from collections import deque






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






class 		_lowerCamelCase		:
    def __init__(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase , )       ->					None:
     # total number of mlfq's queues
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      number_of_queues
     # time slice of queues that round robin algorithm applied
     SCREAMING_SNAKE_CASE__:   Optional[int]=      time_slices
     # unfinished process is in this ready_queue
     SCREAMING_SNAKE_CASE__:   List[str]=      queue
     # current time
     SCREAMING_SNAKE_CASE__:   List[Any]=      current_time
     # finished process is in this sequence queue
     SCREAMING_SNAKE_CASE__:   deque[Process]=      deque()
    def 						UpperCamelCase_				(  self   )       ->					list[str]:
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      []
     for i in range(len(self.finish_queue   )   ):
      sequence.append(self.finish_queue[i].process_name   )
     return sequence
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					list[int]:
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      []
     for i in range(len(lowerCAmelCase   )   ):
      waiting_times.append(queue[i].waiting_time   )
     return waiting_times
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					list[int]:
     SCREAMING_SNAKE_CASE__:   Tuple=      []
     for i in range(len(lowerCAmelCase   )   ):
      turnaround_times.append(queue[i].turnaround_time   )
     return turnaround_times
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					list[int]:
     SCREAMING_SNAKE_CASE__:   str=      []
     for i in range(len(lowerCAmelCase   )   ):
      completion_times.append(queue[i].stop_time   )
     return completion_times
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					list[int]:
     return [q.burst_time for q in queue]
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					int:
     process.waiting_time += self.current_time - process.stop_time
     return process.waiting_time
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					deque[Process]:
     SCREAMING_SNAKE_CASE__:   deque[Process]=      deque()  # sequence deque of finished process
     while len(lowerCAmelCase   ) != 0:
      SCREAMING_SNAKE_CASE__:   Optional[int]=      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(lowerCAmelCase   )
      # update current time
      self.current_time += cp.burst_time
      # finish the process and set the process's burst-time 0
      SCREAMING_SNAKE_CASE__:   List[Any]=      0
      # set the process's turnaround time because it is finished
      SCREAMING_SNAKE_CASE__:   List[str]=      self.current_time - cp.arrival_time
      # set the completion time
      SCREAMING_SNAKE_CASE__:   Tuple=      self.current_time
      # add the process to queue that has finished queue
      finished.append(lowerCAmelCase   )

     self.finish_queue.extend(lowerCAmelCase   )  # add finished process to finish queue
     # FCFS will finish all remaining processes
     return finished
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase   )       ->					tuple[deque[Process], deque[Process]]:
     SCREAMING_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(lowerCAmelCase   )   ):
      SCREAMING_SNAKE_CASE__:   Tuple=      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(lowerCAmelCase   )
      # 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__:   List[str]=      self.current_time
       # locate the process behind the queue because it is not finished
       ready_queue.append(lowerCAmelCase   )
      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__:   str=      0
       # set the finish time
       SCREAMING_SNAKE_CASE__:   Tuple=      self.current_time
       # update the process' turnaround time because it is finished
       SCREAMING_SNAKE_CASE__:   str=      self.current_time - cp.arrival_time
       # add the process to queue that has finished queue
       finished.append(lowerCAmelCase   )

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



    def 						UpperCamelCase_				(  self   )       ->					deque[Process]:

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

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

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


from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_     :   Dict 				=				{
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_     :   str 				=				[
          'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
          'AutoformerForPrediction',
          'AutoformerModel',
          'AutoformerPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_autoformer import (
          AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          AutoformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_autoformer import (
                AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                AutoformerForPrediction,
                AutoformerModel,
                AutoformerPreTrainedModel,
            )

else:
      import sys

      lowercase_     :   Tuple 				=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

