






from statistics import mean

import numpy as np
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase       ,							_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

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

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

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

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

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

      return turn_around_time
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase       ,							_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

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


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

       __magic_name__   :  Any        =							calculate_turn_around_time(
           process_name, arrival_time, burst_time, no_of_process
       )
       __magic_name__   :  Dict        =							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}')











from collections.abc import Sequence
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			float:
      """simple docstring"""

      return sum(c * (x**i) for i, c in enumerate(_UpperCamelCase))
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			float:
      """simple docstring"""

      UpperCamelCase					       =  0.0
      for coeff in reversed(_UpperCamelCase):
            UpperCamelCase					       =  result * x + coeff
      return result


if __name__ == "__main__":
       __magic_name__   :  Union[str, Any]        =							(0.0, 0.0, 5.0, 9.3, 7.0)
       __magic_name__   :  List[str]        =							10.0
       print(evaluate_poly(poly, x))
       print(horner(poly, x))



