class_docstr: Applies a set of data transformations individually to an input time series.
  Stacks all of the results into a multivariate time series.
class_docstr_tok: ["Applies","a","set","of","data","transformations","individually","to","an","input","time","series",".","Stacks","all","of","the","results","into","a","multivariate","time","series","."]
docstr: ``True`` because the inversion state tells us which stacked transform to invert, and which part of the
  output time series to apply that inverse to.
docstr_tok: ["``","True","``","because","the","inversion","state","tells","us","which","stacked","transform","to","invert",",","and","which","part","of","the","output","time","series","to","apply","that","inverse","to","."]
code: def requires_inversion_state(self):
      """
      ``True`` because the inversion state tells us which stacked transform to invert, and which part of the
      output time series to apply that inverse to.
      """
      return True
  
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 3 for calling the TransformStack obj's underlying member method code with example usage: obj.requires_inversion_state() and returns: True