





"""simple docstring"""




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


A   : Union[str, Any]			=				logging.get_logger(__name__)

A   : Optional[int]			=				{
    '''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
    '''studio-ousia/luke-large''': '''https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json''',
}


class   A      (__lowerCamelCase   ):
			'''simple docstring'''




			__lowerCamelCase     :	Tuple          =   'luke'






			def __init__(      self       :   Any							,     __lowerCAmelCase       :   Optional[int]=5_02_67							,     __lowerCAmelCase       :   List[str]=50_00_00							,     __lowerCAmelCase       :   List[Any]=7_68							,     __lowerCAmelCase       :   List[Any]=2_56							,     __lowerCAmelCase       :   str=12							,     __lowerCAmelCase       :   List[Any]=12							,     __lowerCAmelCase       :   Dict=30_72							,     __lowerCAmelCase       :   Any="gelu"							,     __lowerCAmelCase       :   Dict=0.1							,     __lowerCAmelCase       :   List[str]=0.1							,     __lowerCAmelCase       :   int=5_12							,     __lowerCAmelCase       :   str=2							,     __lowerCAmelCase       :   Optional[int]=0.0_2							,     __lowerCAmelCase       :   Dict=1e-12							,     __lowerCAmelCase       :   List[Any]=True							,     __lowerCAmelCase       :   Dict=None							,     __lowerCAmelCase       :   List[str]=1							,     __lowerCAmelCase       :   Tuple=0							,     __lowerCAmelCase       :   Optional[Any]=2							,     **__lowerCAmelCase       :   Optional[Any]							,     )     ->     Any:







					"""simple docstring"""






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

					A__  				=       vocab_size
					A__  				=       entity_vocab_size
					A__  				=       hidden_size
					A__  				=       entity_emb_size
					A__  				=       num_hidden_layers
					A__  				=       num_attention_heads
					A__  				=       hidden_act
					A__  				=       intermediate_size
					A__  				=       hidden_dropout_prob
					A__  				=       attention_probs_dropout_prob
					A__  				=       max_position_embeddings
					A__  				=       type_vocab_size
					A__  				=       initializer_range
					A__  				=       layer_norm_eps
					A__  				=       use_entity_aware_attention
					A__  				=       classifier_dropout










import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests







def        __lowerCamelCase (							__a       :str   )		->    Optional[int]:






		"""simple docstring"""

		A__  				=       {}

		A__  				=       job["""started_at"""]
		A__  				=       job["""completed_at"""]

		A__  				=       date_parser.parse(__a   )
		A__  				=       date_parser.parse(__a   )

		A__  				=       round((end_datetime - start_datetime).total_seconds() / 60.0   )

		A__  				=       start
		A__  				=       end
		A__  				=       duration_in_min

		return job_info







def        __lowerCamelCase (							__a       :Optional[Any]   ,					__a       :List[str]=None   )		->    List[Any]:






		"""simple docstring"""

		A__  				=       None
		if token is not None:
				A__  				=       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'Bearer {token}'}

		A__  				=       F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
		A__  				=       requests.get(__a   ,					headers=__a   ).json()
		A__  				=       {}

		try:
				job_time.update({job["""name"""]: extract_time_from_single_job(__a   ) for job in result["""jobs"""]}   )
				A__  				=       math.ceil((result["""total_count"""] - 1_0_0) / 1_0_0   )

				for i in range(__a   ):
						A__  				=       requests.get(url + F'&page={i + 2}'   ,					headers=__a   ).json()
						job_time.update({job["""name"""]: extract_time_from_single_job(__a   ) for job in result["""jobs"""]}   )

				return job_time
		except Exception:
				print(F'Unknown error, could not fetch links:\n{traceback.format_exc()}'   )

		return {}


if __name__ == "__main__":
					A   : Optional[Any]			=				argparse.ArgumentParser()
					# Required parameters
					parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
					A   : Dict			=				parser.parse_args()

					A   : List[Any]			=				get_job_time(args.workflow_run_id)
					A   : int			=				dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

					for k, v in job_time.items():
										print(F'''{k}: {v["duration"]}''')



