Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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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,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedCompositeFieldContainer,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from mlagents.envs.communicator_objects.agent_action_proto_pb2 import (
AgentActionProto as mlagents___envs___communicator_objects___agent_action_proto_pb2___AgentActionProto,
)
from mlagents.envs.communicator_objects.command_proto_pb2 import (
CommandProto as mlagents___envs___communicator_objects___command_proto_pb2___CommandProto,
)
from mlagents.envs.communicator_objects.environment_parameters_proto_pb2 import (
EnvironmentParametersProto as mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto,
)
from typing import (
Iterable as typing___Iterable,
Mapping as typing___Mapping,
MutableMapping as typing___MutableMapping,
Optional as typing___Optional,
Text as typing___Text,
)
from typing_extensions import (
Literal as typing_extensions___Literal,
)
class UnityRLInput(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
class ListAgentActionProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@property
def value(self) -> google___protobuf___internal___containers___RepeatedCompositeFieldContainer[mlagents___envs___communicator_objects___agent_action_proto_pb2___AgentActionProto]: ...
def __init__(self,
*,
value : typing___Optional[typing___Iterable[mlagents___envs___communicator_objects___agent_action_proto_pb2___AgentActionProto]] = None,
) -> None: ...
@classmethod
def FromString(cls, s: bytes) -> UnityRLInput.ListAgentActionProto: ...
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"value"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> None: ...
class AgentActionsEntry(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
key = ... # type: typing___Text
@property
def value(self) -> UnityRLInput.ListAgentActionProto: ...
def __init__(self,
*,
key : typing___Optional[typing___Text] = None,
value : typing___Optional[UnityRLInput.ListAgentActionProto] = None,
) -> None: ...
@classmethod
def FromString(cls, s: bytes) -> UnityRLInput.AgentActionsEntry: ...
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"value"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"key",u"value"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"value",b"value"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"key",b"key",u"value",b"value"]) -> None: ...
is_training = ... # type: bool
command = ... # type: mlagents___envs___communicator_objects___command_proto_pb2___CommandProto
@property
def agent_actions(self) -> typing___MutableMapping[typing___Text, UnityRLInput.ListAgentActionProto]: ...
@property
def environment_parameters(self) -> mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto: ...
def __init__(self,
*,
agent_actions : typing___Optional[typing___Mapping[typing___Text, UnityRLInput.ListAgentActionProto]] = None,
environment_parameters : typing___Optional[mlagents___envs___communicator_objects___environment_parameters_proto_pb2___EnvironmentParametersProto] = None,
is_training : typing___Optional[bool] = None,
command : typing___Optional[mlagents___envs___communicator_objects___command_proto_pb2___CommandProto] = None,
) -> None: ...
@classmethod
def FromString(cls, s: bytes) -> UnityRLInput: ...
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"environment_parameters"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"agent_actions",u"command",u"environment_parameters",u"is_training"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"environment_parameters",b"environment_parameters"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"agent_actions",b"agent_actions",u"command",b"command",u"environment_parameters",b"environment_parameters",u"is_training",b"is_training"]) -> None: ...