



"""simple docstring"""






from collections import deque



class     A__     :




	'''simple docstring'''





	def __init__(  self:	Optional[int] ,    _SCREAMING_SNAKE_CASE:	str ,    _SCREAMING_SNAKE_CASE:	int ,    _SCREAMING_SNAKE_CASE:	int)       -> None:

				"""simple docstring"""

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






class     A__     :




	'''simple docstring'''





	def __init__(  self:	List[str] ,    _SCREAMING_SNAKE_CASE:	int ,    _SCREAMING_SNAKE_CASE:	list[int] ,    _SCREAMING_SNAKE_CASE:	deque[Process] ,    _SCREAMING_SNAKE_CASE:	int ,    )       -> None:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple)       -> list[str]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int] ,    _SCREAMING_SNAKE_CASE:	list[Process])       -> list[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[int]				= []
				for i in range(len(_SCREAMING_SNAKE_CASE)):
							waiting_times.append(queue[i].waiting_time)
				return waiting_times

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any] ,    _SCREAMING_SNAKE_CASE:	list[Process])       -> list[int]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple ,    _SCREAMING_SNAKE_CASE:	list[Process])       -> list[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[int]				= []
				for i in range(len(_SCREAMING_SNAKE_CASE)):
							completion_times.append(queue[i].stop_time)
				return completion_times

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any] ,    _SCREAMING_SNAKE_CASE:	deque[Process])       -> list[int]:

				"""simple docstring"""

				return [q.burst_time for q in queue]

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any] ,    _SCREAMING_SNAKE_CASE:	Process)       -> int:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[str] ,    _SCREAMING_SNAKE_CASE:	deque[Process])       -> deque[Process]:

				"""simple docstring"""

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

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any] ,    _SCREAMING_SNAKE_CASE:	deque[Process] ,    _SCREAMING_SNAKE_CASE:	int)       -> tuple[deque[Process], deque[Process]]:

				"""simple docstring"""

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

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







	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> deque[Process]:

				"""simple docstring"""

				for i in range(self.number_of_queues - 1):
							__lowerCAmelCase   :						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

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

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




"""simple docstring"""






import math


def     _lowercase       (						__snake_case      ,__snake_case			)		->     float:
			return math.pow(__snake_case      ,2			) - a


def     _lowercase       (						__snake_case			)		->     float:
			return 2 * x


def     _lowercase       (						__snake_case			)		->     float:
			__lowerCAmelCase   :						List[str]				= 2.0

			while start <= a:
						__lowerCAmelCase   :						Union[str, Any]				= math.pow(__snake_case      ,2			)

			return start


def     _lowercase       (						__snake_case      ,__snake_case = 9_999      ,__snake_case = 0.00000000000001			)		->     float:

			if a < 0:
						raise ValueError("math domain error"			)

			__lowerCAmelCase   :						List[Any]				= get_initial_point(__snake_case			)

			for _ in range(__snake_case			):
						__lowerCAmelCase   :						Union[str, Any]				= value
						__lowerCAmelCase   :						List[str]				= value - fx(__snake_case      ,__snake_case			) / fx_derivative(__snake_case			)
						if abs(prev_value - value			) < tolerance:
									return value

			return value


if __name__ == "__main__":
	from doctest import testmod

	testmod()