code: def unstack_nested_arrays_into_flat_items(nested_array):
      """Unstack/unbatch a nest of numpy arrays into flat items.
  
      Rebuild the nested structure of the unbatched elements is expensive. On the
      other hand it is sometimes unnecessary (e.g. if the downstream processing
      requires flattened structure, e.g. some replay buffer writers which flattens
      the items anyway).
  
      Args:
        nested_array: Nest of numpy arrays where each array has shape [batch_size,
          ...].
  
      Returns:
        A list of length batch_size where each item in the list is the flattened
          version of the corresponding item of the input.
      """
  
      return list(
          _unstack_nested_arrays_into_flat_item_iterator(nested_array)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import numbers
  from typing import Optional, Text
  from absl import logging
  import numpy
  from six.moves import zip
  import tensorflow
  from tf_agents.typing import types
  from tf_agents.utils import composite
  import wrapt
  from tensorflow.python.util import nest
label_desc: Use image node_id 29 for calling a global function with example usage: unstack_nested_arrays_into_flat_items(nested_array) and returns: list