





from collections import deque





class 			A__   :




   """simple docstring"""



   def __init__( self ,  lowercase ,  lowercase ,  lowercase)      ->						None:







          '''simple docstring'''

          a__						:     Any			=    process_name  # process name
          a__						:     Tuple			=    arrival_time  # arrival time of the process
          # completion time of finished process or last interrupted time
          a__						:     List[Any]			=    arrival_time
          a__						:     Union[str, Any]			=    burst_time  # remaining burst time
          a__						:     List[str]			=    0  # total time of the process wait in ready queue
          a__						:     Dict			=    0  # time from arrival time to completion time





class 			A__   :




   """simple docstring"""



   def __init__( self ,  lowercase ,  lowercase ,  lowercase ,  lowercase ,  )      ->						None:







          '''simple docstring'''

          a__						:     int			=    number_of_queues
          # time slice of queues that round robin algorithm applied
          a__						:     Union[str, Any]			=    time_slices
          # unfinished process is in this ready_queue
          a__						:     Tuple			=    queue
          # current time
          a__						:     List[str]			=    current_time
          # finished process is in this sequence queue
          a__						:     deque[Process]			=    deque()

   def 							__lowercase		( self)      ->						list[str]:







          '''simple docstring'''

          a__						:     Dict			=    []
          for i in range(len(self.finish_queue)):
                 sequence.append(self.finish_queue[i].process_name)
          return sequence

   def 							__lowercase		( self ,  lowercase)      ->						list[int]:







          '''simple docstring'''

          a__						:     Union[str, Any]			=    []
          for i in range(len(lowercase)):
                 waiting_times.append(queue[i].waiting_time)
          return waiting_times

   def 							__lowercase		( self ,  lowercase)      ->						list[int]:







          '''simple docstring'''

          a__						:     Optional[int]			=    []
          for i in range(len(lowercase)):
                 turnaround_times.append(queue[i].turnaround_time)
          return turnaround_times

   def 							__lowercase		( self ,  lowercase)      ->						list[int]:







          '''simple docstring'''

          a__						:     Optional[Any]			=    []
          for i in range(len(lowercase)):
                 completion_times.append(queue[i].stop_time)
          return completion_times

   def 							__lowercase		( self ,  lowercase)      ->						list[int]:







          '''simple docstring'''

          return [q.burst_time for q in queue]

   def 							__lowercase		( self ,  lowercase)      ->						int:







          '''simple docstring'''

          process.waiting_time += self.current_time - process.stop_time
          return process.waiting_time

   def 							__lowercase		( self ,  lowercase)      ->						deque[Process]:







          '''simple docstring'''

          a__						:     deque[Process]			=    deque()  # sequence deque of finished process
          while len(lowercase) != 0:
                 a__						:     Dict			=    ready_queue.popleft()  # current process

                 # if process's arrival time is later than current time, update current time
                 if self.current_time < cp.arrival_time:
                        self.current_time += cp.arrival_time

                 # update waiting time of current process
                 self.update_waiting_time(lowercase)
                 # update current time
                 self.current_time += cp.burst_time
                 # finish the process and set the process's burst-time 0
                 a__						:     Dict			=    0
                 # set the process's turnaround time because it is finished
                 a__						:     List[str]			=    self.current_time - cp.arrival_time
                 # set the completion time
                 a__						:     Union[str, Any]			=    self.current_time
                 # add the process to queue that has finished queue
                 finished.append(lowercase)

          self.finish_queue.extend(lowercase)  # add finished process to finish queue
          # FCFS will finish all remaining processes
          return finished

   def 							__lowercase		( self ,  lowercase ,  lowercase)      ->						tuple[deque[Process], deque[Process]]:







          '''simple docstring'''

          a__						:     deque[Process]			=    deque()  # sequence deque of terminated process
          # just for 1 cycle and unfinished processes will go back to queue
          for _ in range(len(lowercase)):
                 a__						:     List[Any]			=    ready_queue.popleft()  # current process

                 # if process's arrival time is later than current time, update current time
                 if self.current_time < cp.arrival_time:
                        self.current_time += cp.arrival_time

                 # update waiting time of unfinished processes
                 self.update_waiting_time(lowercase)
                 # if the burst time of process is bigger than time-slice
                 if cp.burst_time > time_slice:
                        # use CPU for only time-slice
                        self.current_time += time_slice
                        # update remaining burst time
                        cp.burst_time -= time_slice
                        # update end point time
                        a__						:     List[Any]			=    self.current_time
                        # locate the process behind the queue because it is not finished
                        ready_queue.append(lowercase)
                 else:
                        # use CPU for remaining burst time
                        self.current_time += cp.burst_time
                        # set burst time 0 because the process is finished
                        a__						:     int			=    0
                        # set the finish time
                        a__						:     Optional[int]			=    self.current_time
                        # update the process' turnaround time because it is finished
                        a__						:     Tuple			=    self.current_time - cp.arrival_time
                        # add the process to queue that has finished queue
                        finished.append(lowercase)

          self.finish_queue.extend(lowercase)  # add finished process to finish queue
          # return finished processes queue and remaining processes queue
          return finished, ready_queue

   def 							__lowercase		( self)      ->						deque[Process]:







          '''simple docstring'''

          for i in range(self.number_of_queues - 1):
                 a__			,							a__						:     Optional[int]			=    self.round_robin(
                     self.ready_queue ,  self.time_slices[i])
          #  the last queue has first_come_first_served algorithm
          self.first_come_first_served(self.ready_queue)

          return self.finish_queue


if __name__ == "__main__":
    import doctest

    lowercase				:	Any      						=  Process("""P1""", 0, 5_3)
    lowercase				:	Union[str, Any]      						=  Process("""P2""", 0, 1_7)
    lowercase				:	int      						=  Process("""P3""", 0, 6_8)
    lowercase				:	Optional[Any]      						=  Process("""P4""", 0, 2_4)
    lowercase				:	Union[str, Any]      						=  3
    lowercase				:	Optional[int]      						=  [1_7, 2_5]
    lowercase				:	Optional[int]      						=  deque([Pa, Pa, Pa, Pa])

    if len(time_slices) != number_of_queues - 1:
        raise SystemExit(0)

    doctest.testmod(extraglobs={"""queue""": deque([Pa, Pa, Pa, Pa])})

    lowercase				:	Tuple      						=  Process("""P1""", 0, 5_3)
    lowercase				:	List[Any]      						=  Process("""P2""", 0, 1_7)
    lowercase				:	Tuple      						=  Process("""P3""", 0, 6_8)
    lowercase				:	Optional[int]      						=  Process("""P4""", 0, 2_4)
    lowercase				:	List[Any]      						=  3
    lowercase				:	Dict      						=  [1_7, 2_5]
    lowercase				:	Optional[Any]      						=  deque([Pa, Pa, Pa, Pa])
    lowercase				:	List[Any]      						=  MLFQ(number_of_queues, time_slices, queue, 0)
    lowercase				:	Optional[int]      						=  mlfq.multi_level_feedback_queue()

    # print total waiting times of processes(P1, P2, P3, P4)
    print(
        F"""waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}"""
    )
    # print completion times of processes(P1, P2, P3, P4)
    print(
        F"""completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}"""
    )
    # print total turnaround times of processes(P1, P2, P3, P4)
    print(
        F"""turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}"""
    )
    # print sequence of finished processes
    print(
        F"""sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}"""
    )









def A_     (		A__    )  ->		List[str]:  # noqa: E741
       a__						:     Dict			=    len(A__    )
       a__						:     str			=    0
       a__						:     Any			=    [0] * n
       a__						:     int			=    [False] * n
       a__						:     Optional[Any]			=    [False] * n

       def dfs(A__		,				A__		,				A__		,				A__    ):
              if parent == root:
                     out_edge_count += 1
              a__						:     Union[str, Any]			=    True
              a__						:     Optional[Any]			=    at

              for to in l[at]:
                     if to == parent:
                            pass
                     elif not visited[to]:
                            a__						:     List[Any]			=    dfs(A__		,				A__		,				A__		,				A__    )
                            a__						:     Dict			=    min(low[at]		,				low[to]    )

                            # AP found via bridge
                            if at < low[to]:
                                   a__						:     Dict			=    True
                            # AP found via cycle
                            if at == low[to]:
                                   a__						:     List[Any]			=    True
                     else:
                            a__						:     Optional[int]			=    min(low[at]		,				A__    )
              return out_edge_count

       for i in range(A__    ):
              if not visited[i]:
                     a__						:     Tuple			=    0
                     a__						:     Any			=    dfs(A__		,				A__		,				-1		,				A__    )
                     a__						:     List[Any]			=    out_edge_count > 1

       for x in range(len(A__    )    ):
              if is_art[x] is True:
                     print(A__    )


# Adjacency list of graph
lowercase				:	List[Any]      						=  {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)


