





from datetime import datetime

import matplotlib.pyplot as plt
import torch





def 	lowerCAmelCase_					(			__a						)	->						Any:







  """simple docstring"""





  for param in module.parameters():
    lowerCamelCase__: Tuple         =False





def 	lowerCAmelCase_					(			)	->						Optional[int]:







  """simple docstring"""





  lowerCamelCase__: List[str]         ="cuda" if torch.cuda.is_available() else "cpu"
  if torch.backends.mps.is_available() and torch.backends.mps.is_built():
    lowerCamelCase__: str         ="mps"
  if device == "mps":
    print(
        "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
        " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
        " with generations."						)
  return device





def 	lowerCAmelCase_					(			__a						)	->						List[str]:







  """simple docstring"""





  lowerCamelCase__: Union[str, Any]         =plt.imshow(__a						)
  fig.axes.get_xaxis().set_visible(__a						)
  fig.axes.get_yaxis().set_visible(__a						)
  plt.show()






def 	lowerCAmelCase_					(			)	->						Optional[Any]:







  """simple docstring"""





  lowerCamelCase__: List[str]         =datetime.now()
  lowerCamelCase__: str         =current_time.strftime("%H:%M:%S"						)
  return timestamp









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()






