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# @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"]: ...