'''simple docstring'''





import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def      lowerCAmelCase_    ( snake_case_	:			int      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       {}

     UpperCAmelCase_	   =       job["started_at"]
     UpperCAmelCase_	   =       job["completed_at"]

     UpperCAmelCase_	   =       date_parser.parse(snake_case_      )
     UpperCAmelCase_	   =       date_parser.parse(snake_case_      )

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

     UpperCAmelCase_	   =       start
     UpperCAmelCase_	   =       end
     UpperCAmelCase_	   =       duration_in_min

     return job_info





def      lowerCAmelCase_    ( snake_case_	:			Tuple ,   snake_case_	:			Any=None      )   ->				List[str]:


     '''simple docstring'''




     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(snake_case_ ,   headers=snake_case_      ).json()
     UpperCAmelCase_	   =       {}

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

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

    SCREAMING_SNAKE_CASE_:					Tuple					=get_job_time(args.workflow_run_id)
    SCREAMING_SNAKE_CASE_:					Optional[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']}")





'''simple docstring'''





from random import randint
from tempfile import TemporaryFile

import numpy as np





def      lowerCAmelCase_    ( snake_case_	:			int ,   snake_case_	:			Any ,   snake_case_	:			int      )   ->				Optional[Any]:


     '''simple docstring'''




     UpperCAmelCase_	   =       0
     if start < end:
          UpperCAmelCase_	   =       randint(snake_case_ ,   snake_case_      )
          UpperCAmelCase_	   =       a[end]
          UpperCAmelCase_	   =       a[pivot]
          UpperCAmelCase_	   =       temp

          UpperCAmelCase_   ,			UpperCAmelCase_	   =       _in_place_partition(snake_case_ ,   snake_case_ ,   snake_case_      )
          count += _in_place_quick_sort(snake_case_ ,   snake_case_ ,   p - 1      )
          count += _in_place_quick_sort(snake_case_ ,   p + 1 ,   snake_case_      )
     return count





def      lowerCAmelCase_    ( snake_case_	:			List[Any] ,   snake_case_	:			Dict ,   snake_case_	:			List[str]      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       0
     UpperCAmelCase_	   =       randint(snake_case_ ,   snake_case_      )
     UpperCAmelCase_	   =       a[end]
     UpperCAmelCase_	   =       a[pivot]
     UpperCAmelCase_	   =       temp
     UpperCAmelCase_	   =       start - 1
     for index in range(snake_case_ ,   snake_case_      ):
          count += 1
          if a[index] < a[end]:  # check if current val is less than pivot value
               UpperCAmelCase_	   =       new_pivot_index + 1
               UpperCAmelCase_	   =       a[new_pivot_index]
               UpperCAmelCase_	   =       a[index]
               UpperCAmelCase_	   =       temp

     UpperCAmelCase_	   =       a[new_pivot_index + 1]
     UpperCAmelCase_	   =       a[end]
     UpperCAmelCase_	   =       temp
     return new_pivot_index + 1, count


SCREAMING_SNAKE_CASE_:					List[str]  =TemporaryFile()
SCREAMING_SNAKE_CASE_:					int  =1_00  # 1000 elements are to be sorted


SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_:					str  =0, 1  # mean and standard deviation
SCREAMING_SNAKE_CASE_:					List[str]  =np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('The array is')
print(X)


outfile.seek(0)  # using the same array
SCREAMING_SNAKE_CASE_:					str  =np.load(outfile)
SCREAMING_SNAKE_CASE_:					List[Any]  =len(M) - 1
SCREAMING_SNAKE_CASE_:					Dict  =_in_place_quick_sort(M, 0, r)

print(
    'No of Comparisons for 100 elements selected from a standard normal distribution'
    'is :'
)






print(z)




