# @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 ( RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer, ) from google.protobuf.message import ( Message as google___protobuf___message___Message, ) 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, ) builtin___bool = bool builtin___bytes = bytes builtin___float = float builtin___int = int class ActionSpecProto(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... num_continuous_actions = ... # type: builtin___int num_discrete_actions = ... # type: builtin___int discrete_branch_sizes = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int] action_descriptions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text] def __init__(self, *, num_continuous_actions : typing___Optional[builtin___int] = None, num_discrete_actions : typing___Optional[builtin___int] = None, discrete_branch_sizes : typing___Optional[typing___Iterable[builtin___int]] = None, action_descriptions : typing___Optional[typing___Iterable[typing___Text]] = None, ) -> None: ... @classmethod def FromString(cls, s: builtin___bytes) -> ActionSpecProto: ... 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"action_descriptions",u"discrete_branch_sizes",u"num_continuous_actions",u"num_discrete_actions"]) -> None: ... else: def ClearField(self, field_name: typing_extensions___Literal[u"action_descriptions",b"action_descriptions",u"discrete_branch_sizes",b"discrete_branch_sizes",u"num_continuous_actions",b"num_continuous_actions",u"num_discrete_actions",b"num_discrete_actions"]) -> None: ... class BrainParametersProto(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... vector_action_size_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int] vector_action_descriptions_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text] vector_action_space_type_deprecated = ... # type: mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto brain_name = ... # type: typing___Text is_training = ... # type: builtin___bool @property def action_spec(self) -> ActionSpecProto: ... def __init__(self, *, vector_action_size_deprecated : typing___Optional[typing___Iterable[builtin___int]] = None, vector_action_descriptions_deprecated : typing___Optional[typing___Iterable[typing___Text]] = None, vector_action_space_type_deprecated : typing___Optional[mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto] = None, brain_name : typing___Optional[typing___Text] = None, is_training : typing___Optional[builtin___bool] = None, action_spec : typing___Optional[ActionSpecProto] = None, ) -> None: ... @classmethod 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,): def HasField(self, field_name: typing_extensions___Literal[u"action_spec"]) -> builtin___bool: ... def ClearField(self, field_name: typing_extensions___Literal[u"action_spec",u"brain_name",u"is_training",u"vector_action_descriptions_deprecated",u"vector_action_size_deprecated",u"vector_action_space_type_deprecated"]) -> None: ... else: def HasField(self, field_name: typing_extensions___Literal[u"action_spec",b"action_spec"]) -> builtin___bool: ... def ClearField(self, field_name: typing_extensions___Literal[u"action_spec",b"action_spec",u"brain_name",b"brain_name",u"is_training",b"is_training",u"vector_action_descriptions_deprecated",b"vector_action_descriptions_deprecated",u"vector_action_size_deprecated",b"vector_action_size_deprecated",u"vector_action_space_type_deprecated",b"vector_action_space_type_deprecated"]) -> None: ...