





from collections import deque







class     __lowerCAmelCase	:







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



        '''simple docstring'''




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







class     __lowerCAmelCase	:







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



        '''simple docstring'''




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







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



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						list[int]:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						list[int]:



        '''simple docstring'''




        a__     : List[str]  =[]
        for i in range(len(lowerCAmelCase__							)							):
          turnaround_times.append(queue[i].turnaround_time							)
        return turnaround_times







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						list[int]:



        '''simple docstring'''




        a__     : int  =[]
        for i in range(len(lowerCAmelCase__							)							):
          completion_times.append(queue[i].stop_time							)
        return completion_times







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						list[int]:



        '''simple docstring'''




        return [q.burst_time for q in queue]







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						int:



        '''simple docstring'''




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







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						deque[Process]:



        '''simple docstring'''




        a__     : deque[Process]  =deque()  # sequence deque of finished process
        while len(lowerCAmelCase__							) != 0:
          a__     : 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 current process
          self.update_waiting_time(lowerCAmelCase__							)
          # update current time
          self.current_time += cp.burst_time
          # finish the process and set the process's burst-time 0
          a__     : List[Any]  =0
          # set the process's turnaround time because it is finished
          a__     : List[Any]  =self.current_time - cp.arrival_time
          # set the completion time
          a__     : Dict  =self.current_time
          # add the process to queue that has finished queue
          finished.append(lowerCAmelCase__							)

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







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__							)       ->						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(lowerCAmelCase__							)							):
          a__     : 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(lowerCAmelCase__							)
          # 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__     : Tuple  =self.current_time
            # locate the process behind the queue because it is not finished
            ready_queue.append(lowerCAmelCase__							)
          else:
            # use CPU for remaining burst time
            self.current_time += cp.burst_time
            # set burst time 0 because the process is finished
            a__     : Tuple  =0
            # set the finish time
            a__     : Tuple  =self.current_time
            # update the process' turnaround time because it is finished
            a__     : Optional[Any]  =self.current_time - cp.arrival_time
            # add the process to queue that has finished queue
            finished.append(lowerCAmelCase__							)

        self.finish_queue.extend(lowerCAmelCase__							)  # 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__     : Any  =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

     UpperCAmelCase     :     str							=	Process("""P1""", 0, 53)
     UpperCAmelCase     :     Any							=	Process("""P2""", 0, 17)
     UpperCAmelCase     :     Optional[Any]							=	Process("""P3""", 0, 68)
     UpperCAmelCase     :     List[str]							=	Process("""P4""", 0, 24)
     UpperCAmelCase     :     Union[str, Any]							=	3
     UpperCAmelCase     :     List[str]							=	[17, 25]
     UpperCAmelCase     :     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])})

     UpperCAmelCase     :     str							=	Process("""P1""", 0, 53)
     UpperCAmelCase     :     Union[str, Any]							=	Process("""P2""", 0, 17)
     UpperCAmelCase     :     Optional[int]							=	Process("""P3""", 0, 68)
     UpperCAmelCase     :     Optional[int]							=	Process("""P4""", 0, 24)
     UpperCAmelCase     :     int							=	3
     UpperCAmelCase     :     Union[str, Any]							=	[17, 25]
     UpperCAmelCase     :     List[str]							=	deque([Pa, Pa, Pa, Pa])
     UpperCAmelCase     :     Any							=	MLFQ(number_of_queues, time_slices, queue, 0)
     UpperCAmelCase     :     List[str]							=	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	(		SCREAMING_SNAKE_CASE					:       int = 1	,	SCREAMING_SNAKE_CASE					:       int = 1_000						):





  """simple docstring"""



  a__     : Any  =1
  a__     : Any  =0

  for divide_by_number in range(SCREAMING_SNAKE_CASE	,	digit + 1						):
    a__     : list[int]  =[]
    a__     : int  =numerator
    for _ in range(1	,	digit + 1						):
      if now_divide in has_been_divided:
        if longest_list_length < len(SCREAMING_SNAKE_CASE						):
          a__     : Optional[Any]  =len(SCREAMING_SNAKE_CASE						)
          a__     : List[str]  =divide_by_number
      else:
        has_been_divided.append(SCREAMING_SNAKE_CASE						)
        a__     : List[Any]  =now_divide * 10 % divide_by_number

  return the_digit


# Tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()






