# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, EnumDescriptor as google___protobuf___descriptor___EnumDescriptor, ) 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 typing import ( Iterable as typing___Iterable, List as typing___List, Optional as typing___Optional, Text as typing___Text, Tuple as typing___Tuple, cast as typing___cast, ) from typing_extensions import ( Literal as typing_extensions___Literal, ) builtin___bool = bool builtin___bytes = bytes builtin___float = float builtin___int = int builtin___str = str class CompressionTypeProto(builtin___int): DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ... @classmethod def Name(cls, number: builtin___int) -> builtin___str: ... @classmethod def Value(cls, name: builtin___str) -> 'CompressionTypeProto': ... @classmethod def keys(cls) -> typing___List[builtin___str]: ... @classmethod def values(cls) -> typing___List['CompressionTypeProto']: ... @classmethod def items(cls) -> typing___List[typing___Tuple[builtin___str, 'CompressionTypeProto']]: ... NONE = typing___cast('CompressionTypeProto', 0) PNG = typing___cast('CompressionTypeProto', 1) NONE = typing___cast('CompressionTypeProto', 0) PNG = typing___cast('CompressionTypeProto', 1) class ObservationTypeProto(builtin___int): DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ... @classmethod def Name(cls, number: builtin___int) -> builtin___str: ... @classmethod def Value(cls, name: builtin___str) -> 'ObservationTypeProto': ... @classmethod def keys(cls) -> typing___List[builtin___str]: ... @classmethod def values(cls) -> typing___List['ObservationTypeProto']: ... @classmethod def items(cls) -> typing___List[typing___Tuple[builtin___str, 'ObservationTypeProto']]: ... DEFAULT = typing___cast('ObservationTypeProto', 0) GOAL_SIGNAL = typing___cast('ObservationTypeProto', 1) DEFAULT = typing___cast('ObservationTypeProto', 0) GOAL_SIGNAL = typing___cast('ObservationTypeProto', 1) class ObservationProto(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... class FloatData(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... data = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float] def __init__(self, *, data : typing___Optional[typing___Iterable[builtin___float]] = None, ) -> None: ... @classmethod def FromString(cls, s: builtin___bytes) -> ObservationProto.FloatData: ... 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"data"]) -> None: ... else: def ClearField(self, field_name: typing_extensions___Literal[u"data",b"data"]) -> None: ... shape = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int] compression_type = ... # type: CompressionTypeProto compressed_data = ... # type: builtin___bytes compressed_channel_mapping = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int] dimension_properties = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___int] observation_type = ... # type: ObservationTypeProto name = ... # type: typing___Text @property def float_data(self) -> ObservationProto.FloatData: ... def __init__(self, *, shape : typing___Optional[typing___Iterable[builtin___int]] = None, compression_type : typing___Optional[CompressionTypeProto] = None, compressed_data : typing___Optional[builtin___bytes] = None, float_data : typing___Optional[ObservationProto.FloatData] = None, compressed_channel_mapping : typing___Optional[typing___Iterable[builtin___int]] = None, dimension_properties : typing___Optional[typing___Iterable[builtin___int]] = None, observation_type : typing___Optional[ObservationTypeProto] = None, name : typing___Optional[typing___Text] = None, ) -> None: ... @classmethod def FromString(cls, s: builtin___bytes) -> ObservationProto: ... 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"compressed_data",u"float_data",u"observation_data"]) -> builtin___bool: ... 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: ... else: 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: ... 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: ... def WhichOneof(self, oneof_group: typing_extensions___Literal[u"observation_data",b"observation_data"]) -> typing_extensions___Literal["compressed_data","float_data"]: ...