import argparse
import json
import subprocess




def       lowerCAmelCase_   (		lowercase:							Optional[int]  ,					lowercase:							Tuple		)    ->				Optional[int]:







 '''simple docstring'''
 _UpperCamelCase:     Optional[Any]							= []

 _UpperCamelCase:     List[Any]							= (
     F"""curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""""
     ''' https://api.github.com/repos/huggingface/transformers/actions/runners'''
 )
 _UpperCamelCase:     List[Any]							= subprocess.run(_SCREAMING_SNAKE_CASE  ,					shell=_SCREAMING_SNAKE_CASE  ,					stdout=subprocess.PIPE		)
 _UpperCamelCase:     Union[str, Any]							= output.stdout.decode('''utf-8'''		)
 _UpperCamelCase:     Union[str, Any]							= json.loads(_SCREAMING_SNAKE_CASE		)

 _UpperCamelCase:     Tuple							= 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:     List[str]							= '''\n'''.join([x['''name'''] for x in offline_runners]		)
  raise ValueError(F"""The following runners are offline:\n{failed}"""		)


if __name__ == "__main__":




  def       lowerCAmelCase_   (		lowercase:							Tuple		)    ->				str:







   '''simple docstring'''
   return values.split(''','''		)

  UpperCAmelCase_			    =							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.'''
  )
  UpperCAmelCase_			    =							parser.parse_args()





  get_runner_status(args.target_runners, args.token)
import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  str		,  **_lowercase					:  int							):



    """simple docstring"""



    warnings.warn(
        '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use PerceiverImageProcessor instead.'''		,  _lowercase		,  )
    super().__init__(*_lowercase		,  **_lowercase							)