






from __future__ import annotations

from typing import TypedDict





class 						SCREAMING_SNAKE_CASE				( _SCREAMING_SNAKE_CASE					):





							"""simple docstring"""

							lowerCAmelCase_						  =					42
							lowerCAmelCase_						  =					42




def      __A					(     _lowercase ):

					'''simple docstring'''







					if not isinstance(_lowercase					,			_lowercase ):
										raise TypeError('''The parameter s type must be str.''' )

					return [s[i:] + s[:i] for i in range(len(_lowercase ) )]




def      __A					(     _lowercase ):

					'''simple docstring'''







					if not isinstance(_lowercase					,			_lowercase ):
										raise TypeError('''The parameter s type must be str.''' )
					if not s:
										raise ValueError('''The parameter s must not be empty.''' )

					_A								= all_rotations(_lowercase )
					rotations.sort()  # sort the list of rotations in alphabetically order
					# make a string composed of the last char of each rotation
					_A								= {
					    '''bwt_string''': ''''''.join([word[-1] for word in rotations] ),
					    '''idx_original_string''': rotations.index(_lowercase ),
					}
					return response




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					if not isinstance(_lowercase					,			_lowercase ):
										raise TypeError('''The parameter bwt_string type must be str.''' )
					if not bwt_string:
										raise ValueError('''The parameter bwt_string must not be empty.''' )
					try:
										_A								= int(_lowercase )
					except ValueError:
										raise TypeError(
										    '''The parameter idx_original_string type must be int or passive'''
										    ''' of cast to int.''' )
					if idx_original_string < 0:
										raise ValueError('''The parameter idx_original_string must not be lower than 0.''' )
					if idx_original_string >= len(_lowercase ):
										raise ValueError(
										    '''The parameter idx_original_string must be lower than''' ''' len(bwt_string).''' )

					_A								= [''''''] * len(_lowercase )
					for _ in range(len(_lowercase ) ):
										for i in range(len(_lowercase ) ):
															_A								= bwt_string[i] + ordered_rotations[i]
										ordered_rotations.sort()
					return ordered_rotations[idx_original_string]


if __name__ == "__main__":
				__A      =				"Provide a string that I will generate its BWT transform: "
				__A      =				input(entry_msg).strip()
				__A      =				bwt_transform(s)
				print(
				    f'Burrows Wheeler transform for string \'{s}\' results '
				    f'in \'{result["bwt_string"]}\''
				)
				__A      =				reverse_bwt(result['bwt_string'], result['idx_original_string'])
				print(
				    f'Reversing Burrows Wheeler transform for entry \'{result["bwt_string"]}\' '
				    f'we get original string \'{original_string}\''
				)











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()



