



from collections import deque

class   _A   :


						'''simple docstring'''





						def __init__(	self	:							List[str]							,      lowerCamelCase	:							str							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int	):






							'''simple docstring'''



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

class   _A   :


						'''simple docstring'''





						def __init__(	self	:							Any							,      lowerCamelCase	:							int							,      lowerCamelCase	:							list[int]							,      lowerCamelCase	:							deque[Process]							,      lowerCamelCase	:							int							,      ):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Any							,      lowerCamelCase	:							list[Process]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Optional[int]							,      lowerCamelCase	:							list[Process]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							list[Process]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							str							,      lowerCamelCase	:							deque[Process]	):






							'''simple docstring'''



							return [q.burst_time for q in queue]



						def     _snake_case	(	self	:							int							,      lowerCamelCase	:							Process	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							List[Any]							,      lowerCamelCase	:							deque[Process]	):






							'''simple docstring'''



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

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



						def     _snake_case	(	self	:							str							,      lowerCamelCase	:							deque[Process]							,      lowerCamelCase	:							int	):






							'''simple docstring'''



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

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



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






							'''simple docstring'''



							for i in range(self.number_of_queues - 1	):
								__lowercase       ,    __lowercase		       =			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__					:     List[str]    		=   Process("""P2""", 0, 17)
	snake_case__					:     List[Any]    		=   Process("""P3""", 0, 68)
	snake_case__					:     Union[str, Any]    		=   Process("""P4""", 0, 24)
	snake_case__					:     Union[str, Any]    		=   3
	snake_case__					:     Union[str, Any]    		=   [17, 25]
	snake_case__					:     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])})

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








from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass

@dataclass
class   _A   :


						'''simple docstring'''





						_snake_case			:     int
						_snake_case			:     TreeNode | None      							=      None
						_snake_case			:     TreeNode | None      							=      None

snake_case__					:     Dict    		=   namedtuple("""CoinsDistribResult""", """moves excess""")



def    snake_case_				(    _SCREAMING_SNAKE_CASE   ):

	if root is None:
		return 0

	# Validation
	def count_nodes(_SCREAMING_SNAKE_CASE   ) -> int:
		if node is None:
			return 0

		return count_nodes(node.left   ) + count_nodes(node.right   ) + 1

	def count_coins(_SCREAMING_SNAKE_CASE   ) -> int:
		if node is None:
			return 0

		return count_coins(node.left   ) + count_coins(node.right   ) + node.data

	if count_nodes(_SCREAMING_SNAKE_CASE   ) != count_coins(_SCREAMING_SNAKE_CASE   ):
		raise ValueError("The nodes number should be same as the number of coins"   )

	# Main calculation
	def get_distrib(_SCREAMING_SNAKE_CASE   ) -> CoinsDistribResult:

		if node is None:
			return CoinsDistribResult(0  ,	1   )

		__lowercase       ,    __lowercase		       =			get_distrib(node.left   )
		__lowercase       ,    __lowercase		       =			get_distrib(node.right   )

		__lowercase		       =			1 - left_distrib_excess
		__lowercase		       =			1 - right_distrib_excess

		__lowercase		       =			(
		    left_distrib_moves
		    + right_distrib_moves
		    + abs(_SCREAMING_SNAKE_CASE   )
		    + abs(_SCREAMING_SNAKE_CASE   )
		)
		__lowercase		       =			node.data - coins_to_left - coins_to_right

		return CoinsDistribResult(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   )

	return get_distrib(_SCREAMING_SNAKE_CASE   )[0]


if __name__ == "__main__":
	import doctest

	doctest.testmod()



