code: def add_arguments(
      cls, parser: argparse.ArgumentParser
  ) -> argparse.ArgumentParser:
      group = parser.add_argument_group(title=cls.__name__)
  
      group.add_argument(
          "--text-tokenizer.clip.merges-path",
          type=str,
          default=None,
          help="Path to bpe merges file.",
      )
  
      group.add_argument(
          "--text-tokenizer.clip.encoder-json-path",
          type=str,
          default=None,
          help="Optional, path to BPE encoder json file. When specified, this is used to infer num_merges.",
      )
      return parser
  
file_path: ml-cvnets/data/text_tokenizer/clip_tokenizer.py
imports: import argparse
  import torch
  from torch import Tensor
  from torchtext.transforms import CLIPTokenizer
  from data.text_tokenizer import TOKENIZER_REGISTRY, BaseTokenizer
  from utils import logger
  from utils.download_utils import get_local_path
label_desc: Use image node_id 2 for calling the ClipTokenizer obj's underlying member method code with example usage: obj.add_arguments(cls, parser) and returns: parser