Package statechum.DeterministicDirectedSparseGraph

Examples of statechum.DeterministicDirectedSparseGraph.VertID


        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here


       
        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

          timerToDetectLongRunningAutomata.schedule(recordPta,1000l*60l*20l);
          actualAutomaton = learnerOfPairs.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
          recordPta.cancel();
        }
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

          timerToDetectLongRunningAutomata.schedule(recordPta,1000l*60l*20l);
          actualAutomaton = learnerOfPairs.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
          recordPta.cancel();
        }
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

          timerToDetectLongRunningAutomata.schedule(recordPta,1000l*60l*20l);
          actualAutomaton = learnerOfPairs.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
          recordPta.cancel();
        }
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

       
        SampleData dataSample = new SampleData(null,null);
        //dataSample.difference = new DifferenceToReferenceDiff(0, 0);
        //dataSample.differenceForReferenceLearner = new DifferenceToReferenceDiff(0, 0);
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

          timerToDetectLongRunningAutomata.schedule(recordPta,1000l*60l*20l);
          actualAutomaton = learnerOfPairs.learnMachine(new LinkedList<List<Label>>(),new LinkedList<List<Label>>());
          recordPta.cancel();
        }
       
        VertID rejectVertexID = null;
        for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
          if (!v.isAccept())
          {
            assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
            rejectVertexID = v;break;
View Full Code Here

    return outcome;
  }

  public static DifferenceToReference getMeasure(LearnerGraph actualAutomaton, LearnerGraph referenceGraph, final Collection<List<Label>> testSet)
  {
    VertID rejectVertexID = null;
    for(CmpVertex v:actualAutomaton.transitionMatrix.keySet())
      if (!v.isAccept())
      {
        assert rejectVertexID == null : "multiple reject vertices in learnt automaton, such as "+rejectVertexID+" and "+v;
        rejectVertexID = v;break;
View Full Code Here

      }
      // Add relabelling: first, aTOb , then duplicates. If this is done in a different order
      // we might relabel a vertex to the name already in use and relabel will choke.
      for(Entry<CmpVertex,CmpVertex> entry:aTOb.entrySet())
      {
        VertID from = entry.getKey(), to = newBToOrig.get(entry.getValue());
        if (!from.equals(to))
          addRelabelling(from,to);
      }

      for(CmpVertex vert:duplicates)
        addRelabelling(vert, newBToOrig.get(vert));
View Full Code Here

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