
from collections import deque
class 	A__   :





							def __init__( self  :   List[str]     , _UpperCAmelCase  :   str     , _UpperCAmelCase  :   int     , _UpperCAmelCase  :   int				)						->		None:



											"""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__   :





							def __init__( self  :   List[Any]     , _UpperCAmelCase  :   int     , _UpperCAmelCase  :   list[int]     , _UpperCAmelCase  :   deque[Process]     , _UpperCAmelCase  :   int     , )						->		None:



											"""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 			a__ ( self  :   Dict				)						->		list[str]:



											"""simple docstring"""


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





							def 			a__ ( self  :   int     , _UpperCAmelCase  :   list[Process]				)						->		list[int]:



											"""simple docstring"""


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





							def 			a__ ( self  :   Optional[int]     , _UpperCAmelCase  :   list[Process]				)						->		list[int]:



											"""simple docstring"""


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





							def 			a__ ( self  :   Union[str, Any]     , _UpperCAmelCase  :   list[Process]				)						->		list[int]:



											"""simple docstring"""


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





							def 			a__ ( self  :   Dict     , _UpperCAmelCase  :   deque[Process]				)						->		list[int]:



											"""simple docstring"""


											return [q.burst_time for q in queue]





							def 			a__ ( self  :   Optional[Any]     , _UpperCAmelCase  :   Process				)						->		int:



											"""simple docstring"""


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





							def 			a__ ( self  :   int     , _UpperCAmelCase  :   deque[Process]				)						->		deque[Process]:



											"""simple docstring"""


											__lowercase								=					deque()  # sequence deque of finished process
											while len(__SCREAMING_SNAKE_CASE				) != 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(__SCREAMING_SNAKE_CASE				)
															# 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(__SCREAMING_SNAKE_CASE				)

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





							def 			a__ ( self  :   int     , _UpperCAmelCase  :   deque[Process]     , _UpperCAmelCase  :   int				)						->		tuple[deque[Process], deque[Process]]:



											"""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(__SCREAMING_SNAKE_CASE				)				):
															__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(__SCREAMING_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
																			__lowercase								=					self.current_time
																			# locate the process behind the queue because it is not finished
																			ready_queue.append(__SCREAMING_SNAKE_CASE				)
															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(__SCREAMING_SNAKE_CASE				)

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





							def 			a__ ( self  :   Dict				)						->		deque[Process]:



											"""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

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

							SCREAMING_SNAKE_CASE__							=				Process("""P1""", 0, 53)
							SCREAMING_SNAKE_CASE__							=				Process("""P2""", 0, 17)
							SCREAMING_SNAKE_CASE__							=				Process("""P3""", 0, 68)
							SCREAMING_SNAKE_CASE__							=				Process("""P4""", 0, 24)
							SCREAMING_SNAKE_CASE__							=				3
							SCREAMING_SNAKE_CASE__							=				[17, 25]
							SCREAMING_SNAKE_CASE__							=				deque([Pa, Pa, Pa, Pa])
							SCREAMING_SNAKE_CASE__							=				MLFQ(number_of_queues, time_slices, queue, 0)
							SCREAMING_SNAKE_CASE__							=				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'''



from __future__ import annotations







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     if len(a__						) == 0:
          raise ValueError("""find_max() arg is an empty sequence"""						)
     if (
         left >= len(a__						)
         or left < -len(a__						)
         or right >= len(a__						)
         or right < -len(a__						)
     ):
          raise IndexError("""list index out of range"""						)
     if left == right:
          return nums[left]
     __SCREAMING_SNAKE_CASE     =      (left + right) >> 1  # the middle
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    a__      ,    a__						)  # find max in range[left, mid]
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    mid + 1      ,    a__						)  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)






