






"""simple docstring"""






from collections import deque





class       snake_case_       :



	"""simple docstring"""

	def __init__(      self  ,					__a  ,					__a  ,					__a						):


					"""simple docstring"""

					A__							 =       process_name  # process name
					A__							 =       arrival_time  # arrival time of the process
					# completion time of finished process or last interrupted time
					A__							 =       arrival_time
					A__							 =       burst_time  # remaining burst time
					A__							 =       0  # total time of the process wait in ready queue
					A__							 =       0  # time from arrival time to completion time





class       snake_case_       :



	"""simple docstring"""

	def __init__(      self  ,					__a  ,					__a  ,					__a  ,					__a  ,					):


					"""simple docstring"""

					A__							 =       number_of_queues
					# time slice of queues that round robin algorithm applied
					A__							 =       time_slices
					# unfinished process is in this ready_queue
					A__							 =       queue
					# current time
					A__							 =       current_time
					# finished process is in this sequence queue
					A__							 =       deque()


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       []
					for i in range(len(__a						)						):
									waiting_times.append(queue[i].waiting_time						)
					return waiting_times


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       []
					for i in range(len(__a						)						):
									turnaround_times.append(queue[i].turnaround_time						)
					return turnaround_times


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       []
					for i in range(len(__a						)						):
									completion_times.append(queue[i].stop_time						)
					return completion_times


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return [q.burst_time for q in queue]


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       deque()  # sequence deque of finished process
					while len(__a						) != 0:
									A__							 =       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(__a						)
									# update current time
									self.current_time += cp.burst_time
									# finish the process and set the process's burst-time 0
									A__							 =       0
									# set the process's turnaround time because it is finished
									A__							 =       self.current_time - cp.arrival_time
									# set the completion time
									A__							 =       self.current_time
									# add the process to queue that has finished queue
									finished.append(__a						)

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


	def       _UpperCAmelCase						(      self  ,					__a  ,					__a						):


					"""simple docstring"""

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

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






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					for i in range(self.number_of_queues - 1						):
									A__ ,			A__							 =       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

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

					SCREAMING_SNAKE_CASE						:						Union[str, Any]					   =       Process('''P1''', 0, 53)
					SCREAMING_SNAKE_CASE						:						Tuple					   =       Process('''P2''', 0, 17)
					SCREAMING_SNAKE_CASE						:						Any					   =       Process('''P3''', 0, 68)
					SCREAMING_SNAKE_CASE						:						List[str]					   =       Process('''P4''', 0, 24)
					SCREAMING_SNAKE_CASE						:						Tuple					   =       3
					SCREAMING_SNAKE_CASE						:						Any					   =       [17, 25]
					SCREAMING_SNAKE_CASE						:						List[Any]					   =       deque([Pa, Pa, Pa, Pa])
					SCREAMING_SNAKE_CASE						:						Union[str, Any]					   =       MLFQ(number_of_queues, time_slices, queue, 0)
					SCREAMING_SNAKE_CASE						:						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()}'''
					)










"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE						:						Any					   =       logging.get_logger(__name__)





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Union[str, Any]   			=					"""timm_backbone"""


	def __init__(      self  ,					__a=None  ,					__a=3  ,					__a=True  ,					__a=True  ,					__a=None  ,					**__a  ,					):


					"""simple docstring"""

					super().__init__(**__a						)
					A__							 =       backbone
					A__							 =       num_channels
					A__							 =       features_only
					A__							 =       use_pretrained_backbone
					A__							 =       True
					A__							 =       out_indices if out_indices is not None else (-1,)


