

from statistics import mean

import numpy as np



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)							->     list:



  """simple docstring"""






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

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

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

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

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

  return turn_around_time



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)							->     list:



  """simple docstring"""






  _snake_case						=							[0] * no_of_process
  for i in range(0			,	_UpperCamelCase					):
    _snake_case						=							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}''')




from ..utils import DummyObject, requires_backends



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[int]										=    ["speech"]



      def __init__(      self				:    str      , *A__				:    List[str]      , **A__				:    Tuple		)   ->					Optional[Any]:
        requires_backends(self      , ['''speech''']		)



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[Any]										=    ["speech"]



      def __init__(      self				:    Dict      , *A__				:    int      , **A__				:    int		)   ->					Tuple:
        requires_backends(self      , ['''speech''']		)

