'''simple docstring'''




from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup






def 				snake_case__							(			_A:					str = "" )    ->	List[Any]:

		'''simple docstring'''


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






def 				snake_case__							(			_A:					str = "IMDb_Top_250_Movies.csv" )    ->	Any:

		'''simple docstring'''


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


if __name__ == "__main__":
						write_movies()






import requests

_A   =     "https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="






def    lowerCamelCase__				(				__lowerCAmelCase  :  str				):




			"""simple docstring"""


			lowerCAmelCase_						=	requests.get(_NEWS_API + bbc_news_api_key				).json()
			# each article in the list is a dict
			for i, article in enumerate(bbc_news_page["articles"]    ,							1				):
						print(F"""{i}.) {article['title']}"""				)


if __name__ == "__main__":
			fetch_bbc_news(bbc_news_api_key="<Your BBC News API key goes here>")



