source: branches/GeneralizedQAP/HeuristicLab.Services.ProblemInstances/PrimitiveSerializer.cs @ 6710

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2011 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.Globalization;
using System.Text;

namespace HeuristicLab.Services.ProblemInstances {
  public static class PrimitiveSerializer {
    public static string SerializeDoubleMatrix(double[][] matrix) {
      StringBuilder builder = new StringBuilder();
      int dim1 = matrix.Length;
      int dim2 = matrix[0].Length;
      builder.Append(dim1.ToString(CultureInfo.InvariantCulture.NumberFormat));
      builder.Append(";");
      builder.Append(dim2.ToString(CultureInfo.InvariantCulture.NumberFormat));
      for (int i = 0; i < dim1; i++) {
        for (int j = 0; j < dim2; j++) {
          if (matrix[i].Length != dim2) throw new ArgumentException("ERROR jagged array is not a matrix!");
          builder.Append(";" + matrix[i][j].ToString(CultureInfo.InvariantCulture.NumberFormat));
        }
      }
      return builder.ToString();
    }

    public static double[][] DeserializeDoubleMatrix(string data) {
      string[] tokens = data.Split(';');
      int dim1 = int.Parse(tokens[0], CultureInfo.InvariantCulture.NumberFormat);
      int dim2 = int.Parse(tokens[1], CultureInfo.InvariantCulture.NumberFormat);
      if (tokens.Length != (dim1 * dim2) + 2) throw new ArgumentException("ERROR serialized data does not represent a matrix!");
      double[][] result = new double[dim1][];
      for (int i = 0; i < dim1; i++) {
        result[i] = new double[dim2];
        for (int j = 0; j < dim2; j++)
          result[i][j] = double.Parse(tokens[i * dim1 + j + 2], CultureInfo.InvariantCulture.NumberFormat);
      }
      return result;
    }

    public static string SerializeMatrixWithHeaders(double[][] matrix, string[] headers) {
      StringBuilder builder = new StringBuilder();
      int dim1 = matrix.Length;
      if (headers.Length != dim1) throw new ArgumentException("ERROR: headers and matrix size do not correspond");
      int dim2 = matrix[0].Length;
      if (dim2 != dim1) throw new ArgumentException("ERROR: square matrix expected");
      builder.Append(dim1.ToString(CultureInfo.InvariantCulture.NumberFormat));
      builder.Append(";");
      builder.Append(dim2.ToString(CultureInfo.InvariantCulture.NumberFormat));
      for (int i = 0; i < headers.Length; i++) {
        builder.Append(";" + headers[i]);
      }
      for (int i = 0; i < dim1; i++) {
        for (int j = 0; j < dim2; j++) {
          if (matrix[i].Length != dim2) throw new ArgumentException("ERROR jagged array is not a matrix!");
          builder.Append(";" + matrix[i][j].ToString(CultureInfo.InvariantCulture.NumberFormat));
        }
      }
      return builder.ToString();
    }

    public static double[][] DeserializeMatrixWithHeaders(string data, out string[] headers) {
      string[] tokens = data.Split(';');
      int dim1 = int.Parse(tokens[0], CultureInfo.InvariantCulture.NumberFormat);
      int dim2 = int.Parse(tokens[1], CultureInfo.InvariantCulture.NumberFormat);
      if (dim1 != dim2) throw new ArgumentException("ERROR: square matrix expected");
      headers = new string[dim1];
      if (tokens.Length != (dim1 * dim2) + 2 + dim1) throw new ArgumentException("ERROR serialized data does not represent a matrix!");
      for (int i = 0; i < dim1; i++)
        headers[i] = tokens[i + 2];
      double[][] result = new double[dim1][];
      for (int i = 0; i < dim1; i++) {
        result[i] = new double[dim2];
        for (int j = 0; j < dim2; j++)
          result[i][j] = double.Parse(tokens[(i + 1) * dim1 + j + 2], CultureInfo.InvariantCulture.NumberFormat);
      }
      return result;
    }

    public static string SerializeIntArray(int[] array) {
      StringBuilder builder = new StringBuilder();
      int dim1 = array.Length;
      builder.Append(dim1.ToString(CultureInfo.InvariantCulture.NumberFormat));
      builder.Append(";");
      for (int i = 0; i < dim1; i++) {
        builder.Append(";" + array[i].ToString(CultureInfo.InvariantCulture.NumberFormat));
      }
      return builder.ToString();
    }

    public static int[] DeserializeIntArray(string array) {
      string[] tokens = array.Split(';');
      int dim1 = int.Parse(tokens[0], CultureInfo.InvariantCulture.NumberFormat);
      int[] result = new int[dim1];
      for (int i = 0; i < dim1; i++) {
        result[i] = int.Parse(tokens[i + 1], CultureInfo.InvariantCulture.NumberFormat);
      }
      return result;
    }
  }
}