
from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





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





def     _a					(						lowerCamelCase = "IMDb_Top_250_Movies.csv"							):
 lowerCamelCase		:	Dict							=      get_imdb_top_aaa_movies()
 with open(lowerCamelCase,	"""w""",	newline=""""""							) as out_file:
  lowerCamelCase		:	Any							=      csv.writer(lowerCamelCase							)
  writer.writerow(["""Movie title""", """IMDb rating"""]							)
  for title, rating in movies.items():
   writer.writerow([title, rating]							)


if __name__ == "__main__":
      write_movies()






_lowerCamelCase					   ={
    "joule": 1.0,
    "kilojoule": 1_0_0_0,
    "megajoule": 1_0_0_0_0_0_0,
    "gigajoule": 1_0_0_0_0_0_0_0_0_0,
    "wattsecond": 1.0,
    "watthour": 3_6_0_0,
    "kilowatthour": 3_6_0_0_0_0_0,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_1_8_6.8,
    "kilocalorie_nutr": 4_1_8_6_8_0_0.0_0,
    "electronvolt": 1.6_0_2_1_7_6_6_3_4E-1_9,
    "britishthermalunit_it": 1_0_5_5.0_5_5_8_5,
    "footpound": 1.355818,
}





def     _a					(						lowerCamelCase,	lowerCamelCase,	lowerCamelCase							):
 if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
  lowerCamelCase		:	Dict							=      (
      F'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
      F'''Valid values are: {", ".join(lowerCamelCase							)}'''
  )
  raise ValueError(lowerCamelCase							)
 return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




