
"""simple docstring"""







from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup




def       A_      (       lowercase = ""   )  ->				dict[str, float]:


     """simple docstring"""







     UpperCAmelCase_    :     str            =	url or """https://www.imdb.com/chart/top/?ref_=nv_mv_250"""
     UpperCAmelCase_    :     Union[str, Any]            =	BeautifulSoup(requests.get(lowercase   ).text    ,			"""html.parser"""   )
     UpperCAmelCase_    :     Dict            =	soup.find_all("""td"""    ,			attrs="""titleColumn"""   )
     UpperCAmelCase_    :     Union[str, Any]            =	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"   )  ->				None:


     """simple docstring"""







     UpperCAmelCase_    :     List[str]            =	get_imdb_top_aaa_movies()
     with open(lowercase    ,			"""w"""    ,			newline=""""""   ) as out_file:
          UpperCAmelCase_    :     Optional[Any]            =	csv.writer(lowercase   )
          writer.writerow(["""Movie title""", """IMDb rating"""]   )
          for title, rating in movies.items():
               writer.writerow([title, rating]   )


if __name__ == "__main__":
       write_movies()



"""simple docstring"""







lowercase_         =       "\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

lowercase_         =       [{"type": "code", "content": INSTALL_CONTENT}]
lowercase_         =       {
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}

