





'''simple docstring'''

import copy
import random

from transformers import CLIPTokenizer







class __a			( _snake_case      ):





   def __init__(       self					:      List[Any]					,*lowerCamelCase					:      Tuple					,**lowerCamelCase					:      List[Any]     ):

      '''simple docstring'''

      super().__init__(*lowerCamelCase					,**lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							{}





   def   UpperCAmelCase__  (       self					:      List[str]					,lowerCamelCase					:      List[Any]					,*lowerCamelCase					:      Any					,**lowerCamelCase					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							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   UpperCAmelCase__  (       self					:      int					,lowerCamelCase					:      Union[str, Any]					,*lowerCamelCase					:      List[str]					,lowerCamelCase					:      Union[str, Any]=1					,**lowerCamelCase					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							[]
      if num_vec_per_token == 1:
         self.try_adding_tokens(lowerCamelCase					,*lowerCamelCase					,**lowerCamelCase     )
         output.append(lowerCamelCase     )
      else:
         __SCREAMING_SNAKE_CASE   				=							[]
         for i in range(lowerCamelCase     ):
            __SCREAMING_SNAKE_CASE   				=							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"""     )
      __SCREAMING_SNAKE_CASE   				=							output





   def   UpperCAmelCase__  (       self					:      int					,lowerCamelCase					:      Tuple					,lowerCamelCase					:      Optional[Any]=False					,lowerCamelCase					:      int=1.0     ):

      '''simple docstring'''

      if isinstance(lowerCamelCase					,lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							[]
         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:
            __SCREAMING_SNAKE_CASE   				=							self.token_map[placeholder_token]
            __SCREAMING_SNAKE_CASE   				=							tokens[: 1 + int(len(lowerCamelCase     ) * prop_tokens_to_load     )]
            if vector_shuffle:
               __SCREAMING_SNAKE_CASE   				=							copy.copy(lowerCamelCase     )
               random.shuffle(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							text.replace(lowerCamelCase					,""" """.join(lowerCamelCase     )     )
      return text





   def __call__(       self					:      Optional[Any]					,lowerCamelCase					:      Any					,*lowerCamelCase					:      List[Any]					,lowerCamelCase					:      List[str]=False					,lowerCamelCase					:      Any=1.0					,**lowerCamelCase					:      Dict     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str					,lowerCamelCase					:      Dict					,*lowerCamelCase					:      Optional[int]					,lowerCamelCase					:      List[Any]=False					,lowerCamelCase					:      Optional[Any]=1.0					,**lowerCamelCase					:      Optional[int]     ):

      '''simple docstring'''

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












from math import factorial



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case							)		->    int:

		# If either of the conditions are true, the function is being asked
		# to calculate a factorial of a negative number, which is not possible
		if n < k or k < 0:
				raise ValueError('Please enter positive integers for n and k where n >= k'							)
		return factorial(snake_case							) // (factorial(snake_case							) * factorial(n - k							))


if __name__ == "__main__":
		print(
		    '''The number of five-card hands possible from a standard''',
		    F"""fifty-two card deck is: {combinations(52, 5)}\n""",
		)

		print(
		    '''If a class of 40 students must be arranged into groups of''',
		    F"""4 for group projects, there are {combinations(40, 4)} ways""",
		    '''to arrange them.\n''',
		)

		print(
		    '''If 10 teams are competing in a Formula One race, there''',
		    F"""are {combinations(10, 3)} ways that first, second and""",
		    '''third place can be awarded.''',
		)




