






"""simple docstring"""







import argparse
import json
import subprocess






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       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(lowerCAmelCase	,      shell=lowerCAmelCase	,      stdout=subprocess.PIPE		)
       UpperCAmelCase	    =			output.stdout.decode("""utf-8"""		)
       UpperCAmelCase	    =			json.loads(lowerCAmelCase		)

       UpperCAmelCase	    =			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:
              UpperCAmelCase	    =			"""\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		):







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

 lowerCAmelCase_	:    str            =      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.'''
 )
 lowerCAmelCase_	:    str            =      parser.parse_args()





 get_runner_status(args.target_runners, args.token)








"""simple docstring"""







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


lowerCAmelCase_	:    Any            =      logging.get_logger(__name__)

lowerCAmelCase_	:    Any            =      {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}





class   UpperCamelCase_ (       a_  ):
  _A       :					Tuple				=	'canine'



  def __init__(      self ,		snake_case__=7_68 ,		snake_case__=12 ,		snake_case__=12 ,		snake_case__=30_72 ,		snake_case__="gelu" ,		snake_case__=0.1 ,		snake_case__=0.1 ,		snake_case__=1_63_84 ,		snake_case__=16 ,		snake_case__=0.02 ,		snake_case__=1e-12 ,		snake_case__=0 ,		snake_case__=0xE_0_0_0 ,		snake_case__=0xE_0_0_1 ,		snake_case__=4 ,		snake_case__=4 ,		snake_case__=8 ,		snake_case__=1_63_84 ,		snake_case__=1_28 ,		**snake_case__ ,		)			->			int:



         """simple docstring"""





         super().__init__(pad_token_id=snake_case__ ,		bos_token_id=snake_case__ ,		eos_token_id=snake_case__ ,		**snake_case__				)

         UpperCAmelCase	    =			max_position_embeddings
         UpperCAmelCase	    =			hidden_size
         UpperCAmelCase	    =			num_hidden_layers
         UpperCAmelCase	    =			num_attention_heads
         UpperCAmelCase	    =			intermediate_size
         UpperCAmelCase	    =			hidden_act
         UpperCAmelCase	    =			hidden_dropout_prob
         UpperCAmelCase	    =			attention_probs_dropout_prob
         UpperCAmelCase	    =			initializer_range
         UpperCAmelCase	    =			type_vocab_size
         UpperCAmelCase	    =			layer_norm_eps

         # Character config:
         UpperCAmelCase	    =			downsampling_rate
         UpperCAmelCase	    =			upsampling_kernel_size
         UpperCAmelCase	    =			num_hash_functions
         UpperCAmelCase	    =			num_hash_buckets
         UpperCAmelCase	    =			local_transformer_stride
