






import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests
def 		_a       ( a					:int					)				->     Optional[Any]:
 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 		_a       ( a					:Dict      ,				a					:int=None					)				->     Union[str, Any]:
 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'''] - 100) / 100					)

  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__":
     UpperCAmelCase__							  =						argparse.ArgumentParser()
     # Required parameters
     parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
     UpperCAmelCase__							  =						parser.parse_args()

     UpperCAmelCase__							  =						get_job_time(args.workflow_run_id)
     UpperCAmelCase__							  =						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']}""")









def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case						,   snake_case							)		->    int:
		# Return True if there is node that has not iterated.
		__lowercase											=     [False] * len(snake_case							)
		__lowercase											=     []
		queue.append(snake_case							)
		__lowercase											=     True

		while queue:
				__lowercase											=     queue.pop(0							)
				for ind in range(len(graph[u]							)							):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(snake_case							)
								__lowercase											=     True
								__lowercase											=     u

		return visited[t]



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    Dict:
		# This array is filled by BFS and to store path
		__lowercase											=     [-1] * (len(snake_case							))
		__lowercase											=     0
		while bfs(snake_case						,   snake_case						,   snake_case						,   snake_case							):
				__lowercase											=     float('Inf'							)
				__lowercase											=     sink

				while s != source:
						# Find the minimum value in select path
						__lowercase											=     min(snake_case						,   graph[parent[s]][s]							)
						__lowercase											=     parent[s]

				max_flow += path_flow
				__lowercase											=     sink

				while v != source:
						__lowercase											=     parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						__lowercase											=     parent[v]
		return max_flow


SCREAMING_SNAKE_CASE_   :      Any			=   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_   :      Optional[Any]			=   0, 5


print(ford_fulkerson(graph, source, sink))




