






'''simple docstring'''



from __future__ import annotations

import pandas as pd


def 							lowercase_				(    __A :       list[int]					,      __A :       list[int]					,      __A :       int			)       ->      list[int]:



 """simple docstring"""




 lowercase					:   Tuple				  =[0] * no_of_processes
 lowercase					:   Any				  =[0] * no_of_processes
 # Copy the burst time into remaining_time[]
 for i in range(__A			):
  lowercase					:   List[str]				  =burst_time[i]

 lowercase					:   Any				  =0
 lowercase					:   Optional[Any]				  =0
 lowercase					:   str				  =9_9_9_9_9_9_9_9_9
 lowercase					:   List[str]				  =0
 lowercase					:   Tuple				  =False

 # Process until all processes are completed
 while complete != no_of_processes:
  for j in range(__A			):
   if arrival_time[j] <= increment_time and remaining_time[j] > 0:
    if remaining_time[j] < minm:
     lowercase					:   Optional[Any]				  =remaining_time[j]
     lowercase					:   Optional[int]				  =j
     lowercase					:   Union[str, Any]				  =True

  if not check:
   increment_time += 1
   continue
  remaining_time[short] -= 1

  lowercase					:   Optional[int]				  =remaining_time[short]
  if minm == 0:
   lowercase					:   Optional[Any]				  =9_9_9_9_9_9_9_9_9

  if remaining_time[short] == 0:
   complete += 1
   lowercase					:   Optional[int]				  =False

   # Find finish time of current process
   lowercase					:   Dict				  =increment_time + 1

   # Calculate waiting time
   lowercase					:   Tuple				  =finish_time - arrival_time[short]
   lowercase					:   int				  =finar - burst_time[short]

   if waiting_time[short] < 0:
    lowercase					:   List[Any]				  =0

        # Increment time
  increment_time += 1
 return waiting_time


def 							lowercase_				(    __A :       list[int]					,      __A :       int					,      __A :       list[int]			)       ->      list[int]:



 """simple docstring"""




 lowercase					:   List[Any]				  =[0] * no_of_processes
 for i in range(__A			):
  lowercase					:   Union[str, Any]				  =burst_time[i] + waiting_time[i]
 return turn_around_time


def 							lowercase_				(    __A :       list[int]					,      __A :       list[int]					,      __A :       int			)       ->      None:



 """simple docstring"""




 lowercase					:   Tuple				  =0
 lowercase					:   Tuple				  =0
 for i in range(__A			):
  lowercase					:   Any				  =total_waiting_time + waiting_time[i]
  lowercase					:   Tuple				  =total_turn_around_time + turn_around_time[i]
 print(F'Average waiting time = {total_waiting_time / no_of_processes:.5f}'			)
 print('''Average turn around time ='''					,      total_turn_around_time / no_of_processes			)


if __name__ == "__main__":
      print('Enter how many process you want to analyze')
      SCREAMING_SNAKE_CASE						=	int(input())
      SCREAMING_SNAKE_CASE						=	[0] * no_of_processes
      SCREAMING_SNAKE_CASE						=	[0] * no_of_processes
      SCREAMING_SNAKE_CASE						=	list(range(1, no_of_processes + 1))

      for i in range(no_of_processes):
            print('Enter the arrival time and burst time for process:--' + str(i + 1))
            SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE						=	map(int, input().split())

      SCREAMING_SNAKE_CASE						=	calculate_waitingtime(arrival_time, burst_time, no_of_processes)

      SCREAMING_SNAKE_CASE						=	burst_time
      SCREAMING_SNAKE_CASE						=	no_of_processes
      SCREAMING_SNAKE_CASE						=	waiting_time
      SCREAMING_SNAKE_CASE						=	calculate_turnaroundtime(bt, n, wt)

      calculate_average_times(waiting_time, turn_around_time, no_of_processes)

      SCREAMING_SNAKE_CASE						=	pd.DataFrame(
          list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
          columns=[
              'Process',
              'BurstTime',
              'ArrivalTime',
              'WaitingTime',
              'TurnAroundTime',
          ],
      )

      # Printing the dataFrame
      pd.set_option('display.max_rows', fcfs.shape[0] + 1)
      print(fcfs)











'''simple docstring'''



from __future__ import annotations

import math


def 							lowercase_				(    __A :       float					,      __A :       int			)       ->      float:



 """simple docstring"""




 lowercase					:   str				  =u
 for i in range(1					,      __A			):
  lowercase					:   Any				  =temp * (u - i)
 return temp


def 							lowercase_				(    )       ->      None:



 """simple docstring"""




 lowercase					:   List[str]				  =int(input('''enter the numbers of values: '''			)			)
 lowercase					:   list[list[float]]				  =[]
 for _ in range(__A			):
  y.append([]			)
 for i in range(__A			):
  for j in range(__A			):
   y[i].append(__A			)
   lowercase					:   List[Any]				  =0

 print('''enter the values of parameters in a list: '''			)
 lowercase					:   Optional[int]				  =list(map(__A					,      input().split()			)			)

 print('''enter the values of corresponding parameters: '''			)
 for i in range(__A			):
  lowercase					:   str				  =float(input()			)

 lowercase					:   int				  =int(input('''enter the value to interpolate: '''			)			)
 lowercase					:   Union[str, Any]				  =(value - x[0]) / (x[1] - x[0])

 # for calculating forward difference table

 for i in range(1					,      __A			):
  for j in range(n - i			):
   lowercase					:   str				  =y[j + 1][i - 1] - y[j][i - 1]

 lowercase					:   Any				  =y[0][0]
 for i in range(1					,      __A			):
  summ += (ucal(__A					,      __A			) * y[0][i]) / math.factorial(__A			)

 print(F'the value at {value} is {summ}'			)


if __name__ == "__main__":
      main()



