






import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


lowerCamelCase      :       List[str]    =						logging.get_logger(__name__)



class 				_UpperCamelCase      (a_      ):


      def __init__(						self       ,    *__UpperCamelCase       ,    **__UpperCamelCase						)->						None:
           warnings.warn(
               "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
               " use YolosImageProcessor instead."       ,    __UpperCamelCase       ,    )
           super().__init__(*__UpperCamelCase       ,    **__UpperCamelCase						)














from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





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





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


if __name__ == "__main__":
 write_movies()






