Renamed preprocess_prism_program to preprocess_symbolic_input

src/core/input.cpp

@@ -24,7 +24,7 @@ void define_input(py::module& m) {
             return storm::api::parseJaniModel(path);
         }, "Parse Jani model", py::arg("path"));
 
-    m.def("preprocess_prism_program", [](storm::storage::SymbolicModelDescription const& input, std::vector<storm::jani::Property> properties, std::string constantDefinitionString){
+    m.def("preprocess_symbolic_input", [](storm::storage::SymbolicModelDescription const& input, std::vector<storm::jani::Property> properties, std::string constantDefinitionString){
             // Substitute constant definitions in symbolic input.
             std::map<storm::expressions::Variable, storm::expressions::Expression> constantDefinitions;
             storm::storage::SymbolicModelDescription output;
@@ -36,7 +36,7 @@ void define_input(py::module& m) {
             }
             //ensureNoUndefinedPropertyConstants(outputProperties);
             return std::pair<storm::storage::SymbolicModelDescription, std::vector<storm::jani::Property>>(output, outputProperties);
-        }, "Preprocess Prism program", py::arg("prism_program"), py::arg("properties"), py::arg("constant_definition_string"));
+        }, "Preprocess symoblic input", py::arg("symbolic_model_description"), py::arg("properties"), py::arg("constant_definition_string"));
 
     // JaniType
     py::enum_<storm::jani::ModelType>(m, "JaniModelType", "Type of the Jani model")

tests/gspn/test_gspn_io.py

@@ -50,9 +50,8 @@ class TestGSPNJani:
         properties = jani_builder.create_deadlock_properties(jani_program)
 
         # Instantiate constants
-        description = stormpy.SymbolicModelDescription(jani_program)
-        constant_definitions = description.parse_constant_definitions("TIME_BOUND=1")
-        jani_program = description.instantiate_constants(constant_definitions).as_jani_model()
+        jani_program, properties = stormpy.preprocess_symbolic_input(jani_program, properties, "TIME_BOUND=1")
+        jani_program = jani_program.as_jani_model()
 
         # Build model
         # Leads to incorrect result
@@ -64,8 +63,7 @@ class TestGSPNJani:
         assert initial_state == 0
         result = stormpy.model_checking(model, properties[0])
         assert math.isclose(result.at(initial_state), 1.0)
-        # Not parsable
-        #result = stormpy.model_checking(model, properties[1])
-        #assert math.isclose(result.at(initial_state), 0.09123940783)
+        result = stormpy.model_checking(model, properties[1])
+        assert math.isclose(result.at(initial_state), 0.09123940783)
         result = stormpy.model_checking(model, properties[2])
         assert math.isclose(result.at(initial_state), 5.445544554455446)

tests/pars/test_parametric_model.py

@@ -22,7 +22,7 @@ class TestSparseParametricModel:
     def test_build_parametric_dtmc_preprocess(self):
         program = stormpy.parse_prism_program(get_example_path("pdtmc", "herman5.pm"))
         formulas = stormpy.parse_properties_for_prism_program("R=? [ F \"stable\" ]", program)
-        trans_program, trans_formulas = stormpy.preprocess_prism_program(program, formulas, "")
+        trans_program, trans_formulas = stormpy.preprocess_symbolic_input(program, formulas, "")
         trans_prism = trans_program.as_prism_program()
         model = stormpy.build_parametric_model(trans_prism, trans_formulas)
         assert model.nr_states == 33
@@ -70,7 +70,7 @@ class TestSymbolicParametricModel:
     def test_build_parametric_dtmc_preprocess(self):
         program = stormpy.parse_prism_program(get_example_path("pdtmc", "herman5.pm"))
         formulas = stormpy.parse_properties_for_prism_program("R=? [ F \"stable\" ]", program)
-        trans_program, trans_formulas = stormpy.preprocess_prism_program(program, formulas, "")
+        trans_program, trans_formulas = stormpy.preprocess_symbolic_input(program, formulas, "")
         trans_prism = trans_program.as_prism_program()
         model = stormpy.build_symbolic_parametric_model(trans_prism, trans_formulas)
         assert model.nr_states == 33