

'''simple docstring'''

import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests




def       UpperCamelCase(     UpperCAmelCase_	):
 UpperCAmelCase       :	Tuple											= {}

 UpperCAmelCase       :	int											= job['started_at']
 UpperCAmelCase       :	int											= job['completed_at']

 UpperCAmelCase       :	str											= date_parser.parse(UpperCamelCase_	)
 UpperCAmelCase       :	Dict											= date_parser.parse(UpperCamelCase_	)

 UpperCAmelCase       :	Union[str, Any]											= round((end_datetime - start_datetime).total_seconds() / 60.0	)

 UpperCAmelCase       :	Optional[Any]											= start
 UpperCAmelCase       :	List[Any]											= end
 UpperCAmelCase       :	Any											= duration_in_min

 return job_info




def       UpperCamelCase(     UpperCAmelCase_  ,       UpperCAmelCase_=None	):
 UpperCAmelCase       :	List[str]											= None
 if token is not None:
  UpperCAmelCase       :	Dict											= {'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

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

 try:
  job_time.update({job['name']: extract_time_from_single_job(UpperCamelCase_	) for job in result['jobs']}	)
  UpperCAmelCase       :	Dict											= math.ceil((result['total_count'] - 1_00) / 1_00	)

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

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






import random






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_		)		->		tuple:
					'''simple docstring'''


					SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= [], [], []
					for element in data:
										if element < pivot:
															less.append(UpperCamelCase_		)
										elif element > pivot:
															greater.append(UpperCamelCase_		)
										else:
															equal.append(UpperCamelCase_		)
					return less, equal, greater






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_		)		->		Any:
					'''simple docstring'''


					if index >= len(UpperCamelCase_		) or index < 0:
										return None

					SCREAMING_SNAKE_CASE__													= items[random.randint(0	,	len(UpperCamelCase_		) - 1		)]
					SCREAMING_SNAKE_CASE__													= 0
					SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= _partition(UpperCamelCase_	,	UpperCamelCase_		)
					SCREAMING_SNAKE_CASE__													= len(UpperCamelCase_		)
					SCREAMING_SNAKE_CASE__													= len(UpperCamelCase_		)

					# index is the pivot
					if m <= index < m + count:
										return pivot
					# must be in smaller
					elif m > index:
										return quick_select(UpperCamelCase_	,	UpperCamelCase_		)
					# must be in larger
					else:
										return quick_select(UpperCamelCase_	,	index - (m + count)		)





