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 the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from mlagents.envs.communicator_objects import (
unity_message_pb2 as mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2,
)
class UnityToExternalStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Exchange = channel.unary_unary(
"/communicator_objects.UnityToExternal/Exchange",
request_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
response_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
)
class UnityToExternalServicer(object):
# missing associated documentation comment in .proto file
pass
def Exchange(self, request, context):
"""Sends the academy parameters
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def add_UnityToExternalServicer_to_server(servicer, server):
rpc_method_handlers = {
"Exchange": grpc.unary_unary_rpc_method_handler(
servicer.Exchange,
request_deserializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.FromString,
response_serializer=mlagents_dot_envs_dot_communicator__objects_dot_unity__message__pb2.UnityMessage.SerializeToString,
)
}
generic_handler = grpc.method_handlers_generic_handler(
"communicator_objects.UnityToExternal", rpc_method_handlers
)
server.add_generic_rpc_handlers((generic_handler,))