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#include "gtest/gtest.h"
#include "storm-config.h"
#ifdef STORM_HAVE_CARL
#include "src/adapters/CarlAdapter.h"
#include<carl/numbers/numbers.h>
#include<carl/core/VariablePool.h>
#include "src/settings/SettingsManager.h"
#include "src/settings/modules/GeneralSettings.h"
#include "utility/storm.h"
#include "utility/ModelInstantiator.h"
#include "src/models/sparse/Model.h"
#include "src/models/sparse/Dtmc.h"
#include "src/models/sparse/Mdp.h"
TEST(ModelInstantiatorTest, BrpProb) { carl::VariablePool::getInstance().clear(); std::string programFile = STORM_CPP_TESTS_BASE_PATH "/functional/utility/brp16_2.pm"; std::string formulaAsString = "P=? [F s=5 ]"; // Program and formula
storm::prism::Program program = storm::parseProgram(programFile); program.checkValidity(); std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::parseFormulasForProgram(formulaAsString, program); ASSERT_TRUE(formulas.size()==1); // Parametric model
storm::generator::NextStateGeneratorOptions options(*formulas.front()); std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = storm::builder::ExplicitModelBuilder<storm::RationalFunction>(program, options).build()->as<storm::models::sparse::Dtmc<storm::RationalFunction>>(); storm::utility::ModelInstantiator<storm::models::sparse::Dtmc<storm::RationalFunction>, storm::models::sparse::Dtmc<double>> modelInstantiator(*dtmc); EXPECT_FALSE(dtmc->hasRewardModel()); { std::map<storm::RationalFunctionVariable, storm::RationalNumber> valuation; storm::RationalFunctionVariable const& pL = carl::VariablePool::getInstance().findVariableWithName("pL"); ASSERT_NE(pL, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& pK = carl::VariablePool::getInstance().findVariableWithName("pK"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); valuation.insert(std::make_pair(pL,carl::rationalize<storm::RationalNumber>(0.8))); valuation.insert(std::make_pair(pK,carl::rationalize<storm::RationalNumber>(0.9)));
storm::models::sparse::Dtmc<double> const& instantiated(modelInstantiator.instantiate(valuation));
ASSERT_EQ(dtmc->getTransitionMatrix().getRowGroupIndices(), instantiated.getTransitionMatrix().getRowGroupIndices()); for(std::size_t rowGroup = 0; rowGroup < dtmc->getTransitionMatrix().getRowGroupCount(); ++rowGroup){ for(std::size_t row = dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup]; row < dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup+1]; ++row){ auto instantiatedEntry = instantiated.getTransitionMatrix().getRow(row).begin(); for(auto const& paramEntry : dtmc->getTransitionMatrix().getRow(row)){ EXPECT_EQ(paramEntry.getColumn(), instantiatedEntry->getColumn()); double evaluatedValue = carl::toDouble(paramEntry.getValue().evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiatedEntry->getValue()); ++instantiatedEntry; } EXPECT_EQ(instantiated.getTransitionMatrix().getRow(row).end(),instantiatedEntry); } } EXPECT_EQ(dtmc->getStateLabeling(), instantiated.getStateLabeling()); EXPECT_EQ(dtmc->getOptionalChoiceLabeling(), instantiated.getOptionalChoiceLabeling());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<double>> modelchecker(instantiated); std::unique_ptr<storm::modelchecker::CheckResult> chkResult = modelchecker.check(*formulas[0]); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeChkResult = chkResult->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.2989278941, quantitativeChkResult[*instantiated.getInitialStates().begin()], storm::settings::getModule<storm::settings::modules::GeneralSettings>().getPrecision()); } { std::map<storm::RationalFunctionVariable, storm::RationalNumber> valuation; storm::RationalFunctionVariable const& pL = carl::VariablePool::getInstance().findVariableWithName("pL"); ASSERT_NE(pL, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& pK = carl::VariablePool::getInstance().findVariableWithName("pK"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); valuation.insert(std::make_pair(pL,carl::rationalize<storm::RationalNumber>(1.0))); valuation.insert(std::make_pair(pK,carl::rationalize<storm::RationalNumber>(1.0)));
storm::models::sparse::Dtmc<double> const& instantiated(modelInstantiator.instantiate(valuation));
ASSERT_EQ(dtmc->getTransitionMatrix().getRowGroupIndices(), instantiated.getTransitionMatrix().getRowGroupIndices()); for(std::size_t rowGroup = 0; rowGroup < dtmc->getTransitionMatrix().getRowGroupCount(); ++rowGroup){ for(std::size_t row = dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup]; row < dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup+1]; ++row){ auto instantiatedEntry = instantiated.getTransitionMatrix().getRow(row).begin(); for(auto const& paramEntry : dtmc->getTransitionMatrix().getRow(row)){ EXPECT_EQ(paramEntry.getColumn(), instantiatedEntry->getColumn()); double evaluatedValue = carl::toDouble(paramEntry.getValue().evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiatedEntry->getValue()); ++instantiatedEntry; } EXPECT_EQ(instantiated.getTransitionMatrix().getRow(row).end(),instantiatedEntry); } } EXPECT_EQ(dtmc->getStateLabeling(), instantiated.getStateLabeling()); EXPECT_EQ(dtmc->getOptionalChoiceLabeling(), instantiated.getOptionalChoiceLabeling());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<double>> modelchecker(instantiated); std::unique_ptr<storm::modelchecker::CheckResult> chkResult = modelchecker.check(*formulas[0]); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeChkResult = chkResult->asExplicitQuantitativeCheckResult<double>(); EXPECT_EQ(0.0 , quantitativeChkResult[*instantiated.getInitialStates().begin()]); } { std::map<storm::RationalFunctionVariable, storm::RationalNumber> valuation; storm::RationalFunctionVariable const& pL = carl::VariablePool::getInstance().findVariableWithName("pL"); ASSERT_NE(pL, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& pK = carl::VariablePool::getInstance().findVariableWithName("pK"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); valuation.insert(std::make_pair(pL,carl::rationalize<storm::RationalNumber>(1.0))); valuation.insert(std::make_pair(pK,carl::rationalize<storm::RationalNumber>(0.9)));
storm::models::sparse::Dtmc<double> const& instantiated(modelInstantiator.instantiate(valuation));
ASSERT_EQ(dtmc->getTransitionMatrix().getRowGroupIndices(), instantiated.getTransitionMatrix().getRowGroupIndices()); for(std::size_t rowGroup = 0; rowGroup < dtmc->getTransitionMatrix().getRowGroupCount(); ++rowGroup){ for(std::size_t row = dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup]; row < dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup+1]; ++row){ auto instantiatedEntry = instantiated.getTransitionMatrix().getRow(row).begin(); for(auto const& paramEntry : dtmc->getTransitionMatrix().getRow(row)){ EXPECT_EQ(paramEntry.getColumn(), instantiatedEntry->getColumn()); double evaluatedValue = carl::toDouble(paramEntry.getValue().evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiatedEntry->getValue()); ++instantiatedEntry; } EXPECT_EQ(instantiated.getTransitionMatrix().getRow(row).end(),instantiatedEntry); } } EXPECT_EQ(dtmc->getStateLabeling(), instantiated.getStateLabeling()); EXPECT_EQ(dtmc->getOptionalChoiceLabeling(), instantiated.getOptionalChoiceLabeling());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<double>> modelchecker(instantiated); std::unique_ptr<storm::modelchecker::CheckResult> chkResult = modelchecker.check(*formulas[0]); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeChkResult = chkResult->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.01588055832, quantitativeChkResult[*instantiated.getInitialStates().begin()], storm::settings::getModule<storm::settings::modules::GeneralSettings>().getPrecision()); } }
TEST(ModelInstantiatorTest, Brp_Rew) { carl::VariablePool::getInstance().clear(); std::string programFile = STORM_CPP_TESTS_BASE_PATH "/functional/utility/brp16_2.pm"; std::string formulaAsString = "R=? [F ((s=5) | (s=0&srep=3)) ]"; // Program and formula
storm::prism::Program program = storm::parseProgram(programFile); program.checkValidity(); std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::parseFormulasForProgram(formulaAsString, program); ASSERT_TRUE(formulas.size()==1); // Parametric model
storm::generator::NextStateGeneratorOptions options(*formulas.front()); std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = storm::builder::ExplicitModelBuilder<storm::RationalFunction>(program, options).build()->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
storm::utility::ModelInstantiator<storm::models::sparse::Dtmc<storm::RationalFunction>, storm::models::sparse::Dtmc<double>> modelInstantiator(*dtmc); { std::map<storm::RationalFunctionVariable, storm::RationalNumber> valuation; storm::RationalFunctionVariable const& pL = carl::VariablePool::getInstance().findVariableWithName("pL"); ASSERT_NE(pL, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& pK = carl::VariablePool::getInstance().findVariableWithName("pK"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& TOMsg = carl::VariablePool::getInstance().findVariableWithName("TOMsg"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& TOAck = carl::VariablePool::getInstance().findVariableWithName("TOAck"); ASSERT_NE(pK, carl::Variable::NO_VARIABLE); valuation.insert(std::make_pair(pL,carl::rationalize<storm::RationalNumber>(0.9))); valuation.insert(std::make_pair(pK,carl::rationalize<storm::RationalNumber>(0.3))); valuation.insert(std::make_pair(TOMsg,carl::rationalize<storm::RationalNumber>(0.3))); valuation.insert(std::make_pair(TOAck,carl::rationalize<storm::RationalNumber>(0.5)));
storm::models::sparse::Dtmc<double> const& instantiated(modelInstantiator.instantiate(valuation));
ASSERT_EQ(dtmc->getTransitionMatrix().getRowGroupIndices(), instantiated.getTransitionMatrix().getRowGroupIndices()); for(std::size_t rowGroup = 0; rowGroup < dtmc->getTransitionMatrix().getRowGroupCount(); ++rowGroup){ for(std::size_t row = dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup]; row < dtmc->getTransitionMatrix().getRowGroupIndices()[rowGroup+1]; ++row){ auto instantiatedEntry = instantiated.getTransitionMatrix().getRow(row).begin(); for(auto const& paramEntry : dtmc->getTransitionMatrix().getRow(row)){ EXPECT_EQ(paramEntry.getColumn(), instantiatedEntry->getColumn()); double evaluatedValue = carl::toDouble(paramEntry.getValue().evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiatedEntry->getValue()); ++instantiatedEntry; } EXPECT_EQ(instantiated.getTransitionMatrix().getRow(row).end(),instantiatedEntry); } } ASSERT_TRUE(instantiated.hasUniqueRewardModel()); EXPECT_FALSE(instantiated.getUniqueRewardModel()->second.hasStateRewards()); EXPECT_FALSE(instantiated.getUniqueRewardModel()->second.hasTransitionRewards()); EXPECT_TRUE(instantiated.getUniqueRewardModel()->second.hasStateActionRewards()); ASSERT_TRUE(dtmc->getUniqueRewardModel()->second.hasStateActionRewards()); std::size_t stateActionEntries = dtmc->getUniqueRewardModel()->second.getStateActionRewardVector().size(); ASSERT_EQ(stateActionEntries, instantiated.getUniqueRewardModel()->second.getStateActionRewardVector().size()); for(std::size_t i =0; i<stateActionEntries; ++i){ double evaluatedValue = carl::toDouble(dtmc->getUniqueRewardModel()->second.getStateActionRewardVector()[i].evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiated.getUniqueRewardModel()->second.getStateActionRewardVector()[i]); } EXPECT_EQ(dtmc->getStateLabeling(), instantiated.getStateLabeling()); EXPECT_EQ(dtmc->getOptionalChoiceLabeling(), instantiated.getOptionalChoiceLabeling());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<double>> modelchecker(instantiated); std::unique_ptr<storm::modelchecker::CheckResult> chkResult = modelchecker.check(*formulas[0]); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeChkResult = chkResult->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.308324495, quantitativeChkResult[*instantiated.getInitialStates().begin()], storm::settings::getModule<storm::settings::modules::GeneralSettings>().getPrecision()); } }
TEST(ModelInstantiatorTest, Consensus) { carl::VariablePool::getInstance().clear(); std::string programFile = STORM_CPP_TESTS_BASE_PATH "/functional/utility/coin2_2.pm"; std::string formulaAsString = "Pmin=? [F \"finished\"&\"all_coins_equal_1\" ]"; // Program and formula
storm::prism::Program program = storm::parseProgram(programFile); program.checkValidity(); std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::parseFormulasForProgram(formulaAsString, program); ASSERT_TRUE(formulas.size()==1); // Parametric model
storm::generator::NextStateGeneratorOptions options(*formulas.front()); std::shared_ptr<storm::models::sparse::Mdp<storm::RationalFunction>> mdp = storm::builder::ExplicitModelBuilder<storm::RationalFunction>(program, options).build()->as<storm::models::sparse::Mdp<storm::RationalFunction>>();
storm::utility::ModelInstantiator<storm::models::sparse::Mdp<storm::RationalFunction>, storm::models::sparse::Mdp<double>> modelInstantiator(*mdp); std::map<storm::RationalFunctionVariable, storm::RationalNumber> valuation; storm::RationalFunctionVariable const& p1 = carl::VariablePool::getInstance().findVariableWithName("p1"); ASSERT_NE(p1, carl::Variable::NO_VARIABLE); storm::RationalFunctionVariable const& p2 = carl::VariablePool::getInstance().findVariableWithName("p2"); ASSERT_NE(p2, carl::Variable::NO_VARIABLE); valuation.insert(std::make_pair(p1,carl::rationalize<storm::RationalNumber>(0.51))); valuation.insert(std::make_pair(p2,carl::rationalize<storm::RationalNumber>(0.49))); storm::models::sparse::Mdp<double> const& instantiated(modelInstantiator.instantiate(valuation));
ASSERT_EQ(mdp->getTransitionMatrix().getRowGroupIndices(), instantiated.getTransitionMatrix().getRowGroupIndices()); for(std::size_t rowGroup = 0; rowGroup < mdp->getTransitionMatrix().getRowGroupCount(); ++rowGroup){ for(std::size_t row = mdp->getTransitionMatrix().getRowGroupIndices()[rowGroup]; row < mdp->getTransitionMatrix().getRowGroupIndices()[rowGroup+1]; ++row){ auto instantiatedEntry = instantiated.getTransitionMatrix().getRow(row).begin(); for(auto const& paramEntry : mdp->getTransitionMatrix().getRow(row)){ EXPECT_EQ(paramEntry.getColumn(), instantiatedEntry->getColumn()); double evaluatedValue = carl::toDouble(paramEntry.getValue().evaluate(valuation)); EXPECT_EQ(evaluatedValue, instantiatedEntry->getValue()); ++instantiatedEntry; } EXPECT_EQ(instantiated.getTransitionMatrix().getRow(row).end(),instantiatedEntry); } } EXPECT_EQ(mdp->getStateLabeling(), instantiated.getStateLabeling()); EXPECT_EQ(mdp->getOptionalChoiceLabeling(), instantiated.getOptionalChoiceLabeling());
storm::modelchecker::SparseMdpPrctlModelChecker<storm::models::sparse::Mdp<double>> modelchecker(instantiated); std::unique_ptr<storm::modelchecker::CheckResult> chkResult = modelchecker.check(*formulas[0]); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeChkResult = chkResult->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.3526577219, quantitativeChkResult[*instantiated.getInitialStates().begin()], storm::settings::getModule<storm::settings::modules::GeneralSettings>().getPrecision()); }
#endif
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