





import copy
import random

from transformers import CLIPTokenizer


class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     def __init__(				self							:Dict      ,   *snake_case							:Any      ,   **snake_case							:Tuple	):





        '''simple docstring'''




        super().__init__(*snake_case      ,   **snake_case	)
        A_       :					List[Any]        =      {}



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]      ,   snake_case							:Union[str, Any]      ,   *snake_case							:Optional[int]      ,   **snake_case							:Any	):





        '''simple docstring'''




        A_       :					List[Any]        =      super().add_tokens(snake_case      ,   *snake_case      ,   **snake_case	)
        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     SCREAMING_SNAKE_CASE		(				self							:Union[str, Any]      ,   snake_case							:Optional[int]      ,   *snake_case							:str      ,   snake_case							:Union[str, Any]=1      ,   **snake_case							:Any	):





        '''simple docstring'''




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



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]      ,   snake_case							:Any      ,   snake_case							:Union[str, Any]=False      ,   snake_case							:Tuple=1.0	):





        '''simple docstring'''




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



     def __call__(				self							:List[str]      ,   snake_case							:Tuple      ,   *snake_case							:Optional[Any]      ,   snake_case							:int=False      ,   snake_case							:Optional[Any]=1.0      ,   **snake_case							:Union[str, Any]	):





        '''simple docstring'''




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





     def     SCREAMING_SNAKE_CASE		(				self							:str      ,   snake_case							:Any      ,   *snake_case							:str      ,   snake_case							:List[str]=False      ,   snake_case							:Dict=1.0      ,   **snake_case							:List[str]	):





        '''simple docstring'''




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







from math import sqrt

def   __snake_case    (       _lowerCAmelCase			:			int						)			->    bool:

   if 1 < number < 4:
      # 2 and 3 are primes
      return True
   elif number < 2 or number % 2 == 0 or number % 3 == 0:
      # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
      return False

   # All primes number are in format of 6k +/- 1
   for i in range(5					,					int(sqrt(_lowerCAmelCase						) + 1						)					,					6						):
      if number % i == 0 or number % (i + 2) == 0:
         return False
   return True

def   __snake_case    (       _lowerCAmelCase			:			int = 10001						)			->    int:
   A_       :					Any        =      0
   A_       :					Tuple        =      1
   while count != nth and number < 3:
      number += 1
      if is_prime(_lowerCAmelCase						):
         count += 1
   while count != nth:
      number += 2
      if is_prime(_lowerCAmelCase						):
         count += 1
   return number


if __name__ == "__main__":
 print(F'''{solution() = }''')
