1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Core;
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26 |
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27 | namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Common {
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28 | public static class ExtensionMethods {
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29 |
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30 | /// <summary>
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31 | /// Simply enumerates the sequence by moving over all elements.
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32 | /// </summary>
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33 | /// <typeparam name="T">The type of the items that are to be enumerated.</typeparam>
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34 | /// <param name="source">The enumerable that contains the items.</param>
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35 | public static void Enumerate<T>(this IEnumerable<T> source) {
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36 | var enumerator = source.GetEnumerator();
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37 | while (enumerator.MoveNext()) ;
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38 | }
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39 |
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40 | /// <summary>
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41 | /// Selects an element from an enumerable randomly with equal probability for each element. If the sequence is empty, selected will be false and default(T) will be returned.
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42 | /// </summary>
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43 | /// <typeparam name="T">The type of the items that are to be selected.</typeparam>
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44 | /// <param name="source">The enumerable that contains the items.</param>
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45 | /// <param name="random">The random number generator, its NextDouble() method must return a value in the range [0;1).</param>
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46 | /// <param name="selected">True if an element was selected, false otherwise (only because of an empty sequence).</param>
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47 | /// <returns>The selected item.</returns>
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48 | public static T ChooseRandomOrDefault<T>(this IEnumerable<T> source, IRandom random, out bool selected) {
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49 | if (source == null) throw new ArgumentNullException("SelectRandomOrDefault: source is null");
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50 | uint counter = 1;
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51 | selected = false;
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52 | T selectedItem = default(T);
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53 | foreach (T item in source) {
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54 | if (counter * random.NextDouble() < 1.0) { // use multiplication instead of division
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55 | selectedItem = item;
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56 | selected = true;
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57 | }
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58 | counter++;
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59 | }
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60 | return selectedItem;
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61 | }
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62 |
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63 | /// <summary>
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64 | /// Selects an element from an enumerable randomly with equal probability for each element.
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65 | /// </summary>
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66 | /// <typeparam name="T">The type of the items that are to be selected.</typeparam>
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67 | /// <param name="source">The enumerable that contains the items.</param>
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68 | /// <param name="random">The random number generator, its NextDouble() method must return a value in the range [0;1).</param>
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69 | /// <returns>The selected item.</returns>
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70 | public static T ChooseRandom<T>(this IEnumerable<T> source, IRandom random) {
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71 | if (source == null) throw new ArgumentNullException("SelectRandom: source is null");
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72 | if (!source.Any()) throw new ArgumentException("SelectRandom: sequence is empty.");
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73 | uint counter = 1;
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74 | T selectedItem = default(T);
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75 | foreach (T item in source) {
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76 | if (counter * random.NextDouble() < 1.0) // use multiplication instead of division
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77 | selectedItem = item;
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78 | counter++;
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79 | }
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80 | return selectedItem;
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81 | }
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82 |
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83 | /// <summary>
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84 | /// Shuffles an enumerable and returns an new enumerable according to the Fisher-Yates shuffle.
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85 | /// </summary>
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86 | /// <remarks>
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87 | /// Source code taken from http://stackoverflow.com/questions/1287567/c-is-using-random-and-orderby-a-good-shuffle-algorithm.
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88 | /// Note that this is an online shuffle, but the source enumerable is transformed into an array.
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89 | /// </remarks>
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90 | /// <typeparam name="T">The type of the items that are to be shuffled.</typeparam>
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91 | /// <param name="source">The enumerable that contains the items.</param>
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92 | /// <param name="random">The random number generator, its Next(int) method must deliver uniformly distributed random numbers.</param>
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93 | /// <returns>An enumerable with the elements shuffled.</returns>
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94 | public static IEnumerable<T> Shuffle<T>(this IEnumerable<T> source, IRandom random) {
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95 | T[] elements = source.ToArray();
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96 | // Note i > 0 to avoid final pointless iteration
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97 | for (int i = elements.Length - 1; i > 0; i--) {
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98 | // Swap element "i" with a random earlier element it (or itself)
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99 | int swapIndex = random.Next(i + 1);
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100 | yield return elements[swapIndex];
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101 | elements[swapIndex] = elements[i];
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102 | // we don't actually perform the swap, we can forget about the
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103 | // swapped element because we already returned it.
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104 | }
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105 |
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106 | // there is one item remaining that was not returned - we return it now
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107 | yield return elements[0];
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108 | }
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109 |
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110 | /// <summary>
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111 | /// Walks an operator graph in that it jumps from one operator to all its operator parameters and yields each operator it touches.
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112 | /// Cycles are detected and not walked twice.
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113 | /// </summary>
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114 | /// <param name="initial">The operator where the walk starts (is also yielded).</param>
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115 | /// <returns>An enumeration of all the operators that could be found.</returns>
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116 | public static IEnumerable<IOperator> Walk(this IOperator initial) {
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117 | var open = new Stack<IOperator>();
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118 | var visited = new HashSet<IOperator>();
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119 | open.Push(initial);
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120 |
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121 | while (open.Any()) {
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122 | IOperator current = open.Pop();
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123 | if (visited.Contains(current)) continue;
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124 | visited.Add(current);
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125 |
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126 | foreach (var parameter in current.Parameters.OfType<IValueParameter>()) {
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127 | if (typeof(IOperator).IsAssignableFrom(parameter.DataType)) {
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128 | if (parameter.Value != null)
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129 | open.Push((IOperator)parameter.Value);
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130 | }
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131 | }
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132 |
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133 | yield return current;
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134 | }
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135 | }
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136 |
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137 | }
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138 | }
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