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SymbolicToSparseModel: MDPs

tempestpy_adaptions
Sebastian Junges 8 years ago
parent
commit
e5b526b7ae
  1. 50
      src/storm/transformer/SymbolicToSparseTransformer.cpp
  2. 15
      src/storm/transformer/SymbolicToSparseTransformer.h

50
src/storm/transformer/SymbolicToSparseTransformer.cpp

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#include "SymbolicToSparseTransformer.h"
#include "storm/storage/dd/DdManager.h"
#include "storm/storage/dd/Add.h"
#include "storm/storage/dd/Bdd.h"
#include "storm/models/symbolic/StandardRewardModel.h"
#include "storm/models/sparse/StandardRewardModel.h"
namespace storm {
namespace transformer {
template<storm::dd::DdType Type, typename ValueType>
std::shared_ptr<storm::models::sparse::Mdp<ValueType>> SymbolicMdpToSparseMdpTransformer<Type, ValueType>::translate(
storm::models::symbolic::Mdp<Type, ValueType> const& symbolicMdp) {
storm::dd::Odd odd = symbolicMdp.getReachableStates().createOdd();
storm::storage::SparseMatrix<ValueType> transitionMatrix = symbolicMdp.getTransitionMatrix().toMatrix(symbolicMdp.getNondeterminismVariables(), odd, odd);
std::unordered_map<std::string, storm::models::sparse::StandardRewardModel<ValueType>> rewardModels;
for (auto const& rewardModelNameAndModel : symbolicMdp.getRewardModels()) {
boost::optional<std::vector<ValueType>> stateRewards;
boost::optional<std::vector<ValueType>> stateActionRewards;
boost::optional<storm::storage::SparseMatrix<ValueType>> transitionRewards;
if (rewardModelNameAndModel.second.hasStateRewards()) {
stateRewards = rewardModelNameAndModel.second.getStateRewardVector().toVector(odd);
}
if (rewardModelNameAndModel.second.hasStateActionRewards()) {
stateActionRewards = rewardModelNameAndModel.second.getStateActionRewardVector().toVector(odd);
}
if (rewardModelNameAndModel.second.hasTransitionRewards()) {
transitionRewards = rewardModelNameAndModel.second.getTransitionRewardMatrix().toMatrix(symbolicMdp.getNondeterminismVariables(), odd, odd);
}
rewardModels.emplace(rewardModelNameAndModel.first,storm::models::sparse::StandardRewardModel<ValueType>(stateRewards, stateActionRewards, transitionRewards));
}
storm::models::sparse::StateLabeling labelling;
labelling.addLabel("initial", symbolicMdp.getInitialStates().toVector(odd));
labelling.addLabel("deadlock", symbolicMdp.getDeadlockStates().toVector(odd));
for(auto const& label : symbolicMdp.getLabels()) {
labelling.addLabel(label, symbolicMdp.getStates(label).toVector(odd));
}
return std::make_shared<storm::models::sparse::Mdp<ValueType>>(transitionMatrix, labelling, rewardModels);
}
template class SymbolicMdpToSparseMdpTransformer<storm::dd::DdType::CUDD, double>;
template class SymbolicMdpToSparseMdpTransformer<storm::dd::DdType::Sylvan, double>;
}
}

15
src/storm/transformer/SymbolicToSparseTransformer.h

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#pragma once
#include "storm/models/sparse/Mdp.h"
#include "storm/models/symbolic/Mdp.h"
namespace storm {
namespace transformer {
template<storm::dd::DdType Type, typename ValueType>
class SymbolicMdpToSparseMdpTransformer {
public:
static std::shared_ptr<storm::models::sparse::Mdp<ValueType>> translate(storm::models::symbolic::Mdp<Type, ValueType> const& symbolicMdp);
};
}
}
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