class_docstr: Base class for regex sentences tokenization.
class_docstr_tok: ["Base","class","for","regex","sentences","tokenization","."]
docstr: Method for tokenizing sentences with regular expressions.
  
  :rtype: list
  :param text: text to be tokenized into sentences
  :type text: str
docstr_tok: ["Method","for","tokenizing","sentences","with","regular","expressions",".",":","rtype",":","list",":","param","text",":","text","to","be","tokenized","into","sentences",":","type","text",":","str"]
code: def tokenize(self, text: str, model=None) -> List[str]:
      """Method for tokenizing sentences with regular expressions.
  
      :rtype: list
      :param text: text to be tokenized into sentences
      :type text: str
      """
      sentences = re.split(self.pattern, text)
      return sentences
  
file_path: cltk/src/cltk/sentence/sentence.py
imports: import os
  import re
  from abc import ABC, abstractmethod
  from typing import List
  from nltk.tokenize.punkt import PunktSentenceTokenizer
  from cltk.core import CLTKException
  from cltk.utils import CLTK_DATA_DIR
  from cltk.utils.file_operations import open_pickle
label_desc: Use image node_id 2 for calling the RegexSentenceTokenizer obj's underlying member method code with example usage: obj.tokenize(text, model) and returns: sentences