Examples with ConstantExpressionStepSolver com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver used on opensource projects

Example 1 with ConstantExpressionStepSolver

use of com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver in project aic-expresso by aic-sri-international.

the class AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver method solutionIfPropagatedLiteralsAndSplittersCNFAreSatisfied.

@Override
protected Step solutionIfPropagatedLiteralsAndSplittersCNFAreSatisfied(Context context) {
    Expression solutionExpression;
    // sequelBase keeps track of updates to non-splitting sub-step solvers so far.
    // When a splitting sub-step solver is found, it is used as a basis
    // for the sequel step solvers.
    // The reason we keep this clone, that is itself cloned later,
    // as opposed to updating and cloning "this" every time,
    // is that step solvers must not be modified by their method "step",
    // unless they are caching context-independent information.
    // sequelBase serves as a blackboard for all the updates learned while executing this method,
    // which then don't need to be kept by "this".
    // These updates are then cloned into the sequel step solvers.
    AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver sequelBase = clone();
    if (getConstraint().getPropagateAllLiteralsWhenVariableIsBound() && !getEquals().isEmpty()) {
        solutionExpression = getSolutionExpressionForBoundVariable();
    } else {
        ExpressionLiteralSplitterStepSolver maximumLowerBoundStepSolver;
        if (initialMaximumLowerBoundStepSolver == null) {
            maximumLowerBoundStepSolver = new MaximumExpressionStepSolver(getLowerBoundsIncludingImplicitOnes(context), // use total order <
            LESS_THAN_SYMBOL, MINUS_INFINITY, // at first, I placed the type minimum and maximum strict lower bounds here. This is incorrect because if the type maximum is, say, 4, and I have "X > 3 and X > I" (3 is the maximum strict lower bounds for values in the type), the step solver short-circuits and returns 3, without ever even looking at I. Looking at I is needed because if I is greater than 3 than this constraint is unsatisfiable.
            INFINITY);
        } else {
            maximumLowerBoundStepSolver = initialMaximumLowerBoundStepSolver;
        }
        ExpressionLiteralSplitterStepSolver.Step maximumLowerBoundStep = maximumLowerBoundStepSolver.step(context);
        if (maximumLowerBoundStep.itDepends()) {
            AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
            ifTrue.initialMaximumLowerBoundStepSolver = maximumLowerBoundStep.getStepSolverForWhenSplitterIsTrue();
            AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
            ifFalse.initialMaximumLowerBoundStepSolver = maximumLowerBoundStep.getStepSolverForWhenSplitterIsFalse();
            ItDependsOn result = new ItDependsOn(maximumLowerBoundStep.getSplitterLiteral(), maximumLowerBoundStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
            return result;
        }
        Expression maximumLowerBound = maximumLowerBoundStep.getValue();
        sequelBase.initialMaximumLowerBoundStepSolver = new ConstantExpressionStepSolver(maximumLowerBound);
        ExpressionLiteralSplitterStepSolver minimumUpperBoundStepSolver;
        if (initialMinimumUpperBoundStepSolver == null) {
            minimumUpperBoundStepSolver = new MaximumExpressionStepSolver(getUpperBoundsIncludingImplicitOnes(context), // use total order > since "minimum" is maximum under it
            GREATER_THAN_SYMBOL, // "minimum" is maximum value because we are operating on the inverse order
            INFINITY, // "maximum" is minimum value because we are operating on the inverse order
            MINUS_INFINITY);
        } else {
            minimumUpperBoundStepSolver = initialMinimumUpperBoundStepSolver;
        }
        ExpressionLiteralSplitterStepSolver.Step minimumUpperBoundStep = minimumUpperBoundStepSolver.step(context);
        if (minimumUpperBoundStep.itDepends()) {
            AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
            ifTrue.initialMinimumUpperBoundStepSolver = minimumUpperBoundStep.getStepSolverForWhenSplitterIsTrue();
            AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
            ifFalse.initialMinimumUpperBoundStepSolver = minimumUpperBoundStep.getStepSolverForWhenSplitterIsFalse();
            ItDependsOn result = new ItDependsOn(minimumUpperBoundStep.getSplitterLiteral(), minimumUpperBoundStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
            return result;
        }
        Expression minimumUpperBound = minimumUpperBoundStep.getValue();
        sequelBase.initialMinimumUpperBoundStepSolver = new ConstantExpressionStepSolver(minimumUpperBound);
        if (unboundedVariableProducesShortCircuitSolution() && (maximumLowerBound.equals(MINUS_INFINITY) || minimumUpperBound.equals(INFINITY))) {
            solutionExpression = getSolutionExpressionForUnboundedVariables();
        } else {
            StepSolver<Boolean> boundedSpaceIsNotEmptyStepSolver;
            if (initialBoundedSpaceIsNotEmptyStepSolver == null) {
                Expression boundedSpaceIsNotEmpty = makeLiteralCheckingWhetherThereAreAnyValuesWithinBounds(maximumLowerBound, minimumUpperBound, context);
                boundedSpaceIsNotEmptyStepSolver = new LiteralStepSolver(boundedSpaceIsNotEmpty);
            } else {
                boundedSpaceIsNotEmptyStepSolver = initialBoundedSpaceIsNotEmptyStepSolver;
            }
            StepSolver.Step<Boolean> lowerBoundIsLessThanUpperBoundStep = boundedSpaceIsNotEmptyStepSolver.step(context);
            if (lowerBoundIsLessThanUpperBoundStep.itDepends()) {
                AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
                ifTrue.initialBoundedSpaceIsNotEmptyStepSolver = lowerBoundIsLessThanUpperBoundStep.getStepSolverForWhenSplitterIsTrue();
                AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
                ifFalse.initialBoundedSpaceIsNotEmptyStepSolver = lowerBoundIsLessThanUpperBoundStep.getStepSolverForWhenSplitterIsFalse();
                ItDependsOn result = new ItDependsOn(lowerBoundIsLessThanUpperBoundStep.getSplitter(), lowerBoundIsLessThanUpperBoundStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
                return result;
            }
            if (!lowerBoundIsLessThanUpperBoundStep.getValue()) {
                return new Solution(getSolutionExpressionGivenContradiction());
            }
            // else, bounds difference is positive and we can move on
            sequelBase.initialBoundedSpaceIsNotEmptyStepSolver = new ConstantStepSolver<Boolean>(true);
            Step result = getSolutionStepAfterBoundsAreCheckedForFeasibility(maximumLowerBound, minimumUpperBound, sequelBase, context);
            return result;
        }
    }
    return new Solution(solutionExpression);
}

Example 2 with ConstantExpressionStepSolver

use of com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver in project aic-expresso by aic-sri-international.

the class AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver method getSolutionStepAfterBoundsAreCheckedForFeasibility.

@Override
protected Step getSolutionStepAfterBoundsAreCheckedForFeasibility(Expression maximumLowerBound, Expression minimumUpperBound, AbstractSingleVariableNumericConstraintFeasibilityRegionStepSolver sequelBaseAsNumericStepSolver, Context context) {
    AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver sequelBase = (AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver) sequelBaseAsNumericStepSolver;
    StepSolver<List<Expression>> disequalsGreaterThanMaximumLowerBoundStepSolver;
    if (initialDisequalsGreaterThanMaximumLowerBoundStepSolver == null) {
        disequalsGreaterThanMaximumLowerBoundStepSolver = new SelectExpressionsSatisfyingComparisonStepSolver(getDisequals(), GREATER_THAN, // relies on this class's enforcing of all lower bounds being strict
        maximumLowerBound);
    } else {
        disequalsGreaterThanMaximumLowerBoundStepSolver = initialDisequalsGreaterThanMaximumLowerBoundStepSolver;
    }
    StepSolver.Step<List<Expression>> disequalsGreaterThanGreatestStrictLowerBoundStep = disequalsGreaterThanMaximumLowerBoundStepSolver.step(context);
    if (disequalsGreaterThanGreatestStrictLowerBoundStep.itDepends()) {
        AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
        ifTrue.initialDisequalsGreaterThanMaximumLowerBoundStepSolver = disequalsGreaterThanGreatestStrictLowerBoundStep.getStepSolverForWhenSplitterIsTrue();
        AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
        ifFalse.initialDisequalsGreaterThanMaximumLowerBoundStepSolver = disequalsGreaterThanGreatestStrictLowerBoundStep.getStepSolverForWhenSplitterIsFalse();
        ItDependsOn result = new ItDependsOn(disequalsGreaterThanGreatestStrictLowerBoundStep.getSplitter(), disequalsGreaterThanGreatestStrictLowerBoundStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
        return result;
    }
    List<Expression> disequalsGreaterThanGreatestStrictLowerBound = disequalsGreaterThanGreatestStrictLowerBoundStep.getValue();
    sequelBase.initialDisequalsGreaterThanMaximumLowerBoundStepSolver = new ConstantStepSolver<List<Expression>>(disequalsGreaterThanGreatestStrictLowerBound);
    StepSolver<List<Expression>> disequalsWithinBoundsStepSolver;
    if (initialDisequalsWithinBoundsStepSolver == null) {
        disequalsWithinBoundsStepSolver = new SelectExpressionsSatisfyingComparisonStepSolver(disequalsGreaterThanGreatestStrictLowerBound, LESS_THAN_OR_EQUAL_TO, // relies on this class's enforcing of all upper bounds being non-strict
        minimumUpperBound);
    } else {
        disequalsWithinBoundsStepSolver = initialDisequalsWithinBoundsStepSolver;
    }
    StepSolver.Step<List<Expression>> disequalsWithinBoundsStep = disequalsWithinBoundsStepSolver.step(context);
    if (disequalsWithinBoundsStep.itDepends()) {
        AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
        ifTrue.initialDisequalsWithinBoundsStepSolver = disequalsWithinBoundsStep.getStepSolverForWhenSplitterIsTrue();
        AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
        ifFalse.initialDisequalsWithinBoundsStepSolver = disequalsWithinBoundsStep.getStepSolverForWhenSplitterIsFalse();
        ItDependsOn result = new ItDependsOn(disequalsWithinBoundsStep.getSplitter(), disequalsWithinBoundsStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
        return result;
    }
    ArrayList<Expression> disequalsWithinBounds = new ArrayList<>(disequalsWithinBoundsStep.getValue());
    sequelBase.initialDisequalsWithinBoundsStepSolver = new ConstantStepSolver<List<Expression>>(disequalsWithinBounds);
    Expression boundsDifference = applyAndSimplify(MINUS, arrayList(minimumUpperBound, maximumLowerBound), context);
    // the goal of the upcoming 'if' is to define the values for these two next declared variables:
    boolean weKnowThatNumberOfDistinctDisequalsExceedsNumberOfValuesWithinBounds;
    // if true, number of distinct disequals exceeds number of values within bounds;
    // if false, that may be true or false, we don't know.
    DistinctExpressionsStepSolver distinctExpressionsStepSolver;
    if (isNumber(boundsDifference)) {
        ExpressionLiteralSplitterStepSolver numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver;
        if (initialNumberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver == null) {
            numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver = new NumberOfDistinctExpressionsIsLessThanStepSolver(boundsDifference.intValue(), disequalsWithinBounds);
        } else {
            numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver = initialNumberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver;
        }
        ExpressionLiteralSplitterStepSolver.Step numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep = numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver.step(context);
        if (numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.itDepends()) {
            AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
            ifTrue.initialNumberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver = numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.getStepSolverForWhenSplitterIsTrue();
            AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
            ifFalse.initialNumberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver = numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.getStepSolverForWhenSplitterIsFalse();
            ItDependsOn result = new ItDependsOn(numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.getSplitterLiteral(), numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
            return result;
        }
        Expression numberOfDistinctDisequalsIsLessThanBoundsDifference = numberOfDistinctDisequalsIsLessThanBoundsDifferenceStep.getValue();
        sequelBase.initialNumberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver = new ConstantExpressionStepSolver(numberOfDistinctDisequalsIsLessThanBoundsDifference);
        weKnowThatNumberOfDistinctDisequalsExceedsNumberOfValuesWithinBounds = numberOfDistinctDisequalsIsLessThanBoundsDifference.equals(FALSE);
        if (initialDistinctDisequalsStepSolver == null) {
            // if initialDistinctDisequalsStepSolver has not been set yet, it is because the predecessor of this step solver did not get to the point of using distinctExpressionsStepSolver; this means numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver is not a ConstantExpressionStepSolver (if it were, then the predecessor would have proceeded to use distinctExpressionsStepSolver), so it must be a NumberOfDistinctExpressionsIsLessThanStepSolver.
            distinctExpressionsStepSolver = ((NumberOfDistinctExpressionsIsLessThanStepSolver) numberOfDistinctDisequalsIsLessThanBoundsDifferenceStepSolver).getDistinctExpressionsStepSolver();
        } else {
            distinctExpressionsStepSolver = initialDistinctDisequalsStepSolver;
        }
    } else {
        weKnowThatNumberOfDistinctDisequalsExceedsNumberOfValuesWithinBounds = false;
        if (initialDistinctDisequalsStepSolver == null) {
            distinctExpressionsStepSolver = new DistinctExpressionsStepSolver(disequalsWithinBounds);
        } else {
            distinctExpressionsStepSolver = initialDistinctDisequalsStepSolver;
        }
    }
    Expression solutionExpression;
    if (weKnowThatNumberOfDistinctDisequalsExceedsNumberOfValuesWithinBounds) {
        // there are no available values left
        solutionExpression = getSolutionExpressionGivenContradiction();
    } else if (!getEquals().isEmpty()) {
        // if bound to a value
        solutionExpression = getSolutionExpressionForBoundVariable();
    } else {
        Step distinctDisequalsStep = distinctExpressionsStepSolver.step(context);
        if (distinctDisequalsStep.itDepends()) {
            AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifTrue = makeSequelStepSolver(sequelBase);
            ifTrue.initialDistinctDisequalsStepSolver = (DistinctExpressionsStepSolver) distinctDisequalsStep.getStepSolverForWhenSplitterIsTrue();
            AbstractSingleVariableDifferenceArithmeticConstraintFeasibilityRegionStepSolver ifFalse = makeSequelStepSolver(sequelBase);
            ifFalse.initialDistinctDisequalsStepSolver = (DistinctExpressionsStepSolver) distinctDisequalsStep.getStepSolverForWhenSplitterIsFalse();
            ItDependsOn result = new ItDependsOn(distinctDisequalsStep.getSplitterLiteral(), distinctDisequalsStep.getContextSplittingWhenSplitterIsLiteral(), ifTrue, ifFalse);
            return result;
        }
        Expression distinctDisequalsExtensionalUniSet = distinctDisequalsStep.getValue();
        solutionExpression = getSolutionExpressionGivenBoundsAndDistinctDisequals(maximumLowerBound, minimumUpperBound, boundsDifference, distinctDisequalsExtensionalUniSet, context);
    }
    return new Solution(solutionExpression);
}

Example 3 with ConstantExpressionStepSolver

use of com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver in project aic-expresso by aic-sri-international.

the class BruteForceFunctionTheory method getSingleVariableConstraintQuantifierEliminatorStepSolver.

@Override
public ExpressionLiteralSplitterStepSolver getSingleVariableConstraintQuantifierEliminatorStepSolver(AssociativeCommutativeGroup group, SingleVariableConstraint constraint, Expression body, Context context) {
    Expression variable = constraint.getVariable();
    Expression type = GrinderUtil.getTypeExpression(variable, context);
    Expression indexExpression = IndexExpressions.makeIndexExpression(variable, type);
    ExtensionalIndexExpressionsSet indexExpressionsSet = new ExtensionalIndexExpressionsSet(indexExpression);
    MultiIndexQuantifierEliminator quantifierEliminator = new BruteForceMultiIndexQuantifierEliminator(context.getTheory().getTopRewriter());
    Expression solution = quantifierEliminator.solve(group, indexExpressionsSet, constraint, body, context);
    return new ConstantExpressionStepSolver(solution);
}

Example 4 with ConstantExpressionStepSolver

use of com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver in project aic-expresso by aic-sri-international.

the class RecursiveTest method testConditionalRecursiveRewriter.

@Test
public void testConditionalRecursiveRewriter() {
    Expression xIs0 = parse("XIs0");
    RewriterFromStepMaker rewriter = (Expression e, Context c) -> {
        if (Expressions.isNumber(e)) {
            return new Solution(DefaultSymbol.createSymbol(e.intValue() + 1));
        } else if (e.equals(parse("X"))) {
            ContextSplitting splitting = new ContextSplitting(xIs0, c);
            switch(splitting.getResult()) {
                case LITERAL_IS_TRUE:
                    return new Solution(ZERO);
                case LITERAL_IS_FALSE:
                    return new Solution(ONE);
                case LITERAL_IS_UNDEFINED:
                    return new ItDependsOn(xIs0, splitting, new ConstantExpressionStepSolver(ZERO), new ConstantExpressionStepSolver(ONE));
                default:
                    throw new Error("Unpredicted case.");
            }
        }
        return new Solution(e);
    };
    Expression initial;
    Expression expected;
    initial = parse("X");
    expected = parse("if " + xIs0 + " then 0 else 1");
    runTest(rewriter, initial, expected, map(xIs0, parse("Boolean")));
    initial = parse("f(9,g(X,7,6))");
    expected = parse("if " + xIs0 + " then f(10,g(0,8,7)) else f(10,g(1,8,7))");
    runTest(rewriter, initial, expected, map(xIs0, parse("Boolean")));
    initial = parse("X(9,g(h(1,2,X),X,7,6))");
    expected = parse("if " + xIs0 + " then 0(10,g(h(2,3,0),0,8,7)) else 1(10,g(h(2,3,1),1,8,7))");
    runTest(rewriter, initial, expected, map(xIs0, parse("Boolean")));
}

Example 5 with ConstantExpressionStepSolver

use of com.sri.ai.grinder.sgdpllt.theory.base.ConstantExpressionStepSolver in project aic-expresso by aic-sri-international.

the class Switch method makeStepSolver.

@Override
public ExpressionLiteralSplitterStepSolver makeStepSolver(Expression expression) {
    ExpressionLiteralSplitterStepSolver result;
    T key = keyMaker.apply(expression);
    Rewriter baseRewriter = fromKeyToRewriter.get(key);
    if (baseRewriter != null) {
        result = baseRewriter.makeStepSolver(expression);
    } else {
        result = new ConstantExpressionStepSolver(expression);
    }
    return result;
}