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59 行
1.2 KiB
59 行
1.2 KiB
import logging
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logger = logging.getLogger("mlagents.envs")
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class UnityException(Exception):
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"""
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Any error related to ml-agents environment.
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"""
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pass
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class UnityEnvironmentException(UnityException):
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"""
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Related to errors starting and closing environment.
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"""
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pass
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class UnityCommunicationException(UnityException):
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"""
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Related to errors with the communicator.
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"""
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pass
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class UnityActionException(UnityException):
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"""
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Related to errors with sending actions.
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"""
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pass
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class UnityTimeOutException(UnityException):
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"""
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Related to errors with communication timeouts.
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"""
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pass
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class UnityWorkerInUseException(UnityException):
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"""
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This error occurs when the port for a certain worker ID is already reserved.
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"""
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MESSAGE_TEMPLATE = (
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"Couldn't start socket communication because worker number {} is still in use. "
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"You may need to manually close a previously opened environment "
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"or use a different worker number."
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)
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def __init__(self, worker_id):
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message = self.MESSAGE_TEMPLATE.format(str(worker_id))
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super(UnityWorkerInUseException, self).__init__(message)
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