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66 行
3.7 KiB
66 行
3.7 KiB
# @generated by generate_proto_mypy_stubs.py. Do not edit!
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import sys
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from google.protobuf.descriptor import (
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Descriptor as google___protobuf___descriptor___Descriptor,
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)
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from google.protobuf.internal.containers import (
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RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
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RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
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)
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from google.protobuf.message import (
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Message as google___protobuf___message___Message,
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)
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from mlagents.envs.communicator_objects.resolution_proto_pb2 import (
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ResolutionProto as mlagents___envs___communicator_objects___resolution_proto_pb2___ResolutionProto,
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)
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from mlagents.envs.communicator_objects.space_type_proto_pb2 import (
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SpaceTypeProto as mlagents___envs___communicator_objects___space_type_proto_pb2___SpaceTypeProto,
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)
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from typing import (
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Iterable as typing___Iterable,
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Optional as typing___Optional,
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Text as typing___Text,
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)
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from typing_extensions import (
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Literal as typing_extensions___Literal,
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)
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class BrainParametersProto(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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vector_observation_size = ... # type: int
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num_stacked_vector_observations = ... # type: int
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vector_action_size = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[int]
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vector_action_descriptions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
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vector_action_space_type = ... # type: mlagents___envs___communicator_objects___space_type_proto_pb2___SpaceTypeProto
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brain_name = ... # type: typing___Text
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is_training = ... # type: bool
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@property
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def camera_resolutions(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[mlagents___envs___communicator_objects___resolution_proto_pb2___ResolutionProto]: ...
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def __init__(self,
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*,
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vector_observation_size : typing___Optional[int] = None,
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num_stacked_vector_observations : typing___Optional[int] = None,
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vector_action_size : typing___Optional[typing___Iterable[int]] = None,
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camera_resolutions : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___resolution_proto_pb2___ResolutionProto]] = None,
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vector_action_descriptions : typing___Optional[typing___Iterable[typing___Text]] = None,
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vector_action_space_type : typing___Optional[mlagents___envs___communicator_objects___space_type_proto_pb2___SpaceTypeProto] = None,
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brain_name : typing___Optional[typing___Text] = None,
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is_training : typing___Optional[bool] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: bytes) -> BrainParametersProto: ...
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def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
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if sys.version_info >= (3,):
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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: ...
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else:
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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: ...
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