1 | package de.ugoe.cs.eventbench.commands;
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2 |
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3 | import java.security.InvalidParameterException;
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4 | import java.util.ArrayList;
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5 | import java.util.Collection;
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6 | import java.util.HashSet;
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7 | import java.util.LinkedHashSet;
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8 | import java.util.LinkedList;
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9 | import java.util.List;
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10 | import java.util.Random;
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11 | import java.util.Set;
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12 |
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13 | import de.ugoe.cs.eventbench.data.Event;
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14 | import de.ugoe.cs.eventbench.data.GlobalDataContainer;
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15 | import de.ugoe.cs.eventbench.models.IStochasticProcess;
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16 | import de.ugoe.cs.util.console.Command;
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17 | import de.ugoe.cs.util.console.Console;
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18 |
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19 | /**
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20 | * <p>
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21 | * Command to generate all sequences of a given length.
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22 | * </p>
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23 | *
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24 | * @author Steffen Herbold
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25 | * @version 1.0
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26 | */
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27 | public class CMDgenerateFixedLengthSequences implements Command {
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28 |
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29 | /*
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30 | * (non-Javadoc)
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31 | *
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32 | * @see de.ugoe.cs.util.console.Command#run(java.util.List)
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33 | */
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34 | @Override
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35 | public void run(List<Object> parameters) {
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36 | String modelname;
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37 | String sequencesName;
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38 | int minLength;
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39 | int maxLength;
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40 | boolean all = true;
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41 | int numSequences = -1;
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42 | try {
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43 | modelname = (String) parameters.get(0);
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44 | sequencesName = (String) parameters.get(1);
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45 | minLength = Integer.parseInt((String) parameters.get(2));
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46 | maxLength = Integer.parseInt((String) parameters.get(3));
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47 | if (parameters.size() >= 5) {
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48 | all = Boolean.parseBoolean((String) parameters.get(4));
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49 | }
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50 | if (parameters.size() == 6) {
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51 | numSequences = Integer.parseInt((String) parameters.get(5));
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52 | }
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53 | } catch (Exception e) {
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54 | throw new InvalidParameterException();
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55 | }
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56 |
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57 | IStochasticProcess model = null;
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58 | Object dataObject = GlobalDataContainer.getInstance()
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59 | .getData(modelname);
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60 | if (dataObject == null) {
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61 | Console.println("Model " + modelname + " not found in storage.");
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62 | } else if (!(dataObject instanceof IStochasticProcess)) {
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63 | Console.println("Object " + modelname + " not of type MarkovModel!");
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64 | } else {
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65 | model = (IStochasticProcess) dataObject;
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66 | Collection<List<? extends Event<?>>> sequences = new LinkedHashSet<List<? extends Event<?>>>();
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67 | for (int length = minLength; length <= maxLength; length++) {
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68 | sequences.addAll(model.generateValidSequences(length + 2));
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69 | }
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70 | Console.traceln("" + sequences.size() + " possible");
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71 | if (!all && numSequences < sequences.size()) {
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72 | List<Double> probabilities = new ArrayList<Double>(
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73 | sequences.size());
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74 | double probSum = 0.0;
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75 | for (List<? extends Event<?>> sequence : sequences) {
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76 | double prob = model.getProbability(sequence);
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77 | probabilities.add(prob);
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78 | probSum += prob;
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79 | }
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80 | Set<Integer> drawnSequences = new HashSet<Integer>(numSequences);
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81 | Random r = new Random();
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82 | while (drawnSequences.size() < numSequences) {
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83 | double randVal = r.nextDouble() * probSum;
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84 | double sum = 0.0d;
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85 | int index = -1;
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86 | while (sum < randVal) {
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87 | index++;
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88 | double currentProb = probabilities.get(index);
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89 | sum += currentProb;
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90 | }
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91 | if (!drawnSequences.contains(index)) {
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92 | drawnSequences.add(index);
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93 | probSum -= probabilities.get(index);
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94 | probabilities.set(index, 0.0d);
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95 | }
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96 | }
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97 | Collection<List<? extends Event<?>>> retainedSequences = new LinkedList<List<? extends Event<?>>>();
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98 | int index = 0;
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99 | for (List<? extends Event<?>> sequence : sequences) {
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100 | if (drawnSequences.contains(index)) {
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101 | retainedSequences.add(sequence);
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102 | }
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103 | index++;
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104 | }
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105 | sequences = retainedSequences;
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106 | }
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107 | if (GlobalDataContainer.getInstance().addData(sequencesName,
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108 | sequences)) {
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109 | Console.traceln("Old data \"" + sequencesName
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110 | + "\" overwritten");
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111 | }
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112 | Console.println("" + sequences.size() + " sequences generated");
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113 | }
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114 | }
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115 |
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116 | /*
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117 | * (non-Javadoc)
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118 | *
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119 | * @see de.ugoe.cs.util.console.Command#help()
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120 | */
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121 | @Override
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122 | public void help() {
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123 | Console.println("Usage: generateFixedLengthSequences <modelname> <sequencesName> <length> {<all>} {<numSequences>}");
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124 | }
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125 |
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126 | }
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