
'''simple docstring'''


import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def  __snake_case     (    _UpperCAmelCase					:       List[Any]):
   UpperCamelCase       =  {}

   UpperCamelCase       =  job['''started_at''']
   UpperCamelCase       =  job['''completed_at''']

   UpperCamelCase       =  date_parser.parse(_UpperCAmelCase)
   UpperCamelCase       =  date_parser.parse(_UpperCAmelCase)

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

   UpperCamelCase       =  start
   UpperCamelCase       =  end
   UpperCamelCase       =  duration_in_min

   return job_info



def  __snake_case     (    _UpperCAmelCase					:       Any,      _UpperCAmelCase					:       str=None):
   UpperCamelCase       =  None
   if token is not None:
      UpperCamelCase       =  {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

   UpperCamelCase       =  f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
   UpperCamelCase       =  requests.get(_UpperCAmelCase,      headers=_UpperCAmelCase).json()
   UpperCamelCase       =  {}

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

      for i in range(_UpperCAmelCase):
         UpperCamelCase       =  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__":
      snake_case_ :  List[Any]     =					argparse.ArgumentParser()
      # Required parameters
      parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
      snake_case_ :  List[str]     =					parser.parse_args()

      snake_case_ :  int     =					get_job_time(args.workflow_run_id)
      snake_case_ :  int     =					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  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  []
   for data in source_data:
      for i, el in enumerate(_UpperCAmelCase):
         if len(_UpperCAmelCase) < i + 1:
            data_lists.append([])
         data_lists[i].append(float(_UpperCAmelCase))
   return data_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  []
   for dlist, weight in zip(_UpperCAmelCase,      _UpperCAmelCase):
      UpperCamelCase       =  min(_UpperCAmelCase)
      UpperCamelCase       =  max(_UpperCAmelCase)

      UpperCamelCase       =  []
      # for weight 0 score is 1 - actual score
      if weight == 0:
         for item in dlist:
            try:
               score.append(1 - ((item - mind) / (maxd - mind)))
            except ZeroDivisionError:
               score.append(1)

      elif weight == 1:
         for item in dlist:
            try:
               score.append((item - mind) / (maxd - mind))
            except ZeroDivisionError:
               score.append(0)

        # weight not 0 or 1
      else:
         UpperCamelCase       =  f'Invalid weight of {weight:f} provided'
         raise ValueError(_UpperCAmelCase)

      score_lists.append(_UpperCAmelCase)

   return score_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  [0 for i in range(len(score_lists[0]))]

   for slist in score_lists:
      for j, ele in enumerate(_UpperCAmelCase):
         UpperCamelCase       =  final_scores[j] + ele

   return final_scores



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  get_data(_UpperCAmelCase)
   UpperCamelCase       =  calculate_each_score(_UpperCAmelCase,      _UpperCAmelCase)
   UpperCamelCase       =  generate_final_scores(_UpperCAmelCase)

   # append scores to source data
   for i, ele in enumerate(_UpperCAmelCase):
      source_data[i].append(_UpperCAmelCase)

   return source_data





