reward models from drn files

doc/source/reward_models.rst

@@ -22,6 +22,7 @@ We consider the die again, but with another property which talks about the expec
     >>> assert len(model.reward_models) == 1
 
 The model now has a reward model, as the property talks about rewards.
+When :doc:`building_models` from explicit sources, the reward model is always included if it is defined in the source.
 We can do model checking analogous to probabilities::
 
 
@@ -61,4 +62,3 @@ In this example, we only have state-action rewards. These rewards are a vector,
     0.0
 
 
-

examples/reward_models/01-reward-models.py

@@ -24,7 +24,9 @@ def example_reward_models_01():
         print(reward)
     assert not model.reward_models[reward_model_name].has_transition_rewards
 
-
+    model = stormpy.build_parametric_model_from_drn(stormpy.examples.files.drn_pdtmc_die)
+    assert len(model.reward_models) == 1
+    assert reward_model_name == "coin_flips"
 
 if __name__ == '__main__':
     example_reward_models_01()

lib/stormpy/examples/files/pdtmc/die.drn

@@ -4,35 +4,35 @@
 @parameters
 p q 
 @reward_models
-
+coin_flips
 @nr_states
 13
 @model
-state 0 init
+state 0 init [1]
 	action 0
 		1 : p
 		2 : (-1)*p+1
-state 1
+state 1 [1]
 	action 0
 		3 : q
 		4 : (-1)*q+1
-state 2
+state 2 [1]
 	action 0
 		5 : q
 		6 : (-1)*q+1
-state 3
+state 3 [1]
 	action 0
 		1 : p
 		7 : (-1)*p+1
-state 4
+state 4 [1]
 	action 0
 		8 : p
 		9 : (-1)*p+1
-state 5
+state 5 [1]
 	action 0
 		2 : p
 		10 : (-1)*p+1
-state 6
+state 6 [1]
 	action 0
 		11 : p
 		12 : (-1)*p+1