

"""simple docstring"""




from collections import deque
class      _UpperCAmelCase   :



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






class      _UpperCAmelCase   :



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



	def        a  (  self     :       Dict						):
		__UpperCAmelCase      		= []
		for i in range(len(self.finish_queue						)						):
			sequence.append(self.finish_queue[i].process_name						)
		return sequence



	def        a  (  self     :       str			,    _lowercase     :       list[Process]						):
		__UpperCAmelCase      		= []
		for i in range(len(_lowercase						)						):
			waiting_times.append(queue[i].waiting_time						)
		return waiting_times



	def        a  (  self     :       Any			,    _lowercase     :       list[Process]						):
		__UpperCAmelCase      		= []
		for i in range(len(_lowercase						)						):
			turnaround_times.append(queue[i].turnaround_time						)
		return turnaround_times



	def        a  (  self     :       Tuple			,    _lowercase     :       list[Process]						):
		__UpperCAmelCase      		= []
		for i in range(len(_lowercase						)						):
			completion_times.append(queue[i].stop_time						)
		return completion_times



	def        a  (  self     :       Optional[int]			,    _lowercase     :       deque[Process]						):
		return [q.burst_time for q in queue]



	def        a  (  self     :       str			,    _lowercase     :       Process						):
		process.waiting_time += self.current_time - process.stop_time
		return process.waiting_time



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

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



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

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



	def        a  (  self     :       Union[str, Any]						):

		#  all queues except last one have round_robin algorithm
		for i in range(self.number_of_queues - 1						):
			__UpperCAmelCase		,							__UpperCAmelCase      		= 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   :	List[str]												=						Process('P1', 0, 53)
				_lowercase   :	str												=						Process('P2', 0, 17)
				_lowercase   :	Union[str, Any]												=						Process('P3', 0, 68)
				_lowercase   :	int												=						Process('P4', 0, 24)
				_lowercase   :	Any												=						3
				_lowercase   :	Union[str, Any]												=						[17, 25]
				_lowercase   :	Dict												=						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   :	Optional[Any]												=						Process('P1', 0, 53)
				_lowercase   :	Tuple												=						Process('P2', 0, 17)
				_lowercase   :	Optional[int]												=						Process('P3', 0, 68)
				_lowercase   :	int												=						Process('P4', 0, 24)
				_lowercase   :	int												=						3
				_lowercase   :	int												=						[17, 25]
				_lowercase   :	List[str]												=						deque([Pa, Pa, Pa, Pa])
				_lowercase   :	List[Any]												=						MLFQ(number_of_queues, time_slices, queue, 0)
				_lowercase   :	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()}"""
				)






"""simple docstring"""

import math






def 		_snake_case	(   _snake_case				:   float							,    _snake_case				:   float				)       ->   float:






      '''simple docstring'''


      if (
          not isinstance(_snake_case							,    (int, float)				)
          or power_factor < -1
          or power_factor > 1
      ):
            raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
      return apparent_power * power_factor






def 		_snake_case	(   _snake_case				:   float							,    _snake_case				:   float				)       ->   float:






      '''simple docstring'''


      if (
          not isinstance(_snake_case							,    (int, float)				)
          or power_factor < -1
          or power_factor > 1
      ):
            raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
      return apparent_power * math.sqrt(1 - power_factor**2				)


if __name__ == "__main__":
       import doctest

       doctest.testmod()

