code: def flatten_inputs(deep):
      """Flattens an :class:`collections.abc.Iterable` recursively.
  
      Args:
          deep (Iterable): An :class:`~collections.abc.Iterable` to flatten.
  
      Returns:
          list: The flattened result.
      """
  
      def flatten(deep):
          # pylint: disable=missing-yield-doc,missing-yield-type-doc
          for d in deep:
              if isinstance(
                  d, collections.abc.Iterable
              ) and not isinstance(
                  d, (str, bytes, tf.Tensor, np.ndarray)
              ):
                  yield from flatten(d)
              else:
                  yield d
  
      return list(flatten(deep))
  
imports: import collections
  import numpy
  import tensorflow
label_desc: Use image node_id 8 for calling a global function with example usage: flatten_inputs(deep) and returns: list