class_docstr: An abstract class for transforming a sequence of text to produce a list of
  potential adversarial example.
class_docstr_tok: ["An","abstract","class","for","transforming","a","sequence","of","text","to","produce","a","list","of","potential","adversarial","example","."]
code: def __init__(self, **kwargs):
      pass
  
file_path: textflint/textflint/generation/transformation/transformation.py
imports: import random
  from abc import ABC, abstractmethod
  from ...common.utils import logger
  from ...common.utils.list_op import trade_off_sub_words
  from ...common.utils.error import FlintError
  from ...common.preprocess.en_processor import EnProcessor
  from ...common.preprocess.cn_processor import CnProcessor
label_desc: Use image node_id 1 to create a new Transformation object from inherited base classes: ABC with example: obj = Transformation()