Examples of statechum.analysis.learning.DrawGraphs$Graph2D

statechum.analysis.learning.DrawGraphs
Represents a graph. @param < ELEM> type of elements for the X axis, vertical is always a Double

  }
    
  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_LINKEDHASH);config.setLearnerScoreMode(ScoreMode.COMPATIBILITY);
    ConvertALabel converter = new Transform.InternStringLabel();
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");
    final int ThreadNumber = ExperimentRunner.getCpuNumber();

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  }
  
  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_LINKEDHASH);
    ConvertALabel converter = new Transform.InternStringLabel();
    //gr_NewToOrig.setLimit(7000);
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");

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  }
    
  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_ARRAY);config.setLearnerScoreMode(ScoreMode.ONLYOVERRIDE);
    ConvertALabel converter = new Transform.InternStringLabel();
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");
    final int ThreadNumber = ExperimentRunner.getCpuNumber();

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  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_LINKEDHASH);config.setLearnerScoreMode(ScoreMode.COMPATIBILITY);//ONLYOVERRIDE);
    ConvertALabel converter = new Transform.InternStringLabel();
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");
    final int ThreadNumber = ExperimentRunner.getCpuNumber();

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    mutationStages = mutationStagesArg;graphComplexityMax = graphComplexityMaxArg;
    
  }
  
  public void runExperiment(int initStates, boolean skip){
    DrawGraphs gr = new DrawGraphs();
    this.skipLanguage = skip;
    Random r = new Random(0);


    RBoxPlot<Integer> 
      gr_Diff_States = new RBoxPlot<Integer>("States","Diff/Mutations",new File("diff_states.pdf")),

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  }
  
  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_LINKEDHASH);
    ConvertALabel converter = new Transform.InternStringLabel();
    //gr_NewToOrig.setLimit(7000);
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");

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  @SuppressWarnings("null")
  public static void runExperiment() throws Exception
  {
    DrawGraphs gr = new DrawGraphs();
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setAskQuestions(false);config.setDebugMode(false);config.setGdLowToHighRatio(0.7);config.setRandomPathAttemptFudgeThreshold(1000);
    config.setTransitionMatrixImplType(STATETREE.STATETREE_LINKEDHASH);config.setLearnerScoreMode(ScoreMode.COMPATIBILITY);
    ConvertALabel converter = new Transform.InternStringLabel();
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");
    final int ThreadNumber = ExperimentRunner.getCpuNumber();

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       pathGen.generatePosNeg(2*(wMethod.size()-wPos), 1);
       wMethod.addAll(pathGen.getExtraSequences(0).getData());
       System.out.println("after rnd: "+wMethod.size()+" sequences");
       
       
       DrawGraphs gr = new DrawGraphs();
    final RBoxPlot<Integer>
        uas_S=new RBoxPlot<Integer>("Time","BCR",new File("time_S_"+name+"_bcr.pdf"));
    Set<Integer> allFrames = collectionOfTraces.get(UAVAllSeeds).tracesForUAVandFrame.get(UAVAllSeeds).keySet();
    ProgressIndicator progress = new ProgressIndicator("UAS", allFrames.size());

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    final Collection<List<Label>> wMethod = graphReference.wmethod.getFullTestSet(1);
        
    // Here I need to moderate the effort because choosing traces for all seeds is good but I need
    // that many times more traces, so I have to create a graph in terms of effort v.s. quailty (or even better, scale
    // the existing one).
    DrawGraphs gr = new DrawGraphs();


    final RBoxPlot<Pair<Integer,String>> 
      uas_outcome = new RBoxPlot<Pair<Integer,String>>("Time","BCR",new File("time_bcr.pdf"));
    final RBoxPlot<Integer>
          uas_A=new RBoxPlot<Integer>("Time","BCR",new File("time_A_bcr.pdf")),

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    mutationStages = mutationStagesArg;graphComplexityMax = graphComplexityMaxArg;
    
  }
  
  public void runExperiment(int initStates, boolean skip){
    DrawGraphs gr = new DrawGraphs();
    this.skipLanguage = skip;
    Random r = new Random(0);


    RBoxPlot<Integer> 
      gr_Diff_States = new RBoxPlot<Integer>("States","Diff/Mutations",new File("diff_states.pdf")),

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