


'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_    :			Optional[int]      				=			logging.get_logger(__name__)

a_    :			int      				=			{
    '''facebook/timesformer''': '''https://huggingface.co/facebook/timesformer/resolve/main/config.json''',
}




class        a   (   __snake_case				):
 _lowerCAmelCase           =		"""timesformer"""
 def __init__(       self					, __magic_name__=2_24					, __magic_name__=16					, __magic_name__=3					, __magic_name__=8					, __magic_name__=7_68					, __magic_name__=12					, __magic_name__=12					, __magic_name__=30_72					, __magic_name__="gelu"					, __magic_name__=0.0					, __magic_name__=0.0					, __magic_name__=0.0_2					, __magic_name__=1e-6					, __magic_name__=True					, __magic_name__="divided_space_time"					, __magic_name__=0					, **__magic_name__					, )    ->							Dict:
      super().__init__(**__SCREAMING_SNAKE_CASE  )

      _a						=							image_size
      _a						=							patch_size
      _a						=							num_channels
      _a						=							num_frames

      _a						=							hidden_size
      _a						=							num_hidden_layers
      _a						=							num_attention_heads
      _a						=							intermediate_size
      _a						=							hidden_act
      _a						=							hidden_dropout_prob
      _a						=							attention_probs_dropout_prob
      _a						=							initializer_range
      _a						=							layer_norm_eps
      _a						=							qkv_bias

      _a						=							attention_type
      _a						=							drop_path_rate









"""simple docstring"""





import argparse
import json
import subprocess







def      lowerCamelCase__       (							_lowerCamelCase       :		Tuple		,				_lowerCamelCase       :		str )      ->				List[Any]:
  lowerCamelCase_         =						[]

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

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

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

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


if __name__ == "__main__":







  def      lowerCamelCase__       (							_lowerCamelCase       :		Dict )      ->				Tuple:
    return values.split(',' )

  _SCREAMING_SNAKE_CASE					:				Union[str, Any]					    =						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.'''
  )
  _SCREAMING_SNAKE_CASE					:				Any					    =						parser.parse_args()






  get_runner_status(args.target_runners, args.token)




