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.message import (
Message as google___protobuf___message___Message,
)
from mlagents.envs.communicator_objects.header_pb2 import (
HeaderProto as mlagents___envs___communicator_objects___header_pb2___HeaderProto,
)
from mlagents.envs.communicator_objects.unity_input_pb2 import (
UnityInputProto as mlagents___envs___communicator_objects___unity_input_pb2___UnityInputProto,
)
from mlagents.envs.communicator_objects.unity_output_pb2 import (
UnityOutputProto as mlagents___envs___communicator_objects___unity_output_pb2___UnityOutputProto,
)
from typing import (
Optional as typing___Optional,
)
from typing_extensions import (
Literal as typing_extensions___Literal,
)
class UnityMessageProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@property
def header(self) -> mlagents___envs___communicator_objects___header_pb2___HeaderProto: ...
@property
def unity_output(self) -> mlagents___envs___communicator_objects___unity_output_pb2___UnityOutputProto: ...
@property
def unity_input(self) -> mlagents___envs___communicator_objects___unity_input_pb2___UnityInputProto: ...
def __init__(self,
*,
header : typing___Optional[mlagents___envs___communicator_objects___header_pb2___HeaderProto] = None,
unity_output : typing___Optional[mlagents___envs___communicator_objects___unity_output_pb2___UnityOutputProto] = None,
unity_input : typing___Optional[mlagents___envs___communicator_objects___unity_input_pb2___UnityInputProto] = None,
) -> None: ...
@classmethod
def FromString(cls, s: bytes) -> UnityMessageProto: ...
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"header",u"unity_input",u"unity_output"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"header",u"unity_input",u"unity_output"]) -> None: ...
else:
def HasField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> bool: ...
def ClearField(self, field_name: typing_extensions___Literal[u"header",b"header",u"unity_input",b"unity_input",u"unity_output",b"unity_output"]) -> None: ...