<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def store_and_register(self, object_id, value, depth=100):
 """Store an object and attempt to register its class if needed. Args: object_id: The ID of the object to store. value: The value to put in the object store. depth: The maximum number of classes to recursively register. Raises: Exception: An exception is raised if the attempt to store the object fails. This can happen if there is already an object with the same ID in the object store or if the object store is full. """

        counter = 0
        while True:
            if counter == depth:
                raise Exception("Ray exceeded the maximum number of classes "
                                "that it will recursively serialize when "
                                "attempting to serialize an object of "
                                "type {}.".format(type(value)))
            counter += 1
            try:
                if isinstance(value, bytes):
                    # If the object is a byte array, skip serializing it and
                    # use a special metadata to indicate it's raw binary. So
                    # that this object can also be read by Java.
                    self.plasma_client.put_raw_buffer(
                        value,
                        object_id=pyarrow.plasma.ObjectID(object_id.binary()),
                        metadata=ray_constants.RAW_BUFFER_METADATA,
                        memcopy_threads=self.memcopy_threads)
                else:
                    self.plasma_client.put(
                        value,
                        object_id=pyarrow.plasma.ObjectID(object_id.binary()),
                        memcopy_threads=self.memcopy_threads,
                        serialization_context=self.get_serialization_context(
                            self.task_driver_id))
                break
            except pyarrow.SerializationCallbackError as e:
                try:
                    register_custom_serializer(
                        type(e.example_object), use_dict=True)
                    warning_message = ("WARNING: Serializing objects of type "
                                       "{} by expanding them as dictionaries "
                                       "of their fields. This behavior may "
                                       "be incorrect in some cases.".format(
                                           type(e.example_object)))
                    logger.debug(warning_message)
                except (serialization.RayNotDictionarySerializable,
                        serialization.CloudPickleError,
                        pickle.pickle.PicklingError, Exception):
                    # We also handle generic exceptions here because
                    # cloudpickle can fail with many different types of errors.
                    try:
                        register_custom_serializer(
                            type(e.example_object), use_pickle=True)
                        warning_message = ("WARNING: Falling back to "
                                           "serializing objects of type {} by "
                                           "using pickle. This may be "
                                           "inefficient.".format(
                                               type(e.example_object)))
                        logger.warning(warning_message)
                    except serialization.CloudPickleError:
                        register_custom_serializer(
                            type(e.example_object),
                            use_pickle=True,
                            local=True)
                        warning_message = ("WARNING: Pickling the class {} "
                                           "failed, so we are using pickle "
                                           "and only registering the class "
                                           "locally.".format(
                                               type(e.example_object)))
                        logger.warning(warning_message)