





import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests


def 							SCREAMING_SNAKE_CASE__  (			__a      ):
	snake_case_						:	List[str]      =		{}

	snake_case_						:	Optional[Any]      =		job['''started_at''']
	snake_case_						:	List[str]      =		job['''completed_at''']

	snake_case_						:	List[str]      =		date_parser.parse(lowercase__      )
	snake_case_						:	Optional[int]      =		date_parser.parse(lowercase__      )

	snake_case_						:	Optional[int]      =		round((end_datetime - start_datetime).total_seconds() / 60.0      )

	snake_case_						:	Any      =		start
	snake_case_						:	Optional[int]      =		end
	snake_case_						:	Dict      =		duration_in_min

	return job_info


def 							SCREAMING_SNAKE_CASE__  (			__a      ,       __a=None      ):
	snake_case_						:	Optional[Any]      =		None
	if token is not None:
		snake_case_						:	Optional[int]      =		{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

	snake_case_						:	int      =		f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
	snake_case_						:	int      =		requests.get(lowercase__      ,       headers=lowercase__      ).json()
	snake_case_						:	Optional[Any]      =		{}

	try:
		job_time.update({job['name']: extract_time_from_single_job(lowercase__      ) for job in result['jobs']}      )
		snake_case_						:	Optional[int]      =		math.ceil((result['total_count'] - 1_00) / 1_00      )

		for i in range(lowercase__      ):
			snake_case_						:	Optional[int]      =		requests.get(url + f"""&page={i + 2}"""      ,       headers=lowercase__      ).json()
			job_time.update({job['name']: extract_time_from_single_job(lowercase__      ) 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__":
						_SCREAMING_SNAKE_CASE							=						argparse.ArgumentParser()
						# Required parameters
						parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
						_SCREAMING_SNAKE_CASE							=						parser.parse_args()

						_SCREAMING_SNAKE_CASE							=						get_job_time(args.workflow_run_id)
						_SCREAMING_SNAKE_CASE							=						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']}''')





from ..utils import DummyObject, requires_backends
class        _lowercase      (			metaclass=A__       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Optional[int]						=		['''keras_nlp''']


				def __init__(       self			:Tuple			,			*lowerCAmelCase__			:Optional[Any]			,			**lowerCAmelCase__			:Dict	)		->			Dict:
										requires_backends(self			,			['''keras_nlp''']	)
