code: def __getitem__(self, x: Union[int, str]):
      if isinstance(x, int):
          if x < self.num_image_tokens:
              return "<image_{}>".format(x)
          else:
              return self.text_tokenizer.convert_id_to_token(
                  x - self.num_image_tokens
              )
      elif isinstance(x, str):
          if (
              x.startswith("<image_")
              and x.endswith(">")
              and x[7:-1].isdigit()
          ):
              return int(x[7:-1])
          else:
              return (
                  self.text_tokenizer.convert_token_to_id(x)
                  + self.num_image_tokens
              )
      else:
          raise ValueError("The key should be str or int.")
  
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 14 for calling the SPTokenizer obj's underlying member method code with example usage: obj.__getitem__(x) and returns: str, self, int, unknown