




from statistics import mean

import numpy as np







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)   ->       list:



       """simple docstring"""

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

       # Sort by arrival time.
       A__       =    [burst_time[i] for i in np.argsort(lowercase_						)]
       A__       =    [process_name[i] for i in np.argsort(lowercase_						)]
       arrival_time.sort()

       while no_of_process > finished_process_count:
              A__       =    0
              while finished_process[i] == 1:
                     i += 1
              if current_time < arrival_time[i]:
                     A__       =    arrival_time[i]

              A__       =    0
              # Index showing the location of the process being performed
              A__       =    0
              # Saves the current response ratio.
              A__       =    0
              for i in range(0 ,				lowercase_						):
                     if finished_process[i] == 0 and arrival_time[i] <= current_time:
                            A__       =    (burst_time[i] + (current_time - arrival_time[i])) / burst_time[
                                i
                            ]
                     if response_ratio < temp:
                            A__       =    temp
                            A__       =    i

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

       return turn_around_time







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)   ->       list:



       """simple docstring"""

       A__       =    [0] * no_of_process
       for i in range(0 ,				lowercase_						):
              A__       =    turn_around_time[i] - burst_time[i]
       return waiting_time


if __name__ == "__main__":
  _lowerCamelCase	:		List[Any]							       =   5
  _lowerCamelCase	:		Any							       =   ["""A""", """B""", """C""", """D""", """E"""]
  _lowerCamelCase	:		Optional[int]							       =   [1, 2, 3, 4, 5]
  _lowerCamelCase	:		Optional[int]							       =   [1, 2, 3, 4, 5]

  _lowerCamelCase	:		Union[str, Any]							       =   calculate_turn_around_time(
      process_name, arrival_time, burst_time, no_of_process
  )
  _lowerCamelCase	:		Tuple							       =   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__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     if len(a__						) == 0:
          raise ValueError("""find_max() arg is an empty sequence"""						)
     if (
         left >= len(a__						)
         or left < -len(a__						)
         or right >= len(a__						)
         or right < -len(a__						)
     ):
          raise IndexError("""list index out of range"""						)
     if left == right:
          return nums[left]
     __SCREAMING_SNAKE_CASE     =      (left + right) >> 1  # the middle
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    a__      ,    a__						)  # find max in range[left, mid]
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    mid + 1      ,    a__						)  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)






