class_docstr: Abstract class for base text explainer 
docstr: Abstract mehtod to generate tokens for a given sentence
  
  :param sentence: Sentence to be tokenized
  :type sentence: str
  :return:  A list of tokens
  :rtype  Iterable[Any]
docstr_tok: ["Abstract","mehtod","to","generate","tokens","for","a","given","sentence",":","param","sentence",":","Sentence","to","be","tokenized",":","type","sentence",":","str",":","return",":","A","list","of","tokens",":","rtype","Iterable","[","Any","]"]
code: def generate_tokens(self, sentence: str) -> Iterable[Any]:
      """Abstract mehtod to generate tokens for a given sentence
  
      :param sentence: Sentence to be tokenized
      :type sentence: str
      :return:  A list of tokens
      :rtype  Iterable[Any]
      """
      pass
  
file_path: interpret-text/python/interpret_text/experimental/common/preprocessor/base_text_preprocessor.py
imports: from abc import abstractmethod, ABC
  from typing import Any, Iterable
label_desc: Use image node_id 4 for calling the BaseTextPreprocessor obj's underlying member method code with example usage: obj.generate_tokens(sentence) without return types