code: def clean(cls, data):
      if isinstance(data, str):
          return data.strip()
      if isinstance(data, Iterable):
          return [d.strip() if d else d for d in data]
      return str(data).strip()
  
imports: import string
  import re
  from typing import Iterable
  from nlpaug.util import Method
  from nlpaug.util.text.tokenizer import Tokenizer
  from nlpaug import Augmenter
  from nlpaug.util import WarningException, WarningName, WarningCode, WarningMessage
label_desc: Use image node_id 2 for calling the WordAugmenter obj's underlying member method code with example usage: obj.clean(cls, data) and returns: str, data, unknown