




import sys







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	List[Any]:



       """simple docstring"""

       A__							=   len(lowercase_						)
       A__							=   [[0 for x in range(lowercase_						)] for x in range(lowercase_						)]
       A__							=   [[0 for x in range(lowercase_						)] for x in range(lowercase_						)]

       for chain_length in range(2			,    lowercase_						):
              for a in range(1			,    n - chain_length + 1						):
                     A__							=   a + chain_length - 1

                     A__							=   sys.maxsize
                     for c in range(lowercase_			,    lowercase_						):
                            A__							=   (
                                matrix[a][c] + matrix[c + 1][b] + array[a - 1] * array[c] * array[b]
                            )
                            if cost < matrix[a][b]:
                                   A__							=   cost
                                   A__							=   c
       return matrix, sol







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	Optional[Any]:



       """simple docstring"""

       if i == j:
              print('''A''' + str(lowercase_						)			,    end=''' '''						)
       else:
              print('''('''			,    end=''' '''						)
              print_optiomal_solution(lowercase_			,    lowercase_			,    optimal_solution[i][j]						)
              print_optiomal_solution(lowercase_			,    optimal_solution[i][j] + 1			,    lowercase_						)
              print(''')'''			,    end=''' '''						)







def SCREAMING_SNAKE_CASE    (	)       ->	List[Any]:



       """simple docstring"""

       A__							=   [30, 35, 15, 5, 10, 20, 25]
       A__							=   len(lowercase_						)
       # Size of matrix created from above array will be
       # 30*35 35*15 15*5 5*10 10*20 20*25
       A__			,							A__							=   matrix_chain_order(lowercase_						)

       print('''No. of Operation required: ''' + str(matrix[1][n - 1]						)						)
       print_optiomal_solution(lowercase_			,    1			,    n - 1						)


if __name__ == "__main__":
  main()










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()


