


"""simple docstring"""





from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup


def    _snake_case  (  _snake_case :	str = ""	):
      lowerCAmelCase    :		List[Any]				=      url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
      lowerCAmelCase    :		Any				=      BeautifulSoup(requests.get(_snake_case	).text       ,      '''html.parser'''	)
      lowerCAmelCase    :		Tuple				=      soup.find_all('''td'''       ,      attrs='''titleColumn'''	)
      lowerCAmelCase    :		List[Any]				=      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    _snake_case  (  _snake_case :	str = "IMDb_Top_250_Movies.csv"	):
      lowerCAmelCase    :		Union[str, Any]				=      get_imdb_top_aaa_movies()
      with open(_snake_case       ,      '''w'''       ,      newline=''''''	) as out_file:
            lowerCAmelCase    :		Union[str, Any]				=      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()






"""simple docstring"""





from datetime import datetime

import matplotlib.pyplot as plt
import torch


def    _snake_case  (  _snake_case :	int	):
      for param in module.parameters():
            lowerCAmelCase    :		Optional[int]				=      False


def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      '''cuda''' if torch.cuda.is_available() else '''cpu'''
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            lowerCAmelCase    :		Any				=      '''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    _snake_case  (  _snake_case :	Dict	):
      lowerCAmelCase    :		Optional[int]				=      plt.imshow(_snake_case	)
      fig.axes.get_xaxis().set_visible(_snake_case	)
      fig.axes.get_yaxis().set_visible(_snake_case	)
      plt.show()






def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      datetime.now()
      lowerCAmelCase    :		Union[str, Any]				=      current_time.strftime('''%H:%M:%S'''	)
      return timestamp


