






'''simple docstring'''







import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

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


_A     :      Optional[Any]   					=logging.get_logger(__name__)


_A     :      Union[str, Any]   					={
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

_A     :      Union[str, Any]   					={
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

_A     :      List[str]   					={'''facebook/blenderbot_small-90M''': 512}





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	List[str]:
							lowerCamelCase__ :     Dict	  =	set()
							lowerCamelCase__ :     str	  =	word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)				)
														lowerCamelCase__ :     str	  =	char

							lowerCamelCase__ :     Optional[int]	  =	set(UpperCamelCase				)
							return pairs



class _lowercase     (    _lowercase		):
							a    				=	VOCAB_FILES_NAMES
							a    				=	PRETRAINED_VOCAB_FILES_MAP
							a    				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a    				=	["""input_ids""", """attention_mask"""]




							def __init__(							self:    Optional[int]      ,							UpperCamelCase__:    List[str]      ,							UpperCamelCase__:    str      ,							UpperCamelCase__:    Dict="__start__"      ,							UpperCamelCase__:    Any="__end__"      ,							UpperCamelCase__:    Dict="__unk__"      ,							UpperCamelCase__:    List[str]="__null__"      ,							**UpperCamelCase__:    List[Any]      ,							):
														super().__init__(unk_token=UpperCamelCase__      ,							bos_token=UpperCamelCase__      ,							eos_token=UpperCamelCase__      ,							pad_token=UpperCamelCase__      ,							**UpperCamelCase__					)

														with open(UpperCamelCase__      ,							encoding="""utf-8"""					) as vocab_handle:
																					lowerCamelCase__ :     List[Any]	  =	json.load(UpperCamelCase__					)
														lowerCamelCase__ :     Any	  =	{v: k for k, v in self.encoder.items()}
														with open(UpperCamelCase__      ,							encoding="""utf-8"""					) as merges_handle:
																					lowerCamelCase__ :     Any	  =	merges_handle.read().split("""\n"""					)[1:-1]
														lowerCamelCase__ :     str	  =	[tuple(merge.split()					) for merge in merges]
														lowerCamelCase__ :     str	  =	dict(zip(UpperCamelCase__      ,							range(len(UpperCamelCase__					)					)					)					)
														lowerCamelCase__ :     int	  =	{}




							@property
							def 		lowerCamelCase_    (							self:    List[Any]					):
														return len(self.encoder					)




							def 		lowerCamelCase_    (							self:    Tuple					):
														return dict(self.encoder      ,							**self.added_tokens_encoder					)




							def 		lowerCamelCase_    (							self:    List[Any]      ,							UpperCamelCase__:    str					):
														if token in self.cache:
																					return self.cache[token]
														lowerCamelCase__ :     List[Any]	  =	re.sub("""([.,!?()])"""      ,							R""" \1"""      ,							UpperCamelCase__					)
														lowerCamelCase__ :     str	  =	re.sub("""(')"""      ,							R""" \1 """      ,							UpperCamelCase__					)
														lowerCamelCase__ :     Optional[int]	  =	re.sub(R"""\s{2,}"""      ,							""" """      ,							UpperCamelCase__					)
														if "\n" in token:
																					lowerCamelCase__ :     Any	  =	token.replace("""\n"""      ,							""" __newln__"""					)

														lowerCamelCase__ :     Any	  =	token.split(""" """					)
														lowerCamelCase__ :     Union[str, Any]	  =	[]
														for token in tokens:
																					if not len(UpperCamelCase__					):
																												continue

																					lowerCamelCase__ :     int	  =	token.lower()
																					lowerCamelCase__ :     Optional[Any]	  =	tuple(UpperCamelCase__					)
																					lowerCamelCase__ :     Dict	  =	tuple(list(word[:-1]					) + [word[-1] + """</w>"""]					)
																					lowerCamelCase__ :     Any	  =	get_pairs(UpperCamelCase__					)

																					if not pairs:
																												words.append(UpperCamelCase__					)
																												continue

																					while True:
																												lowerCamelCase__ :     Union[str, Any]	  =	min(UpperCamelCase__      ,							key=lambda UpperCamelCase__					: self.bpe_ranks.get(UpperCamelCase__      ,							float("""inf"""					)					)					)
																												if bigram not in self.bpe_ranks:
																																			break
																												lowerCamelCase__  ,		lowerCamelCase__ :     Optional[int]	  =	bigram
																												lowerCamelCase__ :     int	  =	[]
																												lowerCamelCase__ :     int	  =	0

																												while i < len(UpperCamelCase__					):
																																			try:
																																										lowerCamelCase__ :     Optional[Any]	  =	word.index(UpperCamelCase__      ,							UpperCamelCase__					)
																																										new_word.extend(word[i:j]					)
																																										lowerCamelCase__ :     int	  =	j
																																			except ValueError:
																																										new_word.extend(word[i:]					)
																																										break

																																			if word[i] == first and i < len(UpperCamelCase__					) - 1 and word[i + 1] == second:
																																										new_word.append(first + second					)
																																										i += 2
																																			else:
																																										new_word.append(word[i]					)
																																										i += 1
																												lowerCamelCase__ :     Optional[Any]	  =	tuple(UpperCamelCase__					)
																												lowerCamelCase__ :     Any	  =	new_word
																												if len(UpperCamelCase__					) == 1:
																																			break
																												else:
																																			lowerCamelCase__ :     List[Any]	  =	get_pairs(UpperCamelCase__					)
																					lowerCamelCase__ :     str	  =	"""@@ """.join(UpperCamelCase__					)
																					lowerCamelCase__ :     Optional[Any]	  =	word[:-4]

																					lowerCamelCase__ :     Optional[Any]	  =	word
																					words.append(UpperCamelCase__					)
														return " ".join(UpperCamelCase__					)




							def 		lowerCamelCase_    (							self:    List[Any]      ,							UpperCamelCase__:    str					):
														lowerCamelCase__ :     Tuple	  =	[]

														lowerCamelCase__ :     Tuple	  =	re.findall(R"""\S+\n?"""      ,							UpperCamelCase__					)

														for token in words:
																					split_tokens.extend(list(self.bpe(UpperCamelCase__					).split(""" """					)					)					)
														return split_tokens




							def 		lowerCamelCase_    (							self:    List[Any]      ,							UpperCamelCase__:    str					):
														lowerCamelCase__ :     List[Any]	  =	token.lower()
														return self.encoder.get(UpperCamelCase__      ,							self.encoder.get(self.unk_token					)					)




							def 		lowerCamelCase_    (							self:    Optional[int]      ,							UpperCamelCase__:    int					):
														return self.decoder.get(UpperCamelCase__      ,							self.unk_token					)




							def 		lowerCamelCase_    (							self:    List[str]      ,							UpperCamelCase__:    List[str]					):
														lowerCamelCase__ :     Dict	  =	""" """.join(UpperCamelCase__					).replace("""@@ """      ,							""""""					).strip()
														return out_string




							def 		lowerCamelCase_    (							self:    List[str]      ,							UpperCamelCase__:    str      ,							UpperCamelCase__:    Optional[str] = None					):
														if not os.path.isdir(UpperCamelCase__					):
																					logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
																					return
														lowerCamelCase__ :     Any	  =	os.path.join(
														    UpperCamelCase__      ,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
														lowerCamelCase__ :     Tuple	  =	os.path.join(
														    UpperCamelCase__      ,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

														with open(UpperCamelCase__      ,							"""w"""      ,							encoding="""utf-8"""					) as f:
																					f.write(json.dumps(self.encoder      ,							indent=2      ,							sort_keys=UpperCamelCase__      ,							ensure_ascii=UpperCamelCase__					) + """\n"""					)

														lowerCamelCase__ :     str	  =	0
														with open(UpperCamelCase__      ,							"""w"""      ,							encoding="""utf-8"""					) as writer:
																					writer.write("""#version: 0.2\n"""					)
																					for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,							key=lambda UpperCamelCase__					: kv[1]					):
																												if index != token_index:
																																			logger.warning(
																																			    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																																			    """ Please check that the tokenizer is not corrupted!"""					)
																																			lowerCamelCase__ :     Tuple	  =	token_index
																												writer.write(""" """.join(UpperCamelCase__					) + """\n"""					)
																												index += 1

														return vocab_file, merge_file









'''simple docstring'''







from collections import deque

class _lowercase     :




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



class _lowercase     :




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




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




							def 		lowerCamelCase_    (							self:    Union[str, Any]      ,							UpperCamelCase__:    list[Process]					):
														lowerCamelCase__ :     int	  =	[]
														for i in range(len(UpperCamelCase__					)					):
																					waiting_times.append(queue[i].waiting_time					)
														return waiting_times




							def 		lowerCamelCase_    (							self:    Any      ,							UpperCamelCase__:    list[Process]					):
														lowerCamelCase__ :     Optional[int]	  =	[]
														for i in range(len(UpperCamelCase__					)					):
																					turnaround_times.append(queue[i].turnaround_time					)
														return turnaround_times




							def 		lowerCamelCase_    (							self:    Union[str, Any]      ,							UpperCamelCase__:    list[Process]					):
														lowerCamelCase__ :     List[Any]	  =	[]
														for i in range(len(UpperCamelCase__					)					):
																					completion_times.append(queue[i].stop_time					)
														return completion_times




							def 		lowerCamelCase_    (							self:    int      ,							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:    Optional[Any]      ,							UpperCamelCase__:    deque[Process]					):
														lowerCamelCase__ :     deque[Process]	  =	deque()  # sequence deque of finished process
														while len(UpperCamelCase__					) != 0:
																					lowerCamelCase__ :     List[Any]	  =	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
																					lowerCamelCase__ :     Dict	  =	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__ :     int	  =	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:    Union[str, Any]      ,							UpperCamelCase__:    deque[Process]      ,							UpperCamelCase__:    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(UpperCamelCase__					)					):
																					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 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
																												lowerCamelCase__ :     Dict	  =	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
																												lowerCamelCase__ :     Any	  =	0
																												# set the finish time
																												lowerCamelCase__ :     List[Any]	  =	self.current_time
																												# update the process' turnaround time because it is finished
																												lowerCamelCase__ :     Any	  =	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					):
																					lowerCamelCase__  ,		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     :      Optional[Any]   					=Process('''P1''', 0, 53)
			_A     :      List[Any]   					=Process('''P2''', 0, 17)
			_A     :      Any   					=Process('''P3''', 0, 68)
			_A     :      Tuple   					=Process('''P4''', 0, 24)
			_A     :      int   					=3
			_A     :      Tuple   					=[17, 25]
			_A     :      List[Any]   					=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, 53)
			_A     :      Union[str, Any]   					=Process('''P2''', 0, 17)
			_A     :      int   					=Process('''P3''', 0, 68)
			_A     :      Dict   					=Process('''P4''', 0, 24)
			_A     :      List[str]   					=3
			_A     :      List[Any]   					=[17, 25]
			_A     :      Any   					=deque([Pa, Pa, Pa, Pa])
			_A     :      List[str]   					=MLFQ(number_of_queues, time_slices, queue, 0)
			_A     :      Union[str, Any]   					=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()}'
			)

