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88 行
4.9 KiB
88 行
4.9 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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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.space_type_pb2 import (
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SpaceTypeProto as mlagents_envs___communicator_objects___space_type_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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builtin___bool = bool
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builtin___bytes = bytes
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builtin___float = float
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builtin___int = int
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class ActionSpecProto(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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num_continuous_actions = ... # type: builtin___int
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num_discrete_actions = ... # type: builtin___int
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discrete_branch_sizes = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
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action_descriptions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
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def __init__(self,
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*,
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num_continuous_actions : typing___Optional[builtin___int] = None,
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num_discrete_actions : typing___Optional[builtin___int] = None,
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discrete_branch_sizes : typing___Optional[typing___Iterable[builtin___int]] = None,
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action_descriptions : typing___Optional[typing___Iterable[typing___Text]] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___bytes) -> ActionSpecProto: ...
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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"action_descriptions",u"discrete_branch_sizes",u"num_continuous_actions",u"num_discrete_actions"]) -> None: ...
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else:
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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: ...
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class BrainParametersProto(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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vector_action_size_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
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vector_action_descriptions_deprecated = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[typing___Text]
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vector_action_space_type_deprecated = ... # type: mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto
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brain_name = ... # type: typing___Text
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is_training = ... # type: builtin___bool
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@property
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def action_spec(self) -> ActionSpecProto: ...
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def __init__(self,
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*,
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vector_action_size_deprecated : typing___Optional[typing___Iterable[builtin___int]] = None,
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vector_action_descriptions_deprecated : typing___Optional[typing___Iterable[typing___Text]] = None,
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vector_action_space_type_deprecated : typing___Optional[mlagents_envs___communicator_objects___space_type_pb2___SpaceTypeProto] = None,
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brain_name : typing___Optional[typing___Text] = None,
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is_training : typing___Optional[builtin___bool] = None,
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action_spec : typing___Optional[ActionSpecProto] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___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 HasField(self, field_name: typing_extensions___Literal[u"action_spec"]) -> builtin___bool: ...
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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: ...
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else:
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def HasField(self, field_name: typing_extensions___Literal[u"action_spec",b"action_spec"]) -> builtin___bool: ...
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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: ...
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