#include "formulae.h" #include "storm/logic/Formulas.h" #include "storm/logic/CloneVisitor.h" #include "storm/logic/LabelSubstitutionVisitor.h" void define_formulae(py::module& m) { py::enum_(m, "ComparisonType") .value("LESS", storm::logic::ComparisonType::Less) .value("LEQ", storm::logic::ComparisonType::LessEqual) .value("GREATER", storm::logic::ComparisonType::Greater) .value("GEQ", storm::logic::ComparisonType::GreaterEqual) ; py::class_> formula(m, "Formula", "Generic Storm Formula"); formula.def("__str__", &storm::logic::Formula::toString) .def("clone", [](storm::logic::Formula const& f) { storm::logic::CloneVisitor cv; return cv.clone(f);}) .def("substitute", [](storm::logic::Formula const& f, std::map const& map) { return f.substitute(map); }, "Substitute variables", py::arg("constants_map")) .def("substitute_labels_by_labels", [](storm::logic::Formula const& f, std::map const& labelSubs) {storm::logic::LabelSubstitutionVisitor lsv(labelSubs); return lsv.substitute(f);}, "substitute label occurences", py::arg("replacements")) .def_property_readonly("is_probability_operator", &storm::logic::Formula::isProbabilityOperatorFormula, "is it a probability operator") .def_property_readonly("is_reward_operator", &storm::logic::Formula::isRewardOperatorFormula, "is it a reward operator") ; // Path Formulae py::class_> pathFormula(m, "PathFormula", "Formula about the probability of a set of paths in an automaton", formula); py::class_> unaryPathFormula(m, "UnaryPathFormula", "Path formula with one operand", pathFormula); unaryPathFormula.def_property_readonly("subformula", &storm::logic::UnaryPathFormula::getSubformula, "the subformula"); py::class_>(m, "EventuallyFormula", "Formula for eventually", unaryPathFormula); py::class_>(m, "GloballyFormula", "Formula for globally", unaryPathFormula); py::class_> binaryPathFormula(m, "BinaryPathFormula", "Path formula with two operands", pathFormula); binaryPathFormula.def_property_readonly("left_subformula", &storm::logic::BinaryPathFormula::getLeftSubformula); binaryPathFormula.def_property_readonly("right_subformula", &storm::logic::BinaryPathFormula::getRightSubformula); py::class_>(m, "BoundedUntilFormula", "Until Formula with either a step or a time bound.", binaryPathFormula); py::class_>(m, "ConditionalFormula", "Formula with the right hand side being a condition.", formula); py::class_>(m, "UntilFormula", "Path Formula for unbounded until", binaryPathFormula); // Reward Path Formulae //py::class_(m, "RewardPathFormula", "Formula about the rewards of a set of paths in an automaton", py::base()); py::class_>(m, "CumulativeRewardFormula", "Summed rewards over a the paths", pathFormula); py::class_>(m ,"InstantaneousRewardFormula", "Instantaneous reward", pathFormula); py::class_>(m, "LongRunAverageRewardFormula", "Long run average reward", pathFormula); //py::class_>(m, "ReachabilityRewardFormula", "Reachability reward", py::base()); // State Formulae py::class_> stateFormula(m, "StateFormula", "Formula about a state of an automaton", formula); py::class_>(m, "AtomicExpressionFormula", "Formula with an atomic expression", stateFormula); py::class_>(m, "AtomicLabelFormula", "Formula with an atomic label", stateFormula); py::class_>(m, "BooleanLiteralFormula", "Formula with a boolean literal", stateFormula) .def(py::init(),"truth value"_a); py::class_> unaryStateFormula(m, "UnaryStateFormula", "State formula with one operand", stateFormula); unaryStateFormula.def_property_readonly("subformula", &storm::logic::UnaryStateFormula::getSubformula, "the subformula"); py::class_>(m, "UnaryBooleanStateFormula", "Unary boolean state formula", unaryStateFormula); py::class_> operatorFormula(m, "OperatorFormula", "Operator formula", unaryStateFormula); operatorFormula.def_property_readonly("has_bound", &storm::logic::OperatorFormula::hasBound, "Flag if formula is bounded") .def_property("comparison_type", &storm::logic::OperatorFormula::getComparisonType, &storm::logic::OperatorFormula::setComparisonType, "Comparison type of bound") .def_property_readonly("threshold", [](storm::logic::OperatorFormula const& f) { if (f.getThreshold().containsVariables()) { throw std::runtime_error("To obtain the threshold as an expression, use threshold_expr"); } if (f.getThreshold().hasRationalType()) { return f.getThresholdAs(); } else if (f.getThreshold().hasIntegerType()) { return storm::utility::convertNumber(f.getThreshold().evaluateAsInt()); } else { throw std::runtime_error("Can't get non-rational threshold (not implemented)"); } }, "Threshold of bound (currently only applicable to rational expressions)") .def_property_readonly("threshold_expr", [](storm::logic::OperatorFormula const& f) { return f.getThreshold(); }) .def("set_bound", [](storm::logic::OperatorFormula& f, storm::logic::ComparisonType comparisonType, storm::expressions::Expression const& bound) { f.setBound(storm::logic::Bound(comparisonType, bound)); }, "Set bound", py::arg("comparison_type"), py::arg("bound")) .def("remove_bound", &storm::logic::OperatorFormula::removeBound) .def_property_readonly("has_optimality_type", &storm::logic::OperatorFormula::hasOptimalityType, "Flag if an optimality type is present") .def_property_readonly("optimality_type", &storm::logic::OperatorFormula::getOptimalityType, "Flag for the optimality type") .def("set_optimality_type", &storm::logic::OperatorFormula::setOptimalityType, "set the optimality type (use remove optimiality type for clearing)", "new_optimality_type"_a) .def("remove_optimality_type", &storm::logic::OperatorFormula::removeOptimalityType, "remove the optimality type") ; py::class_>(m, "TimeOperator", "The time operator", operatorFormula); py::class_>(m, "LongRunAvarageOperator", "Long run average operator", operatorFormula); py::class_>(m, "ProbabilityOperator", "Probability operator", operatorFormula) .def(py::init>(), "construct probability operator formula", py::arg("subformula")) ; py::class_>(m, "RewardOperator", "Reward operator", operatorFormula) .def("has_reward_name", &storm::logic::RewardOperatorFormula::hasRewardModelName) .def_property_readonly("reward_name", &storm::logic::RewardOperatorFormula::getRewardModelName); py::class_> binaryStateFormula(m, "BinaryStateFormula", "State formula with two operands", stateFormula); py::class_>(m, "BooleanBinaryStateFormula", "Boolean binary state formula", binaryStateFormula); }