Examples with Model com.google.cloud.automl.v1.Model used on opensource projects

Example 1 with Model

use of com.google.cloud.automl.v1.Model in project batfish by batfish.

the class Encoder method verify.

/**
 * Checks that a property is always true by seeing if the encoding is unsatisfiable. mkIf the
 * model is satisfiable, then there is a counter example to the property.
 *
 * @return A VerificationResult indicating the status of the check.
 */
public Tuple<VerificationResult, Model> verify() {
    EncoderSlice mainSlice = _slices.get(MAIN_SLICE_NAME);
    int numVariables = _allVariables.size();
    int numConstraints = _solver.getAssertions().length;
    int numNodes = mainSlice.getGraph().getConfigurations().size();
    int numEdges = 0;
    for (Map.Entry<String, Set<String>> e : mainSlice.getGraph().getNeighbors().entrySet()) {
        numEdges += e.getValue().size();
    }
    long start = System.currentTimeMillis();
    Status status = _solver.check();
    long time = System.currentTimeMillis() - start;
    VerificationStats stats = null;
    if (_question.getBenchmark()) {
        stats = new VerificationStats();
        stats.setAvgNumNodes(numNodes);
        stats.setMaxNumNodes(numNodes);
        stats.setMinNumNodes(numNodes);
        stats.setAvgNumEdges(numEdges);
        stats.setMaxNumEdges(numEdges);
        stats.setMinNumEdges(numEdges);
        stats.setAvgNumVariables(numVariables);
        stats.setMaxNumVariables(numVariables);
        stats.setMinNumVariables(numVariables);
        stats.setAvgNumConstraints(numConstraints);
        stats.setMaxNumConstraints(numConstraints);
        stats.setMinNumConstraints(numConstraints);
        stats.setAvgSolverTime(time);
        stats.setMaxSolverTime(time);
        stats.setMinSolverTime(time);
    }
    if (status == Status.UNSATISFIABLE) {
        VerificationResult res = new VerificationResult(true, null, null, null, null, null, stats);
        return new Tuple<>(res, null);
    } else if (status == Status.UNKNOWN) {
        throw new BatfishException("ERROR: satisfiability unknown");
    } else {
        VerificationResult result;
        Model m;
        while (true) {
            m = _solver.getModel();
            SortedMap<String, String> model = new TreeMap<>();
            SortedMap<String, String> packetModel = new TreeMap<>();
            SortedSet<String> fwdModel = new TreeSet<>();
            SortedMap<String, SortedMap<String, String>> envModel = new TreeMap<>();
            SortedSet<String> failures = new TreeSet<>();
            buildCounterExample(this, m, model, packetModel, fwdModel, envModel, failures);
            if (_previousEncoder != null) {
                buildCounterExample(_previousEncoder, m, model, packetModel, fwdModel, envModel, failures);
            }
            result = new VerificationResult(false, model, packetModel, envModel, fwdModel, failures, stats);
            if (!_question.getMinimize()) {
                break;
            }
            BoolExpr blocking = environmentBlockingClause(m);
            add(blocking);
            Status s = _solver.check();
            if (s == Status.UNSATISFIABLE) {
                break;
            }
            if (s == Status.UNKNOWN) {
                throw new BatfishException("ERROR: satisfiability unknown");
            }
        }
        return new Tuple<>(result, m);
    }
}

Example 2 with Model

use of com.google.cloud.automl.v1.Model in project batfish by batfish.

the class PropertyChecker method checkDeterminism.

/*
   * Check if there exist multiple stable solutions to the network.
   * If so, reports the forwarding differences between the two cases.
   */
public AnswerElement checkDeterminism(HeaderQuestion q) {
    Graph graph = new Graph(_batfish);
    Encoder enc1 = new Encoder(_settings, graph, q);
    Encoder enc2 = new Encoder(enc1, graph, q);
    enc1.computeEncoding();
    enc2.computeEncoding();
    addEnvironmentConstraints(enc1, q.getBaseEnvironmentType());
    BoolExpr relatedFailures = relateFailures(enc1, enc2);
    BoolExpr relatedEnvs = relateEnvironments(enc1, enc2);
    BoolExpr relatedPkts = relatePackets(enc1, enc2);
    BoolExpr related = enc1.mkAnd(relatedFailures, relatedEnvs, relatedPkts);
    BoolExpr required = enc1.mkTrue();
    for (GraphEdge ge : graph.getAllRealEdges()) {
        SymbolicDecisions d1 = enc1.getMainSlice().getSymbolicDecisions();
        SymbolicDecisions d2 = enc2.getMainSlice().getSymbolicDecisions();
        BoolExpr dataFwd1 = d1.getDataForwarding().get(ge.getRouter(), ge);
        BoolExpr dataFwd2 = d2.getDataForwarding().get(ge.getRouter(), ge);
        assert dataFwd1 != null;
        assert dataFwd2 != null;
        required = enc1.mkAnd(required, enc1.mkEq(dataFwd1, dataFwd2));
    }
    enc1.add(related);
    enc1.add(enc1.mkNot(required));
    Tuple<VerificationResult, Model> tup = enc1.verify();
    VerificationResult res = tup.getFirst();
    Model model = tup.getSecond();
    SortedSet<String> case1 = null;
    SortedSet<String> case2 = null;
    Flow flow = null;
    CounterExample ce = new CounterExample(model);
    if (!res.isVerified()) {
        case1 = new TreeSet<>();
        case2 = new TreeSet<>();
        flow = ce.buildFlow(enc1.getMainSlice().getSymbolicPacket(), "(none)");
        for (GraphEdge ge : graph.getAllRealEdges()) {
            SymbolicDecisions d1 = enc1.getMainSlice().getSymbolicDecisions();
            SymbolicDecisions d2 = enc2.getMainSlice().getSymbolicDecisions();
            BoolExpr dataFwd1 = d1.getDataForwarding().get(ge.getRouter(), ge);
            BoolExpr dataFwd2 = d2.getDataForwarding().get(ge.getRouter(), ge);
            assert dataFwd1 != null;
            assert dataFwd2 != null;
            boolean b1 = ce.boolVal(dataFwd1);
            boolean b2 = ce.boolVal(dataFwd2);
            if (b1 != b2) {
                if (b1) {
                    String route = ce.buildRoute(enc1.getMainSlice(), ge);
                    String msg = ge + " -- " + route;
                    case1.add(msg);
                }
                if (b2) {
                    String route = ce.buildRoute(enc2.getMainSlice(), ge);
                    String msg = ge + " -- " + route;
                    case2.add(msg);
                }
            }
        }
    }
    // Ensure canonical order
    boolean less = (case1 == null || (case1.first().compareTo(case2.first()) < 0));
    if (less) {
        return new SmtDeterminismAnswerElement(flow, case1, case2);
    } else {
        return new SmtDeterminismAnswerElement(flow, case2, case1);
    }
}

Example 3 with Model

use of com.google.cloud.automl.v1.Model in project xtext-core by eclipse.

the class Bug305397Test method testBug.

@Test
public void testBug() throws Exception {
    with(new Bug305397StandaloneSetup());
    Model model = (Model) getModel("   a element \n   element X end\n element Y end \nend");
    Element outer = model.getElements().get(0);
    Element firstInner = outer.getElements().get(0);
    ICompositeNode outerNode = NodeModelUtils.getNode(outer);
    assertEquals(3, outerNode.getOffset());
    ICompositeNode firstInnerNode = NodeModelUtils.getNode(firstInner);
    assertEquals(17, firstInnerNode.getOffset());
}

Example 4 with Model

use of com.google.cloud.automl.v1.Model in project xtext-core by eclipse.

the class Bug311337TestLanguageSemanticSequencer method sequence.

@Override
public void sequence(ISerializationContext context, EObject semanticObject) {
    EPackage epackage = semanticObject.eClass().getEPackage();
    ParserRule rule = context.getParserRule();
    Action action = context.getAssignedAction();
    Set<Parameter> parameters = context.getEnabledBooleanParameters();
    if (epackage == Bug311337Package.eINSTANCE)
        switch(semanticObject.eClass().getClassifierID()) {
            case Bug311337Package.CHILD:
                sequence_Child(context, (Child) semanticObject);
                return;
            case Bug311337Package.DEFINITION:
                sequence_Definition(context, (Definition) semanticObject);
                return;
            case Bug311337Package.MODEL:
                sequence_Model(context, (Model) semanticObject);
                return;
            case Bug311337Package.NESTED_REF:
                sequence_Reference(context, (NestedRef) semanticObject);
                return;
            case Bug311337Package.REFERENCE:
                sequence_Reference(context, (Reference) semanticObject);
                return;
        }
    if (errorAcceptor != null)
        errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context));
}

Example 5 with Model

use of com.google.cloud.automl.v1.Model in project xtext-core by eclipse.

the class Bug302128TestLanguageSemanticSequencer method sequence.

@Override
public void sequence(ISerializationContext context, EObject semanticObject) {
    EPackage epackage = semanticObject.eClass().getEPackage();
    ParserRule rule = context.getParserRule();
    Action action = context.getAssignedAction();
    Set<Parameter> parameters = context.getEnabledBooleanParameters();
    if (epackage == Bug302128Package.eINSTANCE)
        switch(semanticObject.eClass().getClassifierID()) {
            case Bug302128Package.ELEMENT:
                sequence_Element(context, (Element) semanticObject);
                return;
            case Bug302128Package.MODEL:
                sequence_Model(context, (Model) semanticObject);
                return;
        }
    if (errorAcceptor != null)
        errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context));
}