzer", "An operator for analyzing the diversity of solutions of Parameter Meta-Optimization.")]
  [StorableClass]
  public sealed class PMOPopulationDiversityAnalyzer : PopulationDiversityAnalyzer<ParameterConfigurationTree> {
    [StorableConstructor]
    private PMOPopulationDiversityAnalyzer(bool deserializing) : base(deserializing) { }
    private PMOPopulationDiversityAnalyzer(PMOPopulationDiversityAnalyzer original, Cloner cloner) : base(original, cloner) { }
    public PMOPopulationDiversityAnalyzer() : base() { }

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

    protected override double[,] CalculateSimilarities(ParameterConfigurationTree[] solutions) {
      int count = solutions.Length;
      double[,] similarities = new double[count, count];

      for (int i = 0; i < count; i++) {
        similarities[i, i] = 1;
        for (int j = i + 1; j < count; j++) {
          similarities[i, j] = CalculateSimilarity(solutions[i], solutions[j]);
          similarities[j, i] = similarities[i, j];
        }
      }
      return similarities;
    }

    private double CalculateSimilarity(ParameterConfigurationTree pca, ParameterConfigurationTree pcb) {
      return pca.CalculateSimilarity(pcb);
    }
  }
}