





import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def  SCREAMING_SNAKE_CASE				(      snake_case							)		->    Optional[Any]:
		__lowercase											=     {}

		__lowercase											=     job['started_at']
		__lowercase											=     job['completed_at']

		__lowercase											=     date_parser.parse(snake_case							)
		__lowercase											=     date_parser.parse(snake_case							)

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

		__lowercase											=     start
		__lowercase											=     end
		__lowercase											=     duration_in_min

		return job_info



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case=None							)		->    Union[str, Any]:
		__lowercase											=     None
		if token is not None:
				__lowercase											=     {'Accept': 'application/vnd.github+json', 'Authorization': F"Bearer {token}"}

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

		try:
				job_time.update({job['name']: extract_time_from_single_job(snake_case							) for job in result['jobs']}							)
				__lowercase											=     math.ceil((result['total_count'] - 100) / 100							)

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

		SCREAMING_SNAKE_CASE_   :      Optional[int]			=   get_job_time(args.workflow_run_id)
		SCREAMING_SNAKE_CASE_   :      List[Any]			=   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							)		->    int:

		def count_of_possible_combinations(snake_case							) -> int:
				if target < 0:
						return 0
				if target == 0:
						return 1
				return sum(count_of_possible_combinations(target - item							) for item in array							)

		return count_of_possible_combinations(snake_case							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    int:

		def count_of_possible_combinations_with_dp_array(
		    snake_case						,   snake_case							) -> int:
				if target < 0:
						return 0
				if target == 0:
						return 1
				if dp_array[target] != -1:
						return dp_array[target]
				__lowercase											=     sum(
				    count_of_possible_combinations_with_dp_array(target - item						,   snake_case							)
				    for item in array							)
				__lowercase											=     answer
				return answer

		__lowercase											=     [-1] * (target + 1)
		return count_of_possible_combinations_with_dp_array(snake_case						,   snake_case							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    int:
		__lowercase											=     [0] * (target + 1)
		__lowercase											=     1

		for i in range(1						,   target + 1							):
				for j in range(snake_case							):
						if i - array[j] >= 0:
								dp_array[i] += dp_array[i - array[j]]

		return dp_array[target]


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		SCREAMING_SNAKE_CASE_   :      Tuple			=   3
		SCREAMING_SNAKE_CASE_   :      Dict			=   5
		SCREAMING_SNAKE_CASE_   :      Any			=   [1, 2, 5]
		print(combination_sum_iv(n, array, target))




