code: def row_size(
      self,
      texts_list: Optional[List[List[str]]] = None,
      tokens_list: Optional[List[List[List[str]]]] = None,
  ) -> int:
      if texts_list is not None:
          return len(texts_list[0])
      elif tokens_list is not None:
          return len(tokens_list[0])
      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 8 for calling the ScriptTensorizer obj's underlying member method code with example usage: obj.row_size(texts_list, tokens_list) and returns: len, len