fixes after updated pycarl and storm

CHANGELOG.md

@@ -0,0 +1,15 @@
+Changelog
+==============
+
+Version 0.9
+-----------
+
+### Version 0.9.1 (2017/4)
+
+- Bindings for DFTs
+- Bindings for PLA
+- Updated to pycarl v2 (support for both cln and gmp)
+- Improved building system, read flags from storm build system
+
+### Version 0.9 (2017/3)
+Start of this changelog

src/core/analysis.cpp

@@ -0,0 +1,14 @@
+#include "analysis.h"
+
+#include "storm/analysis/GraphConditions.h"
+
+// Define python bindings
+void define_graph_constraints(py::module& m) {
+    py::class_<storm::analysis::ConstraintCollector<storm::RationalFunction>>(m, "ConstraintCollector", "Collects constraints on parametric Markov chains")
+            .def(py::init<storm::models::sparse::Dtmc<storm::RationalFunction>>(), "model"_a)
+            .def_property_readonly("wellformed_constraints", &storm::analysis::ConstraintCollector<storm::RationalFunction>::getWellformedConstraints)
+            .def_property_readonly("graph_preserving_constraints", &storm::analysis::ConstraintCollector<storm::RationalFunction>::getGraphPreservingConstraints)
+    ;
+
+
+}

src/core/analysis.h

@@ -0,0 +1,5 @@
+#pragma once
+#include "common.h"
+
+
+void define_graph_constraints(py::module& m);

src/core/modelchecking.cpp

@@ -7,12 +7,8 @@ std::shared_ptr<storm::modelchecker::CheckResult> modelChecking(std::shared_ptr<
 }
 
 // Thin wrapper for parametric model checking
-std::shared_ptr<PmcResult> parametricModelChecking(std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula const> const& formula) {
-    std::shared_ptr<PmcResult> result = std::make_shared<PmcResult>(storm::verifySparseModel<storm::RationalFunction>(model, formula));
-    storm::models::sparse::Dtmc<storm::RationalFunction>::ConstraintCollector constraintCollector(*(model->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>()));
-    result->setConstraintsWellFormed(constraintCollector.getWellformedConstraints());
-    result->setConstraintsGraphPreserving(constraintCollector.getGraphPreservingConstraints());
-    return result;
+std::shared_ptr<storm::modelchecker::CheckResult> parametricModelChecking(std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula const> const& formula) {
+    return storm::verifySparseModel<storm::RationalFunction>(model, formula);
 }
 
 // Thin wrapper for computing prob01 states

src/core/result.cpp

@@ -9,14 +9,6 @@ std::vector<ValueType> getValues(storm::modelchecker::ExplicitQuantitativeCheckR
 // Define python bindings
 void define_result(py::module& m) {
 
-    // PmcResult
-    py::class_<PmcResult, std::shared_ptr<PmcResult>>(m, "PmcResult", "Holds the result and additional constraints after parametric model checking")
-        .def("__str__", &PmcResult::toString)
-        .def_property_readonly("result", &PmcResult::getResult, "Result")
-        .def_property_readonly("constraints_well_formed", &PmcResult::getConstraintsWellFormed, "Constraints ensuring well-formed probabilities")
-        .def_property_readonly("constraints_graph_preserving", &PmcResult::getConstraintsGraphPreserving, "Constraints ensuring graph preservation")
-    ;
-
     // CheckResult
     py::class_<storm::modelchecker::CheckResult, std::shared_ptr<storm::modelchecker::CheckResult>> checkResult(m, "_CheckResult", "Base class for all modelchecking results");
     checkResult.def_property_readonly("_symbolic", &storm::modelchecker::CheckResult::isSymbolic, "Flag if result is symbolic")

src/core/result.h

@@ -3,51 +3,7 @@
 
 #include "common.h"
 
-// Class holding the parametric model checking result
-class PmcResult {
-    private:
-        std::shared_ptr<storm::modelchecker::CheckResult> checkResult;
-        std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> constraintsWellFormed;
-        std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> constraintsGraphPreserving;
 
-    public:
-        PmcResult(std::shared_ptr<storm::modelchecker::CheckResult> _checkResult) : checkResult(_checkResult) {
-        }
-
-        std::shared_ptr<storm::modelchecker::CheckResult> getResult() {
-            return checkResult;
-        }
-
-        std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> getConstraintsWellFormed() const {
-            return constraintsWellFormed;
-        }
-
-        void setConstraintsWellFormed(std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> _constraintsWellFormed) {
-            this->constraintsWellFormed = _constraintsWellFormed;
-        }
-
-        std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> getConstraintsGraphPreserving() const {
-            return constraintsGraphPreserving;
-        }
-        
-        void setConstraintsGraphPreserving(std::unordered_set<storm::ArithConstraint<storm::RationalFunction>> _constraintsGraphPreserving) {
-            this->constraintsGraphPreserving = _constraintsGraphPreserving;
-        }
-
-        std::string toString() {
-            std::stringstream stream;
-            stream << *checkResult << std::endl;
-            stream << "Well formed constraints:" << std::endl;
-            for (auto constraint : constraintsWellFormed) {
-                stream << constraint << std::endl;
-            }
-            stream << "Graph preserving constraints:" << std::endl;
-            for (auto constraint : constraintsGraphPreserving) {
-                stream << constraint << std::endl;
-            }
-            return stream.str();
-        }
-};
 
 void define_result(py::module& m);
 

tests/core/test_bisimulation.py

@@ -50,7 +50,7 @@ class TestBisimulation:
         assert initial_state == 0
 
         result = stormpy.model_checking(model, properties[0])
-        ratFunc = result.result.at(initial_state)
+        ratFunc = result.at(initial_state)
 
         model_bisim = stormpy.perform_bisimulation(model, properties, stormpy.BisimulationType.STRONG)
         assert model_bisim.nr_states == 324
@@ -61,5 +61,5 @@ class TestBisimulation:
         result_bisim = stormpy.model_checking(model_bisim, properties[0])
         initial_state_bisim = model_bisim.initial_states[0]
         assert initial_state_bisim == 316
-        ratFunc_bisim = result_bisim.result.at(initial_state_bisim)
+        ratFunc_bisim = result_bisim.at(initial_state_bisim)
         assert ratFunc == ratFunc_bisim

tests/core/test_core.py

@@ -8,7 +8,7 @@ class TestCore:
         import pycarl.cln
         import pycarl.gmp
         import pycarl.formula
-        import pycarl.parse
+        import pycarl.gmp.parse
         pol1 = pycarl.gmp.FactorizedPolynomial(32)
         pol2 = pycarl.gmp.FactorizedPolynomial(2)
         rat = pycarl.gmp.FactorizedRationalFunction(pol1, pol2)

tests/core/test_modelchecking.py

@@ -47,15 +47,15 @@ class TestModelChecking:
         initial_state = model.initial_states[0]
         assert initial_state == 0
         result = stormpy.model_checking(model, formulas[0])
-        func = result.result.at(initial_state)
+        func = result.at(initial_state)
         one = pycarl.cln.FactorizedPolynomial(pycarl.cln.Rational(1))
         assert func.denominator == one
-        constraints_well_formed = result.constraints_well_formed
-        for constraint in constraints_well_formed:
-            assert constraint.rel() == pycarl.formula.Relation.GEQ or constraint.rel() == pycarl.formula.Relation.LEQ
-        constraints_graph_preserving = result.constraints_graph_preserving
-        for constraint in constraints_graph_preserving:
-            assert constraint.rel() == pycarl.formula.Relation.GREATER
+        #constraints_well_formed = result.constraints_well_formed
+        # for constraint in constraints_well_formed:
+        #     assert constraint.rel() == pycarl.formula.Relation.GEQ or constraint.rel() == pycarl.formula.Relation.LEQ
+        # constraints_graph_preserving = result.constraints_graph_preserving
+        # for constraint in constraints_graph_preserving:
+        #     assert constraint.rel() == pycarl.formula.Relation.GREATER
 
     def test_model_checking_prob01(self):
         program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))

tests/storage/test_matrix.py

@@ -98,7 +98,7 @@ class TestMatrix:
             assert e.value() == one or len(e.value().gather_variables()) > 0
         # First model checking
         result = stormpy.model_checking(model, formulas[0])
-        ratFunc = result.result.at(initial_state)
+        ratFunc = result.at(initial_state)
         assert len(ratFunc.gather_variables()) > 0
         
         # Change probabilities
@@ -112,5 +112,5 @@ class TestMatrix:
             assert e.value() == new_val or e.value() == one
         # Second model checking
         result = stormpy.model_checking(model, formulas[0])
-        ratFunc = result.result.at(initial_state)
+        ratFunc = result.at(initial_state)
         assert len(ratFunc.gather_variables()) == 0