class_docstr: Applies a series of data transformations sequentially.
class_docstr_tok: ["Applies","a","series","of","data","transformations","sequentially","."]
code: def _invert(self, time_series: TimeSeries) -> TimeSeries:
      logger.warning(
          f"_invert() should not be called by a transform of type {type(self).__name__}. Applying the identity.",
          stack_info=True,
      )
      return time_series
  
imports: from collections import OrderedDict
  import logging
  from typing import List
  from merlion.transform.base import TransformBase, InvertibleTransformBase, Identity
  from merlion.transform.factory import TransformFactory
  from merlion.utils import TimeSeries
label_desc: Use image node_id 12 for calling the TransformSequence obj's underlying member method code with example usage: obj._invert(time_series) and returns: time_series