make sure examples run through again

examples/01-getting-started.py

@@ -4,10 +4,14 @@ import stormpy.core
 import stormpy.examples
 import stormpy.examples.files
 
+def example_getting_started_01():
     path = stormpy.examples.files.prism_dtmc_die
     prism_program = stormpy.parse_prism_program(path)
 
     model = stormpy.build_model(prism_program)
     print("Number of states: {}".format(model.nr_states))
     print("Number of transitions: {}".format(model.nr_transitions))
-print("Labels: {}".format(model.labels))
+    print("Labels: {}".format(model.labeling.get_labels()))
+
+if __name__ == 'main':
+    example_getting_started_01()

examples/02-getting-started.py

@@ -4,6 +4,7 @@ import stormpy.core
 import stormpy.examples
 import stormpy.examples.files
 
+def example_getting_started_02():
     path = stormpy.examples.files.prism_dtmc_die
     prism_program = stormpy.parse_prism_program(path)
 
@@ -11,14 +12,14 @@ prism_program = stormpy.parse_prism_program(path)
     model = stormpy.build_model(prism_program)
     print("Number of states: {}".format(model.nr_states))
     print("Number of transitions: {}".format(model.nr_transitions))
-print("Labels in the model: {}".format(model.labels))
+    print("Labels in the model: {}".format(model.labeling.get_labels()))
 
     formula_str = "P=? [F s=2]"
     properties = stormpy.parse_properties_for_prism_program(formula_str, prism_program)
     model_for_formula = stormpy.build_model(prism_program, properties)
     print("Number of states: {}".format(model_for_formula.nr_states))
     print("Number of transitions: {}".format(model_for_formula.nr_transitions))
-print("Labels in the model: {}".format(model_for_formula.labels))
+    print("Labels in the model: {}".format(model_for_formula.labeling.get_labels()))
 
 
     formula_str_2 = "P=? [F s=7 & d=2]"
@@ -26,4 +27,7 @@ properties_2 = stormpy.parse_properties_for_prism_program(formula_str_2, prism_p
     model_for_formula_2 = stormpy.build_model(prism_program, properties_2)
     print("Number of states: {}".format(model_for_formula_2.nr_states))
     print("Number of transitions: {}".format(model_for_formula_2.nr_transitions))
-print("Labels in the model: {}".format(model_for_formula_2.labels))
+    print("Labels in the model: {}".format(model_for_formula_2.labeling.get_labels()))
+
+if __name__ == 'main':
+    example_getting_started_02()

examples/03-getting-started.py

@@ -4,6 +4,7 @@ import stormpy.core
 import stormpy.examples
 import stormpy.examples.files
 
+def example_getting_started_03():
     path = stormpy.examples.files.prism_dtmc_die
     prism_program = stormpy.parse_prism_program(path)
 
@@ -16,3 +17,6 @@ print(result)
     assert result.result_for_all_states
     for x in result.get_values():
         print(x)
+
+if __name__ == 'main':
+    example_getting_started_03()

examples/04-getting-started.py

@@ -1,5 +1,6 @@
 import stormpy
 import stormpy.core
+import stormpy.pars
 
 import pycarl
 import pycarl.core
@@ -7,6 +8,7 @@ import pycarl.core
 import stormpy.examples
 import stormpy.examples.files
 
+def example_getting_started_04():
     path = stormpy.examples.files.prism_pdtmc_die
     prism_program = stormpy.parse_prism_program(path)
 
@@ -16,12 +18,14 @@ properties = stormpy.parse_properties_for_prism_program(formula_str, prism_progr
     model = stormpy.build_parametric_model(prism_program, properties)
     print("Model supports parameters: {}".format(model.supports_parameters))
 
-instantiator = stormpy.PdtmcInstantiator(model)
+    instantiator = stormpy.pars.PDtmcInstantiator(model)
     point = dict()
     parameters = model.collect_probability_parameters()
     for x in parameters:
         print(x.name)
-    point[x] = 0.4
+        point[x] = stormpy.RationalRF(0.4)
     instantiated_model = instantiator.instantiate(point)
     result = stormpy.model_checking(instantiated_model, properties[0])
 
+if __name__ == 'main':
+    example_getting_started_04()

lib/stormpy/__init__.py

@@ -4,6 +4,7 @@ from . import storage
 from .storage import *
 from .version import __version__
 from ._config import *
+from .logic import *
 
 from pycarl import Variable  # needed for building parametric models