code: def distribute(
      dataset: tf.data.Dataset,
      dataset_service_address: str,
      processing_mode: str = "parallel_epochs",
  ) -> tf.data.Dataset:
      dataset_id = tf.data.experimental.service.register_dataset(
          service=dataset_service_address, dataset=dataset
      )
      logging.info(
          "tfds service: process %d got id %d",
          jax.process_index(),
          dataset_id,
      )
      return tf.data.experimental.service.from_dataset_id(
          processing_mode=processing_mode,
          service=dataset_service_address,
          dataset_id=dataset_id,
          job_name="scenic_data_pipeline",
          element_spec=dataset.element_spec,
      )
  
imports: import collections
  import dataclasses
  import functools
  import itertools
  from typing import Any, Callable, Dict, Iterator, Optional, Sequence, Union
  from absl import logging
  from flax.training import common_utils
  import jax
  import jax.numpy
  import numpy
  import tensorflow
  import tensorflow_datasets
label_desc: Use image node_id 20 for calling a global function with example usage: distribute(dataset, dataset_service_address, processing_mode) and returns: tf