






import sys
import turtle




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2




def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase					,			):

					'''simple docstring'''







					my_pen.up()
					my_pen.goto(vertexa[0]					,			vertexa[1] )
					my_pen.down()
					my_pen.goto(vertexa[0]					,			vertexa[1] )
					my_pen.goto(vertexa[0]					,			vertexa[1] )
					my_pen.goto(vertexa[0]					,			vertexa[1] )

					if depth == 0:
										return

					triangle(_lowercase					,			get_mid(_lowercase					,			_lowercase )					,			get_mid(_lowercase					,			_lowercase )					,			depth - 1 )
					triangle(_lowercase					,			get_mid(_lowercase					,			_lowercase )					,			get_mid(_lowercase					,			_lowercase )					,			depth - 1 )
					triangle(_lowercase					,			get_mid(_lowercase					,			_lowercase )					,			get_mid(_lowercase					,			_lowercase )					,			depth - 1 )


if __name__ == "__main__":
				if len(sys.argv) != 2:
								raise ValueError(
								    'Correct format for using this script: '
								    'python fractals.py <int:depth_for_fractal>'
								)
				__A      =				turtle.Turtle()
				my_pen.ht()
				my_pen.speed(5)
				my_pen.pencolor('red')

				__A      =				[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
				triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))











from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup




def      __A					(     _lowercase = "" ):

					'''simple docstring'''







					_A								= url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
					_A								= BeautifulSoup(requests.get(_lowercase ).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(_lowercase					,			_lowercase )
					}




def      __A					(     _lowercase = "IMDb_Top_250_Movies.csv" ):

					'''simple docstring'''







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


if __name__ == "__main__":
				write_movies()



