





from __future__ import annotations

import pandas as pd





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a		)					->		list[int]:







  """simple docstring"""





  lowerCamelCase__:				Any        =[0] * no_of_processes
  lowerCamelCase__:				Any        =[0] * no_of_processes
  # Copy the burst time into remaining_time[]
  for i in range(__a		):
    lowerCamelCase__:				int        =burst_time[i]

  lowerCamelCase__:				int        =0
  lowerCamelCase__:				Any        =0
  lowerCamelCase__:				int        =999999999
  lowerCamelCase__:				List[Any]        =0
  lowerCamelCase__:				Optional[Any]        =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:
          lowerCamelCase__:				Dict        =remaining_time[j]
          lowerCamelCase__:				Tuple        =j
          lowerCamelCase__:				Any        =True

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

    lowerCamelCase__:				Dict        =remaining_time[short]
    if minm == 0:
      lowerCamelCase__:				Union[str, Any]        =999999999

    if remaining_time[short] == 0:
      complete += 1
      lowerCamelCase__:				Optional[Any]        =False

      # Find finish time of current process
      lowerCamelCase__:				Optional[Any]        =increment_time + 1

      # Calculate waiting time
      lowerCamelCase__:				Union[str, Any]        =finish_time - arrival_time[short]
      lowerCamelCase__:				List[Any]        =finar - burst_time[short]

      if waiting_time[short] < 0:
        lowerCamelCase__:				List[str]        =0

        # Increment time
    increment_time += 1
  return waiting_time





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a		)					->		list[int]:







  """simple docstring"""





  lowerCamelCase__:				Any        =[0] * no_of_processes
  for i in range(__a		):
    lowerCamelCase__:				Tuple        =burst_time[i] + waiting_time[i]
  return turn_around_time





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a		)					->		None:







  """simple docstring"""





  lowerCamelCase__:				str        =0
  lowerCamelCase__:				List[str]        =0
  for i in range(__a		):
    lowerCamelCase__:				Optional[int]        =total_waiting_time + waiting_time[i]
    lowerCamelCase__:				Any        =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 math import pow





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a     ,   __a     ,   __a     ,   )					->		tuple[int, int]:







  """simple docstring"""





  if current_sum == needed_sum:
    # If the sum of the powers is equal to needed_sum, then we have a solution.
    solutions_count += 1
    return current_sum, solutions_count

  lowerCamelCase__:				Optional[Any]        =int(pow(__a     ,   __a		)		)
  if current_sum + i_to_n <= needed_sum:
    # If the sum of the powers is less than needed_sum, then continue adding powers.
    current_sum += i_to_n
    lowerCamelCase__  , lowerCamelCase__:				int        =backtrack(
        __a     ,   __a     ,   current_number + 1     ,   __a     ,   __a		)
    current_sum -= i_to_n
  if i_to_n < needed_sum:
    # If the power of i is less than needed_sum, then try with the next power.
    lowerCamelCase__  , lowerCamelCase__:				Dict        =backtrack(
        __a     ,   __a     ,   current_number + 1     ,   __a     ,   __a		)
  return current_sum, solutions_count





def 					lowerCAmelCase_			(	__a     ,   __a		)					->		int:







  """simple docstring"""





  if not (1 <= needed_sum <= 1000 and 2 <= power <= 10):
    raise ValueError(
        "Invalid input\n"
        "needed_sum must be between 1 and 1000, power between 2 and 10."		)

  return backtrack(__a     ,   __a     ,   1     ,   0     ,   0		)[1]  # Return the solutions_count


if __name__ == "__main__":
     import doctest

     doctest.testmod()

