Package statechum.analysis.learning.linear.GD

Examples of statechum.analysis.learning.linear.GD.ChangesRecorder.writeGD()

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    ChangesRecorder patcher = new ChangesRecorder(null);
    patcher.addTransition(graph.findVertex("B"), AbstractLearnerGraph.generateNewLabel("c", cloneConfig,converter), graph.findVertex("B"));
    patcher.removeTransition(graph.findVertex("A"), label_a, graph.findVertex("B"));
    patcher.addTransition(graph.findVertex("A"), label_q, graph.findVertex("B"));
    patcher.setInitial(graph.findVertex("A"));
    ChangesRecorder.applyGD(graph, patcher.writeGD(createDoc()), converter);
    LearnerGraph expected = buildLearnerGraph("A-q->B-a-#C\nA-d-#D\nA-c->A\nB-c->B","testWriteAndLoad1",Configuration.getDefaultConfiguration(),converter);
    WMethod.checkM_and_colours(expected, graph, VERTEX_COMPARISON_KIND.DEEP);
  }
 
  /** Tests that initial state has to be assigned. */
 
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      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()), converter,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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      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()), converter,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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    ChangesRecorder recorder = new ChangesRecorder(null);
    gd.makeSteps();gd.computeDifference(recorder);
    //printListOfPairs(gd, allKeyPairs);
    Assert.assertEquals(expectedMatchedPairs,gd.aTOb.size());
    LearnerGraph graph = buildLearnerGraph(graphA,name+"A",configOneWay,converter);
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));
    Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  private final void testNesting(String graphA,String graphB,String name, Configuration argConfig)
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      ChangesRecorder.applyGD(graph1, gd.computeGDToXML(grA, grB, threadNumber, TestGD.createDoc(), rec9,configNesting), converter);
      Assert.assertNull(WMethod.checkM(graph1, grB));Assert.assertEquals(grB.getStateNumber(),graph1.getStateNumber());
    }
    {// check that changes propagated to rec7 are correct.
      LearnerGraph graph2 = buildLearnerGraph(graphA,name+"A",configNesting,converter);
      ChangesRecorder.applyGD(graph2, rec7.writeGD(TestGD.createDoc()), converter);
      Assert.assertNull(WMethod.checkM(graph2, grB));Assert.assertEquals(grB.getStateNumber(),graph2.getStateNumber());
    }
    {// check that changes propagated to rec4 are correct.
      LearnerGraph graph3 = buildLearnerGraph(graphA,name+"A",configNesting,converter);
      ChangesRecorder.applyGD(graph3, rec4.writeGD(TestGD.createDoc()), converter);
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    LearnerGraph grB = convertToNumerical(new LearnerGraph(configGD5b));
    ChangesRecorder recorder = new ChangesRecorder(null);
    GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
    gd.computeGD(grA, grB, threadNumber, recorder,configGD5b);
    LearnerGraph graph = new LearnerGraph(configGD5b);graph.setInit(null);graph.transitionMatrix.clear();
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  /** empty graph, with a single reject state (accept,reject). */
  @Test
 
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    LearnerGraph grB = convertToNumerical(new LearnerGraph(configGD5b));grB.getInit().setAccept(false);
    ChangesRecorder recorder = new ChangesRecorder(null);
    GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
    gd.computeGD(grA, grB, threadNumber, recorder,configGD5b);
    LearnerGraph graph = new LearnerGraph(configGD5b);graph.setInit(null);graph.transitionMatrix.clear();
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  /** empty graph, with a single reject state (accept,reject). */
  @Test
 
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    LearnerGraph grB = convertToNumerical(new LearnerGraph(configGD5));grB.getInit().setAccept(false);
    ChangesRecorder recorder = new ChangesRecorder(null);
    GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
    gd.computeGD(grA, grB, threadNumber, recorder,configGD5);
    LearnerGraph graph = new LearnerGraph(configGD5);graph.setInit(null);graph.transitionMatrix.clear();
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  /** empty graph, with a single accept state. */
  @Test
 
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    LearnerGraph grB = convertToNumerical(buildLearnerGraph(A6,"testComputeGD5b",configGD5d,converter));
    ChangesRecorder recorder = new ChangesRecorder(null);
    GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
    gd.computeGD(grA, grB, threadNumber, recorder,configGD5d);
    LearnerGraph graph = new LearnerGraph(configGD5d);graph.setInit(null);graph.transitionMatrix.clear();
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  /** empty graph, with a single accept state. */
  @Test
 
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    LearnerGraph grB = convertToNumerical(new LearnerGraph(configGD5e));grB.getInit().setAccept(false);
    ChangesRecorder recorder = new ChangesRecorder(null);
    GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData> gd = new GD<CmpVertex,CmpVertex,LearnerGraphCachedData,LearnerGraphCachedData>();
    gd.computeGD(grA, grB, threadNumber, recorder,configGD5e);
    LearnerGraph graph = buildLearnerGraph(A6,"testComputeGD5b",configGD5e,converter);
    ChangesRecorder.applyGD(graph, recorder.writeGD(TestGD.createDoc()), converter);
    Assert.assertNull(WMethod.checkM(graph, grB));Assert.assertEquals(grB.getStateNumber(),graph.getStateNumber());
  }
 
  @Test
  public final void testComputeGD6a()
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