code: def _get_columns(batch, postfix):
      result = []
      for name in _AUGMENTABLE_NAMES:
          attr_name = name + postfix
          value = getattr(batch, name + postfix)
          # Every data item is either an array or a list. If there are no
          # items in the array/list, there are also no shapes to change
          # as shape-changes are imagewise. Hence, we can afford to check
          # len() here.
          if value is not None and len(value) > 0:
              result.append(_AugmentableColumn(name, value, attr_name))
      return result
  
imports: from __future__ import print_function, division, absolute_import
  import collections
  import numpy
  from ..None import imgaug
  from .None import normalization
  from .None import utils
label_desc: Use image node_id 2 for calling a global function with example usage: _get_columns(batch, postfix) and returns: result