





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					)    ->    int:







   """simple docstring"""

   if not isinstance(UpperCAmelCase      ,  UpperCAmelCase					):
      raise TypeError('''only integers accepted as input'''					)
   else:
      lowerCamelCase__       :						Any        =							str(abs(UpperCAmelCase					)					)
      lowerCamelCase__       :						Union[str, Any]        =							[list(UpperCAmelCase					) for char in range(len(UpperCAmelCase					)					)]
      for index in range(len(UpperCAmelCase					)					):
         num_transpositions[index].pop(UpperCAmelCase					)
      return max(
          int(''''''.join(list(UpperCAmelCase					)					)					) for transposition in num_transpositions					)


if __name__ == "__main__":
       __import__('doctest').testmod()



