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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import pytest
from mlagents_envs.rpc_communicator import RpcCommunicator
from mlagents_envs.exception import UnityWorkerInUseException
def test_rpc_communicator_checks_port_on_create():
first_comm = RpcCommunicator()
with pytest.raises(UnityWorkerInUseException):
second_comm = RpcCommunicator()
second_comm.close()
first_comm.close()
def test_rpc_communicator_close():
# Ensures it is possible to open a new RPC Communicators
# after closing one on the same worker_id
first_comm = RpcCommunicator()
first_comm.close()
second_comm = RpcCommunicator()
second_comm.close()
def test_rpc_communicator_create_multiple_workers():
# Ensures multiple RPC communicators can be created with
# different worker_ids without causing an error.
first_comm = RpcCommunicator()
second_comm = RpcCommunicator(worker_id=1)
first_comm.close()
second_comm.close()