




import os




def 					lowerCamelCase__       (						):





       '''simple docstring'''



       with open(os.path.dirname(SCREAMING_SNAKE_CASE__	) + """/p022_names.txt"""	) as file:
              __lowerCamelCase   =						str(file.readlines()[0]	)
              __lowerCamelCase   =						names.replace("""\""""  ,			""""""	).split(""","""	)

       names.sort()

       __lowerCamelCase   =						0
       __lowerCamelCase   =						0

       for i, name in enumerate(SCREAMING_SNAKE_CASE__	):
              for letter in name:
                     name_score += ord(SCREAMING_SNAKE_CASE__	) - 64

              total_score += (i + 1) * name_score
              __lowerCamelCase   =						0
       return total_score


if __name__ == "__main__":
       print(solution())





from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup

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

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str = "IMDb_Top_250_Movies.csv"				):
     __UpperCamelCase    							=get_imdb_top_aaa_movies()
     with open(SCREAMING_SNAKE_CASE__			,     'w'			,     newline=''				) as out_file:
          __UpperCamelCase    							=csv.writer(SCREAMING_SNAKE_CASE__				)
          writer.writerow(['Movie title', 'IMDb rating']				)
          for title, rating in movies.items():
               writer.writerow([title, rating]				)


if __name__ == "__main__":
   write_movies()





