code: 
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  import math
  from itertools import permutations
  
  
  
  def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				int   )		->					bool:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     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(math.sqrt(_UpperCamelCase   ) + 1   )    ,		6   ):
        if number % i == 0 or number % (i + 2) == 0:
           return False
     return True
  
  
  
  def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				int = 7   )		->					int:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     UpperCamelCase__ 						=						"".join(str(_UpperCamelCase   ) for i in range(1    ,		n + 1   )   )
     UpperCamelCase__ 						=						[int("".join(_UpperCamelCase   )   ) for i in permutations(_UpperCamelCase    ,		_UpperCamelCase   )]
     UpperCamelCase__ 						=						[num for num in perm_list if is_prime(_UpperCamelCase   )]
     return max(_UpperCamelCase   ) if pandigitals else 0
  
  
  if __name__ == "__main__":
         print(F"""{solution() = }""")
style_context: 
  
  
  '''simple docstring'''
  
  from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
  from transformers.testing_utils import require_tokenizers, slow
  
  from ..bert.test_tokenization_bert import BertTokenizationTest
  
  
  
  
  
  
  
  @require_tokenizers
  class  UpperCAmelCase (       SCREAMING_SNAKE_CASE__):
   _lowerCamelCase :					Optional[int]    					=					SqueezeBertTokenizer
   _lowerCamelCase :					List[Any]    					=					SqueezeBertTokenizerFast
   _lowerCamelCase :					int    					=					True
  
   def 		lowercase_						( self :	List[str],					**a_ :	str					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname,					**a_					)
  
   @slow
   def 		lowercase_						( self :	int					):
  
  
  
  
  
      """simple docstring"""
  
  
  
      UpperCamelCase__ 						=						SqueezeBertTokenizer.from_pretrained("squeezebert/squeezebert-mnli-headless"					)
  
      UpperCamelCase__ 						=						tokenizer.encode("sequence builders",					add_special_tokens=a_					)
      UpperCamelCase__ 						=						tokenizer.encode("multi-sequence build",					add_special_tokens=a_					)
  
      UpperCamelCase__ 						=						tokenizer.build_inputs_with_special_tokens(a_					)
      UpperCamelCase__ 						=						tokenizer.build_inputs_with_special_tokens(a_,					a_					)
  
      assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
      assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
          tokenizer.sep_token_id
      ]