


'''simple docstring'''

from __future__ import annotations

from statistics import mean

def _SCREAMING_SNAKE_CASE      (A  , A  , A       )       ->       list[int]:






       """simple docstring"""







       lowercase__      			= [0] * no_of_processes
       lowercase__      			= [0] * no_of_processes

       # Initialize remaining_time to waiting_time.

       for i in range(A       ):
              lowercase__      			= burst_time[i]
       lowercase__      			= []

       lowercase__      			= 0
       lowercase__      			= 0

       # When processes are not completed,
       # A process whose arrival time has passed \
       # and has remaining execution time is put into the ready_process.
       # The shortest process in the ready_process, target_process is executed.

       while completed != no_of_processes:
              lowercase__      			= []
              lowercase__      			= -1

              for i in range(A       ):
                     if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
                            ready_process.append(A       )

              if len(A       ) > 0:
                     lowercase__      			= ready_process[0]
                     for i in ready_process:
                            if remaining_time[i] < remaining_time[target_process]:
                                   lowercase__      			= i
                     total_time += burst_time[target_process]
                     completed += 1
                     lowercase__      			= 0
                     lowercase__      			= (
                         total_time - arrival_time[target_process] - burst_time[target_process]
                     )
              else:
                     total_time += 1

       return waiting_time

def _SCREAMING_SNAKE_CASE      (A  , A  , A       )       ->       list[int]:






       """simple docstring"""







       lowercase__      			= [0] * no_of_processes
       for i in range(A       ):
              lowercase__      			= burst_time[i] + waiting_time[i]
       return turn_around_time


if __name__ == "__main__":
 print('[TEST CASE 01]')

 lowerCamelCase							:   Union[str, Any]  						=	4
 lowerCamelCase							:   Optional[Any]  						=	[2, 5, 3, 7]
 lowerCamelCase							:   str  						=	[0, 0, 0, 0]
 lowerCamelCase							:   Any  						=	calculate_waitingtime(arrival_time, burst_time, no_of_processes)
 lowerCamelCase							:   Optional[int]  						=	calculate_turnaroundtime(
     burst_time, no_of_processes, waiting_time
 )

 # Printing the Result
 print('PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time')
 for i, process_id in enumerate(list(range(1, 5))):
  print(
      f"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
      f"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
  )
 print(f"""\nAverage waiting time = {mean(waiting_time):.5f}""")
 print(f"""Average turnaround time = {mean(turn_around_time):.5f}""")











'''simple docstring'''




import os
from datetime import datetime as dt

from github import Github


__SCREAMING_SNAKE_CASE     :str       =				[
    '''good first issue''',
    '''feature request''',
    '''wip''',
]
def 	UpperCAmelCase_							(					)		->       Optional[Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   Github(os.environ["GITHUB_TOKEN"]       )
     _UpperCAmelCase     							=   g.get_repo("huggingface/accelerate"       )
     _UpperCAmelCase     							=   repo.get_issues(state="open"       )

     for issue in open_issues:
          _UpperCAmelCase     							=   sorted([comment for comment in issue.get_comments()]			,     key=lambda __lowercase       : i.created_at			,     reverse=__lowercase       )
          _UpperCAmelCase     							=   comments[0] if len(__lowercase       ) > 0 else None
          _UpperCAmelCase     							=   dt.utcnow()
          _UpperCAmelCase     							=   (current_time - issue.updated_at).days
          _UpperCAmelCase     							=   (current_time - issue.created_at).days
          if (
              last_comment is not None
              and last_comment.user.login == "github-actions[bot]"
              and days_since_updated > 7
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Close issue since it has been 7 days of inactivity since bot mention.
               issue.edit(state="closed"       )
          elif (
              days_since_updated > 23
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Add stale comment
               issue.create_comment(
                   "This issue has been automatically marked as stale because it has not had "
                   "recent activity. If you think this still needs to be addressed "
                   "please comment on this thread.\n\nPlease note that issues that do not follow the "
                   "[contributing guidelines](https://github.com/huggingface/accelerate/blob/main/CONTRIBUTING.md) "
                   "are likely to be ignored."       )


if __name__ == "__main__":
  main()




