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@ -47,8 +47,31 @@ namespace storm { |
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this->currentCheckTask->setHint(std::make_shared<ExplicitModelCheckerHint<ConstantType>>()); |
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this->currentCheckTask->setHint(std::make_shared<ExplicitModelCheckerHint<ConstantType>>()); |
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} |
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} |
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ExplicitModelCheckerHint<ConstantType>& hint = this->currentCheckTask->getHint().template asExplicitModelCheckerHint<ConstantType>(); |
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ExplicitModelCheckerHint<ConstantType>& hint = this->currentCheckTask->getHint().template asExplicitModelCheckerHint<ConstantType>(); |
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std::unique_ptr<CheckResult> result; |
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if (this->getInstantiationsAreGraphPreserving() && !hint.hasMaybeStates()) { |
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// Perform purely qualitative analysis once
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std::vector<ConstantType> qualitativeResult; |
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if (this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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auto newCheckTask = *this->currentCheckTask; |
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newCheckTask.setQualitative(true); |
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newCheckTask.setOnlyInitialStatesRelevant(false); |
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qualitativeResult = modelChecker.check(env, newCheckTask)->template asExplicitQuantitativeCheckResult<ConstantType>().getValueVector(); |
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} else { |
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auto newCheckTask = this->currentCheckTask->substituteFormula(this->currentCheckTask->getFormula().asOperatorFormula().getSubformula()); |
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newCheckTask.setQualitative(true); |
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newCheckTask.setOnlyInitialStatesRelevant(false); |
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qualitativeResult = modelChecker.computeProbabilities(env, newCheckTask)->template asExplicitQuantitativeCheckResult<ConstantType>().getValueVector(); |
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} |
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std::cout << storm::utility::vector::toString(qualitativeResult) << std::endl; |
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storm::storage::BitVector maybeStates = storm::utility::vector::filter<ConstantType>(qualitativeResult, |
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[] (ConstantType const& value) -> bool { return !(storm::utility::isZero<ConstantType>(value) || storm::utility::isOne<ConstantType>(value)); }); |
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std::cout <<maybeStates << std::endl; |
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hint.setMaybeStates(std::move(maybeStates)); |
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hint.setResultHint(std::move(qualitativeResult)); |
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hint.setComputeOnlyMaybeStates(true); |
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} |
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std::unique_ptr<CheckResult> result; |
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// Check the formula and store the result as a hint for the next call.
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// Check the formula and store the result as a hint for the next call.
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// For qualitative properties, we still want a quantitative result hint. Hence we perform the check on the subformula
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// For qualitative properties, we still want a quantitative result hint. Hence we perform the check on the subformula
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if (this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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if (this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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@ -65,21 +88,6 @@ namespace storm { |
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hint.setSchedulerHint(std::move(dynamic_cast<storm::storage::Scheduler<ConstantType>&>(scheduler))); |
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hint.setSchedulerHint(std::move(dynamic_cast<storm::storage::Scheduler<ConstantType>&>(scheduler))); |
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} |
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} |
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if (this->getInstantiationsAreGraphPreserving() && !hint.hasMaybeStates()) { |
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// Extract the maybe states from the current result.
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assert(hint.hasResultHint()); |
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storm::storage::BitVector maybeStates = ~storm::utility::vector::filter<ConstantType>(hint.getResultHint(), |
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[] (ConstantType const& value) -> bool { return storm::utility::isZero<ConstantType>(value) || storm::utility::isOne<ConstantType>(value); }); |
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hint.setMaybeStates(std::move(maybeStates)); |
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hint.setComputeOnlyMaybeStates(true); |
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// Check if there can be end components within the maybestates
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if (storm::solver::minimize(this->currentCheckTask->getOptimizationDirection()) || |
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storm::utility::graph::performProb1A(instantiatedModel.getTransitionMatrix(), instantiatedModel.getTransitionMatrix().getRowGroupIndices(), instantiatedModel.getBackwardTransitions(), hint.getMaybeStates(), ~hint.getMaybeStates()).full()) { |
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hint.setNoEndComponentsInMaybeStates(true); |
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} |
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} |
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return result; |
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return result; |
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} |
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} |
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@ -92,8 +100,29 @@ namespace storm { |
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this->currentCheckTask->setHint(std::make_shared<ExplicitModelCheckerHint<ConstantType>>()); |
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this->currentCheckTask->setHint(std::make_shared<ExplicitModelCheckerHint<ConstantType>>()); |
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} |
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} |
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ExplicitModelCheckerHint<ConstantType>& hint = this->currentCheckTask->getHint().template asExplicitModelCheckerHint<ConstantType>(); |
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ExplicitModelCheckerHint<ConstantType>& hint = this->currentCheckTask->getHint().template asExplicitModelCheckerHint<ConstantType>(); |
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std::unique_ptr<CheckResult> result; |
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if (this->getInstantiationsAreGraphPreserving() && !hint.hasMaybeStates()) { |
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// Perform purely qualitative analysis once
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std::vector<ConstantType> qualitativeResult; |
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if (this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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auto newCheckTask = *this->currentCheckTask; |
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newCheckTask.setQualitative(true); |
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newCheckTask.setOnlyInitialStatesRelevant(false); |
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qualitativeResult = modelChecker.check(env, newCheckTask)->template asExplicitQuantitativeCheckResult<ConstantType>().getValueVector(); |
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} else { |
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auto newCheckTask = this->currentCheckTask->substituteFormula(this->currentCheckTask->getFormula().asOperatorFormula().getSubformula()); |
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newCheckTask.setQualitative(true); |
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newCheckTask.setOnlyInitialStatesRelevant(false); |
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qualitativeResult = modelChecker.computeRewards(env, this->currentCheckTask->getFormula().asRewardOperatorFormula().getMeasureType(), newCheckTask)->template asExplicitQuantitativeCheckResult<ConstantType>().getValueVector(); |
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} |
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storm::storage::BitVector maybeStates = storm::utility::vector::filter<ConstantType>(qualitativeResult, |
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[] (ConstantType const& value) -> bool { return !(storm::utility::isZero<ConstantType>(value) || storm::utility::isInfinity<ConstantType>(value)); }); |
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hint.setMaybeStates(std::move(maybeStates)); |
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hint.setResultHint(std::move(qualitativeResult)); |
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hint.setComputeOnlyMaybeStates(true); |
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} |
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std::unique_ptr<CheckResult> result; |
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// Check the formula and store the result as a hint for the next call.
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// Check the formula and store the result as a hint for the next call.
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// For qualitative properties, we still want a quantitative result hint. Hence we perform the check on the subformula
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// For qualitative properties, we still want a quantitative result hint. Hence we perform the check on the subformula
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if(this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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if(this->currentCheckTask->getFormula().asOperatorFormula().hasQuantitativeResult()) { |
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@ -110,23 +139,6 @@ namespace storm { |
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hint.setSchedulerHint(std::move(dynamic_cast<storm::storage::Scheduler<ConstantType>&>(scheduler))); |
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hint.setSchedulerHint(std::move(dynamic_cast<storm::storage::Scheduler<ConstantType>&>(scheduler))); |
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} |
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} |
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if (this->getInstantiationsAreGraphPreserving() && !hint.hasMaybeStates()) { |
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// Extract the maybe states from the current result.
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assert(hint.hasResultHint()); |
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storm::storage::BitVector maybeStates = ~storm::utility::vector::filterInfinity(hint.getResultHint()); |
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// We need to exclude the target states from the maybe states.
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// Note that we can not consider the states with reward zero since a valuation might set a reward to zero
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std::unique_ptr<CheckResult> subFormulaResult = modelChecker.check(env, this->currentCheckTask->getFormula().asOperatorFormula().getSubformula().asEventuallyFormula().getSubformula()); |
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maybeStates = maybeStates & ~(subFormulaResult->asExplicitQualitativeCheckResult().getTruthValuesVector()); |
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hint.setMaybeStates(std::move(maybeStates)); |
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hint.setComputeOnlyMaybeStates(true); |
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// Check if there can be end components within the maybestates
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if (storm::solver::maximize(this->currentCheckTask->getOptimizationDirection()) || |
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storm::utility::graph::performProb1A(instantiatedModel.getTransitionMatrix(), instantiatedModel.getTransitionMatrix().getRowGroupIndices(), instantiatedModel.getBackwardTransitions(), hint.getMaybeStates(), ~hint.getMaybeStates()).full()) { |
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hint.setNoEndComponentsInMaybeStates(true); |
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} |
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} |
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return result; |
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return result; |
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} |
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} |
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