




from __future__ import annotations

import pandas as pd

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       list[int]	,							lowercase	:       list[int]	,							lowercase	:       int     ):


      '''simple docstring'''



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

      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    9_99_99_99_99
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    False

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

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

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

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

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

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

                  if waiting_time[short] < 0:
                        lowerCamelCase_		     =    0

        # Increment time
            increment_time += 1
      return waiting_time

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       list[int]	,							lowercase	:       int	,							lowercase	:       list[int]     ):


      '''simple docstring'''



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

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       list[int]	,							lowercase	:       list[int]	,							lowercase	:       int     ):


      '''simple docstring'''



      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    0
      for i in range(lowercase     ):
            lowerCamelCase_		     =    total_waiting_time + waiting_time[i]
            lowerCamelCase_		     =    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")
 lowerCamelCase				:		Dict     =   int(input())
 lowerCamelCase				:		str     =   [0] * no_of_processes
 lowerCamelCase				:		Dict     =   [0] * no_of_processes
 lowerCamelCase				:		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))
  lowerCamelCase    ,    lowerCamelCase				:		Dict     =   map(int, input().split())

 lowerCamelCase				:		Optional[Any]     =   calculate_waitingtime(arrival_time, burst_time, no_of_processes)

 lowerCamelCase				:		Optional[int]     =   burst_time
 lowerCamelCase				:		str     =   no_of_processes
 lowerCamelCase				:		str     =   waiting_time
 lowerCamelCase				:		Optional[Any]     =   calculate_turnaroundtime(bt, n, wt)

 calculate_average_times(waiting_time, turn_around_time, no_of_processes)

 lowerCamelCase				:		Any     =   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)









lowerCamelCase				:		Tuple     =   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[Any]	,							lowercase	:       int	,							lowercase	:       Optional[Any]	,							lowercase	:       List[Any]     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [False] * len(lowercase     )
      lowerCamelCase_		     =    [s]
      lowerCamelCase_		     =    True

      while queue:
            lowerCamelCase_		     =    queue.pop(0     )
            for ind in range(len(graph[u]     )     ):
                  if visited[ind] is False and graph[u][ind] > 0:
                        queue.append(lowercase     )
                        lowerCamelCase_		     =    True
                        lowerCamelCase_		     =    u

      return visited[t]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[str]	,							lowercase	:       Tuple	,							lowercase	:       Tuple     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [-1] * (len(lowercase     ))
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    []
      lowerCamelCase_		     =    [i[:] for i in graph]  # Record original cut, copy.
      while bfs(lowercase	,							lowercase	,							lowercase	,							lowercase     ):
            lowerCamelCase_		     =    float('Inf'     )
            lowerCamelCase_		     =    sink

            while s != source:
                  # Find the minimum value in select path
                  lowerCamelCase_		     =    min(lowercase	,							graph[parent[s]][s]     )
                  lowerCamelCase_		     =    parent[s]

            max_flow += path_flow
            lowerCamelCase_		     =    sink

            while v != source:
                  lowerCamelCase_		     =    parent[v]
                  graph[u][v] -= path_flow
                  graph[v][u] += path_flow
                  lowerCamelCase_		     =    parent[v]

      for i in range(len(lowercase     )     ):
            for j in range(len(graph[0]     )     ):
                  if graph[i][j] == 0 and temp[i][j] > 0:
                        res.append((i, j)     )

      return res


if __name__ == "__main__":
 print(mincut(test_graph, source=0, sink=5))



