





'''simple docstring'''

from collections import deque





class lowerCamelCase						:







  def __init__(		self     ,     lowercase__     ,     lowercase__     ,     lowercase__		)		->						None:






        """simple docstring"""





        _snake_case		:	int					     =     process_name  # process name
        _snake_case		:	Any					     =     arrival_time  # arrival time of the process
        # completion time of finished process or last interrupted time
        _snake_case		:	Any					     =     arrival_time
        _snake_case		:	str					     =     burst_time  # remaining burst time
        _snake_case		:	Dict					     =     0  # total time of the process wait in ready queue
        _snake_case		:	int					     =     0  # time from arrival time to completion time





class lowerCamelCase						:







  def __init__(		self     ,     lowercase__     ,     lowercase__     ,     lowercase__     ,     lowercase__     ,     )		->						None:






        """simple docstring"""





        _snake_case		:	Union[str, Any]					     =     number_of_queues
        # time slice of queues that round robin algorithm applied
        _snake_case		:	Optional[int]					     =     time_slices
        # unfinished process is in this ready_queue
        _snake_case		:	List[Any]					     =     queue
        # current time
        _snake_case		:	Any					     =     current_time
        # finished process is in this sequence queue
        _snake_case		:	deque[Process]					     =     deque()







  def 				UpperCAmelCase_				(		self		)		->						list[str]:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						list[int]:






        """simple docstring"""





        _snake_case		:	Union[str, Any]					     =     []
        for i in range(len(lowercase__		)		):
              waiting_times.append(queue[i].waiting_time		)
        return waiting_times







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						list[int]:






        """simple docstring"""





        _snake_case		:	List[str]					     =     []
        for i in range(len(lowercase__		)		):
              turnaround_times.append(queue[i].turnaround_time		)
        return turnaround_times







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						list[int]:






        """simple docstring"""





        _snake_case		:	Any					     =     []
        for i in range(len(lowercase__		)		):
              completion_times.append(queue[i].stop_time		)
        return completion_times







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						list[int]:






        """simple docstring"""





        return [q.burst_time for q in queue]







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						int:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						deque[Process]:






        """simple docstring"""





        _snake_case		:	deque[Process]					     =     deque()  # sequence deque of finished process
        while len(lowercase__		) != 0:
              _snake_case		:	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 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
              _snake_case		:	Tuple					     =     0
              # set the process's turnaround time because it is finished
              _snake_case		:	Union[str, Any]					     =     self.current_time - cp.arrival_time
              # set the completion time
              _snake_case		:	Tuple					     =     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     ,     lowercase__     ,     lowercase__		)		->						tuple[deque[Process], deque[Process]]:






        """simple docstring"""





        _snake_case		:	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__		)		):
              _snake_case		:	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 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
                    _snake_case		:	Union[str, Any]					     =     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
                    _snake_case		:	Optional[Any]					     =     0
                    # set the finish time
                    _snake_case		:	Tuple					     =     self.current_time
                    # update the process' turnaround time because it is finished
                    _snake_case		:	Union[str, Any]					     =     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		)		->						deque[Process]:






        """simple docstring"""





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

   UpperCAmelCase					:		Any		=							Process('P1', 0, 5_3)
   UpperCAmelCase					:		int		=							Process('P2', 0, 1_7)
   UpperCAmelCase					:		List[Any]		=							Process('P3', 0, 6_8)
   UpperCAmelCase					:		str		=							Process('P4', 0, 2_4)
   UpperCAmelCase					:		int		=							3
   UpperCAmelCase					:		List[Any]		=							[1_7, 2_5]
   UpperCAmelCase					:		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])})

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

from random import randint
from tempfile import TemporaryFile

import numpy as np




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	List[Any]					     =     0
      if start < end:
            _snake_case		:	List[Any]					     =     randint(lowerCAmelCase_			,      lowerCAmelCase_	)
            _snake_case		:	Any					     =     a[end]
            _snake_case		:	List[str]					     =     a[pivot]
            _snake_case		:	Optional[int]					     =     temp

            _snake_case     ,							_snake_case		:	List[Any]					     =     _in_place_partition(lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	)
            count += _in_place_quick_sort(lowerCAmelCase_			,      lowerCAmelCase_			,      p - 1	)
            count += _in_place_quick_sort(lowerCAmelCase_			,      p + 1			,      lowerCAmelCase_	)
      return count




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Optional[Any]					     =     0
      _snake_case		:	Optional[int]					     =     randint(lowerCAmelCase_			,      lowerCAmelCase_	)
      _snake_case		:	Tuple					     =     a[end]
      _snake_case		:	Optional[Any]					     =     a[pivot]
      _snake_case		:	Union[str, Any]					     =     temp
      _snake_case		:	Union[str, Any]					     =     start - 1
      for index in range(lowerCAmelCase_			,      lowerCAmelCase_	):
            count += 1
            if a[index] < a[end]:  # check if current val is less than pivot value
                  _snake_case		:	Optional[int]					     =     new_pivot_index + 1
                  _snake_case		:	Optional[Any]					     =     a[new_pivot_index]
                  _snake_case		:	Tuple					     =     a[index]
                  _snake_case		:	str					     =     temp

      _snake_case		:	Any					     =     a[new_pivot_index + 1]
      _snake_case		:	str					     =     a[end]
      _snake_case		:	Optional[int]					     =     temp
      return new_pivot_index + 1, count


UpperCAmelCase					:		Dict		=							TemporaryFile()
UpperCAmelCase					:		Dict		=							1_0_0  # 1000 elements are to be sorted


UpperCAmelCase,       UpperCAmelCase					:		str		=							0, 1  # mean and standard deviation
UpperCAmelCase					:		Optional[Any]		=							np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('The array is')
print(X)


outfile.seek(0)  # using the same array
UpperCAmelCase					:		int		=							np.load(outfile)
UpperCAmelCase					:		Optional[int]		=							len(M) - 1
UpperCAmelCase					:		str		=							_in_place_quick_sort(M, 0, r)

print(
    'No of Comparisons for 100 elements selected from a standard normal distribution'
    'is :'
)
print(z)


