


from __future__ import annotations

import pandas as pd





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



       '''simple docstring'''





       UpperCAmelCase__										=     [0] * no_of_processes
       UpperCAmelCase__										=     [0] * no_of_processes
       # Copy the burst time into remaining_time[]
       for i in range(__A			):
              UpperCAmelCase__										=     burst_time[i]

       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     9_9_9_9_9_9_9_9_9
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     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:
                                   UpperCAmelCase__										=     remaining_time[j]
                                   UpperCAmelCase__										=     j
                                   UpperCAmelCase__										=     True

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

              UpperCAmelCase__										=     remaining_time[short]
              if minm == 0:
                     UpperCAmelCase__										=     9_9_9_9_9_9_9_9_9

              if remaining_time[short] == 0:
                     complete += 1
                     UpperCAmelCase__										=     False

                     # Find finish time of current process
                     UpperCAmelCase__										=     increment_time + 1

                     # Calculate waiting time
                     UpperCAmelCase__										=     finish_time - arrival_time[short]
                     UpperCAmelCase__										=     finar - burst_time[short]

                     if waiting_time[short] < 0:
                            UpperCAmelCase__										=     0

        # Increment time
              increment_time += 1
       return waiting_time





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



       '''simple docstring'''





       UpperCAmelCase__										=     [0] * no_of_processes
       for i in range(__A			):
              UpperCAmelCase__										=     burst_time[i] + waiting_time[i]
       return turn_around_time





def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					None:



       '''simple docstring'''





       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0
       for i in range(__A			):
              UpperCAmelCase__										=     total_waiting_time + waiting_time[i]
              UpperCAmelCase__										=     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")
    A      = int(input())
    A      = [0] * no_of_processes
    A      = [0] * no_of_processes
    A      = 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))
        A, A      = map(int, input().split())

    A      = calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

    calculate_average_times(waiting_time, turn_around_time, no_of_processes)

    A      = 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)









from __future__ import annotations

import math





def __UpperCAmelCase       (		__A ,						__A			)						->					float:



       '''simple docstring'''





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





def __UpperCAmelCase       (		)						->					None:



       '''simple docstring'''





       UpperCAmelCase__										=     int(input("enter the numbers of values: "			)			)
       UpperCAmelCase__										=     []
       for _ in range(__A			):
              y.append([]			)
       for i in range(__A			):
              for j in range(__A			):
                     y[i].append(__A			)
                     UpperCAmelCase__										=     0

       print("enter the values of parameters in a list: "			)
       UpperCAmelCase__										=     list(map(__A ,						input().split()			)			)

       print("enter the values of corresponding parameters: "			)
       for i in range(__A			):
              UpperCAmelCase__										=     float(input()			)

       UpperCAmelCase__										=     int(input("enter the value to interpolate: "			)			)
       UpperCAmelCase__										=     (value - x[0]) / (x[1] - x[0])

       # for calculating forward difference table

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

       UpperCAmelCase__										=     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()





