use of com.sri.ai.grinder.sgdpllt.api.StepSolver 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);
}
use of com.sri.ai.grinder.sgdpllt.api.StepSolver 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);
}
use of com.sri.ai.grinder.sgdpllt.api.StepSolver in project aic-expresso by aic-sri-international.
the class UnificationStepSolver method step.
@Override
public StepSolver.Step<Boolean> step(Context context) {
StepSolver.Step<Boolean> result = null;
if (precomputedResult != null) {
result = precomputedResult;
} else {
List<Integer> stepUnknownSolutionIndexesForUnificationEqualities = new ArrayList<>(unknownSolutionIndexesForUnificationEqualities);
List<Integer> stepFoundSolutions = new ArrayList<>();
for (Integer unknownSolutionIndex : stepUnknownSolutionIndexesForUnificationEqualities) {
Expression equality = unificationEqualitiesToTest.get(unknownSolutionIndex);
ExpressionLiteralSplitterStepSolver evaluatorStepSolver = context.getTheory().makeEvaluatorStepSolver(equality);
Expression equalityResult = evaluatorStepSolver.solve(context);
if (equalityResult.equals(TRUE)) {
stepFoundSolutions.add(unknownSolutionIndex);
} else if (equalityResult.equals(FALSE)) {
// Can't unify
result = new StepSolver.Solution<>(Boolean.FALSE);
break;
} else {
// Solution to unification equality still unknown
}
}
if (result == null) {
stepUnknownSolutionIndexesForUnificationEqualities.removeAll(stepFoundSolutions);
if (stepUnknownSolutionIndexesForUnificationEqualities.size() == 0) {
// No more unknown solutions and this means all of them were true if we got to here
result = new StepSolver.Solution<>(Boolean.TRUE);
} else {
// We still have unknown equality unifications, so will split on the first unknown
// of these equalities
Integer firstUnknownUnificationEqualityIndex = stepUnknownSolutionIndexesForUnificationEqualities.get(0);
Expression unknownUnificationEqualityToSplitOn = unificationEqualitiesToTest.get(firstUnknownUnificationEqualityIndex);
StepSolver<Boolean> ifTrue;
if (stepUnknownSolutionIndexesForUnificationEqualities.size() == 1) {
// If there is only 1 unknown unification equality remaining, then on the true branch
// we know the unification will result in true, so just return that known up front.
ifTrue = new ConstantStepSolver<>(Boolean.TRUE);
} else {
ifTrue = this.clone();
((UnificationStepSolver) ifTrue).unknownSolutionIndexesForUnificationEqualities = new ArrayList<>(stepUnknownSolutionIndexesForUnificationEqualities);
}
StepSolver<Boolean> ifFalse = new ConstantStepSolver<>(Boolean.FALSE);
ContextSplitting contextSplitting = null;
// information for the literal.
if (context.getTheory().isLiteralOrBooleanConstant(unknownUnificationEqualityToSplitOn, context)) {
contextSplitting = new ContextSplitting(unknownUnificationEqualityToSplitOn, context);
}
result = new StepSolver.ItDependsOn<>(unknownUnificationEqualityToSplitOn, contextSplitting, ifTrue, ifFalse);
}
}
}
return result;
}
use of com.sri.ai.grinder.sgdpllt.api.StepSolver in project aic-expresso by aic-sri-international.
the class UnificationStepSolverTest method propositionalTest.
@Test
public void propositionalTest() {
TheoryTestingSupport theoryTestingSupport = TheoryTestingSupport.make(seededRandom, new PropositionalTheory());
// NOTE: passing explicit FunctionTypes will prevent the general variables' argument types being randomly changed.
theoryTestingSupport.setVariableNamesAndTypesForTesting(map("P", BOOLEAN_TYPE, "Q", BOOLEAN_TYPE, "R", BOOLEAN_TYPE, "unary_prop/1", new FunctionType(BOOLEAN_TYPE, BOOLEAN_TYPE), "binary_prop/2", new FunctionType(BOOLEAN_TYPE, BOOLEAN_TYPE, BOOLEAN_TYPE)));
Context rootContext = theoryTestingSupport.makeContextWithTestingInformation();
UnificationStepSolver unificationStepSolver = new UnificationStepSolver(parse("unary_prop(P)"), parse("unary_prop(P)"));
StepSolver.Step<Boolean> step = unificationStepSolver.step(rootContext);
Assert.assertEquals(false, step.itDepends());
Assert.assertEquals(true, step.getValue());
unificationStepSolver = new UnificationStepSolver(parse("unary_prop(P)"), parse("unary_prop(Q)"));
step = unificationStepSolver.step(rootContext);
Assert.assertEquals(true, step.itDepends());
Assert.assertEquals(Expressions.parse("P = Q"), step.getSplitter());
Assert.assertEquals(false, step.getStepSolverForWhenSplitterIsTrue().step(rootContext).itDepends());
Assert.assertEquals(true, step.getStepSolverForWhenSplitterIsTrue().step(rootContext).getValue());
Assert.assertEquals(false, step.getStepSolverForWhenSplitterIsFalse().step(rootContext).itDepends());
Assert.assertEquals(false, step.getStepSolverForWhenSplitterIsFalse().step(rootContext).getValue());
Context localTestContext = rootContext.conjoinWithConjunctiveClause(parse("P and not Q"), rootContext);
step = unificationStepSolver.step(localTestContext);
Assert.assertEquals(false, step.itDepends());
Assert.assertEquals(false, step.getValue());
unificationStepSolver = new UnificationStepSolver(parse("unary_prop(P)"), parse("unary_prop(true)"));
localTestContext = rootContext.conjoinWithConjunctiveClause(parse("P"), rootContext);
step = unificationStepSolver.step(localTestContext);
Assert.assertEquals(false, step.itDepends());
Assert.assertEquals(true, step.getValue());
localTestContext = rootContext.conjoinWithConjunctiveClause(parse("not P"), rootContext);
step = unificationStepSolver.step(localTestContext);
Assert.assertEquals(false, step.itDepends());
Assert.assertEquals(false, step.getValue());
unificationStepSolver = new UnificationStepSolver(parse("binary_prop(P, unary_prop(P))"), parse("binary_prop(unary_prop(Q), Q)"));
step = unificationStepSolver.step(rootContext);
Assert.assertEquals(true, step.itDepends());
Assert.assertEquals(Expressions.parse("P = unary_prop(Q)"), step.getSplitter());
// Ignore: PropositionalTheory will only deal with symbol variables for now
// localTestContext = rootContext.conjoinWithConjunctiveClause(parse("not P and Q and not unary_prop(Q) and unary_prop(P)"), rootContext);
// step = unificationStepSolver.step(localTestContext);
// Assert.assertEquals(false, step.itDepends());
// Assert.assertEquals(true, step.getValue());
// localTestContext = rootContext.conjoinWithConjunctiveClause(parse("P and Q and not unary_prop(Q) and unary_prop(P)"), rootContext);
// step = unificationStepSolver.step(localTestContext);
// Assert.assertEquals(false, step.itDepends());
// Assert.assertEquals(false, step.getValue());
// Now test out individual branches
unificationStepSolver = new UnificationStepSolver(parse("binary_prop(P, unary_prop(P))"), parse("binary_prop(unary_prop(Q), Q)"));
step = unificationStepSolver.step(rootContext);
Assert.assertEquals(true, step.itDepends());
Assert.assertEquals(parse("P = unary_prop(Q)"), step.getSplitter());
StepSolver<Boolean> falseItDependsSolver = step.getStepSolverForWhenSplitterIsFalse();
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).itDepends());
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).getValue());
StepSolver<Boolean> trueItDependsSolver = step.getStepSolverForWhenSplitterIsTrue();
localTestContext = rootContext.conjoin(parse("P"), rootContext);
step = trueItDependsSolver.step(localTestContext);
Assert.assertEquals(true, step.itDepends());
Assert.assertEquals(parse("P = unary_prop(Q)"), step.getSplitter());
falseItDependsSolver = step.getStepSolverForWhenSplitterIsFalse();
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).itDepends());
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).getValue());
// Ignore: PropositionalTheory will only deal with symbol variables for now
// localTestContext = localTestContext.conjoin(parse("unary_prop(Q)"), localTestContext);
// step = trueItDependsSolver.step(localTestContext);
// Assert.assertEquals(true, step.itDepends());
// Assert.assertEquals(parse("unary_prop(P) = Q"), step.getSplitter());
falseItDependsSolver = step.getStepSolverForWhenSplitterIsFalse();
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).itDepends());
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).getValue());
// Ignore: PropositionalTheory will only deal with symbol variables for now
// localTestContext = localTestContext.conjoin(parse("unary_prop(P)"), localTestContext);
// step = trueItDependsSolver.step(localTestContext);
// Assert.assertEquals(true, step.itDepends());
// Assert.assertEquals(parse("unary_prop(P) = Q"), step.getSplitter());
falseItDependsSolver = step.getStepSolverForWhenSplitterIsFalse();
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).itDepends());
Assert.assertEquals(false, falseItDependsSolver.step(rootContext).getValue());
// Ignore: PropositionalTheory will only deal with symbol variables for now
// localTestContext = localTestContext.conjoin(parse("Q"), localTestContext);
// step = trueItDependsSolver.step(localTestContext);
// Assert.assertEquals(false, step.itDepends());
// Assert.assertEquals(true, step.getValue());
}
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