





from statistics import mean

import numpy as np





def 	lowerCAmelCase_					(			__a      ,       __a      ,       __a      ,       __a						)	->						list:







  """simple docstring"""





  lowerCamelCase__: Tuple         =0
  # Number of processes finished
  lowerCamelCase__: Tuple         =0
  # Displays the finished process.
  # If it is 0, the performance is completed if it is 1, before the performance.
  lowerCamelCase__: Optional[Any]         =[0] * no_of_process
  # List to include calculation results
  lowerCamelCase__: List[Any]         =[0] * no_of_process

  # Sort by arrival time.
  lowerCamelCase__: Union[str, Any]         =[burst_time[i] for i in np.argsort(__UpperCAmelCase						)]
  lowerCamelCase__: Optional[int]         =[process_name[i] for i in np.argsort(__UpperCAmelCase						)]
  arrival_time.sort()

  while no_of_process > finished_process_count:
    lowerCamelCase__: List[Any]         =0
    while finished_process[i] == 1:
      i += 1
    if current_time < arrival_time[i]:
      lowerCamelCase__: Tuple         =arrival_time[i]

    lowerCamelCase__: List[Any]         =0
    # Index showing the location of the process being performed
    lowerCamelCase__: int         =0
    # Saves the current response ratio.
    lowerCamelCase__: Tuple         =0
    for i in range(0      ,       __UpperCAmelCase						):
      if finished_process[i] == 0 and arrival_time[i] <= current_time:
        lowerCamelCase__: List[Any]         =(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
            i
        ]
      if response_ratio < temp:
        lowerCamelCase__: str         =temp
        lowerCamelCase__: Optional[Any]         =i

        # Calculate the turn around time
    lowerCamelCase__: Any         =current_time + burst_time[loc] - arrival_time[loc]
    current_time += burst_time[loc]
    # Indicates that the process has been performed.
    lowerCamelCase__: int         =1
    # Increase finished_process_count by 1
    finished_process_count += 1

  return turn_around_time





def 	lowerCAmelCase_					(			__a      ,       __a      ,       __a      ,       __a						)	->						list:







  """simple docstring"""





  lowerCamelCase__: int         =[0] * no_of_process
  for i in range(0      ,       __UpperCAmelCase						):
    lowerCamelCase__: int         =turn_around_time[i] - burst_time[i]
  return waiting_time


if __name__ == "__main__":
     __A							   =							5
     __A							   =							["A", "B", "C", "D", "E"]
     __A							   =							[1, 2, 3, 4, 5]
     __A							   =							[1, 2, 3, 4, 5]

     __A							   =							calculate_turn_around_time(
         process_name, arrival_time, burst_time, no_of_process
     )
     __A							   =							calculate_waiting_time(
         process_name, turn_around_time, burst_time, no_of_process
     )

     print("Process name \tArrival time \tBurst time \tTurn around time \tWaiting time")
     for i in range(0, no_of_process):
          print(
              f'{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'
              f'{turn_around_time[i]}\t\t\t{waiting_time[i]}'
          )

     print(f'average waiting time : {mean(waiting_time):.5f}')
     print(f'average turn around time : {mean(turn_around_time):.5f}')






'''simple docstring'''

from __future__ import annotations







def a_     (    __UpperCAmelCase					)				->					list[int]:





			"""simple docstring"""







			snake_case:    Tuple      							=[True] * limit
			snake_case:    Optional[int]      							=False
			snake_case:    Union[str, Any]      							=False
			snake_case:    List[Any]      							=True

			for i in range(3				,							int(limit**0.5 + 1					)				,							2					):
						snake_case:    str      							=i * 2
						while index < limit:
									snake_case:    List[Any]      							=False
									snake_case:    List[str]      							=index + i

			snake_case:    Union[str, Any]      							=[2]

			for i in range(3				,							__UpperCAmelCase				,							2					):
						if is_prime[i]:
									primes.append(__UpperCAmelCase					)

			return primes







def a_     (    __UpperCAmelCase = 1_00_00_00					)				->					int:





			"""simple docstring"""







			snake_case:    str      							=prime_sieve(__UpperCAmelCase					)
			snake_case:    str      							=0
			snake_case:    str      							=0

			for i in range(len(__UpperCAmelCase					)					):
						for j in range(i + length				,							len(__UpperCAmelCase					)					):
									snake_case:    Tuple      							=sum(primes[i:j]					)
									if sol >= ceiling:
												break

									if sol in primes:
												snake_case:    List[str]      							=j - i
												snake_case:    Optional[int]      							=sol

			return largest


if __name__ == "__main__":
	print(F"""{solution() = }""")




