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Cleaned up structure of ExplicitModelAdapter. 

- added cpp file
- returns complete models now (missing transition rewards...)
tempestpy_adaptions
gereon 12 years ago
parent
f52d4eb7a8
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5f64fd168b
1 changed files with 75 additions and 469 deletions
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  1. 544
      src/adapters/ExplicitModelAdapter.h

544
src/adapters/ExplicitModelAdapter.h
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@ -1,55 +1,44 @@
/*
* IntermediateRepresentationAdapter.h
/*
* File: ExplicitModelAdapter.h
* Author: Gereon Kremer
*
* Created on: 13.01.2013
* Author: Christian Dehnert
* Created on March 15, 2013, 11:42 AM
*/
#ifndef STORM_IR_EXPLICITMODELADAPTER_H_
#define STORM_IR_EXPLICITMODELADAPTER_H_
#ifndef EXPLICITMODELADAPTER_H
#define EXPLICITMODELADAPTER_H
#include "src/storage/SparseMatrix.h"
#include "src/utility/Settings.h"
#include <memory>
#include <unordered_map>
#include <utility>
#include <vector>
#include <boost/functional/hash.hpp>
#include "src/ir/RewardModel.h"
#include "src/ir/Program.h"
#include "src/ir/StateReward.h"
#include "src/ir/TransitionReward.h"
#include "src/models/AbstractModel.h"
#include "src/models/Dtmc.h"
#include "src/models/Ctmc.h"
#include "src/models/Mdp.h"
#include <tuple>
#include <unordered_map>
#include <boost/functional/hash.hpp>
#include <map>
#include <queue>
#include <set>
#include <iostream>
#include <memory>
#include <list>
typedef std::pair<std::vector<bool>, std::vector<int_fast64_t>> StateType;
#include "log4cplus/logger.h"
#include "log4cplus/loggingmacros.h"
#include "ir/Program.h"
extern log4cplus::Logger logger;
#include "src/models/AtomicPropositionsLabeling.h"
#include "src/storage/SparseMatrix.h"
namespace storm {
namespace adapters {
/*!
* Model state, represented by the values of all variables.
*/
typedef std::pair<std::vector<bool>, std::vector<int_fast64_t>> StateType;
class StateHash {
public:
std::size_t operator()(StateType* state) const {
size_t seed = 0;
for (auto it = state->first.begin(); it != state->first.end(); ++it) {
boost::hash_combine<bool>(seed, *it);
for (auto it : state->first) {
boost::hash_combine<bool>(seed, it);
}
for (auto it = state->second.begin(); it != state->second.end(); ++it) {
boost::hash_combine<int_fast64_t>(seed, *it);
for (auto it : state->second) {
boost::hash_combine<int_fast64_t>(seed, it);
}
return seed;
}
@ -64,131 +53,47 @@ public:
class ExplicitModelAdapter {
public:
ExplicitModelAdapter(std::shared_ptr<storm::ir::Program> program) : program(program), allStates(),
stateToIndexMap(), booleanVariables(), integerVariables(), booleanVariableToIndexMap(),
integerVariableToIndexMap(), numberOfTransitions(0) {
}
std::shared_ptr<storm::models::AbstractModel> toModel(std::string const & rewardModelName = "") {
std::shared_ptr<storm::storage::SparseMatrix<double>> matrix = this->toSparseMatrix();
std::shared_ptr<storm::models::AtomicPropositionsLabeling> stateLabeling = this->getStateLabeling(this->program->getLabels());
std::shared_ptr<std::vector<double>> stateRewards = nullptr;
std::shared_ptr<storm::storage::SparseMatrix<double>> transitionRewardMatrix = nullptr;
if (rewardModelName != "") {
storm::ir::RewardModel rewardModel = this->program->getRewardModel(rewardModelName);
stateRewards = this->getStateRewards(rewardModel.getStateRewards());
}
switch (this->program->getModelType())
{
/* std::shared_ptr<storm::storage::SparseMatrix<T>> probabilityMatrix,
std::shared_ptr<storm::models::AtomicPropositionsLabeling> stateLabeling,
std::shared_ptr<std::vector<T>> stateRewards = nullptr,
std::shared_ptr<storm::storage::SparseMatrix<T>> transitionRewardMatrix = nullptr
*/
case storm::ir::Program::DTMC:
return std::shared_ptr<storm::models::AbstractModel>(new storm::models::Dtmc<double>(matrix, stateLabeling, stateRewards, transitionRewardMatrix));
break;
case storm::ir::Program::CTMC:
return std::shared_ptr<storm::models::AbstractModel>(new storm::models::Ctmc<double>(matrix, stateLabeling, stateRewards, transitionRewardMatrix));
break;
case storm::ir::Program::MDP:
return std::shared_ptr<storm::models::AbstractModel>(new storm::models::Mdp<double>(matrix, stateLabeling, stateRewards, transitionRewardMatrix));
break;
case storm::ir::Program::CTMDP:
// Todo
//return std::shared_ptr<storm::models::AbstractModel>(new storm::models::Ctmdp<double>(matrix, stateLabeling, stateRewards, transitionRewardMatrix));
break;
default:
// ERROR
break;
}
return std::shared_ptr<storm::models::AbstractModel>(nullptr);
}
std::shared_ptr<storm::storage::SparseMatrix<double>> toSparseMatrix() {
LOG4CPLUS_INFO(logger, "Creating sparse matrix for probabilistic program.");
std::shared_ptr<storm::storage::SparseMatrix<double>> resultMatrix = this->buildMatrix();
ExplicitModelAdapter(std::shared_ptr<storm::ir::Program> program);
~ExplicitModelAdapter();
LOG4CPLUS_INFO(logger, "Created sparse matrix with " << resultMatrix->getRowCount() << " reachable states and " << resultMatrix->getNonZeroEntryCount() << " transitions.");
this->clearReachableStateSpace();
return resultMatrix;
}
std::shared_ptr<storm::models::AbstractModel> getModel(std::string const & rewardModelName = "");
private:
static void setValue(StateType* state, uint_fast64_t index, bool value) {
std::get<0>(*state)[index] = value;
}
static void setValue(StateType* state, uint_fast64_t index, int_fast64_t value) {
std::get<1>(*state)[index] = value;
}
std::shared_ptr<std::vector<double>> getStateRewards(std::vector<storm::ir::StateReward> const & rewards) {
std::shared_ptr<std::vector<double>> results(new std::vector<double>(this->allStates.size()));
for (uint_fast64_t index = 0; index < this->allStates.size(); index++) {
for (auto reward: rewards) {
(*results)[index] = reward.getReward(this->allStates[index]);
}
}
return results;
}
// First some generic routines to operate on states.
std::shared_ptr<storm::models::AtomicPropositionsLabeling> getStateLabeling(std::map<std::string, std::shared_ptr<storm::ir::expressions::BaseExpression>> labels) {
std::shared_ptr<storm::models::AtomicPropositionsLabeling> results(new storm::models::AtomicPropositionsLabeling(this->allStates.size(), labels.size()));
for (auto it: labels) {
results->addAtomicProposition(it.first);
}
for (uint_fast64_t index = 0; index < this->allStates.size(); index++) {
for (auto label: labels) {
if (label.second->getValueAsBool(this->allStates[index])) {
results->addAtomicPropositionToState(label.first, index);
}
}
}
return results;
}
/*!
* Initializes all internal variables.
* Set some boolean variable in the given state object.
* @param state State to be changed.
* @param index Index of boolean variable.
* @param value New value.
*/
void prepareAuxiliaryDatastructures() {
uint_fast64_t numberOfIntegerVariables = 0;
uint_fast64_t numberOfBooleanVariables = 0;
for (uint_fast64_t i = 0; i < program->getNumberOfModules(); ++i) {
numberOfIntegerVariables += program->getModule(i).getNumberOfIntegerVariables();
numberOfBooleanVariables += program->getModule(i).getNumberOfBooleanVariables();
}
static void setValue(StateType* const state, uint_fast64_t const index, bool const value);
/*!
* Set some integer variable in the given state object.
* @param state State to be changed.
* @param index Index of integer variable.
* @param value New value.
*/
static void setValue(StateType* const state, uint_fast64_t const index, int_fast64_t const value);
/*!
* Apply an update to the given state and return the resulting new state object.
* This methods creates a copy of the given state.
* @params state Current state.
* @params update Update to be applied.
* @return Resulting state.
*/
StateType* applyUpdate(StateType const * const state, storm::ir::Update const & update) const;
this->booleanVariables.resize(numberOfBooleanVariables);
this->integerVariables.resize(numberOfIntegerVariables);
/*!
* Reads and combines variables from all program modules and stores them.
* Also creates a map to obtain a variable index from a variable map efficiently.
*/
void initializeVariables();
uint_fast64_t nextBooleanVariableIndex = 0;
uint_fast64_t nextIntegerVariableIndex = 0;
for (uint_fast64_t i = 0; i < program->getNumberOfModules(); ++i) {
storm::ir::Module const& module = program->getModule(i);
std::shared_ptr<std::vector<double>> getStateRewards(std::vector<storm::ir::StateReward> const & rewards);
std::shared_ptr<storm::models::AtomicPropositionsLabeling> getStateLabeling(std::map<std::string, std::shared_ptr<storm::ir::expressions::BaseExpression>> labels);
for (uint_fast64_t j = 0; j < module.getNumberOfBooleanVariables(); ++j) {
this->booleanVariables[nextBooleanVariableIndex] = module.getBooleanVariable(j);
this->booleanVariableToIndexMap[module.getBooleanVariable(j).getName()] = nextBooleanVariableIndex;
++nextBooleanVariableIndex;
}
for (uint_fast64_t j = 0; j < module.getNumberOfIntegerVariables(); ++j) {
this->integerVariables[nextIntegerVariableIndex] = module.getIntegerVariable(j);
this->integerVariableToIndexMap[module.getIntegerVariable(j).getName()] = nextIntegerVariableIndex;
++nextIntegerVariableIndex;
}
}
}
/*!
* Retrieves all active command labeled by some label, ordered by modules.
*
@ -202,106 +107,13 @@ private:
* @param action Action label.
* @return Active commands.
*/
std::unique_ptr<std::list<std::list<storm::ir::Command>>> getActiveCommandsByAction(StateType const * state, std::string& action) {
std::unique_ptr<std::list<std::list<storm::ir::Command>>> res = std::unique_ptr<std::list<std::list<storm::ir::Command>>>(new std::list<std::list<storm::ir::Command>>());
// Iterate over all modules.
for (uint_fast64_t i = 0; i < this->program->getNumberOfModules(); ++i) {
storm::ir::Module const& module = this->program->getModule(i);
std::shared_ptr<std::set<uint_fast64_t>> ids = module.getCommandsByAction(action);
std::list<storm::ir::Command> commands;
// Look up commands by their id. Add, if guard holds.
for (uint_fast64_t id : *ids) {
storm::ir::Command cmd = module.getCommand(id);
if (cmd.getGuard()->getValueAsBool(state)) {
commands.push_back(module.getCommand(id));
}
}
res->push_back(commands);
}
// Sort the result in the vague hope that having small lists at the beginning will speed up the expanding.
// This is how lambdas may look like in C++...
res->sort([](const std::list<storm::ir::Command>& a, const std::list<storm::ir::Command>& b){ return a.size() < b.size(); });
return res;
}
/*!
* Apply an update to the given state and return resulting state.
* @params state Current state.
* @params update Update to be applied.
* @return Resulting state.
*/
StateType* applyUpdate(StateType const * const state, storm::ir::Update const & update) {
StateType* newState = new StateType(*state);
for (auto assignedVariable : update.getBooleanAssignments()) {
setValue(newState, this->booleanVariableToIndexMap[assignedVariable.first], assignedVariable.second.getExpression()->getValueAsBool(state));
}
for (auto assignedVariable : update.getIntegerAssignments()) {
setValue(newState, this->integerVariableToIndexMap[assignedVariable.first], assignedVariable.second.getExpression()->getValueAsInt(state));
}
return newState;
}
std::unique_ptr<std::list<std::list<storm::ir::Command>>> getActiveCommandsByAction(StateType const * state, std::string& action);
/*!
* Generates all initial states and adds them to allStates.
*/
void generateInitialStates() {
// Create a fresh state which can hold as many boolean and integer variables as there are.
this->allStates.clear();
this->allStates.push_back(new StateType());
this->allStates[0]->first.resize(this->booleanVariables.size());
this->allStates[0]->second.resize(this->integerVariables.size());
// Start with boolean variables.
for (uint_fast64_t i = 0; i < this->booleanVariables.size(); ++i) {
// Check if an initial value is given
if (this->booleanVariables[i].getInitialValue().get() == nullptr) {
// No initial value was given.
uint_fast64_t size = this->allStates.size();
for (uint_fast64_t pos = 0; pos < size; pos++) {
// Duplicate each state, one with true and one with false.
this->allStates.push_back(new StateType(*this->allStates[pos]));
std::get<0>(*this->allStates[pos])[i] = false;
std::get<0>(*this->allStates[size + pos])[i] = true;
}
} else {
// Initial value was given.
bool initialValue = this->booleanVariables[i].getInitialValue()->getValueAsBool(this->allStates[0]);
for (auto it : this->allStates) {
std::get<0>(*it)[i] = initialValue;
}
}
}
// Now process integer variables.
for (uint_fast64_t i = 0; i < this->integerVariables.size(); ++i) {
// Check if an initial value was given.
if (this->integerVariables[i].getInitialValue().get() == nullptr) {
// No initial value was given.
uint_fast64_t size = this->allStates.size();
int_fast64_t lower = this->integerVariables[i].getLowerBound()->getValueAsInt(this->allStates[0]);
int_fast64_t upper = this->integerVariables[i].getUpperBound()->getValueAsInt(this->allStates[0]);
// Duplicate all states for all values in variable interval.
for (int_fast64_t value = lower; value <= upper; value++) {
for (uint_fast64_t pos = 0; pos < size; pos++) {
// If value is lower bound, we reuse the existing state, otherwise we create a new one.
if (value > lower) this->allStates.push_back(new StateType(*this->allStates[pos]));
// Set value to current state.
std::get<1>(*this->allStates[(value - lower) * size + pos])[i] = value;
}
}
} else {
// Initial value was given.
int_fast64_t initialValue = this->integerVariables[i].getInitialValue()->getValueAsInt(this->allStates[0]);
for (auto it : this->allStates) {
std::get<1>(*it)[i] = initialValue;
}
}
}
}
void generateInitialStates();
/*!
* Retrieves the state id of the given state.
* If the state has not been hit yet, it will be added to allStates and given a new id.
@ -311,171 +123,29 @@ private:
* @param state Pointer to state, shall not be used afterwards.
* @returns State id of given state.
*/
uint_fast64_t getOrAddStateId(StateType * state) {
// Check, if we already know this state at all.
auto indexIt = this->stateToIndexMap.find(state);
if (indexIt == this->stateToIndexMap.end()) {
// No, add to allStates, initialize index.
allStates.push_back(state);
stateToIndexMap[state] = allStates.size()-1;
return allStates.size()-1;
} else {
// Yes, obtain index and delete state object.
delete state;
return indexIt->second;
}
}
uint_fast64_t getOrAddStateId(StateType * state);
/*!
* Expands all unlabeled transitions for a given state and adds them to the given list of results.
* @params state State to be explored.
* @params res Intermediate transition map.
*/
void addUnlabeledTransitions(const uint_fast64_t stateID, std::list<std::map<uint_fast64_t, double>>& res) {
const StateType* state = this->allStates[stateID];
// Iterate over all modules.
for (uint_fast64_t i = 0; i < program->getNumberOfModules(); ++i) {
storm::ir::Module const& module = program->getModule(i);
// Iterate over all commands.
for (uint_fast64_t j = 0; j < module.getNumberOfCommands(); ++j) {
storm::ir::Command const& command = module.getCommand(j);
// Only consider unlabeled commands.
if (command.getActionName() != "") continue;
// Omit, if command is not active.
if (!command.getGuard()->getValueAsBool(state)) continue;
// Add a new map and get pointer.
res.emplace_back();
std::map<uint_fast64_t, double>* states = &res.back();
// Iterate over all updates.
for (uint_fast64_t k = 0; k < command.getNumberOfUpdates(); ++k) {
// Obtain new state id.
storm::ir::Update const& update = command.getUpdate(k);
uint_fast64_t newStateId = this->getOrAddStateId(this->applyUpdate(state, update));
// Check, if we already know this state, add up probabilities for every state.
auto stateIt = states->find(newStateId);
if (stateIt == states->end()) {
(*states)[newStateId] = update.getLikelihoodExpression()->getValueAsDouble(state);
this->numberOfTransitions++;
} else {
(*states)[newStateId] += update.getLikelihoodExpression()->getValueAsDouble(state);
}
}
}
}
}
void addUnlabeledTransitions(const uint_fast64_t stateID, std::list<std::map<uint_fast64_t, double>>& res);
/*!
* Explores reachable state from given state by using labeled transitions.
* Found transitions are stored in given map.
* @param stateID State to be explored.
* @param res Intermediate transition map.
*/
void addLabeledTransitions(const uint_fast64_t stateID, std::list<std::map<uint_fast64_t, double>>& res) {
// Create a copy of the current state, as we will free intermediate states...
for (std::string action : this->program->getActions()) {
StateType* state = new StateType(*this->allStates[stateID]);
std::unique_ptr<std::list<std::list<storm::ir::Command>>> cmds = this->getActiveCommandsByAction(state, action);
// Start with current state
std::unordered_map<StateType*, double, StateHash, StateCompare> resultStates;
resultStates[state] = 1.0;
for (std::list<storm::ir::Command> module : *cmds) {
if (resultStates.size() == 0) break;
std::unordered_map<StateType*, double, StateHash, StateCompare> newStates;
// Iterate over all commands within this module.
for (storm::ir::Command command : module) {
// Iterate over all updates of this command.
for (uint_fast64_t k = 0; k < command.getNumberOfUpdates(); ++k) {
storm::ir::Update const& update = command.getUpdate(k);
// Iterate over all resultStates.
for (auto it : resultStates) {
// Apply the new update and get resulting state.
StateType* newState = this->applyUpdate(it.first, update);
// Insert the new state into newStates array.
// Take care of calculation of likelihood, combine identical states.
auto s = newStates.find(newState);
if (s == newStates.end()) {
newStates[newState] = it.second * update.getLikelihoodExpression()->getValueAsDouble(it.first);
} else {
newStates[newState] += it.second * update.getLikelihoodExpression()->getValueAsDouble(it.first);
}
}
}
}
for (auto it: resultStates) {
delete it.first;
}
// Move new states to resultStates.
resultStates.clear();
resultStates.insert(newStates.begin(), newStates.end());
}
if (resultStates.size() > 0) {
res.emplace_back();
std::map<uint_fast64_t, double>* states = &res.back();
// Now add our final result states to our global result.
for (auto it : resultStates) {
uint_fast64_t newStateID = this->getOrAddStateId(it.first);
(*states)[newStateID] = it.second;
}
this->numberOfTransitions += states->size();
}
}
}
void addLabeledTransitions(const uint_fast64_t stateID, std::list<std::map<uint_fast64_t, double>>& res);
/*!
* Create matrix from intermediate mapping, assuming it is a dtmc model.
* @param intermediate Intermediate representation of transition mapping.
* @return result matrix.
*/
std::shared_ptr<storm::storage::SparseMatrix<double>> buildDTMCMatrix(std::map<uint_fast64_t, std::list<std::map<uint_fast64_t, double>>> intermediate) {
std::shared_ptr<storm::storage::SparseMatrix<double>> result(new storm::storage::SparseMatrix<double>(allStates.size()));
// this->numberOfTransitions is meaningless, as we combine all choices into one for each state.
// Hence, we compute the correct number of transitions now.
uint_fast64_t numberOfTransitions = 0;
for (uint_fast64_t state = 0; state < this->allStates.size(); state++) {
// Collect all target nodes in a set to get number of distinct nodes.
std::set<uint_fast64_t> set;
for (auto choice : intermediate[state]) {
for (auto elem : choice) {
set.insert(elem.first);
}
}
numberOfTransitions += set.size();
}
std::cout << "Building DTMC matrix with " << numberOfTransitions << " transitions." << std::endl;
// Now build matrix.
result->initialize(numberOfTransitions);
for (uint_fast64_t state = 0; state < this->allStates.size(); state++) {
if (intermediate[state].size() > 1) {
std::cout << "Warning: state " << state << " has " << intermediate[state].size() << " overlapping guards in dtmc" << std::endl;
}
// Combine choices to one map.
std::map<uint_fast64_t, double> map;
for (auto choice : intermediate[state]) {
for (auto elem : choice) {
map[elem.first] += elem.second;
}
}
// Scale probabilities by number of choices.
double factor = 1.0 / intermediate[state].size();
for (auto it : map) {
result->addNextValue(state, it.first, it.second * factor);
}
}
result->finalize();
return result;
}
std::shared_ptr<storm::storage::SparseMatrix<double>> buildDeterministicMatrix();
/*!
* Create matrix from intermediate mapping, assuming it is a mdp model.
@ -483,23 +153,7 @@ private:
* @param choices Overall number of choices for all nodes.
* @return result matrix.
*/
std::shared_ptr<storm::storage::SparseMatrix<double>> buildMDPMatrix(std::map<uint_fast64_t, std::list<std::map<uint_fast64_t, double>>> intermediate, uint_fast64_t choices) {
std::cout << "Building MDP matrix with " << this->numberOfTransitions << " transitions." << std::endl;
std::shared_ptr<storm::storage::SparseMatrix<double>> result(new storm::storage::SparseMatrix<double>(allStates.size(), choices));
// Build matrix.
result->initialize(this->numberOfTransitions);
uint_fast64_t nextRow = 0;
for (uint_fast64_t state = 0; state < this->allStates.size(); state++) {
for (auto choice : intermediate[state]) {
for (auto it : choice) {
result->addNextValue(nextRow, it.first, it.second);
}
nextRow++;
}
}
result->finalize();
return result;
}
std::shared_ptr<storm::storage::SparseMatrix<double>> buildNondeterministicMatrix();
/*!
* Build matrix from model. Starts with all initial states and explores the reachable state space.
@ -507,73 +161,25 @@ private:
* Afterwards, we transform this map into the actual matrix.
* @return result matrix.
*/
std::shared_ptr<storm::storage::SparseMatrix<double>> buildMatrix() {
this->prepareAuxiliaryDatastructures();
this->allStates.clear();
this->stateToIndexMap.clear();
this->numberOfTransitions = 0;
uint_fast64_t choices;
std::map<uint_fast64_t, std::list<std::map<uint_fast64_t, double>>> intermediate;
this->generateInitialStates();
for (uint_fast64_t curIndex = 0; curIndex < this->allStates.size(); curIndex++)
{
this->addUnlabeledTransitions(curIndex, intermediate[curIndex]);
this->addLabeledTransitions(curIndex, intermediate[curIndex]);
choices += intermediate[curIndex].size();
if (intermediate[curIndex].size() == 0) {
// This is a deadlock state.
if (storm::settings::instance()->isSet("fix-deadlocks")) {
this->numberOfTransitions++;
intermediate[curIndex].emplace_back();
intermediate[curIndex].back()[curIndex] = 1;
} else {
LOG4CPLUS_ERROR(logger, "Error while creating sparse matrix from probabilistic program: found deadlock state.");
throw storm::exceptions::WrongFileFormatException() << "Error while creating sparse matrix from probabilistic program: found deadlock state.";
}
}
}
switch (this->program->getModelType()) {
case storm::ir::Program::DTMC:
case storm::ir::Program::CTMC:
return this->buildDTMCMatrix(intermediate);
case storm::ir::Program::MDP:
case storm::ir::Program::CTMDP:
return this->buildMDPMatrix(intermediate, choices);
default:
LOG4CPLUS_ERROR(logger, "Error while creating sparse matrix from probabilistic program: We can't handle this model type.");
throw storm::exceptions::WrongFileFormatException() << "Error while creating sparse matrix from probabilistic program: We can't handle this model type.";
break;
}
return std::shared_ptr<storm::storage::SparseMatrix<double>>(nullptr);
}
/*!
* Free all StateType objects and clear maps.
*/
void clearReachableStateSpace() {
for (auto it : allStates) {
delete it;
}
allStates.clear();
stateToIndexMap.clear();
}
void buildIntermediateRepresentation();
// Program that should be converted.
std::shared_ptr<storm::ir::Program> program;
std::vector<StateType*> allStates;
std::unordered_map<StateType*, uint_fast64_t, StateHash, StateCompare> stateToIndexMap;
std::vector<storm::ir::BooleanVariable> booleanVariables;
std::vector<storm::ir::IntegerVariable> integerVariables;
std::unordered_map<std::string, uint_fast64_t> booleanVariableToIndexMap;
std::unordered_map<std::string, uint_fast64_t> integerVariableToIndexMap;
std::map<std::string, uint_fast64_t> booleanVariableToIndexMap;
std::map<std::string, uint_fast64_t> integerVariableToIndexMap;
// Members that are filled during the conversion.
std::vector<StateType*> allStates;
std::unordered_map<StateType*, uint_fast64_t, StateHash, StateCompare> stateToIndexMap;
uint_fast64_t numberOfTransitions;
uint_fast64_t numberOfChoices;
std::map<uint_fast64_t, std::list<std::map<uint_fast64_t, double>>> transitionMap;
};
} // namespace adapters
} // namespace storm
#endif /* STORM_IR_EXPLICITMODELADAPTER_H_ */
#endif /* EXPLICITMODELADAPTER_H */
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