




"""simple docstring"""

from collections import deque





class 							lowercase_			:



 '''simple docstring'''

 def __init__(					self			:			Dict       ,				_UpperCAmelCase			:			str       ,				_UpperCAmelCase			:			int       ,				_UpperCAmelCase			:			int						):
       _A     =  process_name  # process name
       _A     =  arrival_time  # arrival time of the process
       # completion time of finished process or last interrupted time
       _A     =  arrival_time
       _A     =  burst_time  # remaining burst time
       _A     =  0  # total time of the process wait in ready queue
       _A     =  0  # time from arrival time to completion time





class 							lowercase_			:



 '''simple docstring'''

 def __init__(					self			:			Dict       ,				_UpperCAmelCase			:			int       ,				_UpperCAmelCase			:			list[int]       ,				_UpperCAmelCase			:			deque[Process]       ,				_UpperCAmelCase			:			int       ,				):
       # total number of mlfq's queues
       _A     =  number_of_queues
       # time slice of queues that round robin algorithm applied
       _A     =  time_slices
       # unfinished process is in this ready_queue
       _A     =  queue
       # current time
       _A     =  current_time
       # finished process is in this sequence queue
       _A     =  deque()

 def      lowerCAmelCase_				(					self			:			Any						):
       _A     =  []
       for i in range(len(self.finish_queue						)						):
             sequence.append(self.finish_queue[i].process_name						)
       return sequence

 def      lowerCAmelCase_				(					self			:			Optional[int]       ,				_UpperCAmelCase			:			list[Process]						):
       _A     =  []
       for i in range(len(_UpperCAmelCase						)						):
             waiting_times.append(queue[i].waiting_time						)
       return waiting_times

 def      lowerCAmelCase_				(					self			:			int       ,				_UpperCAmelCase			:			list[Process]						):
       _A     =  []
       for i in range(len(_UpperCAmelCase						)						):
             turnaround_times.append(queue[i].turnaround_time						)
       return turnaround_times

 def      lowerCAmelCase_				(					self			:			Dict       ,				_UpperCAmelCase			:			list[Process]						):
       _A     =  []
       for i in range(len(_UpperCAmelCase						)						):
             completion_times.append(queue[i].stop_time						)
       return completion_times

 def      lowerCAmelCase_				(					self			:			Tuple       ,				_UpperCAmelCase			:			deque[Process]						):
       return [q.burst_time for q in queue]

 def      lowerCAmelCase_				(					self			:			List[str]       ,				_UpperCAmelCase			:			Process						):
       process.waiting_time += self.current_time - process.stop_time
       return process.waiting_time

 def      lowerCAmelCase_				(					self			:			str       ,				_UpperCAmelCase			:			deque[Process]						):
       _A     =  deque()  # sequence deque of finished process
       while len(_UpperCAmelCase						) != 0:
             _A     =  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
             _A     =  0
             # set the process's turnaround time because it is finished
             _A     =  self.current_time - cp.arrival_time
             # set the completion time
             _A     =  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			:			Tuple       ,				_UpperCAmelCase			:			deque[Process]       ,				_UpperCAmelCase			:			int						):
       _A     =  deque()  # sequence deque of terminated process
       # just for 1 cycle and unfinished processes will go back to queue
       for _ in range(len(_UpperCAmelCase						)						):
             _A     =  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
                   _A     =  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
                   _A     =  0
                   # set the finish time
                   _A     =  self.current_time
                   # update the process' turnaround time because it is finished
                   _A     =  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			:			Tuple						):

       #  all queues except last one have round_robin algorithm
       for i in range(self.number_of_queues - 1						):
             _A  ,       _A     =  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							      =     Process('''P1''', 0, 53)
       a							      =     Process('''P2''', 0, 17)
       a							      =     Process('''P3''', 0, 68)
       a							      =     Process('''P4''', 0, 24)
       a							      =     3
       a							      =     [17, 25]
       a							      =     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							      =     Process('''P1''', 0, 53)
       a							      =     Process('''P2''', 0, 17)
       a							      =     Process('''P3''', 0, 68)
       a							      =     Process('''P4''', 0, 24)
       a							      =     3
       a							      =     [17, 25]
       a							      =     deque([Pa, Pa, Pa, Pa])
       a							      =     MLFQ(number_of_queues, time_slices, queue, 0)
       a							      =     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 typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase   : Dict             =				{"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase   : int             =				[
					    """VAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """VanForImageClassification""",
					    """VanModel""",
					    """VanPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_van import (
										    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    VanForImageClassification,
										    VanModel,
										    VanPreTrainedModel,
										)

else:
					import sys

					lowerCAmelCase   : Tuple             =				_LazyModule(__name__, globals()["""__file__"""], _import_structure)


