docstr: get the vocab id range for each of the encoded tokens
  @returns [(min, max), (min, max), ...]
docstr_tok: ["get","the","vocab","id","range","for","each","of","the","encoded","tokens","@","returns","[","(","min",",","max",")",",","(","min",",","max",")",",","...","]"]
code: def code_range(self) -> List[Tuple[int, int]]:
      """
      get the vocab id range for each of the encoded tokens
      @returns [(min, max), (min, max), ...]
      """
      return [(self.start_id, self.end_id)]
  
imports: import math
  from typing import Dict, List, Tuple
  import numpy
  from numpy import ndarray
  from sklearn.preprocessing import PowerTransformer, QuantileTransformer, RobustScaler
  from nemo.utils import logging
label_desc: Use image node_id 5 for calling the Code obj's underlying member method code with example usage: obj.code_range() and returns: list