[6711] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[6711] | 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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[8053] | 22 | using HeuristicLab.Common;
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[6711] | 23 | using HeuristicLab.Core;
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[8053] | 24 | using HeuristicLab.Data;
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[6711] | 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Optimization;
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[8053] | 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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[6711] | 30 | using HeuristicLab.Problems.VehicleRouting.Variants;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.VehicleRouting {
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| 33 | /// <summary>
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| 34 | /// An operator for adaptive constraint relaxation.
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| 35 | /// </summary>
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| 36 | [Item("PickupViolationsRelaxationVRPAnalyzer", "An operator for adaptively relaxing the pickup constraints.")]
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| 37 | [StorableClass]
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[11970] | 38 | public class PickupViolationsRelaxationVRPAnalyzer : SingleSuccessorOperator, IAnalyzer, IPickupAndDeliveryOperator, ISingleObjectiveOperator {
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[6711] | 39 | public ILookupParameter<IVRPProblemInstance> ProblemInstanceParameter {
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| 40 | get { return (ILookupParameter<IVRPProblemInstance>)Parameters["ProblemInstance"]; }
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| 41 | }
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| 42 | public ScopeTreeLookupParameter<IVRPEncoding> VRPToursParameter {
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| 43 | get { return (ScopeTreeLookupParameter<IVRPEncoding>)Parameters["VRPTours"]; }
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| 44 | }
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| 45 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 46 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 47 | }
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| 48 |
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| 49 | public ScopeTreeLookupParameter<IntValue> PickupViolationsParameter {
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| 50 | get { return (ScopeTreeLookupParameter<IntValue>)Parameters["PickupViolations"]; }
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| 51 | }
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| 52 |
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| 53 | public IValueParameter<DoubleValue> SigmaParameter {
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| 54 | get { return (IValueParameter<DoubleValue>)Parameters["Sigma"]; }
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| 55 | }
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| 56 | public IValueParameter<DoubleValue> PhiParameter {
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| 57 | get { return (IValueParameter<DoubleValue>)Parameters["Phi"]; }
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| 58 | }
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| 59 | public IValueParameter<DoubleValue> MinPenaltyFactorParameter {
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| 60 | get { return (IValueParameter<DoubleValue>)Parameters["MinPenaltyFactor"]; }
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| 61 | }
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[8497] | 62 | public IValueParameter<DoubleValue> MaxPenaltyFactorParameter {
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| 63 | get { return (IValueParameter<DoubleValue>)Parameters["MaxPenaltyFactor"]; }
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| 64 | }
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[6711] | 65 |
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| 66 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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| 67 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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| 68 | }
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| 69 |
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[7175] | 70 | public bool EnabledByDefault {
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| 71 | get { return false; }
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| 72 | }
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| 73 |
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[6711] | 74 | [StorableConstructor]
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[7906] | 75 | protected PickupViolationsRelaxationVRPAnalyzer(bool deserializing) : base(deserializing) { }
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[6711] | 76 |
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| 77 | public PickupViolationsRelaxationVRPAnalyzer()
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| 78 | : base() {
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| 79 | Parameters.Add(new LookupParameter<IVRPProblemInstance>("ProblemInstance", "The problem instance."));
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| 80 | Parameters.Add(new ScopeTreeLookupParameter<IVRPEncoding>("VRPTours", "The VRP tours which should be evaluated."));
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| 81 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the VRP solutions which should be analyzed."));
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| 82 |
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| 83 | Parameters.Add(new ScopeTreeLookupParameter<IntValue>("PickupViolations", "The pickup violation of the VRP solutions which should be analyzed."));
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| 84 |
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[8497] | 85 | Parameters.Add(new ValueParameter<DoubleValue>("Sigma", "The sigma applied to the penalty factor.", new DoubleValue(0.5)));
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| 86 | Parameters.Add(new ValueParameter<DoubleValue>("Phi", "The phi applied to the penalty factor.", new DoubleValue(0.5)));
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[6711] | 87 | Parameters.Add(new ValueParameter<DoubleValue>("MinPenaltyFactor", "The minimum penalty factor.", new DoubleValue(0.01)));
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[8497] | 88 | Parameters.Add(new ValueParameter<DoubleValue>("MaxPenaltyFactor", "The maximum penalty factor.", new DoubleValue(100000)));
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[6711] | 89 |
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| 90 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the best VRP solution should be stored."));
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| 91 | }
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| 92 |
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| 93 | public override IDeepCloneable Clone(Cloner cloner) {
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| 94 | return new PickupViolationsRelaxationVRPAnalyzer(this, cloner);
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| 95 | }
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| 96 |
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[7906] | 97 | protected PickupViolationsRelaxationVRPAnalyzer(PickupViolationsRelaxationVRPAnalyzer original, Cloner cloner)
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[6711] | 98 | : base(original, cloner) {
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| 99 | }
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| 100 |
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[8497] | 101 | [StorableHook(HookType.AfterDeserialization)]
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| 102 | private void AfterDeserialization() {
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| 103 | // BackwardsCompatibility3.3
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| 104 | #region Backwards compatible code, remove with 3.4
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| 105 | if (!Parameters.ContainsKey("MaxPenaltyFactor")) {
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| 106 | Parameters.Add(new ValueParameter<DoubleValue>("MaxPenaltyFactor", "The maximum penalty factor.", new DoubleValue(100000)));
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| 107 | }
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| 108 | #endregion
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| 109 | }
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| 110 |
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[6711] | 111 | public override IOperation Apply() {
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| 112 | IPickupAndDeliveryProblemInstance pdp = ProblemInstanceParameter.ActualValue as IPickupAndDeliveryProblemInstance;
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| 113 | ResultCollection results = ResultsParameter.ActualValue;
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[8053] | 114 |
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[6711] | 115 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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| 116 | ItemArray<IntValue> pickupViolations = PickupViolationsParameter.ActualValue;
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[8053] | 117 |
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[6711] | 118 | double sigma = SigmaParameter.Value.Value;
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| 119 | double phi = PhiParameter.Value.Value;
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| 120 | double minPenalty = MinPenaltyFactorParameter.Value.Value;
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[8497] | 121 | double maxPenalty = MaxPenaltyFactorParameter.Value.Value;
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[6711] | 122 |
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| 123 | for (int j = 0; j < qualities.Length; j++) {
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| 124 | qualities[j].Value -= pickupViolations[j].Value * pdp.PickupViolationPenalty.Value;
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| 125 | }
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| 126 |
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| 127 | int validCount = 0;
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| 128 | for (int j = 0; j < qualities.Length; j++) {
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| 129 | if (pickupViolations[j].Value == 0)
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| 130 | validCount++;
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| 131 | }
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| 132 |
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| 133 | double factor = 1.0 - ((double)validCount / (double)qualities.Length);
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| 134 |
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| 135 | double min = pdp.PickupViolationPenalty.Value / (1 + sigma);
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| 136 | double max = pdp.PickupViolationPenalty.Value * (1 + phi);
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| 137 |
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[12488] | 138 | pdp.CurrentPickupViolationPenalty = new DoubleValue(min + (max - min) * factor);
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| 139 | if (pdp.CurrentPickupViolationPenalty.Value < minPenalty)
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| 140 | pdp.CurrentPickupViolationPenalty.Value = minPenalty;
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| 141 | if (pdp.CurrentPickupViolationPenalty.Value > maxPenalty)
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| 142 | pdp.CurrentPickupViolationPenalty.Value = maxPenalty;
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[6711] | 143 |
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| 144 | for (int j = 0; j < qualities.Length; j++) {
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[12488] | 145 | qualities[j].Value += pickupViolations[j].Value * pdp.CurrentPickupViolationPenalty.Value;
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[6711] | 146 | }
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| 147 |
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| 148 | if (!results.ContainsKey("Current Pickup Violation Penalty")) {
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[12488] | 149 | results.Add(new Result("Current Pickup Violation Penalty", new DoubleValue(pdp.CurrentPickupViolationPenalty.Value)));
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[6711] | 150 | } else {
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[12488] | 151 | (results["Current Pickup Violation Penalty"].Value as DoubleValue).Value = pdp.CurrentPickupViolationPenalty.Value;
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[6711] | 152 | }
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| 153 |
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| 154 | return base.Apply();
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| 155 | }
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| 156 | }
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| 157 | }
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