def METHOD_NAME(client_id):
  index_str = tf.strings.split(client_id, sep='_', maxsplit=1)[0]
  index = tf.cast(tf.strings.to_number(index_str), tf.int32)
  def fn(data):
    return collections.OrderedDict(
        [('x', data['x'] + 10 * index), ('y', data['y']), ('z', data['z'])]
    )
  return fn