





'''simple docstring'''


import copy
import random

from transformers import CLIPTokenizer

class  lowerCAmelCase_		(		__magic_name__		):




 def __init__(						self      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)     ->				Dict:
     super().__init__(*_lowerCAmelCase      ,  **_lowerCAmelCase		)
     _lowerCAmelCase						      =   {}




 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)     ->				List[str]:
     _lowerCAmelCase						      =   super().add_tokens(_lowerCAmelCase      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)
     if num_added_tokens == 0:
         raise ValueError(
             f'''The tokenizer already contains the token {placeholder_token}. Please pass a different'''
             " `placeholder_token` that is not already in the tokenizer."		)




 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  *_lowerCAmelCase      ,  _lowerCAmelCase=1      ,  **_lowerCAmelCase		)     ->				Union[str, Any]:
     _lowerCAmelCase						      =   []
     if num_vec_per_token == 1:
         self.try_adding_tokens(_lowerCAmelCase      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)
         output.append(_lowerCAmelCase		)
     else:
         _lowerCAmelCase						      =   []
         for i in range(_lowerCAmelCase		):
             _lowerCAmelCase						      =   placeholder_token + f'''_{i}'''
             self.try_adding_tokens(_lowerCAmelCase      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase		)
             output.append(_lowerCAmelCase		)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
     for token in self.token_map:
         if token in placeholder_token:
             raise ValueError(
                 f'''The tokenizer already has placeholder token {token} that can get confused with'''
                 f''' {placeholder_token}keep placeholder tokens independent'''		)
     _lowerCAmelCase						      =   output




 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=1.0		)     ->				int:
     if isinstance(_lowerCAmelCase      ,  _lowerCAmelCase		):
         _lowerCAmelCase						      =   []
         for i in range(len(_lowerCAmelCase		)		):
             output.append(self.replace_placeholder_tokens_in_text(text[i]      ,  vector_shuffle=_lowerCAmelCase		)		)
         return output
     for placeholder_token in self.token_map:
         if placeholder_token in text:
             _lowerCAmelCase						      =   self.token_map[placeholder_token]
             _lowerCAmelCase						      =   tokens[: 1 + int(len(_lowerCAmelCase		) * prop_tokens_to_load		)]
             if vector_shuffle:
                 _lowerCAmelCase						      =   copy.copy(_lowerCAmelCase		)
                 random.shuffle(_lowerCAmelCase		)
             _lowerCAmelCase						      =   text.replace(_lowerCAmelCase      ,  " ".join(_lowerCAmelCase		)		)
     return text




 def __call__(						self      ,  _lowerCAmelCase      ,  *_lowerCAmelCase      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=1.0      ,  **_lowerCAmelCase		)     ->				Optional[int]:
     return super().__call__(
         self.replace_placeholder_tokens_in_text(
             _lowerCAmelCase      ,  vector_shuffle=_lowerCAmelCase      ,  prop_tokens_to_load=_lowerCAmelCase		)      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase      ,  )





 def 				_snake_case (						self      ,  _lowerCAmelCase      ,  *_lowerCAmelCase      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=1.0      ,  **_lowerCAmelCase		)     ->				Tuple:
     return super().encode(
         self.replace_placeholder_tokens_in_text(
             _lowerCAmelCase      ,  vector_shuffle=_lowerCAmelCase      ,  prop_tokens_to_load=_lowerCAmelCase		)      ,  *_lowerCAmelCase      ,  **_lowerCAmelCase      ,  )









'''simple docstring'''


from __future__ import annotations


def 						__a(SCREAMING_SNAKE_CASE_	:       list     ):



    '''simple docstring'''





    if not nums:
        raise ValueError("List is empty"     )
    return sum(SCREAMING_SNAKE_CASE_     ) / len(SCREAMING_SNAKE_CASE_     )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


