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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def simulate_async_error(self, exception):
 """ Take this exception and store it as an error in the result backend. This unifies the handling of broker-connection errors with any other type of error that might occur when running the task. So the same error-handling that might retry a task or display a useful message to the user can also handle this error. """

        task_id = gen_unique_id()
        async_result = self.AsyncResult(task_id)
        einfo = ExceptionInfo(sys.exc_info())

        async_result.backend.mark_as_failure(
            task_id,
            exception,
            traceback=einfo.traceback,
        )

        return async_result