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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 register_custom_serializer(cls, use_pickle=False, use_dict=False, serializer=None, deserializer=None, local=False, driver_id=None, class_id=None):
 """Enable serialization and deserialization for a particular class. This method runs the register_class function defined below on every worker, which will enable ray to properly serialize and deserialize objects of this class. Args: cls (type):
 The class that ray should use this custom serializer for. use_pickle (bool):
 If true, then objects of this class will be serialized using pickle. use_dict: If true, then objects of this class be serialized turning their __dict__ fields into a dictionary. Must be False if use_pickle is true. serializer: The custom serializer to use. This should be provided if and only if use_pickle and use_dict are False. deserializer: The custom deserializer to use. This should be provided if and only if use_pickle and use_dict are False. local: True if the serializers should only be registered on the current worker. This should usually be False. driver_id: ID of the driver that we want to register the class for. class_id: ID of the class that we are registering. If this is not specified, we will calculate a new one inside the function. Raises: Exception: An exception is raised if pickle=False and the class cannot be efficiently serialized by Ray. This can also raise an exception if use_dict is true and cls is not pickleable. """

    worker = global_worker
    assert (serializer is None) == (deserializer is None), (
        "The serializer/deserializer arguments must both be provided or "
        "both not be provided.")
    use_custom_serializer = (serializer is not None)

    assert use_custom_serializer + use_pickle + use_dict == 1, (
        "Exactly one of use_pickle, use_dict, or serializer/deserializer must "
        "be specified.")

    if use_dict:
        # Raise an exception if cls cannot be serialized efficiently by Ray.
        serialization.check_serializable(cls)

    if class_id is None:
        if not local:
            # In this case, the class ID will be used to deduplicate the class
            # across workers. Note that cloudpickle unfortunately does not
            # produce deterministic strings, so these IDs could be different
            # on different workers. We could use something weaker like
            # cls.__name__, however that would run the risk of having
            # collisions.
            # TODO(rkn): We should improve this.
            try:
                # Attempt to produce a class ID that will be the same on each
                # worker. However, determinism is not guaranteed, and the
                # result may be different on different workers.
                class_id = _try_to_compute_deterministic_class_id(cls)
            except Exception:
                raise serialization.CloudPickleError("Failed to pickle class "
                                                     "'{}'".format(cls))
        else:
            # In this case, the class ID only needs to be meaningful on this
            # worker and not across workers.
            class_id = _random_string()

        # Make sure class_id is a string.
        class_id = ray.utils.binary_to_hex(class_id)

    if driver_id is None:
        driver_id = worker.task_driver_id
    assert isinstance(driver_id, DriverID)

    def register_class_for_serialization(worker_info):
        # TODO(rkn): We need to be more thoughtful about what to do if custom
        # serializers have already been registered for class_id. In some cases,
        # we may want to use the last user-defined serializers and ignore
        # subsequent calls to register_custom_serializer that were made by the
        # system.

        serialization_context = worker_info[
            "worker"].get_serialization_context(driver_id)
        serialization_context.register_type(
            cls,
            class_id,
            pickle=use_pickle,
            custom_serializer=serializer,
            custom_deserializer=deserializer)

    if not local:
        worker.run_function_on_all_workers(register_class_for_serialization)
    else:
        # Since we are pickling objects of this class, we don't actually need
        # to ship the class definition.
        register_class_for_serialization({"worker": worker})