


from collections import deque


class      __lowerCAmelCase  :






  """simple docstring"""





  def __init__(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							Union[str, Any]     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Optional[int]	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       process_name  # process name
     snake_case_            =       arrival_time  # arrival time of the process
     # completion time of finished process or last interrupted time
     snake_case_            =       arrival_time
     snake_case_            =       burst_time  # remaining burst time
     snake_case_            =       0  # total time of the process wait in ready queue
     snake_case_            =       0  # time from arrival time to completion time






class      __lowerCAmelCase  :






  """simple docstring"""





  def __init__(  self							:							Tuple     ,					_lowerCAmelCase							:							Tuple     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							Optional[int]     ,					) ->			List[Any]:




     """simple docstring"""
     snake_case_            =       number_of_queues
     # time slice of queues that round robin algorithm applied
     snake_case_            =       time_slices
     # unfinished process is in this ready_queue
     snake_case_            =       queue
     # current time
     snake_case_            =       current_time
     # finished process is in this sequence queue
     snake_case_            =       deque()



  def        lowerCAmelCase__	(  self							:							str	) ->			Optional[int]:




     """simple docstring"""
     snake_case_            =       []
     for i in range(len(self.finish_queue	)	):
        sequence.append(self.finish_queue[i].process_name	)
     return sequence



  def        lowerCAmelCase__	(  self							:							Dict     ,					_lowerCAmelCase							:							Tuple	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       []
     for i in range(len(__UpperCamelCase	)	):
        waiting_times.append(queue[i].waiting_time	)
     return waiting_times



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							Optional[int]	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       []
     for i in range(len(__UpperCamelCase	)	):
        turnaround_times.append(queue[i].turnaround_time	)
     return turnaround_times



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Optional[Any]	) ->			int:




     """simple docstring"""
     snake_case_            =       []
     for i in range(len(__UpperCamelCase	)	):
        completion_times.append(queue[i].stop_time	)
     return completion_times



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							Union[str, Any]	) ->			int:




     """simple docstring"""
     return [q.burst_time for q in queue]



  def        lowerCAmelCase__	(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							int	) ->			Union[str, Any]:




     """simple docstring"""
     process.waiting_time += self.current_time - process.stop_time
     return process.waiting_time



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							Optional[Any]	) ->			List[Any]:




     """simple docstring"""
     snake_case_            =       deque()  # sequence deque of finished process
     while len(__UpperCamelCase	) != 0:
        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(__UpperCamelCase	)
        # update current time
        self.current_time += cp.burst_time
        # finish the process and set the process's burst-time 0
        snake_case_            =       0
        # set the process's turnaround time because it is finished
        snake_case_            =       self.current_time - cp.arrival_time
        # set the completion time
        snake_case_            =       self.current_time
        # add the process to queue that has finished queue
        finished.append(__UpperCamelCase	)

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



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							Optional[int]     ,					_lowerCAmelCase							:							Optional[int]	) ->			Optional[int]:




     """simple docstring"""
     snake_case_            =       deque()  # sequence deque of terminated process
     # just for 1 cycle and unfinished processes will go back to queue
     for _ in range(len(__UpperCamelCase	)	):
        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(__UpperCamelCase	)
        # 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_            =       self.current_time
           # locate the process behind the queue because it is not finished
           ready_queue.append(__UpperCamelCase	)
        else:
           # use CPU for remaining burst time
           self.current_time += cp.burst_time
           # set burst time 0 because the process is finished
           snake_case_            =       0
           # set the finish time
           snake_case_            =       self.current_time
           # update the process' turnaround time because it is finished
           snake_case_            =       self.current_time - cp.arrival_time
           # add the process to queue that has finished queue
           finished.append(__UpperCamelCase	)

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



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			List[str]:




     """simple docstring"""


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

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







A									=  [
    'Audio',
    'Array2D',
    'Array3D',
    'Array4D',
    'Array5D',
    'ClassLabel',
    'Features',
    'Sequence',
    'Value',
    'Image',
    'Translation',
    'TranslationVariableLanguages',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages
