code: def tokenize(self, raw_token: str) -> List[Tuple[str, int, int]]:
      tokens = torch.jit.annotate(List[Tuple[str, int, int]], [])
  
      for bpe_token in self.bpe.bpe_token(raw_token):
          tokens.append((bpe_token, -1, -1))
  
      return tokens
  
file_path: pytext/pytext/torchscript/tokenizer/tokenizer.py
imports: from typing import List, Tuple
  import torch
  from .bpe import ScriptBPE
label_desc: Use image node_id 2 for calling the ScriptBPETokenizer obj's underlying member method code with example usage: obj.tokenize(raw_token) and returns: tokens