






'''simple docstring'''

from collections import deque






class 							__magic_name__     :







	"""simple docstring"""



	def __init__(							self  ,      _lowercase  ,      _lowercase  ,      _lowercase       )						->  None:
							lowercase_      :   List[str]        =			process_name  # process name
							lowercase_      :   Dict        =			arrival_time  # arrival time of the process
							# completion time of finished process or last interrupted time
							lowercase_      :   int        =			arrival_time
							lowercase_      :   List[str]        =			burst_time  # remaining burst time
							lowercase_      :   Union[str, Any]        =			0  # total time of the process wait in ready queue
							lowercase_      :   List[str]        =			0  # time from arrival time to completion time






class 							__magic_name__     :







	"""simple docstring"""



	def __init__(							self  ,      _lowercase  ,      _lowercase  ,      _lowercase  ,      _lowercase  ,      )						->  None:
							# total number of mlfq's queues
							lowercase_      :   Any        =			number_of_queues
							# time slice of queues that round robin algorithm applied
							lowercase_      :   Union[str, Any]        =			time_slices
							# unfinished process is in this ready_queue
							lowercase_      :   int        =			queue
							# current time
							lowercase_      :   int        =			current_time
							# finished process is in this sequence queue
							lowercase_      :   deque[Process]        =			deque()
	def        lowerCamelCase__		(							self       )						->  list[str]:
							lowercase_      :   List[Any]        =			[]
							for i in range(len(self.finish_queue       )       ):
													sequence.append(self.finish_queue[i].process_name       )
							return sequence
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  list[int]:
							lowercase_      :   Dict        =			[]
							for i in range(len(_lowercase       )       ):
													waiting_times.append(queue[i].waiting_time       )
							return waiting_times
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  list[int]:
							lowercase_      :   Optional[int]        =			[]
							for i in range(len(_lowercase       )       ):
													turnaround_times.append(queue[i].turnaround_time       )
							return turnaround_times
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  list[int]:
							lowercase_      :   int        =			[]
							for i in range(len(_lowercase       )       ):
													completion_times.append(queue[i].stop_time       )
							return completion_times
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  list[int]:
							return [q.burst_time for q in queue]
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  int:
							process.waiting_time += self.current_time - process.stop_time
							return process.waiting_time
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  deque[Process]:
							lowercase_      :   deque[Process]        =			deque()  # sequence deque of finished process
							while len(_lowercase       ) != 0:
													lowercase_      :   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(_lowercase       )
													# update current time
													self.current_time += cp.burst_time
													# finish the process and set the process's burst-time 0
													lowercase_      :   Any        =			0
													# set the process's turnaround time because it is finished
													lowercase_      :   Optional[Any]        =			self.current_time - cp.arrival_time
													# set the completion time
													lowercase_      :   Dict        =			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        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase       )						->  tuple[deque[Process], deque[Process]]:
							lowercase_      :   deque[Process]        =			deque()  # sequence deque of terminated process
							# just for 1 cycle and unfinished processes will go back to queue
							for _ in range(len(_lowercase       )       ):
													lowercase_      :   Dict        =			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
																			lowercase_      :   List[str]        =			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
																			lowercase_      :   Optional[Any]        =			0
																			# set the finish time
																			lowercase_      :   List[str]        =			self.current_time
																			# update the process' turnaround time because it is finished
																			lowercase_      :   str        =			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        lowerCamelCase__		(							self       )						->  deque[Process]:

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

			A:      List[str]  				=				Process("P1", 0, 5_3)
			A:      List[str]  				=				Process("P2", 0, 1_7)
			A:      Dict  				=				Process("P3", 0, 6_8)
			A:      Union[str, Any]  				=				Process("P4", 0, 2_4)
			A:      Any  				=				3
			A:      Optional[Any]  				=				[1_7, 2_5]
			A:      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])})

			A:      Optional[Any]  				=				Process("P1", 0, 5_3)
			A:      Tuple  				=				Process("P2", 0, 1_7)
			A:      Optional[int]  				=				Process("P3", 0, 6_8)
			A:      int  				=				Process("P4", 0, 2_4)
			A:      int  				=				3
			A:      Any  				=				[1_7, 2_5]
			A:      Any  				=				deque([Pa, Pa, Pa, Pa])
			A:      Tuple  				=				MLFQ(number_of_queues, time_slices, queue, 0)
			A:      List[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 argparse


A:      List[Any]  				=				"docs/source/_static/js/custom.js"






def 	_UpperCAmelCase    (  a		:	Optional[Any]							)			->			Optional[Any]:





						"""simple docstring"""
						with open(a						,			encoding='utf-8'						,			newline='\n'							) as f:
												lowercase_      :   List[Any]        =			f.readlines()
						lowercase_      :   Dict        =			0

						# First let's put the right version
						while not lines[index].startswith('const stableVersion ='							):
												index += 1
						lowercase_      :   Dict        =			f"const stableVersion = \"v{version}\"\n"

						# Then update the dictionary
						while not lines[index].startswith('const versionMapping = {'							):
												index += 1

						# We go until the end
						while not lines[index].startswith('}'							):
												index += 1
						# We add the new version at the end
						lines[index - 1] += f"    \"v{version}\": \"v{version}\",\n"

						with open(a						,			'w'						,			encoding='utf-8'						,			newline='\n'							) as f:
												f.writelines(a							)


if __name__ == "__main__":
						A:      str  				=				argparse.ArgumentParser()
						parser.add_argument("--version", help="Release version.")
						A:      List[str]  				=				parser.parse_args()
						update_custom_js(args.version)
