


from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def __UpperCAmelCase       (		__A = ""			)						->					dict[str, float]:



       '''simple docstring'''





       UpperCAmelCase__										=     url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
       UpperCAmelCase__										=     BeautifulSoup(requests.get(__A			).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(__A ,						__A			)
       }





def __UpperCAmelCase       (		__A = "IMDb_Top_250_Movies.csv"			)						->					None:



       '''simple docstring'''





       UpperCAmelCase__										=     get_imdb_top_aaa_movies()
       with open(__A ,						"w" ,						newline=""			) as out_file:
              UpperCAmelCase__										=     csv.writer(__A			)
              writer.writerow(["Movie title", "IMDb rating"]			)
              for title, rating in movies.items():
                     writer.writerow([title, rating]			)


if __name__ == "__main__":
    write_movies()









from .imports import is_tqdm_available


if is_tqdm_available():
    from tqdm.auto import tqdm as _tqdm

from ..state import PartialState





def __UpperCAmelCase       (		__A = True ,						*__A ,						**__A			)						->					Any:



       '''simple docstring'''





       if not is_tqdm_available():
              raise ImportError("Accelerate's `tqdm` module requires `tqdm` to be installed. Please run `pip install tqdm`."			)
       UpperCAmelCase__										=     False
       if main_process_only:
              UpperCAmelCase__										=     PartialState().local_process_index == 0
       return _tqdm(*__A ,						**__A ,						disable=__A			)





