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Fixing bad cast exception

tempestpy_adaptions
Tim Quatmann 4 years ago
parent
64b9c176e7
commit
5eb2bcc71f
1 changed files with 10 additions and 6 deletions
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  1. 16
      src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.cpp

16
src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.cpp
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@ -18,17 +18,17 @@ namespace storm {
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(nullptr), _exitRates(nullptr) {
// Intentionally left empty.
STORM_LOG_ASSERT(model.isNondeterministicModel() == Nondeterministic, "Template Parameter does not match model type.");
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Bdd<DdType> const& markovianStates, storm::dd::Add<DdType, ValueType> const& exitRateVector) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(&markovianStates), _exitRates(&exitRateVector) {
// Intentionally left empty.
STORM_LOG_ASSERT(model.isNondeterministicModel() == Nondeterministic, "Template Parameter does not match model type.");
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Add<DdType, ValueType> const& exitRateVector) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(nullptr), _exitRates(&exitRateVector) {
// Intentionally left empty.
STORM_LOG_ASSERT(model.isNondeterministicModel() == Nondeterministic, "Template Parameter does not match model type.");
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
@ -38,7 +38,7 @@ namespace storm {
storm::dd::Odd odd = _model.getReachableStates().createOdd();
// Translate all required components
storm::storage::SparseMatrix<ValueType> explicitTransitionMatrix;
if (_model.isNondeterministicModel()) {
if (Nondeterministic) {
explicitTransitionMatrix = _transitionMatrix.toMatrix(dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
} else {
explicitTransitionMatrix = _transitionMatrix.toMatrix(odd, odd);
@ -69,14 +69,18 @@ namespace storm {
if (rewardModel.hasStateRewards()) {
explicitStateRewards = rewardModel.getStateRewardVector().toVector(odd);
}
if (_model.isNondeterministicModel() && rewardModel.hasStateActionRewards()) {
if (Nondeterministic && rewardModel.hasStateActionRewards()) {
// Matrix and action-based vector have to be produced at the same time to guarantee the correct order
auto matrixRewards = _transitionMatrix.toMatrixVector(rewardModel.getStateActionRewardVector(), dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
explicitTransitionMatrix = std::move(matrixRewards.first);
explicitActionRewards = std::move(matrixRewards.second);
} else {
// Translate matrix only
explicitTransitionMatrix = _transitionMatrix.toMatrix(dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
if (Nondeterministic) {
explicitTransitionMatrix = _transitionMatrix.toMatrix(dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
} else {
explicitTransitionMatrix = _transitionMatrix.toMatrix(odd, odd);
}
if (rewardModel.hasStateActionRewards()) {
// For deterministic models we can translate the action rewards easily
explicitActionRewards = rewardModel.getStateActionRewardVector().toVector(odd);

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