
'''simple docstring'''





def   A			(							A_				:       list     ,				A_				:       int     ,				A_				:       int							):
						if right <= left:
												return
						snake_case							:  str			=     left
						snake_case							:  Tuple			=     right
						snake_case							:  Optional[Any]			=     sorting[left]
						while i <= b:
												if sorting[i] < pivot:
																		snake_case,       snake_case							:  Optional[Any]			=     sorting[i], sorting[a]
																		a += 1
																		i += 1
												elif sorting[i] > pivot:
																		snake_case,       snake_case							:  Optional[Any]			=     sorting[i], sorting[b]
																		b -= 1
												else:
																		i += 1
						quick_sort_apartition(A_     ,				A_     ,				a - 1							)
						quick_sort_apartition(A_     ,				b + 1     ,				A_							)

def   A			(							A_				:       list     ,				A_				:       int     ,				A_				:       int							):
						if left < right:
												snake_case							:  List[Any]			=     lomuto_partition(A_     ,				A_     ,				A_							)
												quick_sort_lomuto_partition(A_     ,				A_     ,				pivot_index - 1							)
												quick_sort_lomuto_partition(A_     ,				pivot_index + 1     ,				A_							)

def   A			(							A_				:       list     ,				A_				:       int     ,				A_				:       int							):
						snake_case							:  str			=     sorting[right]
						snake_case							:  int			=     left
						for i in range(A_     ,				A_							):
												if sorting[i] < pivot:
																		snake_case,       snake_case							:  List[Any]			=     sorting[i], sorting[store_index]
																		store_index += 1
						snake_case,       snake_case							:  Union[str, Any]			=     sorting[store_index], sorting[right]
						return store_index

def   A			(							A_				:       list							):
						if len(A_							) <= 1:
												return sorting
						return (
						    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]							)
						    + [i for i in sorting if i == sorting[0]]
						    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]							)
						)


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)

						UpperCAmelCase            = input("Enter numbers separated by a comma:\n").strip()
						UpperCAmelCase            = [int(item) for item in user_input.split(",")]
						quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
						print(unsorted)



"""simple docstring"""
from __future__ import annotations

from statistics import mean
def 					a__ ( a :					list[int]		):

  """simple docstring"""







  _snake_case  :    List[str]            = 2
  _snake_case  :    Union[str, Any]            = list(a		)
  _snake_case  :    Any            = [0] * len(a		)
  _snake_case  :    Any            = 0
  while True:
    _snake_case  :    str            = True
    for i, burst_time in enumerate(a		):
      if rem_burst_times[i] > 0:
        _snake_case  :    str            = False
        if rem_burst_times[i] > quantum:
          t += quantum
          rem_burst_times[i] -= quantum
        else:
          t += rem_burst_times[i]
          _snake_case  :    int            = t - burst_time
          _snake_case  :    Dict            = 0
    if done is True:
      return waiting_times
def 					a__ ( a :					list[int]							,  a :					list[int]		):

  """simple docstring"""







  return [burst + waiting for burst, waiting in zip(a							,  a		)]


if __name__ == "__main__":
    _a   :      Dict       =				[3, 5, 7]
    _a   :      Dict       =				calculate_waiting_times(burst_times)
    _a   :      Tuple       =				calculate_turn_around_times(burst_times, waiting_times)
    print("""Process ID \tBurst Time \tWaiting Time \tTurnaround Time""")
    for i, burst_time in enumerate(burst_times):
        print(
            f'  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  '
            f'{turn_around_times[i]}'
        )
    print(f'\nAverage waiting time = {mean(waiting_times):.5f}')
    print(f'Average turn around time = {mean(turn_around_times):.5f}')

