Examples of statechum.analysis.learning.rpnicore.GD.ChangesRecorder

Package statechum.analysis.learning.rpnicore.GD

Examples of statechum.analysis.learning.rpnicore.GD.ChangesRecorder

statechum.analysis.learning.rpnicore.GD.ChangesRecorder

      LearnerGraph grA = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, grA);addColourAndIncompatiblesRandomly(grA, new Random(0));
      LearnerGraph grB = new LearnerGraph(config);AbstractPersistence.loadGraph(fileB, grB);addColourAndIncompatiblesRandomly(grB, new Random(1));
      GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
      LearnerGraph graph = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, graph);addColourAndIncompatiblesRandomly(graph, new Random(0));
      LearnerGraph outcome = new LearnerGraph(config);
      ChangesRecorder patcher = new ChangesRecorder(null);
      //gd.computeGD(grA, grB, threadNumber, patcher,config);
      
      gd.init(grA, grB, threadNumber,config);
      gd.identifyKeyPairs();
      if (!gd.fallbackToInitialPair) addPairsRandomly(gd,pairsToAdd);
      else Assert.assertEquals(-1.,low_to_high_ratio,Configuration.fpAccuracy);
      gd.makeSteps();
      gd.computeDifference(patcher);


      ChangesRecorder.applyGD_WithRelabelling(graph, patcher.writeGD(TestGD.createDoc()),outcome);
      Assert.assertNull(testDetails(),WMethod.checkM(grB,graph));
      Assert.assertEquals(testDetails(),grB.getStateNumber(),graph.getStateNumber());
      DifferentFSMException ex= WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP);
      Assert.assertNull(testDetails()+ex,WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
      Assert.assertEquals(grB,outcome);

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      {
        LearnerGraphND loadedA1 = new LearnerGraphND(config);AbstractPersistence.loadGraph(fileA1, loadedA1);
        LearnerGraph loadedA2 = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA2, loadedA2);
        graph = LearnerGraphND.UniteTransitionMatrices(loadedA1,loadedA2);TestGD_ExistingGraphs.addColourAndTransitionsRandomly(graph, new Random(0));
      }
      ChangesRecorder patcher = new ChangesRecorder(null);
      //gd.computeGD(grA, grB, threadNumber, patcher,config);
      gd.init(grA, grB, threadNumber,config);
      gd.identifyKeyPairs();
      if (!gd.fallbackToInitialPair) TestGD_ExistingGraphs.addPairsRandomly(gd,pairsToAdd);
      else Assert.assertEquals(-1.,low_to_high_ratio,Configuration.fpAccuracy);
      gd.makeSteps();
      gd.computeDifference(patcher);


      LearnerGraphND outcome = new LearnerGraphND(config);
      ChangesRecorder.applyGD_WithRelabelling(graph, patcher.writeGD(TestGD.createDoc()),outcome);
      Assert.assertNull(testDetails(),WMethod.checkM(grB,graph));
      Assert.assertEquals(testDetails(),grB.getStateNumber(),graph.getStateNumber());
      Assert.assertEquals(grB,outcome);
      
      // Cannot do checkM_and_colours here because merged vertices may change their colours and other attributes.

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  public final void testWriteAndLoad1()
  {
    LearnerGraphND graph = new LearnerGraphND(buildGraph("A-a->B-a-#C\nA-d-#D\nA-c->A","testAddTransitions4"),Configuration.getDefaultConfiguration());
    LearnerGraphND removed = new LearnerGraphND(buildGraph("A-d-#D\nB-a-#C","testRemoveTransitions1"),Configuration.getDefaultConfiguration());
    LearnerGraphND added = new LearnerGraphND(buildGraph("A-d-#E\nB-a-#C","testRemoveTransitions1"),Configuration.getDefaultConfiguration());
    ChangesRecorder patcher = new ChangesRecorder(removed,added,null);


    ChangesRecorder.applyGD(graph, patcher.writeGD(createDoc()));
    LearnerGraph expected = new LearnerGraph(buildGraph("A-a->B-a-#C\nA-d-#E\nA-c->A","testWriteAndLoad1"),Configuration.getDefaultConfiguration());
    Assert.assertNull(WMethod.checkM_and_colours(expected, graph, VERTEX_COMPARISON_KIND.DEEP));
  }

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  public final void testWriteAndLoad2()
  {
    LearnerGraphND graph = new LearnerGraphND(buildGraph("A-a->B-a-#C\nA-d-#D\nA-c->A","testAddTransitions4"),Configuration.getDefaultConfiguration());
    LearnerGraphND removed = new LearnerGraphND(buildGraph("A-d-#D\nA-a->B\nB-a-#C","testRemoveTransitions1"),Configuration.getDefaultConfiguration());
    LearnerGraphND added = new LearnerGraphND(buildGraph("A-d-#E\nB-a-#C\nB-c->B\nA-q->B","testRemoveTransitions1"),Configuration.getDefaultConfiguration());
    ChangesRecorder patcher = new ChangesRecorder(removed,added,null);


    ChangesRecorder.applyGD(graph, patcher.writeGD(createDoc()));
    LearnerGraph expected = new LearnerGraph(buildGraph("A-q->B-a-#C\nA-d-#E\nA-c->A\nB-c->B","testWriteAndLoad1"),Configuration.getDefaultConfiguration());
    Assert.assertNull(WMethod.checkM_and_colours(expected, graph, VERTEX_COMPARISON_KIND.DEEP));
  }

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  @Test
  public final void testWriteAndLoad3()
  {
    LearnerGraph graph = new LearnerGraph(buildGraph("A-a->B-a-#C\nA-d-#D\nA-c->A","testAddTransitions4"),Configuration.getDefaultConfiguration());
    ChangesRecorder patcher = new ChangesRecorder(null);
    patcher.addTransition(graph.findVertex("B"), "c", graph.findVertex("B"));
    patcher.removeTransition(graph.findVertex("A"), "a", graph.findVertex("B"));
    patcher.addTransition(graph.findVertex("A"), "q", graph.findVertex("B"));
    patcher.setInitial(graph.findVertex("A"));
    ChangesRecorder.applyGD(graph, patcher.writeGD(createDoc()));
    LearnerGraph expected = new LearnerGraph(buildGraph("A-q->B-a-#C\nA-d-#D\nA-c->A\nB-c->B","testWriteAndLoad1"),Configuration.getDefaultConfiguration());
    WMethod.checkM_and_colours(expected, graph, VERTEX_COMPARISON_KIND.DEEP);
  }

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  /** Tests that initial state has to be assigned. */
  @Test
  public final void testWriteAndLoad4()
  {
    LearnerGraph graph = new LearnerGraph(buildGraph("A-a->B-a-#C\nA-d-#D\nA-c->A","testAddTransitions4"),Configuration.getDefaultConfiguration());
    final ChangesRecorder patcher = new ChangesRecorder(null);
    patcher.addTransition(graph.findVertex("B"), "c", graph.findVertex("B"));
    patcher.removeTransition(graph.findVertex("A"), "a", graph.findVertex("B"));
    patcher.addTransition(graph.findVertex("A"), "q", graph.findVertex("B"));
    checkForCorrectException(new whatToRun() { public @Override void run() {
      patcher.writeGD(createDoc());}},
    IllegalArgumentException.class,"init state is was not defined");
  }

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  {
    LearnerGraphND graph = new LearnerGraphND(buildGraph("A-a->B-a-#C\nA-d-#D\nA-c->A\nA-a->S-a->S","testWriteAndLoad5"),Configuration.getDefaultConfiguration());
    graph.findVertex("B").setDepth(5);graph.findVertex("D").setColour(JUConstants.AMBER);
    
    graph.addToCompatibility(graph.findVertex("A"), graph.findVertex("B"),JUConstants.PAIRCOMPATIBILITY.INCOMPATIBLE);
    ChangesRecorder patcher = new ChangesRecorder(null);
    patcher.addTransition(graph.findVertex("B"), "c", graph.findVertex("B"));
    patcher.removeTransition(graph.findVertex("A"), "a", graph.findVertex("B"));
    patcher.removeFromCompatibility(graph.findVertex("B"), graph.findVertex("A"));
    patcher.addToCompatibility(graph.findVertex("B"), graph.findVertex("S"),JUConstants.PAIRCOMPATIBILITY.INCOMPATIBLE);
    patcher.addTransition(graph.findVertex("A"), "q", graph.findVertex("B"));
    patcher.setInitial(graph.findVertex("A"));
    patcher.addRelabelling(VertexID.parseID("A"), VertexID.parseID("U"));
    patcher.addRelabelling(VertexID.parseID("C"), VertexID.parseID("R"));
    
    CmpVertex danglingVertex = AbstractLearnerGraph.generateNewCmpVertex(VertexID.parseID("TEST"), cloneConfig);
    danglingVertex.setColour(JUConstants.BLUE);
    patcher.addVertex(danglingVertex);
    Configuration config = Configuration.getDefaultConfiguration().copy();config.setLearnerCloneGraph(false);
    LearnerGraphMutator<List<CmpVertex>,LearnerGraphNDCachedData> graphPatcher = new LearnerGraphMutator<List<CmpVertex>,LearnerGraphNDCachedData>(graph,config,null);
    ChangesRecorder.loadDiff(graphPatcher, patcher.writeGD(createDoc()));
    graphPatcher.removeDanglingStates();
    LearnerGraphND result = new LearnerGraphND(Configuration.getDefaultConfiguration());
    graphPatcher.relabel(result); 
    
    LearnerGraphND expected = new LearnerGraphND(buildGraph("U-q->B-a-#R\nU-d-#D\nU-c->U\nB-c->B\nU-a->S-a->S","testWriteAndLoad1"),Configuration.getDefaultConfiguration());

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      LearnerGraph grA = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, grA);addColourAndIncompatiblesRandomly(grA, new Random(0));
      LearnerGraph grB = new LearnerGraph(config);AbstractPersistence.loadGraph(fileB, grB);addColourAndIncompatiblesRandomly(grB, new Random(1));
      GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
      LearnerGraph graph = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, graph);addColourAndIncompatiblesRandomly(graph, new Random(0));
      LearnerGraph outcome = new LearnerGraph(config);
      ChangesRecorder patcher = new ChangesRecorder(null);
      //gd.computeGD(grA, grB, threadNumber, patcher,config);
      
      gd.init(grA, grB, threadNumber,config);
      gd.identifyKeyPairs();
      if (!gd.fallbackToInitialPair) addPairsRandomly(gd,pairsToAdd);
      else Assert.assertEquals(-1.,low_to_high_ratio,Configuration.fpAccuracy);
      gd.makeSteps();
      gd.computeDifference(patcher);


      ChangesRecorder.applyGD_WithRelabelling(graph, patcher.writeGD(TestGD.createDoc()),outcome);
      Assert.assertNull(testDetails(),WMethod.checkM(grB,graph));
      Assert.assertEquals(testDetails(),grB.getStateNumber(),graph.getStateNumber());
      DifferentFSMException ex= WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP);
      Assert.assertNull(testDetails()+ex,WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
      Assert.assertEquals(grB,outcome);

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      {
        LearnerGraphND loadedA1 = new LearnerGraphND(config);AbstractPersistence.loadGraph(fileA1, loadedA1);
        LearnerGraph loadedA2 = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA2, loadedA2);
        graph = LearnerGraphND.UniteTransitionMatrices(loadedA1,loadedA2);TestGD_ExistingGraphs.addColourAndTransitionsRandomly(graph, new Random(0));
      }
      ChangesRecorder patcher = new ChangesRecorder(null);
      //gd.computeGD(grA, grB, threadNumber, patcher,config);
      gd.init(grA, grB, threadNumber,config);
      gd.identifyKeyPairs();
      if (!gd.fallbackToInitialPair) TestGD_ExistingGraphs.addPairsRandomly(gd,pairsToAdd);
      else Assert.assertEquals(-1.,low_to_high_ratio,Configuration.fpAccuracy);
      gd.makeSteps();
      gd.computeDifference(patcher);


      LearnerGraphND outcome = new LearnerGraphND(config);
      ChangesRecorder.applyGD_WithRelabelling(graph, patcher.writeGD(TestGD.createDoc()),outcome);
      Assert.assertNull(testDetails(),WMethod.checkM(grB,graph));
      Assert.assertEquals(testDetails(),grB.getStateNumber(),graph.getStateNumber());
      Assert.assertEquals(grB,outcome);
      
      // Cannot do checkM_and_colours here because merged vertices may change their colours and other attributes.

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      LearnerGraph grA = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, grA);addColourAndIncompatiblesRandomly(grA, new Random(0));
      LearnerGraph grB = new LearnerGraph(config);AbstractPersistence.loadGraph(fileB, grB);addColourAndIncompatiblesRandomly(grB, new Random(1));
      GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
      LearnerGraph graph = new LearnerGraph(config);AbstractPersistence.loadGraph(fileA, graph);addColourAndIncompatiblesRandomly(graph, new Random(0));
      LearnerGraph outcome = new LearnerGraph(config);
      ChangesRecorder patcher = new ChangesRecorder(null);
      gd.computeGD(grA, grB, threadNumber, patcher,config);
      ChangesRecorder.applyGD_WithRelabelling(graph, patcher.writeGD(TestGD.createDoc()),outcome);
      Assert.assertNull(testDetails(),WMethod.checkM(grB,graph));
      Assert.assertEquals(testDetails(),grB.getStateNumber(),graph.getStateNumber());
      DifferentFSMException ex= WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP);
      Assert.assertNull(testDetails()+ex,WMethod.checkM_and_colours(grB,outcome,VERTEX_COMPARISON_KIND.DEEP));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
      Assert.assertEquals(grB,outcome);

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statechum.analysis.learning.rpnicore.TestGD

statechum.analysis.learning.rpnicore.TestGD_ExistingGraphs

statechum.analysis.learning.rpnicore.TestGD_ExistingGraphsND

statechum.analysis.learning.rpnicore.TestGD_ExistingGraphsNDUsingTestSet

statechum.analysis.learning.rpnicore.TestGD_ExistingGraphsUsingTestSet

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