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355 lines
17 KiB
355 lines
17 KiB
#ifndef STORM_MODELS_SPARSE_MODEL_H_
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#define STORM_MODELS_SPARSE_MODEL_H_
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#include <vector>
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#include <unordered_map>
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#include <boost/container/flat_set.hpp>
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#include <boost/optional.hpp>
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#include "src/models/ModelBase.h"
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#include "src/models/sparse/StateLabeling.h"
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#include "src/storage/sparse/StateType.h"
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#include "src/storage/SparseMatrix.h"
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#include "src/utility/OsDetection.h"
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namespace storm {
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namespace storage {
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class BitVector;
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}
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namespace models {
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namespace sparse {
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// The type used for storing a set of labels.
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typedef boost::container::flat_set<uint_fast64_t> LabelSet;
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template<typename ValueType>
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class StandardRewardModel;
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/*!
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* Base class for all sparse models.
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*/
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template<class CValueType, class CRewardModelType = StandardRewardModel<CValueType>>
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class Model : public storm::models::ModelBase {
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public:
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typedef CValueType ValueType;
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typedef CRewardModelType RewardModelType;
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Model(Model<ValueType, RewardModelType> const& other) = default;
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Model& operator=(Model<ValueType, RewardModelType> const& other) = default;
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#ifndef WINDOWS
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Model(Model<ValueType, RewardModelType>&& other) = default;
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Model& operator=(Model<ValueType, RewardModelType>&& other) = default;
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#endif
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/*!
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* Constructs a model from the given data.
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*
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* @param modelType The type of the model.
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* @param transitionMatrix The matrix representing the transitions in the model.
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* @param stateLabeling The labeling of the states.
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* @param rewardModels A mapping of reward model names to reward models.
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* @param optionalChoiceLabeling A vector that represents the labels associated with the choices of each state.
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*/
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Model(storm::models::ModelType const& modelType,
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storm::storage::SparseMatrix<ValueType> const& transitionMatrix,
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storm::models::sparse::StateLabeling const& stateLabeling,
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std::unordered_map<std::string, RewardModelType> const& rewardModels = std::unordered_map<std::string, RewardModelType>(),
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boost::optional<std::vector<LabelSet>> const& optionalChoiceLabeling = boost::optional<std::vector<LabelSet>>());
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/*!
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* Constructs a model by moving the given data.
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*
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* @param modelType The type of the model.
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* @param transitionMatrix The matrix representing the transitions in the model.
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* @param stateLabeling The labeling of the states.
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* @param rewardModels A mapping of reward model names to reward models.
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* @param optionalChoiceLabeling A vector that represents the labels associated with the choices of each state.
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*/
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Model(storm::models::ModelType const& modelType,
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storm::storage::SparseMatrix<ValueType>&& transitionMatrix,
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storm::models::sparse::StateLabeling&& stateLabeling,
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std::unordered_map<std::string, RewardModelType>&& rewardModels = std::unordered_map<std::string, RewardModelType>(),
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boost::optional<std::vector<LabelSet>>&& optionalChoiceLabeling = boost::optional<std::vector<LabelSet>>());
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/*!
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* Retrieves the backward transition relation of the model, i.e. a set of transitions between states
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* that correspond to the reversed transition relation of this model.
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*
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* @return A sparse matrix that represents the backward transitions of this model.
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*/
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storm::storage::SparseMatrix<ValueType> getBackwardTransitions() const;
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/*!
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* Returns an object representing the matrix rows associated with the given state.
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*
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* @param state The state for which to retrieve the rows.
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* @return An object representing the matrix rows associated with the given state.
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*/
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virtual typename storm::storage::SparseMatrix<ValueType>::const_rows getRows(storm::storage::sparse::state_type state) const;
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/*!
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* Returns the number of states of the model.
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*
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* @return The number of states of the model.
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*/
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virtual uint_fast64_t getNumberOfStates() const override;
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/*!
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* Returns the number of (non-zero) transitions of the model.
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*
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* @return The number of (non-zero) transitions of the model.
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*/
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virtual uint_fast64_t getNumberOfTransitions() const override;
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/*!
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* Retrieves the initial states of the model.
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*
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* @return The initial states of the model represented by a bit vector.
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*/
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storm::storage::BitVector const& getInitialStates() const;
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/*!
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* Returns the sets of states labeled with the given label.
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*
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* @param label The label for which to get the labeled states.
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* @return The set of states labeled with the requested label in the form of a bit vector.
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*/
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storm::storage::BitVector const& getStates(std::string const& label) const;
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/*!
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* Retrieves whether the given label is a valid label in this model.
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*
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* @param label The label to be checked for validity.
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* @return True if the given label is valid in this model.
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*/
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bool hasLabel(std::string const& label) const;
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/*!
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* Retrieves the matrix representing the transitions of the model.
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*
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* @return A matrix representing the transitions of the model.
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*/
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storm::storage::SparseMatrix<ValueType> const& getTransitionMatrix() const;
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/*!
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* Retrieves the matrix representing the transitions of the model.
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*
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* @return A matrix representing the transitions of the model.
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*/
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storm::storage::SparseMatrix<ValueType>& getTransitionMatrix();
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/*!
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* Retrieves the reward models.
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*
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* @return A mapping from reward model names to the reward models.
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*/
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std::unordered_map<std::string, RewardModelType> const& getRewardModels() const;
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/*!
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* Retrieves the reward models.
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*
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* @return A mapping from reward model names to the reward models.
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*/
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std::unordered_map<std::string, RewardModelType>& getRewardModels();
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/*!
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* Retrieves whether the model has a reward model with the given name.
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*
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* @return True iff the model has a reward model with the given name.
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*/
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bool hasRewardModel(std::string const& rewardModelName) const;
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/*!
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* Retrieves the reward model with the given name, if one exists. Otherwise, an exception is thrown.
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*
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* @return The reward model with the given name, if it exists.
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*/
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RewardModelType const& getRewardModel(std::string const& rewardModelName) const;
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/*!
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* Retrieves the unique reward model, if there exists exactly one. Otherwise, an exception is thrown.
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*
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* @return An iterator to the name and the reward model.
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*/
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typename std::unordered_map<std::string, RewardModelType>::const_iterator getUniqueRewardModel() const;
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/*!
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* Retrieves whether the model has a unique reward model.
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*
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* @return True iff the model has a unique reward model.
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*/
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bool hasUniqueRewardModel() const;
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/*!
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* Retrieves whether the model has at least one reward model.
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*
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* @return True iff the model has a reward model.
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*/
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bool hasRewardModel() const;
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/*!
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* Retrieves the number of reward models associated with this model.
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*
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* @return The number of reward models associated with this model.
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*/
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uint_fast64_t getNumberOfRewardModels() const;
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/*!
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* Adds a reward model to the model. Notice that this operation is only valid if the reward model matches the number of
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* states and/or choices of the model.
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* Moreover, it is required that no reward model with the same name exists in the model.
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*/
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void addRewardModel(std::string const& rewardModelName, RewardModelType const& rewModel);
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/*!
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* Removes the reward model with the given name from the model.
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* @return true, iff such a reward model existed
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*/
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bool removeRewardModel(std::string const& rewardModelName);
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/*!
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* Retrieves the labels for the choices of the model. Note that calling this method is only valid if the
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* model has a choice labeling.
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*
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* @return The labels for the choices of the model.
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*/
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std::vector<LabelSet> const& getChoiceLabeling() const;
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/*!
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* Retrieves an optional value that contains the choice labeling if there is one.
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*
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* @return The labels for the choices, if they're saved.
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*/
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boost::optional<std::vector<LabelSet>> const& getOptionalChoiceLabeling() const;
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/*!
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* Returns the state labeling associated with this model.
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*
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* @return The state labeling associated with this model.
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*/
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storm::models::sparse::StateLabeling const& getStateLabeling() const;
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/*!
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* Returns the state labeling associated with this model.
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*
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* @return The state labeling associated with this model.
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*/
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storm::models::sparse::StateLabeling& getStateLabeling();
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/*!
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* Retrieves whether this model has a labeling of the choices.
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*
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* @return True iff this model has a labeling of the choices.
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*/
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bool hasChoiceLabeling() const;
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/*!
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* Converts the transition rewards of all reward models to state-based rewards. For deterministic models,
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* this reduces the rewards to state rewards only. For nondeterminstic models, the reward models will
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* contain state rewards and state-action rewards. Note that this transformation does not preserve all
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* properties, but it preserves expected rewards.
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*/
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virtual void reduceToStateBasedRewards() = 0;
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/*!
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* Retrieves (an approximation of) the size of the model in bytes.
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*
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* @return The size of the internal representation of the model measured in bytes.
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*/
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virtual std::size_t getSizeInBytes() const override;
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/*!
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* Prints information about the model to the specified stream.
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*
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* @param out The stream the information is to be printed to.
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*/
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virtual void printModelInformationToStream(std::ostream& out) const override;
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/*!
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* Exports the model to the dot-format and prints the result to the given stream.
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*
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* @param outStream The stream to which the model is to be written.
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* @param includeLabling If set to true, the states will be exported with their labels.
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* @param subsystem If not null, this represents the subsystem that is to be exported.
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* @param firstValue If not null, the values in this vector are attached to the states.
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* @param secondValue If not null, the values in this vector are attached to the states.
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* @param stateColoring If not null, this is a mapping from states to color codes.
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* @param colors A mapping of color codes to color names.
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* @param finalizeOutput A flag that sets whether or not the dot stream is closed with a curly brace.
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* @return A string containing the exported model in dot-format.
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*/
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virtual void writeDotToStream(std::ostream& outStream, bool includeLabeling = true, storm::storage::BitVector const* subsystem = nullptr, std::vector<ValueType> const* firstValue = nullptr, std::vector<ValueType> const* secondValue = nullptr, std::vector<uint_fast64_t> const* stateColoring = nullptr, std::vector<std::string> const* colors = nullptr, std::vector<uint_fast64_t>* scheduler = nullptr, bool finalizeOutput = true) const;
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/*!
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* Retrieves the set of labels attached to the given state.
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*
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* @param state The state whose labels to retrieve.
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* @return The set of labels attach to the given state.
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*/
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std::set<std::string> getLabelsOfState(storm::storage::sparse::state_type state) const;
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virtual bool isSparseModel() const override;
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virtual bool isParametric() const override;
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protected:
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RewardModelType & rewardModel(std::string const& rewardModelName);
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/*!
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* Sets the transition matrix of the model.
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*
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* @param transitionMatrix The new transition matrix of the model.
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*/
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void setTransitionMatrix(storm::storage::SparseMatrix<ValueType> const& transitionMatrix);
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/*!
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* Sets the transition matrix of the model.
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*
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* @param transitionMatrix The new transition matrix of the model.
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*/
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void setTransitionMatrix(storm::storage::SparseMatrix<ValueType>&& transitionMatrix);
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/*!
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* Prints the information header (number of states and transitions) of the model to the specified stream.
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*
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* @param out The stream the information is to be printed to.
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*/
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void printModelInformationHeaderToStream(std::ostream& out) const;
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/*!
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* Prints the information footer (reward models, labels and size in memory) of the model to the
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* specified stream.
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*
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* @param out The stream the information is to be printed to.
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*/
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void printModelInformationFooterToStream(std::ostream& out) const;
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/*!
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* Prints information about the reward models to the specified stream.
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*
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* @param out The stream the information is to be printed to.
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*/
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void printRewardModelsInformationToStream(std::ostream& out) const;
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private:
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// A matrix representing transition relation.
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storm::storage::SparseMatrix<ValueType> transitionMatrix;
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// The labeling of the states.
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storm::models::sparse::StateLabeling stateLabeling;
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// The reward models of the model.
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std::unordered_map<std::string, RewardModelType> rewardModels;
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// If set, a vector representing the labels of choices.
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boost::optional<std::vector<LabelSet>> choiceLabeling;
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};
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std::set<storm::Variable> getProbabilityParameters(Model<storm::RationalFunction> const& model);
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} // namespace sparse
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} // namespace models
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} // namespace storm
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#endif /* STORM_MODELS_SPARSE_MODEL_H_ */
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