


'''simple docstring'''





from __future__ import annotations






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int ):






			"""simple docstring"""




			__A=	[True] * limit
			__A=	False
			__A=	False
			__A=	True

			for i in range(3,int(limit**0.5 + 1 ),2 ):
						__A=	i * 2
						while index < limit:
									__A=	False
									__A=	index + i

			__A=	[2]

			for i in range(3,_SCREAMING_SNAKE_CASE,2 ):
						if is_prime[i]:
									primes.append(_SCREAMING_SNAKE_CASE )

			return primes






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int = 100_0000 ):






			"""simple docstring"""




			__A=	prime_sieve(_SCREAMING_SNAKE_CASE )
			__A=	0
			__A=	0

			for i in range(len(_SCREAMING_SNAKE_CASE ) ):
						for j in range(i + length,len(_SCREAMING_SNAKE_CASE ) ):
									__A=	sum(primes[i:j] )
									if sol >= ceiling:
												break

									if sol in primes:
												__A=	j - i
												__A=	sol

			return largest


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







'''simple docstring'''





import re

from filelock import FileLock


try:
					import nltk

					UpperCAmelCase__  			=				True
except (ImportError, ModuleNotFoundError):
					UpperCAmelCase__  			=				False

if NLTK_AVAILABLE:
					with FileLock('''.lock''') as lock:
										nltk.download('''punkt''', quiet=True)






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: str ):






			"""simple docstring"""




			re.sub('<n>','',_SCREAMING_SNAKE_CASE )  # remove pegasus newline char
			assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
			return "\n".join(nltk.sent_tokenize(_SCREAMING_SNAKE_CASE ) )



