Storm 1.10.0.1
A Modern Probabilistic Model Checker
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SparseDerivativeInstantiationModelCheckerTest.cpp
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1#include "carl/core/RationalFunction.h"
2#include "storm-config.h"
3#include "test/storm_gtest.h"
4
11#include "storm/api/builder.h"
12#include "storm/api/storm.h"
24
25namespace {
26class RationalGmmxxEnvironment {
27 public:
29 typedef storm::RationalNumber ConstantType;
30 static storm::Environment createEnvironment() {
32 env.solver().setLinearEquationSolverType(storm::solver::EquationSolverType::Gmmxx);
33 return env;
34 }
35};
36class DoubleGmmxxEnvironment {
37 public:
39 typedef double ConstantType;
40 static storm::Environment createEnvironment() {
42 env.solver().setLinearEquationSolverType(storm::solver::EquationSolverType::Gmmxx);
43 return env;
44 }
45};
46class RationalEigenEnvironment {
47 public:
49 typedef storm::RationalNumber ConstantType;
50 static storm::Environment createEnvironment() {
52 env.solver().setLinearEquationSolverType(storm::solver::EquationSolverType::Eigen);
53 return env;
54 }
55};
56class DoubleEigenEnvironment {
57 public:
59 typedef double ConstantType;
60 static storm::Environment createEnvironment() {
62 env.solver().setLinearEquationSolverType(storm::solver::EquationSolverType::Eigen);
63 return env;
64 }
65};
66template<typename TestType>
67class SparseDerivativeInstantiationModelCheckerTest : public ::testing::Test {
68 public:
69 typedef typename TestType::ValueType ValueType;
70 typedef typename TestType::ConstantType ConstantType;
71 template<typename ValueType>
73 template<typename ValueType>
75 template<typename ValueType>
76 using Instantiation = std::map<VariableType<storm::RationalFunction>, CoefficientType<storm::RationalFunction>>;
77 template<typename ValueType>
78 using ResultMap = std::map<VariableType<storm::RationalFunction>, ConstantType>;
79 SparseDerivativeInstantiationModelCheckerTest() : _environment(TestType::createEnvironment()) {}
80 storm::Environment const& env() const {
81 return _environment;
82 }
83 virtual void SetUp() {
84#ifndef STORM_HAVE_Z3
85 GTEST_SKIP() << "Z3 not available.";
86#endif
87 carl::VariablePool::getInstance().clear();
88 }
89 virtual void TearDown() {
90 carl::VariablePool::getInstance().clear();
91 }
93 std::vector<std::shared_ptr<const storm::logic::Formula>> formulas, storm::RationalFunction reachabilityFunction);
94
95 private:
96 storm::Environment _environment;
97};
98
99typedef ::testing::Types<
100#ifdef STORM_HAVE_GMM
101 RationalGmmxxEnvironment, DoubleGmmxxEnvironment,
102#endif
103 RationalEigenEnvironment, DoubleEigenEnvironment>
105} // namespace
106
107TYPED_TEST_SUITE(SparseDerivativeInstantiationModelCheckerTest, TestingTypes, );
108
109template<typename TestType>
110void SparseDerivativeInstantiationModelCheckerTest<TestType>::testModel(std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc,
111 std::vector<std::shared_ptr<const storm::logic::Formula>> formulas,
112 storm::RationalFunction reachabilityFunction) {
113 auto formulaWithoutBound = std::make_shared<storm::logic::ProbabilityOperatorFormula>(
114 formulas[0]->asProbabilityOperatorFormula().getSubformula().asSharedPointer(), storm::logic::OperatorInformation(boost::none, boost::none));
115
118
119 std::map<VariableType<storm::RationalFunction>, storm::RationalFunction> derivatives;
120 for (auto const& parameter : parameters) {
121 derivatives[parameter] = reachabilityFunction.derivative(parameter);
122 }
123
124 // Generate test cases.
125 std::vector<Instantiation<storm::RationalFunction>> testInstantiations;
126 Instantiation<storm::RationalFunction> emptyInstantiation;
127 testInstantiations.push_back(emptyInstantiation);
128 for (auto const& param : parameters) {
129 std::vector<Instantiation<storm::RationalFunction>> newInstantiations;
130 for (auto point : testInstantiations) {
131 for (typename TestType::ConstantType x = storm::utility::convertNumber<ConstantType>(1e-6); x <= 1;
132 x += (1 - storm::utility::convertNumber<ConstantType>(1e-6)) / 10) {
133 std::map<VariableType<storm::RationalFunction>, CoefficientType<storm::RationalFunction>> newMap(point);
134 newMap[param] = storm::utility::convertNumber<CoefficientType<storm::RationalFunction>>(x);
135 newInstantiations.push_back(newMap);
136 }
137 }
138 testInstantiations = newInstantiations;
139 }
140
141 // The test cases we are going to study. Left are the actual instantiations, right are the maps
142 // for the results (which happen to share the same type).
143 std::map<Instantiation<storm::RationalFunction>, ResultMap<storm::RationalFunction>> testCases;
144 for (auto const& instantiation : testInstantiations) {
145 ResultMap<storm::RationalFunction> resultMap;
146 for (auto const& entry : instantiation) {
147 auto parameter = entry.first;
148 auto derivativeWrtParameter = derivatives[parameter];
149 resultMap[parameter] = storm::utility::parametric::evaluate<typename TestType::ConstantType>(derivativeWrtParameter, instantiation);
150 }
151 testCases[instantiation] = resultMap;
152 }
153
154 auto checkTask = storm::modelchecker::CheckTask<storm::logic::Formula, ValueType>(*formulaWithoutBound);
155 derivativeModelChecker.specifyFormula(env(), checkTask);
156
157 for (auto const& testCase : testCases) {
158 Instantiation<ValueType> instantiation = testCase.first;
159 for (auto const& position : instantiation) {
160 auto parameter = position.first;
161 auto parameterValue = position.second;
162 auto expectedResult = testCase.second.at(parameter);
163
164 auto derivative = derivativeModelChecker.check(env(), instantiation, parameter);
165 ASSERT_NEAR(storm::utility::convertNumber<double>(derivative->getValueVector()[0]), storm::utility::convertNumber<double>(expectedResult), 1e-6)
166 << instantiation;
167 }
168 }
169}
170
171// A very simple DTMC
172TYPED_TEST(SparseDerivativeInstantiationModelCheckerTest, Simple) {
173 std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/gradient1.pm";
174 std::string formulaAsString = "Pmax=? [F s=2]";
175 std::string constantsAsString = ""; // e.g. pL=0.9,TOACK=0.5
176
177 // We have to create the dtmc and formulas here, because we need its parameters to create the polynomial
178 storm::prism::Program program = storm::api::parseProgram(programFile);
179 program = storm::utility::prism::preprocess(program, constantsAsString);
180 std::vector<std::shared_ptr<const storm::logic::Formula>> formulas =
182 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model =
183 storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
184 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = model->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
186 ASSERT_TRUE(simplifier.simplify(*(formulas[0])));
187 model = simplifier.getSimplifiedModel();
189
190 // The associated polynomial. In this case, it's p * (1 - p).
191 carl::Variable varP = carl::VariablePool::getInstance().findVariableWithName("p");
192 std::shared_ptr<storm::RawPolynomialCache> cache = std::make_shared<storm::RawPolynomialCache>();
194 storm::RationalFunction reachabilityFunction = p * (storm::RationalFunction(1) - p);
195
196 this->testModel(dtmc, formulas, reachabilityFunction);
197}
198
199// A very simple DTMC with two parameters
200TYPED_TEST(SparseDerivativeInstantiationModelCheckerTest, Simple2) {
201 std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/gradient2.pm";
202 std::string formulaAsString = "Pmax=? [F s=2]";
203 std::string constantsAsString = ""; // e.g. pL=0.9,TOACK=0.5
204
205 // We have to create the dtmc and formulas here, because we need its parameters to create the polynomial
206 storm::prism::Program program = storm::api::parseProgram(programFile);
207 program = storm::utility::prism::preprocess(program, constantsAsString);
208 std::vector<std::shared_ptr<const storm::logic::Formula>> formulas =
210 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model =
211 storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
212 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = model->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
214 ASSERT_TRUE(simplifier.simplify(*(formulas[0])));
215 model = simplifier.getSimplifiedModel();
217
218 // The associated polynomial. In this case, it's p * (1 - q).
219 carl::Variable varP = carl::VariablePool::getInstance().findVariableWithName("p");
220 carl::Variable varQ = carl::VariablePool::getInstance().findVariableWithName("q");
221 std::shared_ptr<storm::RawPolynomialCache> cache = std::make_shared<storm::RawPolynomialCache>();
224 storm::RationalFunction reachabilityFunction = p * (storm::RationalFunction(1) - q);
225
226 this->testModel(dtmc, formulas, reachabilityFunction);
227}
228
229// The bounded retransmission protocol
230TYPED_TEST(SparseDerivativeInstantiationModelCheckerTest, Brp162) {
231 std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp16_2.pm";
232 std::string formulaAsString = "Pmax=? [F s=4 & i=N ]";
233 std::string constantsAsString = ""; // e.g. pL=0.9,TOACK=0.5
234
235 // We have to create the dtmc and formulas here, because we need its parameters to create the polynomial
236 storm::prism::Program program = storm::api::parseProgram(programFile);
237 program = storm::utility::prism::preprocess(program, constantsAsString);
238 std::vector<std::shared_ptr<const storm::logic::Formula>> formulas =
240 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model =
241 storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
242 std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = model->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
244 ASSERT_TRUE(simplifier.simplify(*(formulas[0])));
245 model = simplifier.getSimplifiedModel();
247
248 carl::Variable pLVar = carl::VariablePool::getInstance().findVariableWithName("pL");
249 carl::Variable pKVar = carl::VariablePool::getInstance().findVariableWithName("pK");
250 std::shared_ptr<storm::RawPolynomialCache> cache = std::make_shared<storm::RawPolynomialCache>();
253
254 // The term is ((pK)^16 * (pL)^16 * (pK^2*pL^2+(-3)*pK*pL+3)^16)/(1), so we're just going to create this here.
255 auto firstTerm = pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK * pK;
256 auto secondTerm = pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL * pL;
257 auto thirdTermUnpowed = pK * pK * pL * pL + (-3) * pK * pL + 3;
258 auto thirdTerm = thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed *
259 thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed * thirdTermUnpowed *
260 thirdTermUnpowed * thirdTermUnpowed;
261 storm::RationalFunction reachabilityFunction = firstTerm * secondTerm * thirdTerm;
262
263 this->testModel(dtmc, formulas, reachabilityFunction);
264}
TYPED_TEST(SparseDerivativeInstantiationModelCheckerTest, Simple)
TYPED_TEST_SUITE(SparseDerivativeInstantiationModelCheckerTest, TestingTypes,)
void testModel(std::string programFile, std::string formulaAsString, std::string constantsAsString)
SolverEnvironment & solver()
void setLinearEquationSolverType(storm::solver::EquationSolverType const &value, bool isSetFromDefault=false)
std::shared_ptr< ModelType > as()
Casts the model into the model type given by the template parameter.
Definition ModelBase.h:36
This class represents a discrete-time Markov chain.
Definition Dtmc.h:14
This class performs different steps to simplify the given (parametric) model.
std::vector< storm::jani::Property > parsePropertiesForPrismProgram(std::string const &inputString, storm::prism::Program const &program, boost::optional< std::set< std::string > > const &propertyFilter)
storm::prism::Program parseProgram(std::string const &filename, bool prismCompatibility, bool simplify)
std::vector< std::shared_ptr< storm::logic::Formula const > > extractFormulasFromProperties(std::vector< storm::jani::Property > const &properties)
typename utility::parametric::VariableType< FunctionType >::type VariableType
typename utility::parametric::CoefficientType< FunctionType >::type CoefficientType
SFTBDDChecker::ValueType ValueType
std::set< storm::RationalFunctionVariable > getProbabilityParameters(Model< storm::RationalFunction > const &model)
Get all probability parameters occurring on transitions.
Definition Model.cpp:703
storm::prism::Program preprocess(storm::prism::Program const &program, std::map< storm::expressions::Variable, storm::expressions::Expression > const &constantDefinitions)
Definition prism.cpp:19
carl::RationalFunction< Polynomial, true > RationalFunction
carl::MultivariatePolynomial< RationalFunctionCoefficient > RawPolynomial
::testing::Types< Cudd, Sylvan > TestingTypes
Definition GraphTest.cpp:46