



from collections import deque







class 							_a							:

			def __init__(self,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_ )    ->					Dict:
						UpperCAmelCase_:						Any					=			process_name  # process name
						UpperCAmelCase_:						Union[str, Any]					=			arrival_time  # arrival time of the process
						# completion time of finished process or last interrupted time
						UpperCAmelCase_:						Union[str, Any]					=			arrival_time
						UpperCAmelCase_:						Union[str, Any]					=			burst_time  # remaining burst time
						UpperCAmelCase_:						Optional[Any]					=			0  # total time of the process wait in ready queue
						UpperCAmelCase_:						Tuple					=			0  # time from arrival time to completion time







class 							_a							:

			def __init__(self,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_,					)    ->					Union[str, Any]:
						UpperCAmelCase_:						Dict					=			number_of_queues
						# time slice of queues that round robin algorithm applied
						UpperCAmelCase_:						List[Any]					=			time_slices
						# unfinished process is in this ready_queue
						UpperCAmelCase_:						Dict					=			queue
						# current time
						UpperCAmelCase_:						Any					=			current_time
						# finished process is in this sequence queue
						UpperCAmelCase_:						deque[Process]					=			deque()

			def 			__snake_case    (self )    ->					Union[str, Any]:
						UpperCAmelCase_:						Optional[Any]					=			[]
						for i in range(len(self.finish_queue ) ):
									sequence.append(self.finish_queue[i].process_name )
						return sequence

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					int:
						UpperCAmelCase_:						Union[str, Any]					=			[]
						for i in range(len(_a ) ):
									waiting_times.append(queue[i].waiting_time )
						return waiting_times

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					int:
						UpperCAmelCase_:						Optional[Any]					=			[]
						for i in range(len(_a ) ):
									turnaround_times.append(queue[i].turnaround_time )
						return turnaround_times

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					Union[str, Any]:
						UpperCAmelCase_:						Optional[Any]					=			[]
						for i in range(len(_a ) ):
									completion_times.append(queue[i].stop_time )
						return completion_times

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					Dict:
						return [q.burst_time for q in queue]

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					Optional[Any]:
						process.waiting_time += self.current_time - process.stop_time
						return process.waiting_time

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					int:
						UpperCAmelCase_:						deque[Process]					=			deque()  # sequence deque of finished process
						while len(_a ) != 0:
									UpperCAmelCase_:						List[str]					=			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
									UpperCAmelCase_:						Dict					=			0
									# set the process's turnaround time because it is finished
									UpperCAmelCase_:						List[Any]					=			self.current_time - cp.arrival_time
									# set the completion time
									UpperCAmelCase_:						int					=			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 			__snake_case    (self,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_ )    ->					Any:
						UpperCAmelCase_:						deque[Process]					=			deque()  # sequence deque of terminated process
						# just for 1 cycle and unfinished processes will go back to queue
						for _ in range(len(_a ) ):
									UpperCAmelCase_:						Optional[int]					=			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
												UpperCAmelCase_:						str					=			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
												UpperCAmelCase_:						Tuple					=			0
												# set the finish time
												UpperCAmelCase_:						Optional[int]					=			self.current_time
												# update the process' turnaround time because it is finished
												UpperCAmelCase_:						int					=			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 			__snake_case    (self )    ->					Dict:






						for i in range(self.number_of_queues - 1 ):
									UpperCAmelCase_:						Dict					=			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

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

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







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCAmelCase         =    logging.get_logger(__name__)







class UpperCAmelCase__	( lowercase__	):





  """simple docstring"""

  def __init__(		self      :     int							,*_a      :     Optional[int]							,**_a      :     str       ):


     '''simple docstring'''






     warnings.warn(
         'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
         ' use BeitImageProcessor instead.'							,_a							,)
     super().__init__(*_a							,**_a       )



