
'''simple docstring'''





from collections import deque





class       __A:

					def __init__(	self					:     str   ,					__UpperCamelCase					:     str   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ):
												lowerCamelCase_							  =					process_name  # process name
												lowerCamelCase_							  =					arrival_time  # arrival time of the process
												# completion time of finished process or last interrupted time
												lowerCamelCase_							  =					arrival_time
												lowerCamelCase_							  =					burst_time  # remaining burst time
												lowerCamelCase_							  =					0  # total time of the process wait in ready queue
												lowerCamelCase_							  =					0  # time from arrival time to completion time





class       __A:

					def __init__(	self					:     Dict   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     list[int]   ,					__UpperCamelCase					:     deque[Process]   ,					__UpperCamelCase					:     int   ,					):
												# total number of mlfq's queues
												lowerCamelCase_							  =					number_of_queues
												# time slice of queues that round robin algorithm applied
												lowerCamelCase_							  =					time_slices
												# unfinished process is in this ready_queue
												lowerCamelCase_							  =					queue
												# current time
												lowerCamelCase_							  =					current_time
												# finished process is in this sequence queue
												lowerCamelCase_							  =					deque()

					def    lowercase__      (	self					:     Tuple   ):
												lowerCamelCase_							  =					[]
												for i in range(len(self.finish_queue   )   ):
																			sequence.append(self.finish_queue[i].process_name   )
												return sequence

					def    lowercase__      (	self					:     Union[str, Any]   ,					__UpperCamelCase					:     list[Process]   ):
												lowerCamelCase_							  =					[]
												for i in range(len(__UpperCamelCase   )   ):
																			waiting_times.append(queue[i].waiting_time   )
												return waiting_times

					def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     list[Process]   ):
												lowerCamelCase_							  =					[]
												for i in range(len(__UpperCamelCase   )   ):
																			turnaround_times.append(queue[i].turnaround_time   )
												return turnaround_times

					def    lowercase__      (	self					:     List[Any]   ,					__UpperCamelCase					:     list[Process]   ):
												lowerCamelCase_							  =					[]
												for i in range(len(__UpperCamelCase   )   ):
																			completion_times.append(queue[i].stop_time   )
												return completion_times

					def    lowercase__      (	self					:     Dict   ,					__UpperCamelCase					:     deque[Process]   ):
												return [q.burst_time for q in queue]

					def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     Process   ):
												process.waiting_time += self.current_time - process.stop_time
												return process.waiting_time

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

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

					def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     deque[Process]   ,					__UpperCamelCase					:     int   ):
												lowerCamelCase_							  =					deque()  # sequence deque of terminated process
												# just for 1 cycle and unfinished processes will go back to queue
												for _ in range(len(__UpperCamelCase   )   ):
																			lowerCamelCase_							  =					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(__UpperCamelCase   )
																			# 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
																										lowerCamelCase_							  =					self.current_time
																										# locate the process behind the queue because it is not finished
																										ready_queue.append(__UpperCamelCase   )
																			else:
																										# use CPU for remaining burst time
																										self.current_time += cp.burst_time
																										# set burst time 0 because the process is finished
																										lowerCamelCase_							  =					0
																										# set the finish time
																										lowerCamelCase_							  =					self.current_time
																										# update the process' turnaround time because it is finished
																										lowerCamelCase_							  =					self.current_time - cp.arrival_time
																										# add the process to queue that has finished queue
																										finished.append(__UpperCamelCase   )

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



					def    lowercase__      (	self					:     List[str]   ):

												#  all queues except last one have round_robin algorithm
												for i in range(self.number_of_queues - 1   ):
																			lowerCamelCase_  ,   lowerCamelCase_							  =					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        =  Process('''P1''', 0, 5_3)
		lowercase        =  Process('''P2''', 0, 1_7)
		lowercase        =  Process('''P3''', 0, 6_8)
		lowercase        =  Process('''P4''', 0, 2_4)
		lowercase        =  3
		lowercase        =  [1_7, 2_5]
		lowercase        =  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        =  Process('''P1''', 0, 5_3)
		lowercase        =  Process('''P2''', 0, 1_7)
		lowercase        =  Process('''P3''', 0, 6_8)
		lowercase        =  Process('''P4''', 0, 2_4)
		lowercase        =  3
		lowercase        =  [1_7, 2_5]
		lowercase        =  deque([Pa, Pa, Pa, Pa])
		lowercase        =  MLFQ(number_of_queues, time_slices, queue, 0)
		lowercase        =  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()}"""
		)







from ..utils import DummyObject, requires_backends





class       __A(				metaclass=UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    ['''torch''', '''scipy''']

					def __init__(	self					:     Any   ,					*__UpperCamelCase					:     str   ,					**__UpperCamelCase					:     Any   ):
												requires_backends(self   ,					["""torch""", """scipy"""]   )

					@classmethod
					def    lowercase__      (	cls					:     Dict   ,					*__UpperCamelCase					:     str   ,					**__UpperCamelCase					:     Dict   ):
												requires_backends(cls   ,					["""torch""", """scipy"""]   )



					@classmethod
					def    lowercase__      (	cls					:     str   ,					*__UpperCamelCase					:     Optional[int]   ,					**__UpperCamelCase					:     Optional[int]   ):
												requires_backends(cls   ,					["""torch""", """scipy"""]   )





