code: def postprocess(self, text):
      text = text.replace("<n>", "\n")
      text = text.replace(SPTokenizer.get_tab_token(), "\t")
      for i in range(2, self.max_blank_length + 1):
          text = text.replace(self.get_blank_token(i), " " * i)
      return text
  
imports: import os
  from typing import Dict, List, Optional, Union
  import numpy
  import sentencepiece
  from transformers.tokenization_utils import PreTrainedTokenizer
  from transformers.tokenization_utils_base import BatchEncoding, EncodedInput
  from transformers.utils import PaddingStrategy, logging
label_desc: Use image node_id 10 for calling the SPTokenizer obj's underlying member method code with example usage: obj.postprocess(text) and returns: text