
'''simple docstring'''
from collections import deque


class       _lowerCAmelCase   :







							'''simple docstring'''

							def __init__(self  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  )					->       None:
														_snake_case       =  process_name  # process name
														_snake_case       =  arrival_time  # arrival time of the process
														# completion time of finished process or last interrupted time
														_snake_case       =  arrival_time
														_snake_case       =  burst_time  # remaining burst time
														_snake_case       =  0  # total time of the process wait in ready queue
														_snake_case       =  0  # time from arrival time to completion time


class       _lowerCAmelCase   :







							'''simple docstring'''

							def __init__(self  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  )					->       None:
														# total number of mlfq's queues
														_snake_case       =  number_of_queues
														# time slice of queues that round robin algorithm applied
														_snake_case       =  time_slices
														# unfinished process is in this ready_queue
														_snake_case       =  queue
														# current time
														_snake_case       =  current_time
														# finished process is in this sequence queue
														_snake_case       =  deque()

							def 	lowercase							(self  )					->       list[str]:
														_snake_case       =  []
														for i in range(len(self.finish_queue  )  ):
																					sequence.append(self.finish_queue[i].process_name  )
														return sequence

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       list[int]:
														_snake_case       =  []
														for i in range(len(__snake_case  )  ):
																					waiting_times.append(queue[i].waiting_time  )
														return waiting_times

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       list[int]:
														_snake_case       =  []
														for i in range(len(__snake_case  )  ):
																					turnaround_times.append(queue[i].turnaround_time  )
														return turnaround_times

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       list[int]:
														_snake_case       =  []
														for i in range(len(__snake_case  )  ):
																					completion_times.append(queue[i].stop_time  )
														return completion_times

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       list[int]:
														return [q.burst_time for q in queue]

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       int:
														process.waiting_time += self.current_time - process.stop_time
														return process.waiting_time

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

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

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

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





							def 	lowercase							(self  )					->       deque[Process]:

														#  all queues except last one have round_robin algorithm
														for i in range(self.number_of_queues - 1  ):
																					_snake_case,							_snake_case       =  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

				__lowerCAmelCase												=	Process('P1', 0, 53)
				__lowerCAmelCase												=	Process('P2', 0, 17)
				__lowerCAmelCase												=	Process('P3', 0, 68)
				__lowerCAmelCase												=	Process('P4', 0, 24)
				__lowerCAmelCase												=	3
				__lowerCAmelCase												=	[17, 25]
				__lowerCAmelCase												=	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])})

				__lowerCAmelCase												=	Process('P1', 0, 53)
				__lowerCAmelCase												=	Process('P2', 0, 17)
				__lowerCAmelCase												=	Process('P3', 0, 68)
				__lowerCAmelCase												=	Process('P4', 0, 24)
				__lowerCAmelCase												=	3
				__lowerCAmelCase												=	[17, 25]
				__lowerCAmelCase												=	deque([Pa, Pa, Pa, Pa])
				__lowerCAmelCase												=	MLFQ(number_of_queues, time_slices, queue, 0)
				__lowerCAmelCase												=	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 diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)