


A							:					Tuple     						=     {0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

A							:					Tuple     						=     {0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	list[int]:


						'''simple docstring'''






						__snake_case				=		True
						__snake_case				=		[]

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		order += topology_sort(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )

						order.append(_lowerCAmelCase )

						return order





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )						->	list[int]:


						'''simple docstring'''






						__snake_case				=		True
						__snake_case				=		[vert]

						for neighbour in reversed_graph[vert]:
												if not visited[neighbour]:
																		component += find_components(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )

						return component





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	list[list[int]]:


						'''simple docstring'''






						__snake_case				=		len(_lowerCAmelCase ) * [False]
						__snake_case				=		{vert: [] for vert in range(len(_lowerCAmelCase ) )}

						for vert, neighbours in graph.items():
												for neighbour in neighbours:
																		reversed_graph[neighbour].append(_lowerCAmelCase )

						__snake_case				=		[]
						for i, was_visited in enumerate(_lowerCAmelCase ):
												if not was_visited:
																		order += topology_sort(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )

						__snake_case				=		[]
						__snake_case				=		len(_lowerCAmelCase ) * [False]

						for i in range(len(_lowerCAmelCase ) ):
												__snake_case				=		order[len(_lowerCAmelCase ) - i - 1]
												if not visited[vert]:
																		__snake_case				=		find_components(_lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase )
																		components_list.append(_lowerCAmelCase )

						return components_list









from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def 	_lowerCAmelCase       (    _lowerCAmelCase = "" )						->	dict[str, float]:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase = "IMDb_Top_250_Movies.csv" )						->	None:


						'''simple docstring'''






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


if __name__ == "__main__":
	write_movies()





