




"""simple docstring"""






import argparse
import json
import subprocess





def 							UpperCAmelCase		(		snake_case			:					List[Any]      ,       snake_case			:					Optional[Any]    ):
					_lowerCAmelCase:Any									=  []

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

					_lowerCAmelCase:List[str]									=  status['''runners''']
					for runner in runners:
										if runner["name"] in target_runners:
															if runner["status"] == "offline":
																				offline_runners.append(snake_case    )

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

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


if __name__ == "__main__":





				def 							UpperCAmelCase		(		snake_case			:					List[str]    ):
									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)












"""simple docstring"""






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


UpperCamelCase__						=			logging.get_logger(__name__)

UpperCamelCase__						=			{
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}




class   a__			(       UpperCamelCase_  ):
						snake_case__             = '''roc_bert'''





						def __init__(							self      :	Union[str, Any]     ,a__      :	Union[str, Any]=3_0522     ,a__      :	List[Any]=768     ,a__      :	Tuple=12     ,a__      :	Optional[int]=12     ,a__      :	Any=3072     ,a__      :	Optional[int]="gelu"     ,a__      :	Union[str, Any]=0.1     ,a__      :	List[str]=0.1     ,a__      :	Dict=512     ,a__      :	int=2     ,a__      :	Dict=0.02     ,a__      :	Dict=1E-12     ,a__      :	int=True     ,a__      :	Optional[int]=0     ,a__      :	Union[str, Any]="absolute"     ,a__      :	List[Any]=None     ,a__      :	str=True     ,a__      :	str=True     ,a__      :	List[str]=768     ,a__      :	Optional[int]=910     ,a__      :	Any=512     ,a__      :	str=2_4858     ,a__      :	List[str]=True     ,**a__      :	str     ,)						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:Tuple									=  vocab_size
											_lowerCAmelCase:Any									=  max_position_embeddings
											_lowerCAmelCase:Union[str, Any]									=  hidden_size
											_lowerCAmelCase:Optional[Any]									=  num_hidden_layers
											_lowerCAmelCase:int									=  num_attention_heads
											_lowerCAmelCase:int									=  intermediate_size
											_lowerCAmelCase:Union[str, Any]									=  hidden_act
											_lowerCAmelCase:Any									=  hidden_dropout_prob
											_lowerCAmelCase:List[Any]									=  attention_probs_dropout_prob
											_lowerCAmelCase:List[Any]									=  initializer_range
											_lowerCAmelCase:Dict									=  type_vocab_size
											_lowerCAmelCase:Dict									=  layer_norm_eps
											_lowerCAmelCase:str									=  use_cache
											_lowerCAmelCase:Any									=  enable_pronunciation
											_lowerCAmelCase:List[str]									=  enable_shape
											_lowerCAmelCase:Optional[int]									=  pronunciation_embed_dim
											_lowerCAmelCase:Union[str, Any]									=  pronunciation_vocab_size
											_lowerCAmelCase:str									=  shape_embed_dim
											_lowerCAmelCase:List[Any]									=  shape_vocab_size
											_lowerCAmelCase:str									=  concat_input
											_lowerCAmelCase:Optional[int]									=  position_embedding_type
											_lowerCAmelCase:Any									=  classifier_dropout
											super().__init__(pad_token_id=a__     ,**a__)






