


'''simple docstring'''



import math






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int       ):

					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(_SCREAMING_SNAKE_CASE       ) + 1       )						,				6       ):
										if number % i == 0 or number % (i + 2) == 0:
															return False
					return True






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int = 10_001       ):

					try:
										__a      :	Any    =  int(_SCREAMING_SNAKE_CASE       )
					except (TypeError, ValueError):
										raise TypeError('Parameter nth must be int or castable to int.'       ) from None
					if nth <= 0:
										raise ValueError('Parameter nth must be greater than or equal to one.'       )
					__a      :	list[int]    =  []
					__a      :	List[Any]    =  2
					while len(_SCREAMING_SNAKE_CASE       ) < nth:
										if is_prime(_SCREAMING_SNAKE_CASE       ):
															primes.append(_SCREAMING_SNAKE_CASE       )
															num += 1
										else:
															num += 1
					return primes[len(_SCREAMING_SNAKE_CASE       ) - 1]


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







'''simple docstring'''



import re

from filelock import FileLock


try:
	import nltk

	__lowercase     :						Optional[Any]	=     True
except (ImportError, ModuleNotFoundError):
	__lowercase     :						Dict	=     False

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






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       str       ):
					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       )       )



