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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/settings/SettingsManager.h"
#include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
#include "src/solver/NativeNondeterministicLinearEquationSolver.h"
#include "src/parser/AutoParser.h"
TEST(SparseMdpPrctlModelCheckerTest, AsynchronousLeader) { std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.tra", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.trans.rew");
ASSERT_EQ(abstractModel->getType(), storm::models::MDP);
std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>();
ASSERT_EQ(2095783ull, mdp->getNumberOfStates()); ASSERT_EQ(7714385ull, mdp->getNumberOfTransitions());
storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>()));
auto apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected"); auto eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(apFormula);
std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true);
ASSERT_LT(std::abs(result[0] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
result = mc.checkOptimizingOperator(*eventuallyFormula, false);
ASSERT_LT(std::abs(result[0] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected"); auto boundedEventuallyFormula = std::make_shared<storm::properties::prctl::BoundedEventually<double>>(apFormula, 25);
result = mc.checkOptimizingOperator(*boundedEventuallyFormula, true);
ASSERT_LT(std::abs(result[0] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
result = mc.checkOptimizingOperator(*boundedEventuallyFormula, false);
ASSERT_LT(std::abs(result[0] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("elected"); auto reachabilityRewardFormula = std::make_shared<storm::properties::prctl::ReachabilityReward<double>>(apFormula);
result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true);
ASSERT_LT(std::abs(result[0] - 6.172433512), storm::settings::nativeEquationSolverSettings().getPrecision());
result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
ASSERT_LT(std::abs(result[0] - 6.1724344), storm::settings::nativeEquationSolverSettings().getPrecision()); }
TEST(SparseMdpPrctlModelCheckerTest, Consensus) { // Increase the maximal number of iterations, because the solver does not converge otherwise.
// This is done in the main cpp unit
std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.tra", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.lab", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.steps.state.rew", ""); ASSERT_EQ(abstractModel->getType(), storm::models::MDP); std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>(); ASSERT_EQ(63616ull, mdp->getNumberOfStates()); ASSERT_EQ(213472ull, mdp->getNumberOfTransitions()); storm::modelchecker::prctl::SparseMdpPrctlModelChecker<double> mc(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>())); auto apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); auto eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(apFormula); std::vector<double> result = mc.checkOptimizingOperator(*eventuallyFormula, true); ASSERT_LT(std::abs(result[31168] - 1.0), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); auto apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("all_coins_equal_0"); auto andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, apFormula2); eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula); result = mc.checkOptimizingOperator(*eventuallyFormula, true);
ASSERT_LT(std::abs(result[31168] - 0.4374282832), storm::settings::nativeEquationSolverSettings().getPrecision()); apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("all_coins_equal_1"); andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, apFormula2); eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula); result = mc.checkOptimizingOperator(*eventuallyFormula, false); ASSERT_LT(std::abs(result[31168] - 0.5293286369), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); apFormula2 = std::make_shared<storm::properties::prctl::Ap<double>>("agree"); auto notFormula = std::make_shared<storm::properties::prctl::Not<double>>(apFormula2); andFormula = std::make_shared<storm::properties::prctl::And<double>>(apFormula, notFormula); eventuallyFormula = std::make_shared<storm::properties::prctl::Eventually<double>>(andFormula); result = mc.checkOptimizingOperator(*eventuallyFormula, false); ASSERT_LT(std::abs(result[31168] - 0.10414097), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); auto boundedEventuallyFormula = std::make_shared<storm::properties::prctl::BoundedEventually<double>>(apFormula, 50ull); result = mc.checkOptimizingOperator(*boundedEventuallyFormula, true); ASSERT_LT(std::abs(result[31168] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision()); result = mc.checkOptimizingOperator(*boundedEventuallyFormula, false);
ASSERT_LT(std::abs(result[31168] - 0.0), storm::settings::nativeEquationSolverSettings().getPrecision());
apFormula = std::make_shared<storm::properties::prctl::Ap<double>>("finished"); auto reachabilityRewardFormula = std::make_shared<storm::properties::prctl::ReachabilityReward<double>>(apFormula); result = mc.checkOptimizingOperator(*reachabilityRewardFormula, true); ASSERT_LT(std::abs(result[31168] - 1725.593313), storm::settings::nativeEquationSolverSettings().getPrecision());
result = mc.checkOptimizingOperator(*reachabilityRewardFormula, false);
ASSERT_LT(std::abs(result[31168] - 2183.142422), storm::settings::nativeEquationSolverSettings().getPrecision()); }
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