


'''simple docstring'''





from __future__ import annotations

from collections.abc import Generator






def 						UpperCAmelCase__(				):






			"""simple docstring"""




			__A=	{}
			__A=	2
			while True:
						__A=	factor_map.pop(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )
						if factor:
									__A=	factor + prime
									while x in factor_map:
												x += factor
									__A=	factor
						else:
									__A=	prime
									yield prime
						prime += 1






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: float = 1e1_0 ):






			"""simple docstring"""




			__A=	sieve()

			__A=	1
			while True:
						__A=	next(_SCREAMING_SNAKE_CASE )
						if (2 * prime * n) > limit:
									return n
						# Ignore the next prime as the reminder will be 2.
						next(_SCREAMING_SNAKE_CASE )
						n += 2


if __name__ == "__main__":
					print(solution())







'''simple docstring'''





from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: str = "" ):






			"""simple docstring"""




			__A=	url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
			__A=	BeautifulSoup(requests.get(_SCREAMING_SNAKE_CASE ).text,'html.parser' )
			__A=	soup.find_all('td',attrs='titleColumn' )
			__A=	soup.find_all('td',class_='ratingColumn imdbRating' )
			return {
			    title.a.text: float(rating.strong.text )
			    for title, rating in zip(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE )
			}






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: str = "IMDb_Top_250_Movies.csv" ):






			"""simple docstring"""




			__A=	get_imdb_top_aaa_movies()
			with open(_SCREAMING_SNAKE_CASE,'w',newline='' ) as out_file:
						__A=	csv.writer(_SCREAMING_SNAKE_CASE )
						writer.writerow(['Movie title', 'IMDb rating'] )
						for title, rating in movies.items():
									writer.writerow([title, rating] )


if __name__ == "__main__":
					write_movies()



