





import copy
import random

from transformers import CLIPTokenizer


class        __SCREAMING_SNAKE_CASE      (			lowerCAmelCase_ ):







       def __init__(				self					:     Dict		, *A					:     Optional[int]		, **A					:     Tuple      )       ->Any:
          super().__init__(*A		, **A      )
          lowerCamelCase__       :						Optional[int]        =							{}







       def 						__lowerCamelCase   (				self					:     Union[str, Any]		, A					:     Optional[Any]		, *A					:     int		, **A					:     Dict      )       ->Optional[int]:
          lowerCamelCase__       :						Union[str, Any]        =							super().add_tokens(A		, *A		, **A      )
          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					:     Optional[Any]		, A					:     List[Any]		, *A					:     Dict		, A					:     Dict=1		, **A					:     Optional[int]      )       ->Optional[Any]:
          lowerCamelCase__       :						List[str]        =							[]
          if num_vec_per_token == 1:
             self.try_adding_tokens(A		, *A		, **A      )
             output.append(A      )
          else:
             lowerCamelCase__       :						Union[str, Any]        =							[]
             for i in range(A      ):
                lowerCamelCase__       :						Any        =							placeholder_token + F"_{i}"
                self.try_adding_tokens(A		, *A		, **A      )
                output.append(A      )
        # 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__       :						Optional[int]        =							output







       def 						__lowerCamelCase   (				self					:     List[str]		, A					:     str		, A					:     Any=False		, A					:     Union[str, Any]=1.0      )       ->Optional[Any]:
          if isinstance(A		, A      ):
             lowerCamelCase__       :						Tuple        =							[]
             for i in range(len(A      )      ):
                output.append(self.replace_placeholder_tokens_in_text(text[i]		, vector_shuffle=A      )      )
             return output
          for placeholder_token in self.token_map:
             if placeholder_token in text:
                lowerCamelCase__       :						Tuple        =							self.token_map[placeholder_token]
                lowerCamelCase__       :						Dict        =							tokens[: 1 + int(len(A      ) * prop_tokens_to_load      )]
                if vector_shuffle:
                   lowerCamelCase__       :						Optional[int]        =							copy.copy(A      )
                   random.shuffle(A      )
                lowerCamelCase__       :						Optional[Any]        =							text.replace(A		, ''' '''.join(A      )      )
          return text







       def __call__(				self					:     Optional[Any]		, A					:     Any		, *A					:     Tuple		, A					:     Union[str, Any]=False		, A					:     Union[str, Any]=1.0		, **A					:     Dict      )       ->List[Any]:
          return super().__call__(
              self.replace_placeholder_tokens_in_text(
                  A		, vector_shuffle=A		, prop_tokens_to_load=A      )		, *A		, **A		, )







       def 						__lowerCamelCase   (				self					:     Union[str, Any]		, A					:     List[Any]		, *A					:     int		, A					:     Tuple=False		, A					:     Tuple=1.0		, **A					:     Optional[int]      )       ->Any:
          return super().encode(
              self.replace_placeholder_tokens_in_text(
                  A		, vector_shuffle=A		, prop_tokens_to_load=A      )		, *A		, **A		, )










def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase					)    ->    Dict:







   """simple docstring"""
   if b == 0:
      return 1
   if (b % 2) == 0:
      return actual_power(UpperCAmelCase      ,  int(b / 2					)					) * actual_power(UpperCAmelCase      ,  int(b / 2					)					)
   else:
      return a * actual_power(UpperCAmelCase      ,  int(b / 2					)					) * actual_power(UpperCAmelCase      ,  int(b / 2					)					)



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase					)    ->    float:







   """simple docstring"""
   if b < 0:
      return 1 / actual_power(UpperCAmelCase      ,  UpperCAmelCase					)
   return actual_power(UpperCAmelCase      ,  UpperCAmelCase					)


if __name__ == "__main__":
       print(power(-2, -3))



