class_docstr: Applies a series of data transformations sequentially.
class_docstr_tok: ["Applies","a","series","of","data","transformations","sequentially","."]
code: def __repr__(self):
      return (
          "TransformSequence(\n "
          + ",\n ".join([repr(f) for f in self.transforms])
          + "\n)"
      )
  
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 13 for calling the TransformSequence obj's underlying member method code with example usage: obj.__repr__() and returns: unknown