# @generated by generate_proto_mypy_stubs.py.  Do not edit!
import sys
from google.protobuf.descriptor import (
    Descriptor as google___protobuf___descriptor___Descriptor,
)

from google.protobuf.internal.containers import (
    RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
    RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)

from google.protobuf.message import (
    Message as google___protobuf___message___Message,
)

from mlagents.envs.communicator_objects.resolution_pb2 import (
    ResolutionProto as mlagents___envs___communicator_objects___resolution_pb2___ResolutionProto,
)

from mlagents.envs.communicator_objects.space_type_pb2 import (
    SpaceTypeProto as mlagents___envs___communicator_objects___space_type_pb2___SpaceTypeProto,
)

from typing import (
    Iterable as typing___Iterable,
    Optional as typing___Optional,
    Text as typing___Text,
)

from typing_extensions import (
    Literal as typing_extensions___Literal,
)


class BrainParametersProto(google___protobuf___message___Message):
    DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
    vector_observation_size = ... # type: int
    num_stacked_vector_observations = ... # type: int
    vector_action_size = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[int]
    vector_action_descriptions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
    vector_action_space_type = ... # type: mlagents___envs___communicator_objects___space_type_pb2___SpaceTypeProto
    brain_name = ... # type: typing___Text
    is_training = ... # type: bool

    @property
    def camera_resolutions(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[mlagents___envs___communicator_objects___resolution_pb2___ResolutionProto]: ...

    def __init__(self,
        *,
        vector_observation_size : typing___Optional[int] = None,
        num_stacked_vector_observations : typing___Optional[int] = None,
        vector_action_size : typing___Optional[typing___Iterable[int]] = None,
        camera_resolutions : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___resolution_pb2___ResolutionProto]] = None,
        vector_action_descriptions : typing___Optional[typing___Iterable[typing___Text]] = None,
        vector_action_space_type : typing___Optional[mlagents___envs___communicator_objects___space_type_pb2___SpaceTypeProto] = None,
        brain_name : typing___Optional[typing___Text] = None,
        is_training : typing___Optional[bool] = None,
        ) -> None: ...
    @classmethod
    def FromString(cls, s: 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,):
        def ClearField(self, field_name: typing_extensions___Literal[u"brain_name",u"camera_resolutions",u"is_training",u"num_stacked_vector_observations",u"vector_action_descriptions",u"vector_action_size",u"vector_action_space_type",u"vector_observation_size"]) -> None: ...
    else:
        def ClearField(self, field_name: typing_extensions___Literal[u"brain_name",b"brain_name",u"camera_resolutions",b"camera_resolutions",u"is_training",b"is_training",u"num_stacked_vector_observations",b"num_stacked_vector_observations",u"vector_action_descriptions",b"vector_action_descriptions",u"vector_action_size",b"vector_action_size",u"vector_action_space_type",b"vector_action_space_type",u"vector_observation_size",b"vector_observation_size"]) -> None: ...