




def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_=False						)       ->	str:



       """simple docstring"""

       if isinstance(lowercase_			,    lowercase_						) and isinstance(lowercase_			,    lowercase_						):
              A__							=   len(set_a.intersection(lowercase_						)						)

              if alternative_union:
                     A__							=   len(lowercase_						) + len(lowercase_						)
              else:
                     A__							=   len(set_a.union(lowercase_						)						)

              return intersection / union

       if isinstance(lowercase_			,    (list, tuple)						) and isinstance(lowercase_			,    (list, tuple)						):
              A__							=   [element for element in set_a if element in set_b]

              if alternative_union:
                     A__							=   len(lowercase_						) + len(lowercase_						)
                     return len(lowercase_						) / union
              else:
                     A__							=   set_a + [element for element in set_b if element not in set_a]
                     return len(lowercase_						) / len(lowercase_						)

              return len(lowercase_						) / len(lowercase_						)
       return None


if __name__ == "__main__":
  _lowerCamelCase     :		List[str]								=       {"""a""", """b""", """c""", """d""", """e"""}
  _lowerCamelCase     :		Optional[Any]								=       {"""c""", """d""", """e""", """f""", """h""", """i"""}
  print(jaccard_similarity(set_a, set_b))








from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup







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



       """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 SCREAMING_SNAKE_CASE    (	lowercase_ = "IMDb_Top_250_Movies.csv"						)       ->	None:



       """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()


