bugfix: Add ABC to classes using @abstractmethod

rlgym/api/config/action_parser.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, Generic, List
 from ..typing import AgentID, ActionType, EngineActionType, StateType, ActionSpaceType
 
 
-class ActionParser(Generic[AgentID, ActionType, EngineActionType, StateType, ActionSpaceType]):
+class ActionParser(ABC, Generic[AgentID, ActionType, EngineActionType, StateType, ActionSpaceType]):
     """
     The action parser. This class is responsible for receiving actions from the agents and parsing them into a format
     supported by the TransitionEngine.

rlgym/api/config/done_condition.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, List, Generic
 from ..typing import AgentID, StateType
 
 
-class DoneCondition(Generic[AgentID, StateType]):
+class DoneCondition(ABC, Generic[AgentID, StateType]):
     """
     A termination/truncation condition. This class is responsible for determining when an episode should end for each agent.
     """

rlgym/api/config/obs_builder.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, List, Generic
 from ..typing import AgentID, ObsType, StateType, ObsSpaceType
 
 
-class ObsBuilder(Generic[AgentID, ObsType, StateType, ObsSpaceType]):
+class ObsBuilder(ABC, Generic[AgentID, ObsType, StateType, ObsSpaceType]):
     """
     The observation builder. This class is responsible for building observations for each agent in the environment.
     """

rlgym/api/config/renderer.py

@@ -1,12 +1,12 @@
 """
 An RLGym renderer.
 """
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, Generic
 from ..typing import StateType
 
 
-class Renderer(Generic[StateType]):
+class Renderer(ABC, Generic[StateType]):
     """
     The renderer class. This class is responsible for rendering a state.
     """

rlgym/api/config/reward_function.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, List, Generic
 from ..typing import AgentID, RewardType, StateType
 
 
-class RewardFunction(Generic[AgentID, StateType, RewardType]):
+class RewardFunction(ABC, Generic[AgentID, StateType, RewardType]):
     """
     The reward function. This class is responsible for computing the reward for each agent in the environment.
     """

rlgym/api/config/shared_info_provider.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Generic, Dict, Any, List
 from ..typing import AgentID, StateType
 
 
-class SharedInfoProvider(Generic[AgentID, StateType]):
+class SharedInfoProvider(ABC, Generic[AgentID, StateType]):
     """
     The shared information provider. This class is responsible for managing shared information across all config objects.
     """

rlgym/api/config/state_mutator.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, Generic
 from ..typing import StateType
 
 
-class StateMutator(Generic[StateType]):
+class StateMutator(ABC, Generic[StateType]):
     """
     The state mutator class. This class is responsible for modifying the state of the environment.
     """

rlgym/api/config/transition_engine.py

@@ -1,9 +1,9 @@
-from abc import abstractmethod
+from abc import abstractmethod, ABC
 from typing import Any, Dict, List, Generic
 from ..typing import AgentID, EngineActionType, StateType
 
 
-class TransitionEngine(Generic[AgentID, StateType, EngineActionType]):
+class TransitionEngine(ABC, Generic[AgentID, StateType, EngineActionType]):
     """
     The Transition Engine class. This class is responsible for managing the state of the environment and stepping the
     environment forward in time.