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122 行
6.1 KiB
122 行
6.1 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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EnumDescriptor as google___protobuf___descriptor___EnumDescriptor,
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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 typing import (
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Iterable as typing___Iterable,
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List as typing___List,
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Optional as typing___Optional,
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Text as typing___Text,
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Tuple as typing___Tuple,
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cast as typing___cast,
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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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builtin___str = str
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class CompressionTypeProto(builtin___int):
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DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ...
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@classmethod
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def Name(cls, number: builtin___int) -> builtin___str: ...
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@classmethod
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def Value(cls, name: builtin___str) -> 'CompressionTypeProto': ...
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@classmethod
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def keys(cls) -> typing___List[builtin___str]: ...
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@classmethod
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def values(cls) -> typing___List['CompressionTypeProto']: ...
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@classmethod
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def items(cls) -> typing___List[typing___Tuple[builtin___str, 'CompressionTypeProto']]: ...
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NONE = typing___cast('CompressionTypeProto', 0)
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PNG = typing___cast('CompressionTypeProto', 1)
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NONE = typing___cast('CompressionTypeProto', 0)
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PNG = typing___cast('CompressionTypeProto', 1)
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class ObservationTypeProto(builtin___int):
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DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ...
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@classmethod
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def Name(cls, number: builtin___int) -> builtin___str: ...
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@classmethod
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def Value(cls, name: builtin___str) -> 'ObservationTypeProto': ...
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@classmethod
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def keys(cls) -> typing___List[builtin___str]: ...
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@classmethod
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def values(cls) -> typing___List['ObservationTypeProto']: ...
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@classmethod
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def items(cls) -> typing___List[typing___Tuple[builtin___str, 'ObservationTypeProto']]: ...
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DEFAULT = typing___cast('ObservationTypeProto', 0)
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GOAL_SIGNAL = typing___cast('ObservationTypeProto', 1)
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DEFAULT = typing___cast('ObservationTypeProto', 0)
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GOAL_SIGNAL = typing___cast('ObservationTypeProto', 1)
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class ObservationProto(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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class FloatData(google___protobuf___message___Message):
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DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
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data = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
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def __init__(self,
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*,
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data : typing___Optional[typing___Iterable[builtin___float]] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___bytes) -> ObservationProto.FloatData: ...
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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"data"]) -> None: ...
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else:
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def ClearField(self, field_name: typing_extensions___Literal[u"data",b"data"]) -> None: ...
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shape = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
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compression_type = ... # type: CompressionTypeProto
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compressed_data = ... # type: builtin___bytes
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compressed_channel_mapping = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
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dimension_properties = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int]
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observation_type = ... # type: ObservationTypeProto
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name = ... # type: typing___Text
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@property
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def float_data(self) -> ObservationProto.FloatData: ...
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def __init__(self,
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*,
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shape : typing___Optional[typing___Iterable[builtin___int]] = None,
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compression_type : typing___Optional[CompressionTypeProto] = None,
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compressed_data : typing___Optional[builtin___bytes] = None,
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float_data : typing___Optional[ObservationProto.FloatData] = None,
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compressed_channel_mapping : typing___Optional[typing___Iterable[builtin___int]] = None,
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dimension_properties : typing___Optional[typing___Iterable[builtin___int]] = None,
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observation_type : typing___Optional[ObservationTypeProto] = None,
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name : typing___Optional[typing___Text] = None,
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) -> None: ...
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@classmethod
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def FromString(cls, s: builtin___bytes) -> ObservationProto: ...
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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"compressed_data",u"float_data",u"observation_data"]) -> builtin___bool: ...
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def ClearField(self, field_name: typing_extensions___Literal[u"compressed_channel_mapping",u"compressed_data",u"compression_type",u"dimension_properties",u"float_data",u"name",u"observation_data",u"observation_type",u"shape"]) -> None: ...
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else:
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def HasField(self, field_name: typing_extensions___Literal[u"compressed_data",b"compressed_data",u"float_data",b"float_data",u"observation_data",b"observation_data"]) -> builtin___bool: ...
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def ClearField(self, field_name: typing_extensions___Literal[u"compressed_channel_mapping",b"compressed_channel_mapping",u"compressed_data",b"compressed_data",u"compression_type",b"compression_type",u"dimension_properties",b"dimension_properties",u"float_data",b"float_data",u"name",b"name",u"observation_data",b"observation_data",u"observation_type",b"observation_type",u"shape",b"shape"]) -> None: ...
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def WhichOneof(self, oneof_group: typing_extensions___Literal[u"observation_data",b"observation_data"]) -> typing_extensions___Literal["compressed_data","float_data"]: ...
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