


"""simple docstring"""



import copy
import random

from transformers import CLIPTokenizer







class _lowerCAmelCase				(      snake_case_	):







   def __init__(	self						,	*UpperCamelCase__						,	**UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       super().__init__(*UpperCamelCase__						,	**UpperCamelCase__						)
       snake_case    :      Tuple      					=    {}







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	*UpperCamelCase__						,	**UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    super().add_tokens(UpperCamelCase__						,	*UpperCamelCase__						,	**UpperCamelCase__						)
       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  lowerCamelCase		(	self						,	UpperCamelCase__						,	*UpperCamelCase__						,	UpperCamelCase__=1						,	**UpperCamelCase__						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    []
       if num_vec_per_token == 1:
           self.try_adding_tokens(UpperCamelCase__						,	*UpperCamelCase__						,	**UpperCamelCase__						)
           output.append(UpperCamelCase__						)
       else:
           snake_case    :      Dict      					=    []
           for i in range(UpperCamelCase__						):
               snake_case    :      int      					=    placeholder_token + F'_{i}'
               self.try_adding_tokens(UpperCamelCase__						,	*UpperCamelCase__						,	**UpperCamelCase__						)
               output.append(UpperCamelCase__						)
        # 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'						)
       snake_case    :      Optional[int]      					=    output







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__=False						,	UpperCamelCase__=1.0						)	->		Tuple:

       '''simple docstring'''




       if isinstance(UpperCamelCase__						,	UpperCamelCase__						):
           snake_case    :      List[str]      					=    []
           for i in range(len(UpperCamelCase__						)						):
               output.append(self.replace_placeholder_tokens_in_text(text[i]						,	vector_shuffle=UpperCamelCase__						)						)
           return output
       for placeholder_token in self.token_map:
           if placeholder_token in text:
               snake_case    :      Optional[Any]      					=    self.token_map[placeholder_token]
               snake_case    :      Union[str, Any]      					=    tokens[: 1 + int(len(UpperCamelCase__						) * prop_tokens_to_load						)]
               if vector_shuffle:
                   snake_case    :      List[str]      					=    copy.copy(UpperCamelCase__						)
                   random.shuffle(UpperCamelCase__						)
               snake_case    :      Any      					=    text.replace(UpperCamelCase__						,	" ".join(UpperCamelCase__						)						)
       return text







   def __call__(	self						,	UpperCamelCase__						,	*UpperCamelCase__						,	UpperCamelCase__=False						,	UpperCamelCase__=1.0						,	**UpperCamelCase__						)	->		str:

       '''simple docstring'''




       return super().__call__(
           self.replace_placeholder_tokens_in_text(
               UpperCamelCase__						,	vector_shuffle=UpperCamelCase__						,	prop_tokens_to_load=UpperCamelCase__						)						,	*UpperCamelCase__						,	**UpperCamelCase__						,	)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	*UpperCamelCase__						,	UpperCamelCase__=False						,	UpperCamelCase__=1.0						,	**UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




       return super().encode(
           self.replace_placeholder_tokens_in_text(
               UpperCamelCase__						,	vector_shuffle=UpperCamelCase__						,	prop_tokens_to_load=UpperCamelCase__						)						,	*UpperCamelCase__						,	**UpperCamelCase__						,	)









"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list[int] )	->						float:


    """simple docstring"""





    if not nums:  # Makes sure that the list is not empty
        raise ValueError("List is empty" )

    snake_case    :      List[str]      					=    sum(lowercase ) / len(lowercase )  # Calculate the average
    return sum(abs(x - average ) for x in nums ) / len(lowercase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





