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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 _load_actor_class_from_gcs(self, driver_id, function_descriptor):
 """Load actor class from GCS."""

        key = (b"ActorClass:" + driver_id.binary() + b":" +
               function_descriptor.function_id.binary())
        # Wait for the actor class key to have been imported by the
        # import thread. TODO(rkn): It shouldn't be possible to end
        # up in an infinite loop here, but we should push an error to
        # the driver if too much time is spent here.
        while key not in self.imported_actor_classes:
            time.sleep(0.001)

        # Fetch raw data from GCS.
        (driver_id_str, class_name, module, pickled_class,
         actor_method_names) = self._worker.redis_client.hmget(
             key, [
                 "driver_id", "class_name", "module", "class",
                 "actor_method_names"
             ])

        class_name = ensure_str(class_name)
        module_name = ensure_str(module)
        driver_id = ray.DriverID(driver_id_str)
        actor_method_names = json.loads(ensure_str(actor_method_names))

        actor_class = None
        try:
            with self.lock:
                actor_class = pickle.loads(pickled_class)
        except Exception:
            logger.exception(
                "Failed to load actor class %s.".format(class_name))
            # The actor class failed to be unpickled, create a fake actor
            # class instead (just to produce error messages and to prevent
            # the driver from hanging).
            actor_class = self._create_fake_actor_class(
                class_name, actor_method_names)
            # If an exception was thrown when the actor was imported, we record
            # the traceback and notify the scheduler of the failure.
            traceback_str = ray.utils.format_error_message(
                traceback.format_exc())
            # Log the error message.
            push_error_to_driver(
                self._worker, ray_constants.REGISTER_ACTOR_PUSH_ERROR,
                "Failed to unpickle actor class '{}' for actor ID {}. "
                "Traceback:\n{}".format(class_name,
                                        self._worker.actor_id.hex(),
                                        traceback_str), driver_id)
            # TODO(rkn): In the future, it might make sense to have the worker
            # exit here. However, currently that would lead to hanging if
            # someone calls ray.get on a method invoked on the actor.

        # The below line is necessary. Because in the driver process,
        # if the function is defined in the file where the python script
        # was started from, its module is `__main__`.
        # However in the worker process, the `__main__` module is a
        # different module, which is `default_worker.py`
        actor_class.__module__ = module_name
        return actor_class