update mypy-protobuf and generate pyi files (#2757)

.circleci/config.yml

           command: |
             . venv/bin/activate
             pre-commit run --hook-stage manual markdown-link-check --all-files
-  
+
   protobuf_generation_check:
     docker:
       - image: circleci/python:3.7.3
             . venv/bin/activate
             pip install --upgrade pip
             pip install grpcio-tools==1.13.0  --progress-bar=off
-            pip install mypy-protobuf --progress-bar=off
+            pip install mypy-protobuf==1.16.0 --progress-bar=off
       - save_cache:
           paths:
             - ./venv

ml-agents-envs/mlagents/envs/communicator_objects/agent_action_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
+    vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
-    memories = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
-    value = ... # type: float
+    memories = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
+    value = ... # type: builtin___float
 
     @property
     def custom_action(self) -> mlagents___envs___communicator_objects___custom_action_pb2___CustomActionProto: ...
-        vector_actions : typing___Optional[typing___Iterable[float]] = None,
+        vector_actions : typing___Optional[typing___Iterable[builtin___float]] = None,
-        memories : typing___Optional[typing___Iterable[float]] = None,
-        value : typing___Optional[float] = None,
+        memories : typing___Optional[typing___Iterable[builtin___float]] = None,
+        value : typing___Optional[builtin___float] = None,
-    def FromString(cls, s: bytes) -> AgentActionProto: ...
+    def FromString(cls, s: builtin___bytes) -> AgentActionProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_action"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_action"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_action",b"custom_action"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_action",b"custom_action"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"custom_action",b"custom_action",u"memories",b"memories",u"text_actions",b"text_actions",u"value",b"value",u"vector_actions",b"vector_actions"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/agent_info_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    stacked_vector_observation = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
-    visual_observations = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[bytes]
+    stacked_vector_observation = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
+    visual_observations = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___bytes]
-    stored_vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
+    stored_vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
-    memories = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[float]
-    reward = ... # type: float
-    done = ... # type: bool
-    max_step_reached = ... # type: bool
-    id = ... # type: int
-    action_mask = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[bool]
+    memories = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
+    reward = ... # type: builtin___float
+    done = ... # type: builtin___bool
+    max_step_reached = ... # type: builtin___bool
+    id = ... # type: builtin___int
+    action_mask = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___bool]
 
     @property
     def custom_observation(self) -> mlagents___envs___communicator_objects___custom_observation_pb2___CustomObservationProto: ...
-        stacked_vector_observation : typing___Optional[typing___Iterable[float]] = None,
-        visual_observations : typing___Optional[typing___Iterable[bytes]] = None,
+        stacked_vector_observation : typing___Optional[typing___Iterable[builtin___float]] = None,
+        visual_observations : typing___Optional[typing___Iterable[builtin___bytes]] = None,
-        stored_vector_actions : typing___Optional[typing___Iterable[float]] = None,
+        stored_vector_actions : typing___Optional[typing___Iterable[builtin___float]] = None,
-        memories : typing___Optional[typing___Iterable[float]] = None,
-        reward : typing___Optional[float] = None,
-        done : typing___Optional[bool] = None,
-        max_step_reached : typing___Optional[bool] = None,
-        id : typing___Optional[int] = None,
-        action_mask : typing___Optional[typing___Iterable[bool]] = None,
+        memories : typing___Optional[typing___Iterable[builtin___float]] = None,
+        reward : typing___Optional[builtin___float] = None,
+        done : typing___Optional[builtin___bool] = None,
+        max_step_reached : typing___Optional[builtin___bool] = None,
+        id : typing___Optional[builtin___int] = None,
+        action_mask : typing___Optional[typing___Iterable[builtin___bool]] = None,
-    def FromString(cls, s: bytes) -> AgentInfoProto: ...
+    def FromString(cls, s: builtin___bytes) -> AgentInfoProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_observation"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_observation"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_observation",b"custom_observation"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_observation",b"custom_observation"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"action_mask",b"action_mask",u"custom_observation",b"custom_observation",u"done",b"done",u"id",b"id",u"max_step_reached",b"max_step_reached",u"memories",b"memories",u"reward",b"reward",u"stacked_vector_observation",b"stacked_vector_observation",u"stored_text_actions",b"stored_text_actions",u"stored_vector_actions",b"stored_vector_actions",u"text_observation",b"text_observation",u"visual_observations",b"visual_observations"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    vector_observation_size = ... # type: int
-    num_stacked_vector_observations = ... # type: int
-    vector_action_size = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[int]
+    vector_observation_size = ... # type: builtin___int
+    num_stacked_vector_observations = ... # type: builtin___int
+    vector_action_size = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
-    is_training = ... # type: bool
+    is_training = ... # type: builtin___bool
 
     @property
     def camera_resolutions(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[mlagents___envs___communicator_objects___resolution_pb2___ResolutionProto]: ...
-        vector_observation_size : typing___Optional[int] = None,
-        num_stacked_vector_observations : typing___Optional[int] = None,
-        vector_action_size : typing___Optional[typing___Iterable[int]] = None,
+        vector_observation_size : typing___Optional[builtin___int] = None,
+        num_stacked_vector_observations : typing___Optional[builtin___int] = None,
+        vector_action_size : typing___Optional[typing___Iterable[builtin___int]] = None,
-        is_training : typing___Optional[bool] = None,
+        is_training : typing___Optional[builtin___bool] = None,
-    def FromString(cls, s: bytes) -> BrainParametersProto: ...
+    def FromString(cls, s: builtin___bytes) -> BrainParametersProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/command_pb2.pyi

 )
 
 
-class CommandProto(int):
+builtin___int = int
+builtin___str = str
+
+
+class CommandProto(builtin___int):
-    def Name(cls, number: int) -> str: ...
+    def Name(cls, number: builtin___int) -> builtin___str: ...
-    def Value(cls, name: str) -> CommandProto: ...
+    def Value(cls, name: builtin___str) -> 'CommandProto': ...
-    def keys(cls) -> typing___List[str]: ...
+    def keys(cls) -> typing___List[builtin___str]: ...
-    def values(cls) -> typing___List[CommandProto]: ...
+    def values(cls) -> typing___List['CommandProto']: ...
-    def items(cls) -> typing___List[typing___Tuple[str, CommandProto]]: ...
-    STEP = typing___cast(CommandProto, 0)
-    RESET = typing___cast(CommandProto, 1)
-    QUIT = typing___cast(CommandProto, 2)
-STEP = typing___cast(CommandProto, 0)
-RESET = typing___cast(CommandProto, 1)
-QUIT = typing___cast(CommandProto, 2)
+    def items(cls) -> typing___List[typing___Tuple[builtin___str, 'CommandProto']]: ...
+    STEP = typing___cast('CommandProto', 0)
+    RESET = typing___cast('CommandProto', 1)
+    QUIT = typing___cast('CommandProto', 2)
+STEP = typing___cast('CommandProto', 0)
+RESET = typing___cast('CommandProto', 1)
+QUIT = typing___cast('CommandProto', 2)

ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.pyi

 )
 
 
+builtin___bytes = bytes
+
+
 class CustomActionProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
-    def FromString(cls, s: bytes) -> CustomActionProto: ...
+    def FromString(cls, s: builtin___bytes) -> CustomActionProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.pyi

 )
 
 
+builtin___bytes = bytes
+
+
 class CustomObservationProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
-    def FromString(cls, s: bytes) -> CustomObservationProto: ...
+    def FromString(cls, s: builtin___bytes) -> CustomObservationProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.pyi

 )
 
 
+builtin___bytes = bytes
+
+
 class CustomResetParametersProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
-    def FromString(cls, s: bytes) -> CustomResetParametersProto: ...
+    def FromString(cls, s: builtin___bytes) -> CustomResetParametersProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    api_version = ... # type: int
+    api_version = ... # type: builtin___int
-    number_steps = ... # type: int
-    number_episodes = ... # type: int
-    mean_reward = ... # type: float
+    number_steps = ... # type: builtin___int
+    number_episodes = ... # type: builtin___int
+    mean_reward = ... # type: builtin___float
-        api_version : typing___Optional[int] = None,
+        api_version : typing___Optional[builtin___int] = None,
-        number_steps : typing___Optional[int] = None,
-        number_episodes : typing___Optional[int] = None,
-        mean_reward : typing___Optional[float] = None,
+        number_steps : typing___Optional[builtin___int] = None,
+        number_episodes : typing___Optional[builtin___int] = None,
+        mean_reward : typing___Optional[builtin___float] = None,
-    def FromString(cls, s: bytes) -> DemonstrationMetaProto: ...
+    def FromString(cls, s: builtin___bytes) -> DemonstrationMetaProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    width = ... # type: int
-    height = ... # type: int
-    quality_level = ... # type: int
-    time_scale = ... # type: float
-    target_frame_rate = ... # type: int
-    show_monitor = ... # type: bool
+    width = ... # type: builtin___int
+    height = ... # type: builtin___int
+    quality_level = ... # type: builtin___int
+    time_scale = ... # type: builtin___float
+    target_frame_rate = ... # type: builtin___int
+    show_monitor = ... # type: builtin___bool
-        width : typing___Optional[int] = None,
-        height : typing___Optional[int] = None,
-        quality_level : typing___Optional[int] = None,
-        time_scale : typing___Optional[float] = None,
-        target_frame_rate : typing___Optional[int] = None,
-        show_monitor : typing___Optional[bool] = None,
+        width : typing___Optional[builtin___int] = None,
+        height : typing___Optional[builtin___int] = None,
+        quality_level : typing___Optional[builtin___int] = None,
+        time_scale : typing___Optional[builtin___float] = None,
+        target_frame_rate : typing___Optional[builtin___int] = None,
+        show_monitor : typing___Optional[builtin___bool] = None,
-    def FromString(cls, s: bytes) -> EngineConfigurationProto: ...
+    def FromString(cls, s: builtin___bytes) -> EngineConfigurationProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-        value = ... # type: float
+        value = ... # type: builtin___float
-            value : typing___Optional[float] = None,
+            value : typing___Optional[builtin___float] = None,
-        def FromString(cls, s: bytes) -> EnvironmentParametersProto.FloatParametersEntry: ...
+        def FromString(cls, s: builtin___bytes) -> EnvironmentParametersProto.FloatParametersEntry: ...
         def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         if sys.version_info >= (3,):
 
 
     @property
-    def float_parameters(self) -> typing___MutableMapping[typing___Text, float]: ...
+    def float_parameters(self) -> typing___MutableMapping[typing___Text, builtin___float]: ...
 
     @property
     def custom_reset_parameters(self) -> mlagents___envs___communicator_objects___custom_reset_parameters_pb2___CustomResetParametersProto: ...
-        float_parameters : typing___Optional[typing___Mapping[typing___Text, float]] = None,
+        float_parameters : typing___Optional[typing___Mapping[typing___Text, builtin___float]] = None,
-    def FromString(cls, s: bytes) -> EnvironmentParametersProto: ...
+    def FromString(cls, s: builtin___bytes) -> EnvironmentParametersProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",b"custom_reset_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",b"custom_reset_parameters"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"custom_reset_parameters",b"custom_reset_parameters",u"float_parameters",b"float_parameters"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    status = ... # type: int
+    status = ... # type: builtin___int
-        status : typing___Optional[int] = None,
+        status : typing___Optional[builtin___int] = None,
-    def FromString(cls, s: bytes) -> HeaderProto: ...
+    def FromString(cls, s: builtin___bytes) -> HeaderProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/resolution_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    width = ... # type: int
-    height = ... # type: int
-    gray_scale = ... # type: bool
+    width = ... # type: builtin___int
+    height = ... # type: builtin___int
+    gray_scale = ... # type: builtin___bool
-        width : typing___Optional[int] = None,
-        height : typing___Optional[int] = None,
-        gray_scale : typing___Optional[bool] = None,
+        width : typing___Optional[builtin___int] = None,
+        height : typing___Optional[builtin___int] = None,
+        gray_scale : typing___Optional[builtin___bool] = None,
-    def FromString(cls, s: bytes) -> ResolutionProto: ...
+    def FromString(cls, s: builtin___bytes) -> ResolutionProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/space_type_pb2.pyi

 )
 
 
-class SpaceTypeProto(int):
+builtin___int = int
+builtin___str = str
+
+
+class SpaceTypeProto(builtin___int):
-    def Name(cls, number: int) -> str: ...
+    def Name(cls, number: builtin___int) -> builtin___str: ...
-    def Value(cls, name: str) -> SpaceTypeProto: ...
+    def Value(cls, name: builtin___str) -> 'SpaceTypeProto': ...
-    def keys(cls) -> typing___List[str]: ...
+    def keys(cls) -> typing___List[builtin___str]: ...
-    def values(cls) -> typing___List[SpaceTypeProto]: ...
+    def values(cls) -> typing___List['SpaceTypeProto']: ...
-    def items(cls) -> typing___List[typing___Tuple[str, SpaceTypeProto]]: ...
-    discrete = typing___cast(SpaceTypeProto, 0)
-    continuous = typing___cast(SpaceTypeProto, 1)
-discrete = typing___cast(SpaceTypeProto, 0)
-continuous = typing___cast(SpaceTypeProto, 1)
+    def items(cls) -> typing___List[typing___Tuple[builtin___str, 'SpaceTypeProto']]: ...
+    discrete = typing___cast('SpaceTypeProto', 0)
+    continuous = typing___cast('SpaceTypeProto', 1)
+discrete = typing___cast('SpaceTypeProto', 0)
+continuous = typing___cast('SpaceTypeProto', 1)

ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityInputProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
         rl_initialization_input : typing___Optional[mlagents___envs___communicator_objects___unity_rl_initialization_input_pb2___UnityRLInitializationInputProto] = None,
         ) -> None: ...
     @classmethod
-    def FromString(cls, s: bytes) -> UnityInputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityInputProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",u"rl_input"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",u"rl_input"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",b"rl_initialization_input",u"rl_input",b"rl_input"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",b"rl_initialization_input",u"rl_input",b"rl_input"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_input",b"rl_initialization_input",u"rl_input",b"rl_input"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityMessageProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
         unity_input : typing___Optional[mlagents___envs___communicator_objects___unity_input_pb2___UnityInputProto] = None,
         ) -> None: ...
     @classmethod
-    def FromString(cls, s: bytes) -> UnityMessageProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityMessageProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"header",u"unity_input",u"unity_output"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"header",u"unity_input",u"unity_output"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityOutputProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
 
         rl_initialization_output : typing___Optional[mlagents___envs___communicator_objects___unity_rl_initialization_output_pb2___UnityRLInitializationOutputProto] = None,
         ) -> None: ...
     @classmethod
-    def FromString(cls, s: bytes) -> UnityOutputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityOutputProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",u"rl_output"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",u"rl_output"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",b"rl_initialization_output",u"rl_output",b"rl_output"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",b"rl_initialization_output",u"rl_output",b"rl_output"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"rl_initialization_output",b"rl_initialization_output",u"rl_output",b"rl_output"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
-    seed = ... # type: int
+    seed = ... # type: builtin___int
-        seed : typing___Optional[int] = None,
+        seed : typing___Optional[builtin___int] = None,
-    def FromString(cls, s: bytes) -> UnityRLInitializationInputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityRLInitializationInputProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):

ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityRLInitializationOutputProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
     name = ... # type: typing___Text
         environment_parameters : typing___Optional[mlagents___envs___communicator_objects___environment_parameters_pb2___EnvironmentParametersProto] = None,
         ) -> None: ...
     @classmethod
-    def FromString(cls, s: bytes) -> UnityRLInitializationOutputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityRLInitializationOutputProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"brain_parameters",b"brain_parameters",u"environment_parameters",b"environment_parameters",u"log_path",b"log_path",u"name",b"name",u"version",b"version"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityRLInputProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
     class ListAgentActionProto(google___protobuf___message___Message):
             value : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___agent_action_pb2___AgentActionProto]] = None,
             ) -> None: ...
         @classmethod
-        def FromString(cls, s: bytes) -> UnityRLInputProto.ListAgentActionProto: ...
+        def FromString(cls, s: builtin___bytes) -> UnityRLInputProto.ListAgentActionProto: ...
         def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         if sys.version_info >= (3,):
             value : typing___Optional[UnityRLInputProto.ListAgentActionProto] = None,
             ) -> None: ...
         @classmethod
-        def FromString(cls, s: bytes) -> UnityRLInputProto.AgentActionsEntry: ...
+        def FromString(cls, s: builtin___bytes) -> UnityRLInputProto.AgentActionsEntry: ...
-            def HasField(self, field_name: typing_extensions___Literal[u"value"]) -> bool: ...
+            def HasField(self, field_name: typing_extensions___Literal[u"value"]) -> builtin___bool: ...
-            def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> bool: ...
+            def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> builtin___bool: ...
-    is_training = ... # type: bool
+    is_training = ... # type: builtin___bool
     command = ... # type: mlagents___envs___communicator_objects___command_pb2___CommandProto
 
     @property
         *,
         agent_actions : typing___Optional[typing___Mapping[typing___Text, UnityRLInputProto.ListAgentActionProto]] = None,
         environment_parameters : typing___Optional[mlagents___envs___communicator_objects___environment_parameters_pb2___EnvironmentParametersProto] = None,
-        is_training : typing___Optional[bool] = None,
+        is_training : typing___Optional[builtin___bool] = None,
-    def FromString(cls, s: bytes) -> UnityRLInputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityRLInputProto: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters"]) -> builtin___bool: ...
-        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> bool: ...
+        def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> builtin___bool: ...
         def ClearField(self, field_name: typing_extensions___Literal[u"agent_actions",b"agent_actions",u"command",b"command",u"environment_parameters",b"environment_parameters",u"is_training",b"is_training"]) -> None: ...

ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.pyi

 )
 
 
+builtin___bool = bool
+builtin___bytes = bytes
+builtin___float = float
+builtin___int = int
+
+
 class UnityRLOutputProto(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
     class ListAgentInfoProto(google___protobuf___message___Message):
             value : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___agent_info_pb2___AgentInfoProto]] = None,
             ) -> None: ...
         @classmethod
-        def FromString(cls, s: bytes) -> UnityRLOutputProto.ListAgentInfoProto: ...
+        def FromString(cls, s: builtin___bytes) -> UnityRLOutputProto.ListAgentInfoProto: ...
         def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
         if sys.version_info >= (3,):
             value : typing___Optional[UnityRLOutputProto.ListAgentInfoProto] = None,
             ) -> None: ...
         @classmethod
-        def FromString(cls, s: bytes) -> UnityRLOutputProto.AgentInfosEntry: ...
+        def FromString(cls, s: builtin___bytes) -> UnityRLOutputProto.AgentInfosEntry: ...
-            def HasField(self, field_name: typing_extensions___Literal[u"value"]) -> bool: ...
+            def HasField(self, field_name: typing_extensions___Literal[u"value"]) -> builtin___bool: ...
-            def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> bool: ...
+            def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> builtin___bool: ...
             def ClearField(self, field_name: typing_extensions___Literal[u"key",b"key",u"value",b"value"]) -> None: ...
 
 
         agentInfos : typing___Optional[typing___Mapping[typing___Text, UnityRLOutputProto.ListAgentInfoProto]] = None,
         ) -> None: ...
     @classmethod
-    def FromString(cls, s: bytes) -> UnityRLOutputProto: ...
+    def FromString(cls, s: builtin___bytes) -> UnityRLOutputProto: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):