
'''simple docstring'''






from collections import deque




class     __snake_case		:
					def __init__(     self,    A,    A,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= process_name  # process name
									lowerCamelCase					:			Tuple									= arrival_time  # arrival time of the process
									# completion time of finished process or last interrupted time
									lowerCamelCase					:			Any									= arrival_time
									lowerCamelCase					:			Dict									= burst_time  # remaining burst time
									lowerCamelCase					:			int									= 0  # total time of the process wait in ready queue
									lowerCamelCase					:			str									= 0  # time from arrival time to completion time





class     __snake_case		:
					def __init__(     self,    A,    A,    A,    A,    ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= number_of_queues
									# time slice of queues that round robin algorithm applied
									lowerCamelCase					:			Optional[int]									= time_slices
									# unfinished process is in this ready_queue
									lowerCamelCase					:			List[str]									= queue
									# current time
									lowerCamelCase					:			List[Any]									= current_time
									# finished process is in this sequence queue
									lowerCamelCase					:			deque[Process]									= deque()
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for i in range(len(self.finish_queue      )      ):
													sequence.append(self.finish_queue[i].process_name      )
									return sequence
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= []
									for i in range(len(A      )      ):
													waiting_times.append(queue[i].waiting_time      )
									return waiting_times
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= []
									for i in range(len(A      )      ):
													turnaround_times.append(queue[i].turnaround_time      )
									return turnaround_times
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= []
									for i in range(len(A      )      ):
													completion_times.append(queue[i].stop_time      )
									return completion_times
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return [q.burst_time for q in queue]
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									process.waiting_time += self.current_time - process.stop_time
									return process.waiting_time
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			deque[Process]									= deque()  # sequence deque of finished process
									while len(A      ) != 0:
													lowerCamelCase					:			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(A      )
													# update current time
													self.current_time += cp.burst_time
													# finish the process and set the process's burst-time 0
													lowerCamelCase					:			List[Any]									= 0
													# set the process's turnaround time because it is finished
													lowerCamelCase					:			List[str]									= self.current_time - cp.arrival_time
													# set the completion time
													lowerCamelCase					:			Tuple									= 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     UpperCAmelCase_							(     self,    A,    A      ):

									"""simple docstring"""


									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(A      )      ):
													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 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					:			List[str]									= 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					:			str									= 0
																	# set the finish time
																	lowerCamelCase					:			Tuple									= self.current_time
																	# update the process' turnaround time because it is finished
																	lowerCamelCase					:			str									= 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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									for i in range(self.number_of_queues - 1      ):
													lowerCamelCase					:			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

					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'''






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A			      =      logging.get_logger(__name__)


A			      =      '▁'

A			      =      {'vocab_file': 'spiece.model'}

A			      =      {
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    }
}

A			      =      {
    'google/reformer-crime-and-punishment': 52_4288,
}




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	VOCAB_FILES_NAMES
					_lowerCAmelCase			     =	PRETRAINED_VOCAB_FILES_MAP
					_lowerCAmelCase			     =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_lowerCAmelCase			     =	['''input_ids''', '''attention_mask''']
					def __init__(     self,    A,    A="</s>",    A="<unk>",    A=[],    A = None,    **A,    ):

									"""simple docstring"""


									lowerCamelCase					:			str									= {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    eos_token=A,    unk_token=A,    additional_special_tokens=A,    sp_model_kwargs=self.sp_model_kwargs,    **A,    )

									lowerCamelCase					:			Any									= vocab_file
									lowerCamelCase					:			List[Any]									= spm.SentencePieceProcessor(**self.sp_model_kwargs      )
									self.sp_model.Load(A      )
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return self.sp_model.get_piece_size()
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= {self.convert_ids_to_tokens(A      ): i for i in range(self.vocab_size      )}
									vocab.update(self.added_tokens_encoder      )
									return vocab
					def __getstate__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= self.__dict__.copy()
									lowerCamelCase					:			List[Any]									= None
									return state
					def __setstate__(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= d

									# for backward compatibility
									if not hasattr(self,    'sp_model_kwargs'      ):
													lowerCamelCase					:			List[str]									= {}

									lowerCamelCase					:			Optional[int]									= spm.SentencePieceProcessor(**self.sp_model_kwargs      )
									self.sp_model.Load(self.vocab_file      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return self.sp_model.encode(A,    out_type=A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return self.sp_model.piece_to_id(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									if index < self.sp_model.get_piece_size():
													lowerCamelCase					:			Union[str, Any]									= self.sp_model.IdToPiece(A      )
									return token
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= []
									lowerCamelCase					:			Optional[int]									= ''
									for token in tokens:
													# make sure that special tokens are not decoded using sentencepiece model
													if token in self.all_special_tokens:
																	out_string += self.sp_model.decode(A      ) + token
																	lowerCamelCase					:			Any									= []
													else:
																	current_sub_tokens.append(A      )
									out_string += self.sp_model.decode(A      )
									return out_string.strip()




					def     UpperCAmelCase_							(     self,    A,    A = None      ):

									"""simple docstring"""


									if not os.path.isdir(A      ):
													logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
													return
									lowerCamelCase					:			str									= os.path.join(
									    A,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

									if os.path.abspath(self.vocab_file      ) != os.path.abspath(A      ) and os.path.isfile(self.vocab_file      ):
													copyfile(self.vocab_file,    A      )
									elif not os.path.isfile(self.vocab_file      ):
													with open(A,    'wb'      ) as fi:
																	lowerCamelCase					:			Optional[Any]									= self.sp_model.serialized_model_proto()
																	fi.write(A      )

									return (out_vocab_file,)
