


from transformers import ProcessorMixin







class      __lowercase  (__SCREAMING_SNAKE_CASE   ):





							"""simple docstring"""







							_UpperCAmelCase     =		"""AutoFeatureExtractor"""
							_UpperCAmelCase     =		"""AutoTokenizer"""









def 		a__       (							A__ = 2_0							):

			try:
						SCREAMING_SNAKE_CASE_						:			Optional[Any]       						= int(A__							)
			except (TypeError, ValueError):
						raise TypeError('Parameter n must be int or castable to int.'							)
			if n <= 0:
						raise ValueError('Parameter n must be greater than or equal to one.'							)
			SCREAMING_SNAKE_CASE_						:			int       						= 0
			while 1:
						i += n * (n - 1)
						SCREAMING_SNAKE_CASE_						:			List[str]       						= 0
						for j in range(2,	A__							):
									if i % j != 0:
												SCREAMING_SNAKE_CASE_						:			str       						= 1
												break
						if nfound == 0:
									if i == 0:
												SCREAMING_SNAKE_CASE_						:			Tuple       						= 1
									return i
			return None


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





