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@ -11,6 +11,8 @@ |
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#include "storm/modelchecker/prctl/helper/DsMpiUpperRewardBoundsComputer.h"
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#include "storm/modelchecker/prctl/helper/BaierUpperRewardBoundsComputer.h"
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#include "storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectiveRewardAnalysis.h"
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#include "storm/settings/SettingsManager.h"
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#include "storm/settings/modules/CoreSettings.h"
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#include "storm/solver/MinMaxLinearEquationSolver.h"
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#include "storm/utility/graph.h"
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#include "storm/utility/macros.h"
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@ -103,6 +105,21 @@ namespace storm { |
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offsetsToUnderApproximation.resize(this->objectives.size(), storm::utility::zero<ValueType>()); |
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offsetsToOverApproximation.resize(this->objectives.size(), storm::utility::zero<ValueType>()); |
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optimalChoices.resize(transitionMatrix.getRowGroupCount(), 0); |
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// Print some statistics (if requested)
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if (storm::settings::getModule<storm::settings::modules::CoreSettings>().isShowStatisticsSet()) { |
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STORM_PRINT_AND_LOG("Weight Vector Checker Statistics:" << std::endl); |
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STORM_PRINT_AND_LOG("Final preprocessed model has " << transitionMatrix.getRowGroupCount() << " states." << std::endl); |
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STORM_PRINT_AND_LOG("Final preprocessed model has " << transitionMatrix.getRowCount() << " actions." << std::endl); |
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if (lraMecDecomposition) { |
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STORM_PRINT_AND_LOG("Found " << lraMecDecomposition->mecs.size() << " end components that are relevant for LRA-analysis." << std::endl); |
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uint64_t numLraMecStates = 0; |
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for (auto const& mec : this->lraMecDecomposition->mecs) { |
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numLraMecStates += mec.size(); |
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} |
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STORM_PRINT_AND_LOG(numLraMecStates << " states lie on such an end component." << std::endl); |
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} |
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} |
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} |
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template <class SparseModelType> |
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