import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase_			    =							[
    '''good first issue''',
    '''feature request''',
    '''wip''',
]




def       lowerCAmelCase_     (		)    ->				int:







 '''simple docstring'''
 _UpperCamelCase:     Optional[int]							= Github(os.environ['''GITHUB_TOKEN''']		)
 _UpperCamelCase:     str							= g.get_repo('''huggingface/accelerate'''		)
 _UpperCamelCase:     str							= repo.get_issues(state='''open'''		)

 for issue in open_issues:
  _UpperCamelCase:     int							= sorted([comment for comment in issue.get_comments()]  ,					key=lambda lowercase		: i.created_at  ,					reverse=lowercase		)
  _UpperCamelCase:     List[Any]							= comments[0] if len(lowercase		) > 0 else None
  _UpperCamelCase:     Optional[Any]							= dt.utcnow()
  _UpperCamelCase:     Any							= (current_time - issue.updated_at).days
  _UpperCamelCase:     Optional[int]							= (current_time - issue.created_at).days
  if (
      last_comment is not None
      and last_comment.user.login == "github-actions[bot]"
      and days_since_updated > 7
      and days_since_creation >= 30
      and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()		)
  ):
   # Close issue since it has been 7 days of inactivity since bot mention.
   issue.edit(state='''closed'''		)
  elif (
      days_since_updated > 23
      and days_since_creation >= 30
      and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()		)
  ):
   # Add stale comment
   issue.create_comment(
       '''This issue has been automatically marked as stale because it has not had '''
       '''recent activity. If you think this still needs to be addressed '''
       '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
       '''[contributing guidelines](https://github.com/huggingface/accelerate/blob/main/CONTRIBUTING.md) '''
       '''are likely to be ignored.'''		)


if __name__ == "__main__":
  main()
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							)