


import argparse
import json
import subprocess

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					List[str]			,     SCREAMING_SNAKE_CASE__			:					Tuple				):
     __UpperCamelCase    							=[]

     __UpperCamelCase    							=(
         F'curl -H "Accept: application/vnd.github+json" -H "Authorization: Bearer {token}"'
         ' https://api.github.com/repos/huggingface/transformers/actions/runners'
     )
     __UpperCamelCase    							=subprocess.run(SCREAMING_SNAKE_CASE__			,     shell=SCREAMING_SNAKE_CASE__			,     stdout=subprocess.PIPE				)
     __UpperCamelCase    							=output.stdout.decode('utf-8'				)
     __UpperCamelCase    							=json.loads(SCREAMING_SNAKE_CASE__				)

     __UpperCamelCase    							=status['runners']
     for runner in runners:
          if runner["name"] in target_runners:
               if runner["status"] == "offline":
                    offline_runners.append(SCREAMING_SNAKE_CASE__				)

    # save the result so we can report them on Slack
     with open('offline_runners.txt'			,     'w'				) as fp:
          fp.write(json.dumps(SCREAMING_SNAKE_CASE__				)				)

     if len(SCREAMING_SNAKE_CASE__				) > 0:
          __UpperCamelCase    							='\n'.join([x['name'] for x in offline_runners]				)
          raise ValueError(F'The following runners are offline:\n{failed}'				)


if __name__ == "__main__":

   def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
        return values.split(','				)

   _A		       =						argparse.ArgumentParser()
   # Required parameters
   parser.add_argument(
       '--target_runners',
       default=None,
       type=list_str,
       required=True,
       help='Comma-separated list of runners to check status.',
   )

   parser.add_argument(
       '--token', default=None, type=str, required=True, help='A token that has actions:read permission.'
   )
   _A		       =						parser.parse_args()





   get_runner_status(args.target_runners, args.token)









from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str = ""				):
     __UpperCamelCase    							=url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
     __UpperCamelCase    							=BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__				).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(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
     }

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


if __name__ == "__main__":
   write_movies()





