code: def data_transfer_fn(self, async_map_result, timeout=10):
      samples = async_map_result.get(timeout)
      batch = get_batch_fn(self.ds)(samples)
      # make sure the batch is transferred to the device
      batch = jax.tree_map(jnp.asarray, batch)
      return batch
  
imports: import multiprocessing.pool
  import os
  import typing
  import jax
  import jax.numpy
  import numpy
  from .data_adapter import DataAdapter
  from .utils import is_none_or_empty
label_desc: Use image node_id 7 for calling the MultiProcessIterator obj's underlying member method code with example usage: obj.data_transfer_fn(async_map_result, timeout) and returns: batch