"""simple docstring"""



from __future__ import annotations

import pandas as pd





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     __snake_case				=							[0] * no_of_processes
     __snake_case				=							[0] * no_of_processes
     # Copy the burst time into remaining_time[]
     for i in range(snake_case):
          __snake_case				=							burst_time[i]

     __snake_case				=							0
     __snake_case				=							0
     __snake_case				=							9_99_99_99_99
     __snake_case				=							0
     __snake_case				=							False

     # Process until all processes are completed
     while complete != no_of_processes:
          for j in range(snake_case):
               if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                    if remaining_time[j] < minm:
                         __snake_case				=							remaining_time[j]
                         __snake_case				=							j
                         __snake_case				=							True

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

          __snake_case				=							remaining_time[short]
          if minm == 0:
               __snake_case				=							9_99_99_99_99

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

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

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

               if waiting_time[short] < 0:
                    __snake_case				=							0

        # Increment time
          increment_time += 1
     return waiting_time





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     __snake_case				=							[0] * no_of_processes
     for i in range(snake_case):
          __snake_case				=							burst_time[i] + waiting_time[i]
     return turn_around_time





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     __snake_case				=							0
     __snake_case				=							0
     for i in range(snake_case):
          __snake_case				=							total_waiting_time + waiting_time[i]
          __snake_case				=							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")
       __lowercase		:		Tuple														=							int(input())
       __lowercase		:		Tuple														=							[0] * no_of_processes
       __lowercase		:		Optional[int]														=							[0] * no_of_processes
       __lowercase		:		int														=							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))
              __lowercase							,__lowercase		:		Optional[int]														=							map(int, input().split())

       __lowercase		:		str														=							calculate_waitingtime(arrival_time, burst_time, no_of_processes)

       __lowercase		:		Any														=							burst_time
       __lowercase		:		Dict														=							no_of_processes
       __lowercase		:		Tuple														=							waiting_time
       __lowercase		:		str														=							calculate_turnaroundtime(bt, n, wt)

       calculate_average_times(waiting_time, turn_around_time, no_of_processes)

       __lowercase		:		Dict														=							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"""



def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							len(snake_case)
     for i in range(length - 1):
          __snake_case				=							i
          for k in range(i + 1,      snake_case):
               if collection[k] < collection[least]:
                    __snake_case				=							k
          if least != i:
               __snake_case		,	__snake_case				=							(collection[i], collection[least])
     return collection


if __name__ == "__main__":
       __lowercase		:		Optional[Any]														=							input("Enter numbers separated by a comma:\n").strip()
       __lowercase		:		Tuple														=							[int(item) for item in user_input.split(",")]
       print(selection_sort(unsorted))