Examples with CompoundTheory com.sri.ai.grinder.theory.compound.CompoundTheory used on opensource projects

Example 41 with CompoundTheory

use of com.sri.ai.grinder.theory.compound.CompoundTheory in project aic-praise by aic-sri-international.

the class RandomConditionalPotentialExpressionGenerator method newTheoryTestingSupport.

private TheoryTestingSupport newTheoryTestingSupport(Random random, RandomHOGMv1Generator.TheoryTypePropositionalArgs[] propositionTheoryArgs, RandomHOGMv1Generator.TheoryTypeEqualityArgs[] equalityTheoryArgs, RandomHOGMv1Generator.TheoryTypeInequalityArgs[] inequalityTheoryArgs) {
    List<Theory> theories = new ArrayList<>();
    if (propositionTheoryArgs.length > 0) {
        theories.add(new PropositionalTheory());
    }
    if (equalityTheoryArgs.length > 0) {
        EqualityTheory equalityTheory;
        if (inequalityTheoryArgs.length == 0) {
            // first flag is 'true' because all equalities are atoms in the final theory; there is no need to check arguments type
            equalityTheory = new EqualityTheory(true, true);
        } else {
            // 'false' because not all equalities are atoms in this final theory; need to check arguments type
            equalityTheory = new EqualityTheory(false, true);
        }
        theories.add(equalityTheory);
    }
    if (inequalityTheoryArgs.length > 0) {
        DifferenceArithmeticTheory differenceArithmeticTheory;
        if (equalityTheoryArgs.length == 0) {
            // first flag is 'true' because all equalities are atoms in the final theory; there is no need to check arguments type
            differenceArithmeticTheory = new DifferenceArithmeticTheory(true, true);
        } else {
            // 'false' because not all equalities are atoms in this final theory; need to check arguments type
            differenceArithmeticTheory = new DifferenceArithmeticTheory(false, true);
        }
        theories.add(differenceArithmeticTheory);
    }
    Theory finalTheory;
    if (theories.size() > 1) {
        finalTheory = new CompoundTheory(theories.toArray(new Theory[theories.size()]));
    } else {
        finalTheory = theories.get(0);
    }
    TheoryTestingSupport result = TheoryTestingSupport.make(random, finalTheory);
    return result;
}

Example 42 with CompoundTheory

use of com.sri.ai.grinder.theory.compound.CompoundTheory in project aic-praise by aic-sri-international.

the class UAIMARSolver method main.

public static void main(String[] args) throws IOException {
    if (args.length != 4) {
        throw new IllegalArgumentException("Usage: UAIMARSolver <file or directory with UAI-format files> <solution directory> <timeout in ms> equalities|difference_arithmetic");
    }
    File uaiInput = new File(args[0]);
    if (!uaiInput.exists()) {
        throw new IllegalArgumentException("File or directory specified does not exist: " + uaiInput.getAbsolutePath());
    }
    File solutionDir = new File(args[1]);
    if (!solutionDir.exists() || !solutionDir.isDirectory()) {
        throw new IllegalArgumentException("Solution directory is invalid: " + solutionDir.getAbsolutePath());
    }
    int maxSolverTimeInSeconds = Integer.parseInt(args[2]);
    Theory theory;
    if (args[3].equals("equalities")) {
        theory = new CompoundTheory(new PropositionalTheory(), new EqualityTheory(true, true));
    } else if (args[3].equals("difference_arithmetic")) {
        theory = new CompoundTheory(new PropositionalTheory(), new DifferenceArithmeticTheory(true, true));
    } else {
        throw new IllegalArgumentException("4-th argument must be either 'equalities' or 'difference_arithmetic'");
    }
    List<UAIModel> models = new ArrayList<>();
    Map<UAIModel, File> modelToFile = new HashMap<>();
    if (uaiInput.isDirectory()) {
        for (File uaiFile : uaiInput.listFiles((dir, name) -> name.endsWith(".uai"))) {
            UAIModel model = read(uaiFile, solutionDir);
            models.add(model);
            modelToFile.put(model, uaiFile);
        }
    } else {
        UAIModel model = read(uaiInput, solutionDir);
        models.add(model);
        modelToFile.put(model, uaiInput);
    }
    // Sort based on what we consider to be the simplest to hardest
    // Collections.sort(models, (model1, model2) -> Double.compare(model1.ratioUniqueTablesToTables(), model2.ratioUniqueTablesToTables()));
    // Collections.sort(models, (model1, model2) -> Integer.compare(model1.largestNumberOfFunctionTableEntries(), model2.largestNumberOfFunctionTableEntries()));
    Collections.sort(models, (model1, model2) -> Integer.compare(model1.totalNumberEntriesForAllFunctionTables(), model2.totalNumberEntriesForAllFunctionTables()));
    // Collections.sort(models, (model1, model2) -> Integer.compare(model1.numberTables(), model2.numberTables()));
    Map<String, Boolean> modelSolvedStatus = new LinkedHashMap<>();
    Map<String, Long> modelSolvedTime = new LinkedHashMap<>();
    System.out.println("#models read=" + models.size());
    final AtomicInteger cnt = new AtomicInteger(1);
    models.stream().forEach(model -> {
        System.out.println("Starting to Solve: " + modelToFile.get(model).getName() + " (" + cnt.getAndAdd(1) + " of " + models.size() + ")");
        long start = System.currentTimeMillis();
        boolean solved = solve(model, model.getEvidence(), model.getMARSolution(), maxSolverTimeInSeconds, theory);
        long took = (System.currentTimeMillis() - start);
        System.out.println("---- Took " + took + "ms. solved=" + solved);
        modelSolvedStatus.put(modelToFile.get(model).getName(), solved);
        modelSolvedTime.put(modelToFile.get(model).getName(), took);
    });
    System.out.println("MODELS SOLVE STATUS");
    modelSolvedStatus.entrySet().stream().forEach(e -> System.out.printf("%-25s %-5b %12sms.\n", e.getKey(), e.getValue(), modelSolvedTime.get(e.getKey())));
    System.out.println("SUMMARY");
    System.out.println("#models   solved=" + modelSolvedStatus.values().stream().filter(status -> status == true).count());
    System.out.println("#models unsolved=" + modelSolvedStatus.values().stream().filter(status -> status == false).count());
}

Example 43 with CompoundTheory

use of com.sri.ai.grinder.theory.compound.CompoundTheory in project aic-praise by aic-sri-international.

the class UAIModelToExpressionFactorNetwork method convert.

public static ExpressionFactorNetwork convert(UAIModel uaiModel, Theory theory) {
    List<Expression> factorsRepresentedAsExpressions = createListOfExpressionsrepresentingTheFactorsFromAUAIModel(uaiModel);
    if (theory == null) {
        theory = new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, true), new LinearRealArithmeticTheory(false, true), new PropositionalTheory());
    }
    // Add variables in the factors to the context...
    ExpressionBasedModel factorsAndTypes = new UAI_to_ExpressionBased_Translator(factorsRepresentedAsExpressions, uaiModel);
    // Context
    Context context = fillingContext(theory, factorsAndTypes);
    ExpressionFactorNetwork result = expressionFactorNetwork(factorsRepresentedAsExpressions, context);
    return result;
}