code: def bpe(self, token):  # pylint: disable=method-hidden
      word = tuple(self.byte_encoder[b] for b in token.encode("utf-8"))
  
      if len(word) == 1:
          return word
  
      while True:
          min_pair = None
          min_idxs = []
          min_rank = None
          for i, pair in enumerate(zip(word[:-1], word[1:])):
              try:
                  rank = self.bpe_ranks[pair]
                  if min_rank is None or rank < min_rank:
                      min_rank = rank
                      min_pair = pair
                      del min_idxs[::]
                      min_idxs.append(i)
                  elif min_rank == rank and i > min_idxs[-1] + 1:
                      min_idxs.append(i)
              except KeyError:
                  pass
  
          if min_pair is None:
              break
  
          new_word = []
          i_start = 0
          for i in min_idxs:
              new_word.extend(word[i_start:i])
              new_word.append(min_pair[0] + min_pair[1])
              i_start = i + 2
  
          if i_start < len(word):
              new_word.extend(word[i_start:])
  
          new_word = tuple(new_word)
          word = new_word
          if len(word) == 1:
              break
  
      return word
  
imports: import json
  import os.path
  from dataclasses import dataclass
  from functools import lru_cache
  from typing import ClassVar
  import blobfile
  import regex
  import torch
label_desc: Use image node_id 3 for calling the BPEEncoding obj's underlying member method code with example usage: obj.bpe(token) and returns: word, word