Examples with TupleTheory com.sri.ai.grinder.theory.tuple.TupleTheory used on opensource projects

Example 21 with TupleTheory

use of com.sri.ai.grinder.theory.tuple.TupleTheory in project aic-praise by aic-sri-international.

the class AnytimeExactBPTest method runGabriels.

private void runGabriels(String[] variableAndTypes, String factorNetworkString, String queryVariableString, Expression expected) {
    Theory theory = new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, false), new LinearRealArithmeticTheory(false, false), new TupleTheory(), new PropositionalTheory());
    Context context = new TrueContext(new CommonTheory()).extendWithSymbolsAndTypes(variableAndTypes);
    ExpressionFactorNetwork factorNetwork = expressionFactorNetwork(factorNetworkString, context);
    Expression query = Expressions.parse(queryVariableString);
    // not sure it will work
    Set<Expression> setOfFactors = new HashSet<>();
    for (IdentityWrapper iw : factorNetwork.getAs()) {
        ExpressionFactor f = (ExpressionFactor) iw.getObject();
        Expression expressionFactor = f;
        boolean successfullyAdded = setOfFactors.add(expressionFactor);
        if (!successfullyAdded) {
            setOfFactors.remove(expressionFactor);
            Expression squareFactor = apply("*", expressionFactor, expressionFactor);
            squareFactor = theory.evaluate(squareFactor, context);
            setOfFactors.add(squareFactor);
        }
    }
    // create model
    Model m = new Model(setOfFactors, theory, context, false, query);
    // do all iterations until the end, storing time
    Iterator<PartitionTree> bfsExpander = new BFS(m);
    IncrementalAnytimeBeliefPropagationWithSeparatorConditioning sbp = new IncrementalAnytimeBeliefPropagationWithSeparatorConditioning(m, bfsExpander);
    long initialTime = System.currentTimeMillis();
    Bound inferenceResult = null;
    println("----------------solving with Gabriels----------------");
    while (bfsExpander.hasNext()) {
        inferenceResult = sbp.expandAndComputeInference();
        // .normalize(theory, context));
        println("Current bound on " + query + ": " + inferenceResult);
    }
    long finalTime = System.currentTimeMillis();
    Expression normalizedResult = inferenceResult.normalize(theory, context);
    normalizedResult = ((IntensionalSet) normalizedResult).getHead();
    Expression normalizedexpected = PRAiSEUtil.normalize(query, expected, context);
    println("Result factor: " + ((IntensionalSet) inferenceResult).getHead());
    println("Normalized   : " + normalizedResult);
    // print the way it is done above
    println("Time: " + (finalTime - initialTime) + " ms.");
    println(normalizedexpected.equals(normalizedResult) ? "Correct!" : "Error!");
    Expression test = parse("(" + normalizedResult + ") = (" + normalizedexpected + ")");
    Expression testResult = context.evaluate(test);
    assertEquals(TRUE, testResult);
}