Examples of ConvertALabel

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
  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");
    final int ThreadNumber = ExperimentRunner.getCpuNumber();
   
    ExecutorService executorService = Executors.newFixedThreadPool(ThreadNumber);
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

55
56
57
58
59
60
61
62
63
64
65
  /** Deterministic case. */
  @Test
  public void testParseAutomataAndComputeDiff1() throws IncompatibleStatesException
  {
    ConvertALabel converter = null;
    Configuration config = Configuration.getDefaultConfiguration().copy();
    Random rnd=new Random(0);
    for(int states=1;states < 100;states++)
    {
      final int alphabet = 2*states;
 
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

80
81
82
83
84
85
86
87
88
89
90
 
  /** Non-deterministic case. */
  @Test
  public void testParseAutomataAndComputeDiff2()
  {
    ConvertALabel converter = null;
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setGdFailOnDuplicateNames(false);
    Random rnd=new Random(0);
    LearnerGraphND previous = null;
   
    for(int states=1;states < 100;states++)
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

89
90
91
92
93
94
95
96
97
98
   */
  public static Set<List<Label>> convertTracesToErl(Set<List<Label>> traces, Configuration config)
  {
    ErlangModule mod = ErlangModule.findModule(config.getErlangModuleName());
    Set<List<Label>> convertedTraces = null;
    ConvertALabel converter = mod.behaviour.new ConverterErlToMod();
    convertedTraces = new HashSet<List<Label>>();
    for(List<Label> list:traces) convertedTraces.add(OTPBehaviour.convertTrace(list, converter));
    return convertedTraces;
  }
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

112
113
114
115
116
117
118
119
  }
 
  /** Creates a label from the string of text and a configuration. */
  public static void createLabel(String str, Configuration config)
  {
    ConvertALabel converter = null;
    AbstractLearnerGraph.generateNewLabel("{"+ErlangLabel.missingFunction+","+str+"}", config,converter);
  }
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

772
773
774
775
776
777
778
779
780
781
782
  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.ONLYOVERRIDE);
    ConvertALabel converter = new Transform.InternStringLabel();
    GlobalConfiguration.getConfiguration().setProperty(G_PROPERTIES.LINEARWARNINGS, "false");
    final int ThreadNumber = ExperimentRunner.getCpuNumber(); 
    ExecutorService executorService = Executors.newFixedThreadPool(ThreadNumber);
    final int minStateNumber = 20;
    final int samplesPerFSM = 10;
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

35
36
37
38
39
40
41
42
43
44
45
  // AbstractLearnerGraph is polymorphic in this context: I can use both deterministic and non-deterministic graphs.
  @Parameters
  public static Collection<Object[]> data()
  {
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setTransitionMatrixImplType(STATETREE.STATETREE_SLOWTREE);
    ConvertALabel converter = new Transform.InternStringLabel();
    final String fsmA = "S-a->S1-b->"+"A-a->A1-a-#AR\nA1-d->A2-d->A3\nA1-c->A2-c->A3"+TestRpniLearner.PTA3;
    final String fsmB = "S-a->S\nA1-a->A2\nS-a->S1-b->"+"A-a->A1-a-#AR\nA1-d->A2-d->A3\nA1-c->A2-c->A3"+TestRpniLearner.PTA3;
    LearnerGraph graphD=FsmParser.buildLearnerGraph(fsmA, "testCopyGraph2",config,converter);
    LearnerGraphND graphND=FsmParser.buildLearnerGraphND(fsmB, "testCopyGraph4",config,converter);
    LearnerGraph graphDNotIntern=FsmParser.buildLearnerGraph(fsmA, "testCopyGraph2",config,null);
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

91
92
93
94
95
96
97
98
99
100
101
        }
      }
    }
   

    ConvertALabel converter = new Transform.InternStringLabel();
    LearnerGraph differentGraphA = new LearnerGraph(graphD,graphD.config);differentGraphA.transitionMatrix.get(differentGraphA.findVertex("A2"))
      .put(AbstractLearnerGraph.generateNewLabel("t",differentGraphA.config,converter),
          differentGraphA.findVertex("A3"));
    differentGraphA.setName("differentA");
    LearnerGraphND differentGraphB = new LearnerGraphND(graphND,graphD.config);differentGraphB.transitionMatrix.get(differentGraphB.findVertex("A2"))
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
  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(); 
    ExecutorService executorService = Executors.newFixedThreadPool(ThreadNumber);
    final int minStateNumber = 20;
    final int samplesPerFSM = 10;
View Full Code Here

Examples of statechum.analysis.learning.rpnicore.Transform.ConvertALabel

517
518
519
520
521
522
523
524
525
526
527
      });
    }

    public static <TARGET_TYPE,CACHE_TYPE extends CachedData<TARGET_TYPE,CACHE_TYPE>> void convertLabelsToStrings(AbstractLearnerGraph<TARGET_TYPE,CACHE_TYPE> grFrom, AbstractLearnerGraph<TARGET_TYPE,CACHE_TYPE> grTo)
    {
        AbstractLearnerGraph.interpretLabelsOnGraph(grFrom,grTo,new Transform.ConvertLabel(new ConvertALabel() {
       
        @Override
        public Label convertLabelToLabel(Label label) {
          ErlangLabel lbl = (ErlangLabel)label;
          return new StringLabel(lbl.function.getName()+"/"+lbl.function.getArity()+","+lbl.input+","+lbl.expectedOutput);
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.