code: def batch_size(
      self,
      texts: Optional[List[List[str]]],
      tokens: Optional[List[List[List[str]]]],
  ) -> int:
      if texts is not None:
          return len(texts)
      elif tokens is not None:
          return len(tokens)
      else:
          raise RuntimeError("Empty input for both texts and tokens.")
  
imports: from typing import List, Optional, Tuple
  import torch
  from pytext.torchscript.utils import pad_2d_float, pad_3d_float, validate_padding_control
  from pytext.torchscript.vocab import ScriptVocabulary
  from pytorch.text.fb.utils.transform_utils import pad_2d
label_desc: Use image node_id 7 for calling the ScriptTensorizer obj's underlying member method code with example usage: obj.batch_size(texts, tokens) and returns: len, len