parameters: (self, keys)
docstring: Constructs the handler with the name of the tf.Feature keys to use.
  
      See third_party/tensorflow/core/example/feature.proto
  
      Args:
        keys: the name of the TensorFlow Example Feature.
docstring_summary: Constructs the handler with the name of the tf.Feature keys to use.
docstring_tokens: Constructs the handler with the name of the tf . Feature keys to use .
function: def __init__(self, keys):
      """Constructs the handler with the name of the tf.Feature keys to use.
  
      See third_party/tensorflow/core/example/feature.proto
  
      Args:
        keys: the name of the TensorFlow Example Feature.
      """
      if not isinstance(keys, (tuple, list)):
        keys = [keys]
      self._keys = keys
function_tokens: def __init__ ( self , keys ) : if not isinstance ( keys , ( tuple , list ) ) : keys = [ keys ] self . _keys = keys