

from collections import deque


class SCREAMING_SNAKE_CASE	:






			"""simple docstring"""




			def __init__(     self			,					__UpperCamelCase			,					__UpperCamelCase			,					__UpperCamelCase				):

				"""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 SCREAMING_SNAKE_CASE	:






			"""simple docstring"""




			def __init__(     self			,					__UpperCamelCase			,					__UpperCamelCase			,					__UpperCamelCase			,					__UpperCamelCase			,					):

				"""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				):

				"""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			,					__UpperCamelCase				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				return [q.burst_time for q in queue]


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""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			,					__UpperCamelCase			,					__UpperCamelCase				):

				"""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				):

				"""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

		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()}"""
		)



from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


A									=  logging.get_logger(__name__)

A									=  'T5Config'


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig
