from collections import deque
class   _lowerCAmelCase		:







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


class   _lowerCAmelCase		:







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







							def 				snake_case  (				self     :    str		):
										lowerCamelCase						:Union[str, Any]						  =     []
										for i in range(len(self.finish_queue		)		):
													sequence.append(self.finish_queue[i].process_name		)
										return sequence







							def 				snake_case  (				self     :    List[str]	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:str						  =     []
										for i in range(len(__snake_case		)		):
													waiting_times.append(queue[i].waiting_time		)
										return waiting_times







							def 				snake_case  (				self     :    Union[str, Any]	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:Optional[Any]						  =     []
										for i in range(len(__snake_case		)		):
													turnaround_times.append(queue[i].turnaround_time		)
										return turnaround_times







							def 				snake_case  (				self     :    Any	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:List[str]						  =     []
										for i in range(len(__snake_case		)		):
													completion_times.append(queue[i].stop_time		)
										return completion_times







							def 				snake_case  (				self     :    int	,					__snake_case     :    deque[Process]		):
										return [q.burst_time for q in queue]







							def 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    Process		):
										process.waiting_time += self.current_time - process.stop_time
										return process.waiting_time







							def 				snake_case  (				self     :    List[str]	,					__snake_case     :    deque[Process]		):
										lowerCamelCase						:deque[Process]						  =     deque()  # sequence deque of finished process
										while len(__snake_case		) != 0:
													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 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
													lowerCamelCase						:Dict						  =     0
													# set the process's turnaround time because it is finished
													lowerCamelCase						:Any						  =     self.current_time - cp.arrival_time
													# set the completion time
													lowerCamelCase						:Dict						  =     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 				snake_case  (				self     :    Tuple	,					__snake_case     :    deque[Process]	,					__snake_case     :    int		):
										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(__snake_case		)		):
													lowerCamelCase						:List[str]						  =     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
																lowerCamelCase						:List[Any]						  =     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
																lowerCamelCase						:Optional[Any]						  =     0
																# set the finish time
																lowerCamelCase						:Optional[int]						  =     self.current_time
																# update the process' turnaround time because it is finished
																lowerCamelCase						:Tuple						  =     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 				snake_case  (				self     :    str		):

										#  all queues except last one have round_robin algorithm
										for i in range(self.number_of_queues - 1		):
													lowerCamelCase						:Union[str, Any]						  =     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__           =							Process("""P1""", 0, 53)
							A__           =							Process("""P2""", 0, 17)
							A__           =							Process("""P3""", 0, 68)
							A__           =							Process("""P4""", 0, 24)
							A__           =							3
							A__           =							[17, 25]
							A__           =							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__           =							Process("""P1""", 0, 53)
							A__           =							Process("""P2""", 0, 17)
							A__           =							Process("""P3""", 0, 68)
							A__           =							Process("""P4""", 0, 24)
							A__           =							3
							A__           =							[17, 25]
							A__           =							deque([Pa, Pa, Pa, Pa])
							A__           =							MLFQ(number_of_queues, time_slices, queue, 0)
							A__           =							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 maths.prime_factors import prime_factors





def  _lowerCamelCase					(   a_				: int):
			if not isinstance(a_						,			a_):
						lowerCamelCase						:Tuple						  =     F"Input value of [number={number}] must be an integer"
						raise TypeError(a_)
			if number < 1:
						raise ValueError('''Input must be a positive integer''')
			return -1 if len(prime_factors(a_)) % 2 else 1


if __name__ == "__main__":
			import doctest

			doctest.testmod()



