


"""simple docstring"""


from collections import deque


class 			A__	:


     """simple docstring"""

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


class 			A__	:


     """simple docstring"""

     def __init__(	self:						Dict     ,		__a:						int     ,		__a:						list[int]     ,		__a:						deque[Process]     ,		__a:						int     ,		)->    None:
           # total number of mlfq's queues
           lowerCamelCase					:					int        =	number_of_queues
           # time slice of queues that round robin algorithm applied
           lowerCamelCase					:					Any        =	time_slices
           # unfinished process is in this ready_queue
           lowerCamelCase					:					Dict        =	queue
           # current time
           lowerCamelCase					:					Any        =	current_time
           # finished process is in this sequence queue
           lowerCamelCase					:					deque[Process]        =	deque()

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

     def 		a__						(	self:						Any     ,		__a:						list[Process]	)->    list[int]:
           lowerCamelCase					:					List[str]        =	[]
           for i in range(len(__a	)	):
                 waiting_times.append(queue[i].waiting_time	)
           return waiting_times

     def 		a__						(	self:						Optional[int]     ,		__a:						list[Process]	)->    list[int]:
           lowerCamelCase					:					int        =	[]
           for i in range(len(__a	)	):
                 turnaround_times.append(queue[i].turnaround_time	)
           return turnaround_times

     def 		a__						(	self:						int     ,		__a:						list[Process]	)->    list[int]:
           lowerCamelCase					:					Union[str, Any]        =	[]
           for i in range(len(__a	)	):
                 completion_times.append(queue[i].stop_time	)
           return completion_times

     def 		a__						(	self:						Optional[int]     ,		__a:						deque[Process]	)->    list[int]:
           return [q.burst_time for q in queue]

     def 		a__						(	self:						int     ,		__a:						Process	)->    int:
           process.waiting_time += self.current_time - process.stop_time
           return process.waiting_time

     def 		a__						(	self:						List[Any]     ,		__a:						deque[Process]	)->    deque[Process]:
           lowerCamelCase					:					deque[Process]        =	deque()  # sequence deque of finished process
           while len(__a	) != 0:
                 lowerCamelCase					:					List[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(__a	)
                 # update current time
                 self.current_time += cp.burst_time
                 # finish the process and set the process's burst-time 0
                 lowerCamelCase					:					Any        =	0
                 # set the process's turnaround time because it is finished
                 lowerCamelCase					:					int        =	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(__a	)

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

     def 		a__						(	self:						Optional[int]     ,		__a:						deque[Process]     ,		__a:						int	)->    tuple[deque[Process], deque[Process]]:
           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(__a	)	):
                 lowerCamelCase					:					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(__a	)
                 # 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					:					int        =	self.current_time
                       # locate the process behind the queue because it is not finished
                       ready_queue.append(__a	)
                 else:
                       # use CPU for remaining burst time
                       self.current_time += cp.burst_time
                       # set burst time 0 because the process is finished
                       lowerCamelCase					:					str        =	0
                       # set the finish time
                       lowerCamelCase					:					Dict        =	self.current_time
                       # update the process' turnaround time because it is finished
                       lowerCamelCase					:					int        =	self.current_time - cp.arrival_time
                       # add the process to queue that has finished queue
                       finished.append(__a	)

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







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

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

    __lowerCamelCase      :List[str]	    =		Process('P1', 0, 53)
    __lowerCamelCase      :Optional[Any]	    =		Process('P2', 0, 17)
    __lowerCamelCase      :Tuple	    =		Process('P3', 0, 68)
    __lowerCamelCase      :str	    =		Process('P4', 0, 24)
    __lowerCamelCase      :Union[str, Any]	    =		3
    __lowerCamelCase      :Dict	    =		[17, 25]
    __lowerCamelCase      :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])})

    __lowerCamelCase      :str	    =		Process('P1', 0, 53)
    __lowerCamelCase      :Tuple	    =		Process('P2', 0, 17)
    __lowerCamelCase      :List[str]	    =		Process('P3', 0, 68)
    __lowerCamelCase      :int	    =		Process('P4', 0, 24)
    __lowerCamelCase      :Dict	    =		3
    __lowerCamelCase      :Dict	    =		[17, 25]
    __lowerCamelCase      :Any	    =		deque([Pa, Pa, Pa, Pa])
    __lowerCamelCase      :Optional[Any]	    =		MLFQ(number_of_queues, time_slices, queue, 0)
    __lowerCamelCase      :Tuple	    =		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

import math




def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						int    )   ->      float:
      lowerCamelCase					:					Dict        =	u
      for i in range(1			,				UpperCamelCase__    ):
            lowerCamelCase					:					List[str]        =	temp * (u - i)
      return temp




def   snake_case		(     )   ->      None:
      lowerCamelCase					:					List[Any]        =	int(input("""enter the numbers of values: """    )    )
      lowerCamelCase					:					list[list[float]]        =	[]
      for _ in range(UpperCamelCase__    ):
            y.append([]    )
      for i in range(UpperCamelCase__    ):
            for j in range(UpperCamelCase__    ):
                  y[i].append(UpperCamelCase__    )
                  lowerCamelCase					:					Union[str, Any]        =	0

      print("""enter the values of parameters in a list: """    )
      lowerCamelCase					:					Any        =	list(map(UpperCamelCase__			,				input().split()    )    )

      print("""enter the values of corresponding parameters: """    )
      for i in range(UpperCamelCase__    ):
            lowerCamelCase					:					int        =	float(input()    )

      lowerCamelCase					:					Dict        =	int(input("""enter the value to interpolate: """    )    )
      lowerCamelCase					:					List[Any]        =	(value - x[0]) / (x[1] - x[0])

      # for calculating forward difference table

      for i in range(1			,				UpperCamelCase__    ):
            for j in range(n - i    ):
                  lowerCamelCase					:					str        =	y[j + 1][i - 1] - y[j][i - 1]

      lowerCamelCase					:					Any        =	y[0][0]
      for i in range(1			,				UpperCamelCase__    ):
            summ += (ucal(UpperCamelCase__			,				UpperCamelCase__    ) * y[0][i]) / math.factorial(UpperCamelCase__    )

      print(F'the value at {value} is {summ}'    )


if __name__ == "__main__":
    main()




