


"""simple docstring"""


from collections import deque
class     _UpperCamelCase    :
							'''simple docstring'''







							def __init__(	self       ,  __a       ,  __a       ,  __a      ):
										__lowerCAmelCase							       =     process_name  # process name
										__lowerCAmelCase							       =     arrival_time  # arrival time of the process
										# completion time of finished process or last interrupted time
										__lowerCAmelCase							       =     arrival_time
										__lowerCAmelCase							       =     burst_time  # remaining burst time
										__lowerCAmelCase							       =     0  # total time of the process wait in ready queue
										__lowerCAmelCase							       =     0  # time from arrival time to completion time
class     _UpperCamelCase    :
							'''simple docstring'''







							def __init__(	self       ,  __a       ,  __a       ,  __a       ,  __a       ,  ):
										# total number of mlfq's queues
										__lowerCAmelCase							       =     number_of_queues
										# time slice of queues that round robin algorithm applied
										__lowerCAmelCase							       =     time_slices
										# unfinished process is in this ready_queue
										__lowerCAmelCase							       =     queue
										# current time
										__lowerCAmelCase							       =     current_time
										# finished process is in this sequence queue
										__lowerCAmelCase							       =     deque()

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     []
										for i in range(len(self.finish_queue      )      ):
													sequence.append(self.finish_queue[i].process_name      )
										return sequence

							def      snake_case							(	self       ,  __a      ):
										__lowerCAmelCase							       =     []
										for i in range(len(__a      )      ):
													waiting_times.append(queue[i].waiting_time      )
										return waiting_times

							def      snake_case							(	self       ,  __a      ):
										__lowerCAmelCase							       =     []
										for i in range(len(__a      )      ):
													turnaround_times.append(queue[i].turnaround_time      )
										return turnaround_times

							def      snake_case							(	self       ,  __a      ):
										__lowerCAmelCase							       =     []
										for i in range(len(__a      )      ):
													completion_times.append(queue[i].stop_time      )
										return completion_times

							def      snake_case							(	self       ,  __a      ):
										return [q.burst_time for q in queue]

							def      snake_case							(	self       ,  __a      ):
										process.waiting_time += self.current_time - process.stop_time
										return process.waiting_time

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

										#  all queues except last one have round_robin algorithm
										for i in range(self.number_of_queues - 1      ):
													__lowerCAmelCase       ,      __lowerCAmelCase							       =     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	:  Optional[Any]            =     Process("P1", 0, 5_3)
	A	:  List[str]            =     Process("P2", 0, 1_7)
	A	:  Tuple            =     Process("P3", 0, 6_8)
	A	:  Union[str, Any]            =     Process("P4", 0, 2_4)
	A	:  Any            =     3
	A	:  Union[str, Any]            =     [1_7, 2_5]
	A	:  Dict            =     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	:  Dict            =     Process("P1", 0, 5_3)
	A	:  Union[str, Any]            =     Process("P2", 0, 1_7)
	A	:  Any            =     Process("P3", 0, 6_8)
	A	:  Any            =     Process("P4", 0, 2_4)
	A	:  List[Any]            =     3
	A	:  int            =     [1_7, 2_5]
	A	:  List[Any]            =     deque([Pa, Pa, Pa, Pa])
	A	:  int            =     MLFQ(number_of_queues, time_slices, queue, 0)
	A	:  Dict            =     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


A	:  Union[str, Any]            =     {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:  Optional[int]            =     [
	    "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "TimesformerModel",
	    "TimesformerForVideoClassification",
	    "TimesformerPreTrainedModel",
	]

if TYPE_CHECKING:
	from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_timesformer import (
		    TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TimesformerForVideoClassification,
		    TimesformerModel,
		    TimesformerPreTrainedModel,
		)

else:
	import sys

	A	:  List[str]            =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




