from collections import deque
class   _lowerCAmelCase		:







							def __init__(				self     :    Union[str, Any]	,					__snake_case     :    str	,					__snake_case     :    int	,					__snake_case     :    int		):
										lowerCamelCase						:List[Any]						  =     process_name  # process name
										lowerCamelCase						:int						  =     arrival_time  # arrival time of the process
										# completion time of finished process or last interrupted time
										lowerCamelCase						:int						  =     arrival_time
										lowerCamelCase						:int						  =     burst_time  # remaining burst time
										lowerCamelCase						:Tuple						  =     0  # total time of the process wait in ready queue
										lowerCamelCase						:Any						  =     0  # time from arrival time to completion time


class   _lowerCAmelCase		:







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







							def 				snake_case  (				self     :    str		):
										lowerCamelCase						:Union[str, Any]						  =     []
										for i in range(len(self.finish_queue		)		):
													sequence.append(self.finish_queue[i].process_name		)
										return sequence







							def 				snake_case  (				self     :    List[str]	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:str						  =     []
										for i in range(len(__snake_case		)		):
													waiting_times.append(queue[i].waiting_time		)
										return waiting_times







							def 				snake_case  (				self     :    Union[str, Any]	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:Optional[Any]						  =     []
										for i in range(len(__snake_case		)		):
													turnaround_times.append(queue[i].turnaround_time		)
										return turnaround_times







							def 				snake_case  (				self     :    Any	,					__snake_case     :    list[Process]		):
										lowerCamelCase						:List[str]						  =     []
										for i in range(len(__snake_case		)		):
													completion_times.append(queue[i].stop_time		)
										return completion_times







							def 				snake_case  (				self     :    int	,					__snake_case     :    deque[Process]		):
										return [q.burst_time for q in queue]







							def 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    Process		):
										process.waiting_time += self.current_time - process.stop_time
										return process.waiting_time







							def 				snake_case  (				self     :    List[str]	,					__snake_case     :    deque[Process]		):
										lowerCamelCase						:deque[Process]						  =     deque()  # sequence deque of finished process
										while len(__snake_case		) != 0:
													lowerCamelCase						: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 current process
													self.update_waiting_time(__snake_case		)
													# update current time
													self.current_time += cp.burst_time
													# finish the process and set the process's burst-time 0
													lowerCamelCase						:Dict						  =     0
													# set the process's turnaround time because it is finished
													lowerCamelCase						:Any						  =     self.current_time - cp.arrival_time
													# set the completion time
													lowerCamelCase						:Dict						  =     self.current_time
													# add the process to queue that has finished queue
													finished.append(__snake_case		)

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







							def 				snake_case  (				self     :    Tuple	,					__snake_case     :    deque[Process]	,					__snake_case     :    int		):
										lowerCamelCase						:deque[Process]						  =     deque()  # sequence deque of terminated process
										# just for 1 cycle and unfinished processes will go back to queue
										for _ in range(len(__snake_case		)		):
													lowerCamelCase						:List[str]						  =     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(__snake_case		)
													# 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						:List[Any]						  =     self.current_time
																# locate the process behind the queue because it is not finished
																ready_queue.append(__snake_case		)
													else:
																# use CPU for remaining burst time
																self.current_time += cp.burst_time
																# set burst time 0 because the process is finished
																lowerCamelCase						:Optional[Any]						  =     0
																# set the finish time
																lowerCamelCase						:Optional[int]						  =     self.current_time
																# update the process' turnaround time because it is finished
																lowerCamelCase						:Tuple						  =     self.current_time - cp.arrival_time
																# add the process to queue that has finished queue
																finished.append(__snake_case		)

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







							def 				snake_case  (				self     :    str		):

										#  all queues except last one have round_robin algorithm
										for i in range(self.number_of_queues - 1		):
													lowerCamelCase  ,    lowerCamelCase						:Union[str, Any]						  =     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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__           =							logging.get_logger(__name__)

A__           =							{
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     'roberta-prelayernorm'







							def __init__(				self     :    str	,					__snake_case     :    List[str]=50265	,					__snake_case     :    Union[str, Any]=768	,					__snake_case     :    Tuple=12	,					__snake_case     :    int=12	,					__snake_case     :    Any=3072	,					__snake_case     :    Optional[int]="gelu"	,					__snake_case     :    List[Any]=0.1	,					__snake_case     :    int=0.1	,					__snake_case     :    Union[str, Any]=512	,					__snake_case     :    Dict=2	,					__snake_case     :    int=0.0_2	,					__snake_case     :    Any=1e-1_2	,					__snake_case     :    Optional[int]=1	,					__snake_case     :    Dict=0	,					__snake_case     :    Optional[int]=2	,					__snake_case     :    Any="absolute"	,					__snake_case     :    Union[str, Any]=True	,					__snake_case     :    List[str]=None	,					**__snake_case     :    Optional[int]	,					):
										super().__init__(pad_token_id=__snake_case	,					bos_token_id=__snake_case	,					eos_token_id=__snake_case	,					**__snake_case		)

										lowerCamelCase						:Optional[int]						  =     vocab_size
										lowerCamelCase						:Dict						  =     hidden_size
										lowerCamelCase						:Tuple						  =     num_hidden_layers
										lowerCamelCase						:Optional[int]						  =     num_attention_heads
										lowerCamelCase						:Any						  =     hidden_act
										lowerCamelCase						:List[Any]						  =     intermediate_size
										lowerCamelCase						:Union[str, Any]						  =     hidden_dropout_prob
										lowerCamelCase						:str						  =     attention_probs_dropout_prob
										lowerCamelCase						:Tuple						  =     max_position_embeddings
										lowerCamelCase						:int						  =     type_vocab_size
										lowerCamelCase						:Optional[Any]						  =     initializer_range
										lowerCamelCase						:Union[str, Any]						  =     layer_norm_eps
										lowerCamelCase						:Dict						  =     position_embedding_type
										lowerCamelCase						:List[Any]						  =     use_cache
										lowerCamelCase						:Optional[int]						  =     classifier_dropout


class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):







							@property
							def 				snake_case  (				self     :    Any		):
										if self.task == "multiple-choice":
													lowerCamelCase						:Optional[Any]						  =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
										else:
													lowerCamelCase						:List[str]						  =     {0: '''batch''', 1: '''sequence'''}
										return OrderedDict(
										    [
										        ('''input_ids''', dynamic_axis),
										        ('''attention_mask''', dynamic_axis),
										    ]		)



