


import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests
def 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		lowercase__            =      {}

		lowercase__            =      job['''started_at''']
		lowercase__            =      job['''completed_at''']

		lowercase__            =      date_parser.parse(SCREAMING_SNAKE_CASE     )
		lowercase__            =      date_parser.parse(SCREAMING_SNAKE_CASE     )

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

		lowercase__            =      start
		lowercase__            =      end
		lowercase__            =      duration_in_min

		return job_info
def 			_a (      SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE=None     ):


		"""simple docstring"""




		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(SCREAMING_SNAKE_CASE						,				headers=SCREAMING_SNAKE_CASE     ).json()
		lowercase__            =      {}

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

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

			lowerCAmelCase       =							get_job_time(args.workflow_run_id)
			lowerCAmelCase       =							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"]}""")



'''simple docstring'''




def 	UpperCamelCase_							(					_UpperCAmelCase  :      str			,	_UpperCAmelCase  :      str    )    ->    float:


       """simple docstring"""







       def get_matched_characters(_UpperCAmelCase  :      str			,	_UpperCAmelCase  :      str    ) -> str:
              _UpperCAmelCase     :  Tuple							      =    []
              _UpperCAmelCase     :  Dict							      =    min(len(_stra    )			,	len(_stra    )    ) // 2
              for i, l in enumerate(_stra    ):
                     _UpperCAmelCase     :  int							      =    int(max(0			,	i - limit    )    )
                     _UpperCAmelCase     :  Any							      =    int(min(i + limit + 1			,	len(_stra    )    )    )
                     if l in _stra[left:right]:
                            matched.append(_UpperCAmelCase    )
                            _UpperCAmelCase     :  List[Any]							      =    F"""{_stra[0:_stra.index(_UpperCAmelCase    )]} {_stra[_stra.index(_UpperCAmelCase    ) + 1:]}"""

              return "".join(_UpperCAmelCase    )

       # matching characters
       _UpperCAmelCase     :  Union[str, Any]							      =    get_matched_characters(_UpperCAmelCase			,	_UpperCAmelCase    )
       _UpperCAmelCase     :  Tuple							      =    get_matched_characters(_UpperCAmelCase			,	_UpperCAmelCase    )
       _UpperCAmelCase     :  Tuple							      =    len(_UpperCAmelCase    )

       # transposition
       _UpperCAmelCase     :  Optional[Any]							      =    (
           len([(ca, ca) for ca, ca in zip(_UpperCAmelCase			,	_UpperCAmelCase    ) if ca != ca]    ) // 2
       )

       if not match_count:
              _UpperCAmelCase     :  Dict							      =    0.0
       else:
              _UpperCAmelCase     :  Optional[int]							      =    (
                  1
                  / 3
                  * (
                      match_count / len(_UpperCAmelCase    )
                      + match_count / len(_UpperCAmelCase    )
                      + (match_count - transpositions) / match_count
                  )
              )

       # common prefix up to 4 characters
       _UpperCAmelCase     :  str							      =    0
       for ca, ca in zip(stra[:4]			,	stra[:4]    ):
              if ca == ca:
                     prefix_len += 1
              else:
                     break

       return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(jaro_winkler("""hello""", """world"""))

