code: def tokenize(
      self, texts: Union[str, List[str]], **kwargs: Any
  ) -> np.ndarray:
      if isinstance(texts, str):
          texts = [texts]
      kwargs["return_numpy"] = True
      kwargs["padding"] = "max_length" if self.pad_to_max else True
      return self.encode(texts, **kwargs)
  
file_path: carefree-learn/cflearn/models/nlp/tokenizers/clip.py
imports: import numpy
  from typing import Any
  from typing import List
  from typing import Type
  from typing import Union
  from .schema import ITokenizer
label_desc: Use image node_id 3 for calling the ICLIPTokenizer obj's underlying member method code with example usage: obj.tokenize(texts) and returns: self