1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 HeuristicLab.Core;
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23 | using HeuristicLab.Encodings.PermutationEncoding;
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24 | using HeuristicLab.Parameters;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 | using HeuristicLab.Data;
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27 | using System.Collections.Generic;
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28 | using HeuristicLab.Common;
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29 | using HeuristicLab.Problems.VehicleRouting.Variants;
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30 | using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
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31 |
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32 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
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33 | [Item("PotvinPairwiseTwoLevelExchangeManipulator", "The 2M operator which manipulates a VRP representation. It is implemented as described in Potvin, J.-Y. and Bengio, S. (1996). The Vehicle Routing Problem with Time Windows - Part II: Genetic Search. INFORMS Journal of Computing, 8:165–172. It was adapted to the PDP formulation.")]
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34 | [StorableClass]
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35 | public sealed class PotvinPairwiseTwoLevelExchangeManipulator : PotvinManipulator {
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36 | [StorableConstructor]
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37 | private PotvinPairwiseTwoLevelExchangeManipulator(bool deserializing) : base(deserializing) { }
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38 |
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39 | public PotvinPairwiseTwoLevelExchangeManipulator() : base() { }
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40 |
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41 | public override IDeepCloneable Clone(Cloner cloner) {
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42 | return new PotvinPairwiseTwoLevelExchangeManipulator(this, cloner);
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43 | }
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44 |
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45 | private PotvinPairwiseTwoLevelExchangeManipulator(PotvinPairwiseTwoLevelExchangeManipulator original, Cloner cloner)
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46 | : base(original, cloner) {
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47 | }
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48 |
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49 | private PotvinEncoding ReplacePair(PotvinEncoding individual, int replaced, int replacing, bool allowInfeasible) {
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50 | individual = individual.Clone() as PotvinEncoding;
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51 | IPickupAndDeliveryProblemInstance pdp = ProblemInstance as IPickupAndDeliveryProblemInstance;
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52 |
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53 | int replacedDest = pdp.GetPickupDeliveryLocation(replaced);
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54 | int replacedSource, replacedTarget;
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55 | if (pdp.GetDemand(replaced) >= 0) {
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56 | replacedSource = replaced;
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57 | replacedTarget = replacedDest;
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58 | } else {
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59 | replacedSource = replacedDest;
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60 | replacedTarget = replaced;
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61 | }
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62 | Tour replacedSourceTour = individual.Tours.Find(t => t.Stops.Contains(replacedSource));
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63 | Tour replacedTargetTour = individual.Tours.Find(t => t.Stops.Contains(replacedTarget));
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64 |
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65 | int replacingDest = pdp.GetPickupDeliveryLocation(replacing);
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66 | int replacingSource, replacingTarget;
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67 | if (pdp.GetDemand(replacing) >= 0) {
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68 | replacingSource = replacing;
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69 | replacingTarget = replacingDest;
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70 | } else {
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71 | replacingSource = replacingDest;
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72 | replacingTarget = replacing;
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73 | }
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74 | Tour replacingSourceTour = individual.Tours.Find(t => t.Stops.Contains(replacingSource));
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75 | Tour replacingTargetTour = individual.Tours.Find(t => t.Stops.Contains(replacingTarget));
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76 |
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77 | replacingSourceTour.Stops.Remove(replacingSource);
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78 | replacingTargetTour.Stops.Remove(replacingTarget);
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79 |
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80 | replacedSourceTour.Stops[replacedSourceTour.Stops.IndexOf(replacedSource)] = replacingSource;
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81 | if (!allowInfeasible && !ProblemInstance.TourFeasible(replacedSourceTour, individual))
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82 | return null;
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83 |
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84 | replacedTargetTour.Stops[replacedTargetTour.Stops.IndexOf(replacedTarget)] = replacingTarget;
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85 | if (!allowInfeasible && !ProblemInstance.TourFeasible(replacedTargetTour, individual))
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86 | return null;
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87 |
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88 | double bestQuality = double.MaxValue;
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89 | int bestTour = -1;
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90 | int bestPositionSource = -1;
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91 | int bestPositionTarget = -1;
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92 |
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93 | int routeToAvoid = individual.Tours.IndexOf(replacingSourceTour);
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94 |
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95 | for (int tourIdx = 0; tourIdx < individual.Tours.Count; tourIdx++) {
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96 | if (tourIdx != routeToAvoid) {
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97 | Tour tour = individual.Tours[tourIdx];
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98 | VRPEvaluation eval = ProblemInstance.EvaluateTour(tour, individual);
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99 | individual.InsertPair(tour, replacedSource, replacedTarget, ProblemInstance);
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100 | VRPEvaluation evalNew = ProblemInstance.EvaluateTour(tour, individual);
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101 |
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102 | double delta = evalNew.Quality - eval.Quality;
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103 |
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104 | if (delta < bestQuality &&
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105 | (ProblemInstance.Feasible(evalNew) || allowInfeasible)) {
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106 | bestQuality = delta;
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107 | bestTour = tourIdx;
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108 | bestPositionSource = tour.Stops.IndexOf(replacedSource);
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109 | bestPositionTarget = tour.Stops.IndexOf(replacedTarget);
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110 | }
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111 |
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112 | tour.Stops.Remove(replacedSource);
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113 | tour.Stops.Remove(replacedTarget);
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114 | }
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115 | }
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116 |
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117 | if (bestTour != -1) {
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118 | if (bestPositionTarget < bestPositionSource) {
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119 | individual.Tours[bestTour].Stops.Insert(bestPositionTarget, replacedTarget);
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120 | individual.Tours[bestTour].Stops.Insert(bestPositionSource, replacedSource);
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121 | } else {
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122 | individual.Tours[bestTour].Stops.Insert(bestPositionSource, replacedSource);
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123 | individual.Tours[bestTour].Stops.Insert(bestPositionTarget, replacedTarget);
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124 | }
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125 |
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126 | return individual;
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127 | } else {
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128 | return null;
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129 | }
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130 | }
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131 |
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132 | protected override void Manipulate(IRandom random, PotvinEncoding individual) {
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133 | bool allowInfeasible = AllowInfeasibleSolutions.Value.Value;
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134 | IPickupAndDeliveryProblemInstance pdp = ProblemInstance as IPickupAndDeliveryProblemInstance;
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135 |
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136 | if (pdp != null) {
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137 | int selectedIndex = SelectRandomTourBiasedByLength(random, individual);
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138 | if (selectedIndex >= 0) {
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139 | bool performed = false;
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140 | Tour route1 = individual.Tours[selectedIndex];
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141 |
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142 | if (route1.Stops.Count > 0) {
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143 | //randomize customer selection
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144 | Permutation perm = new Permutation(PermutationTypes.Absolute, route1.Stops.Count, random);
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145 | int customer1Position = 0;
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146 |
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147 | while (customer1Position < route1.Stops.Count) {
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148 | performed = false;
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149 |
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150 | int customer1 = route1.Stops[perm[customer1Position]];
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151 | int customer2 = -1;
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152 |
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153 | for (int i = 0; i < individual.Tours.Count; i++) {
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154 | if (i != selectedIndex) {
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155 | Tour tour = individual.Tours[i];
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156 | for (int customer2Position = 0; customer2Position < tour.Stops.Count; customer2Position++) {
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157 | customer2 = tour.Stops[customer2Position];
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158 |
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159 | if (pdp.GetPickupDeliveryLocation(customer1) != customer2) {
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160 | PotvinEncoding result = ReplacePair(individual, customer2, customer1, allowInfeasible);
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161 | if (result != null) {
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162 | VRPToursParameter.ActualValue = result;
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163 | individual = result;
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164 |
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165 | route1 = individual.Tours[selectedIndex];
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166 | performed = true;
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167 | break;
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168 | }
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169 | }
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170 | }
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171 | }
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172 |
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173 | if (performed) {
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174 | break;
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175 | }
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176 | }
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177 |
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178 | if (!performed)
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179 | customer1Position++;
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180 | else
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181 | break;
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182 | }
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183 | }
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184 | }
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185 | }
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186 | }
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187 | }
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188 | }
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