


"""simple docstring"""







from collections import deque




class  UpperCamelCase_	:

	"""simple docstring"""





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




class  UpperCamelCase_	:

	"""simple docstring"""





	def __init__( self			:				List[Any]			,			UpperCAmelCase__			:				int			,			UpperCAmelCase__			:				list[int]			,			UpperCAmelCase__			:				deque[Process]			,			UpperCAmelCase__			:				int			,			)       ->	None:
						__SCREAMING_SNAKE_CASE						   =				number_of_queues
						# time slice of queues that round robin algorithm applied
						__SCREAMING_SNAKE_CASE						   =				time_slices
						# unfinished process is in this ready_queue
						__SCREAMING_SNAKE_CASE						   =				queue
						# current time
						__SCREAMING_SNAKE_CASE						   =				current_time
						# finished process is in this sequence queue
						__SCREAMING_SNAKE_CASE						   =				deque()




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




	def   UpperCAmelCase_      ( self			:				List[Any]			,			UpperCAmelCase__			:				list[Process]   )       ->	list[int]:
						__SCREAMING_SNAKE_CASE						   =				[]
						for i in range(len(lowercase_   )   ):
											waiting_times.append(queue[i].waiting_time   )
						return waiting_times




	def   UpperCAmelCase_      ( self			:				List[Any]			,			UpperCAmelCase__			:				list[Process]   )       ->	list[int]:
						__SCREAMING_SNAKE_CASE						   =				[]
						for i in range(len(lowercase_   )   ):
											turnaround_times.append(queue[i].turnaround_time   )
						return turnaround_times




	def   UpperCAmelCase_      ( self			:				Dict			,			UpperCAmelCase__			:				list[Process]   )       ->	list[int]:
						__SCREAMING_SNAKE_CASE						   =				[]
						for i in range(len(lowercase_   )   ):
											completion_times.append(queue[i].stop_time   )
						return completion_times




	def   UpperCAmelCase_      ( self			:				Dict			,			UpperCAmelCase__			:				deque[Process]   )       ->	list[int]:
						return [q.burst_time for q in queue]




	def   UpperCAmelCase_      ( self			:				List[str]			,			UpperCAmelCase__			:				Process   )       ->	int:
						process.waiting_time += self.current_time - process.stop_time
						return process.waiting_time




	def   UpperCAmelCase_      ( self			:				int			,			UpperCAmelCase__			:				deque[Process]   )       ->	deque[Process]:
						__SCREAMING_SNAKE_CASE						   =				deque()  # sequence deque of finished process
						while len(lowercase_   ) != 0:
											__SCREAMING_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(lowercase_   )
											# update current time
											self.current_time += cp.burst_time
											# finish the process and set the process's burst-time 0
											__SCREAMING_SNAKE_CASE						   =				0
											# set the process's turnaround time because it is finished
											__SCREAMING_SNAKE_CASE						   =				self.current_time - cp.arrival_time
											# set the completion time
											__SCREAMING_SNAKE_CASE						   =				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   UpperCAmelCase_      ( self			:				Tuple			,			UpperCAmelCase__			:				deque[Process]			,			UpperCAmelCase__			:				int   )       ->	tuple[deque[Process], deque[Process]]:
						__SCREAMING_SNAKE_CASE						   =				deque()  # sequence deque of terminated process
						# just for 1 cycle and unfinished processes will go back to queue
						for _ in range(len(lowercase_   )   ):
											__SCREAMING_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(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
																__SCREAMING_SNAKE_CASE						   =				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
																__SCREAMING_SNAKE_CASE						   =				0
																# set the finish time
																__SCREAMING_SNAKE_CASE						   =				self.current_time
																# update the process' turnaround time because it is finished
																__SCREAMING_SNAKE_CASE						   =				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   UpperCAmelCase_      ( self			:				List[Any]   )       ->	deque[Process]:







						for i in range(self.number_of_queues - 1   ):
											__SCREAMING_SNAKE_CASE   ,  __SCREAMING_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

		a__				:							Dict						=     Process('''P1''', 0, 5_3)
		a__				:							Optional[int]						=     Process('''P2''', 0, 1_7)
		a__				:							Optional[int]						=     Process('''P3''', 0, 6_8)
		a__				:							str						=     Process('''P4''', 0, 2_4)
		a__				:							Any						=     3
		a__				:							int						=     [1_7, 2_5]
		a__				:							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__				:							Tuple						=     Process('''P1''', 0, 5_3)
		a__				:							Dict						=     Process('''P2''', 0, 1_7)
		a__				:							Optional[Any]						=     Process('''P3''', 0, 6_8)
		a__				:							Optional[Any]						=     Process('''P4''', 0, 2_4)
		a__				:							Union[str, Any]						=     3
		a__				:							Union[str, Any]						=     [1_7, 2_5]
		a__				:							Union[str, Any]						=     deque([Pa, Pa, Pa, Pa])
		a__				:							List[Any]						=     MLFQ(number_of_queues, time_slices, queue, 0)
		a__				:							List[Any]						=     mlfq.multi_level_feedback_queue()

		# print total waiting times of processes(P1, P2, P3, P4)
		print(
		    F"waiting time:\\n        \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:\\n        \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:\\n        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}"
		)
		# print sequence of finished processes
		print(
		    F"sequence of finished processes:\\n        {mlfq.calculate_sequence_of_finish_queue()}"
		)



def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	Union[str, Any]      )							->      Tuple:





    '''simple docstring'''






    A__          =   0
    A__          =   len(SCREAMING_SNAKE_CASE__      ) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
            return None

        A__          =   sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A__          =   left
                A__          =   point
            elif point > right:
                A__          =   right
                A__          =   point
            else:
                if item < current_item:
                    A__          =   point - 1
                else:
                    A__          =   point + 1
    return None
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]      )							->      str:





    '''simple docstring'''






    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    elif point > right:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point - 1      )
        else:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point + 1    ,			SCREAMING_SNAKE_CASE__      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Tuple      )							->      Tuple:





    '''simple docstring'''






    if collection != sorted(SCREAMING_SNAKE_CASE__      ):
        raise ValueError('Collection must be ascending sorted'      )
    return True


if __name__ == "__main__":
     import sys
     lowercase_       		=  0
     if debug == 1:
          lowercase_       		=  [10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("Sequence must be ascending sorted to apply interpolation search")
          lowercase_       		=  67

     lowercase_       		=  interpolation_search(collection, target)
     if result is not None:
          print(f"""{target} found at positions: {result}""")
     else:
          print("Not found")

