





import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
				from transformers.pipelines.conversational import Conversation


UpperCAmelCase						:   Union[str, Any]			  =     logging.get_logger(__name__)

UpperCAmelCase						:   Optional[int]			  =     {'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

UpperCAmelCase						:   Optional[int]			  =     {
    '''vocab_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt''',
    },
    '''emoji_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json''',
    },
}

UpperCAmelCase						:   Union[str, Any]			  =     {
    '''abeja/gpt-neox-japanese-2.7b''': 20_48,
}







def  _SCREAMING_SNAKE_CASE				(   a					,						a  )      ->      List[str]:
					with open(a					,						'r'					,						encoding='utf-8'  ) as f:
										__A	:						Optional[Any]       =				json.loads(f.read()  )

					__A	:						Dict       =				collections.OrderedDict()
					__A	:						Optional[int]       =				collections.OrderedDict()
					__A	:						Optional[int]       =				collections.OrderedDict()
					with open(a					,						'r'					,						encoding='utf-8'  ) as f:
										__A	:						Tuple       =				f.readlines()
					__A	:						str       =				[[t.rstrip('\n'  )] if (t == ',' or ',' not in t) else t.rstrip('\n'  ).split(','  ) for t in token]
					for idx, b in enumerate(a  ):
										__A	:						List[str]       =				b
										__A	:						Tuple       =				idx
										for wd in b:
															__A	:						Union[str, Any]       =				idx

					return vocab, raw_vocab, ids_to_tokens, emoji





class 						_A(					snake_case__   ):


				"""simple docstring"""


				UpperCamelCase    :  Tuple					    =	VOCAB_FILES_NAMES
				UpperCamelCase    :  str					    =	PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase    :  List[Any]					    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase    :  int					    =	['''input_ids''', '''attention_mask''']



				def __init__(			self     ,					_A     ,					_A     ,					_A="<|endoftext|>"     ,					_A="<|endoftext|>"     ,					_A="<|startoftext|>"     ,					_A="<|endoftext|>"     ,					_A=False     ,					**_A     ,					):
									super().__init__(
									    unk_token=_A     ,					pad_token=_A     ,					bos_token=_A     ,					eos_token=_A     ,					do_clean_text=_A     ,					**_A     ,					)
									if not os.path.isfile(_A     ):
														raise ValueError(
														    F"""Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"""
														    ' model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'     )
									if not os.path.isfile(_A     ):
														raise ValueError(
														    F"""Can't find a emoji file at path '{emoji_file}'. To load the emoji information from a Google"""
														    ' pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'     )
									__A	:						Any       =				do_clean_text
									__A    ,				__A    ,				__A    ,				__A	:						str       =				load_vocab_and_emoji(_A     ,					_A     )
									__A	:						Dict       =				SubWordJapaneseTokenizer(
									    vocab=self.vocab     ,					ids_to_tokens=self.ids_to_tokens     ,					emoji=self.emoji     )



				@property
				def 					UpperCAmelCase_		(			self     ):
									# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
									return len(self.raw_vocab     )



				def 					UpperCAmelCase_		(			self     ):
									return dict(self.raw_vocab     ,					**self.added_tokens_encoder     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return self.subword_tokenizer.tokenize(_A     ,					clean=self.do_clean_text     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return self.vocab.get(_A     ,					self.vocab.get(self.unk_token     )     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return self.subword_tokenizer.convert_id_to_token(_A     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									__A	:						List[str]       =				''.join(_A     ).strip()
									return out_string



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									__A	:						Dict       =				[]
									for is_user, text in conversation.iter_texts():
														input_ids.extend(self.encode(_A     ,					add_special_tokens=_A     ) + [self.eos_token_id]     )

									if len(_A     ) > self.model_max_length:
														__A	:						Dict       =				input_ids[-self.model_max_length :]
									return input_ids





				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A = None     ):
									__A	:						int       =				0
									if os.path.isdir(_A     ):
														__A	:						str       =				os.path.join(
														    _A     ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
														__A	:						List[str]       =				os.path.join(
														    _A     ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']     )
									else:
														__A	:						Tuple       =				(
														    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
														)
														__A	:						List[str]       =				(
														    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
														)
									with open(_A     ,					'w'     ,					encoding='utf-8'     ) as writer:
														for token_index, token in self.ids_to_tokens.items():
																			if index != token_index:
																								logger.warning(
																								    F"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
																								    ' Please check that the vocabulary is not corrupted!'     )
																								__A	:						List[str]       =				token_index
																			writer.write(','.join(_A     ) + '\n'     )
																			index += 1
									with open(_A     ,					'w'     ,					encoding='utf-8'     ) as writer:
														json.dump(self.emoji     ,					_A     )
									return vocab_file, emoji_file





class 						_A(					snake_case__   ):


				"""simple docstring"""


				def __init__(			self     ,					_A     ,					_A     ,					_A     ):
									__A	:						List[Any]       =				vocab  # same as swe
									__A	:						int       =				ids_to_tokens  # same as bpe
									__A	:						Any       =				emoji
									__A	:						Dict       =				np.max([len(_A     ) for w in self.vocab.keys()]     )
									__A	:						str       =				re.compile(R'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'     )
									__A	:						Dict       =				re.compile(R'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'     )
									__A	:						Optional[int]       =				re.compile(R'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'     )
									__A	:						Any       =				re.compile(
									    R'([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'     )
									__A	:						Optional[int]       =				re.compile(
									    R'(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'     )
									__A	:						Any       =				re.compile(
									    R'((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*'     )
									__A	:						Tuple       =				'─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'
									__A	:						Optional[Any]       =				'▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'
									__A	:						Optional[Any]       =				str.maketrans({k: '<BLOCK>' for k in keisen + blocks}     )



				def __len__(			self     ):
									return len(self.ids_to_tokens     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									__A	:						int       =				self.content_repattera.sub('<URL>'     ,					_A     )
									__A	:						Optional[int]       =				self.content_repattera.sub('<EMAIL>'     ,					_A     )
									__A	:						int       =				self.content_repattera.sub('<TEL>'     ,					_A     )
									__A	:						str       =				self.content_repattera.sub('<DATE>'     ,					_A     )
									__A	:						Optional[Any]       =				self.content_repattera.sub('<DATE>'     ,					_A     )
									__A	:						List[Any]       =				self.content_repattera.sub('<PRICE>'     ,					_A     )
									__A	:						Dict       =				content.translate(self.content_transa     )
									while "<BLOCK><BLOCK>" in content:
														__A	:						List[str]       =				content.replace('<BLOCK><BLOCK>'     ,					'<BLOCK>'     )
									return content



				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A=False     ):
									__A	:						Tuple       =				text.replace(' '     ,					'<SP>'     )
									__A	:						List[str]       =				text.replace('　'     ,					'<SP>'     )
									__A	:						int       =				text.replace('\r\n'     ,					'<BR>'     )
									__A	:						Optional[Any]       =				text.replace('\n'     ,					'<BR>'     )
									__A	:						Any       =				text.replace('\r'     ,					'<BR>'     )
									__A	:						Tuple       =				text.replace('\t'     ,					'<TAB>'     )
									__A	:						Optional[Any]       =				text.replace('—'     ,					'ー'     )
									__A	:						str       =				text.replace('−'     ,					'ー'     )
									for k, v in self.emoji["emoji"].items():
														if k in text:
																			__A	:						List[str]       =				text.replace(_A     ,					_A     )
									if clean:
														__A	:						Union[str, Any]       =				self.clean_text(_A     )

									def check_simbol(_A     ):
														__A	:						List[Any]       =				x.encode()
														if len(_A     ) == 1 and len(_A     ) == 2:
																			__A	:						Optional[int]       =				(int(e[0]     ) << 8) + int(e[1]     )
																			if (
																			    (c >= 0XC_2A1 and c <= 0XC_2BF)
																			    or (c >= 0XC_780 and c <= 0XC_783)
																			    or (c >= 0XC_AB9 and c <= 0XC_BBF)
																			    or (c >= 0XC_C80 and c <= 0XC_DA2)
																			):
																								return True
														return False

									def checkuae(_A     ):
														__A	:						int       =				x.encode()
														if len(_A     ) == 1 and len(_A     ) == 3:
																			__A	:						int       =				(int(e[0]     ) << 16) + (int(e[1]     ) << 8) + int(e[2]     )
																			if c >= 0XE28_080 and c <= 0XE2B_07F:
																								return True
														return False

									__A	:						Union[str, Any]       =				0
									__A	:						Optional[int]       =				[]
									while pos < len(_A     ):
														__A	:						str       =				min(len(_A     )     ,					pos + self.maxlen + 1     ) if text[pos] == '<' else pos + 3
														__A	:						List[str]       =				[]  # (token_id, token, pos)
														for e in range(_A     ,					_A     ,					-1     ):
																			__A	:						str       =				text[pos:e]
																			if wd in self.vocab:
																								if wd[0] == "<" and len(_A     ) > 2:
																													__A	:						Optional[Any]       =				[(self.vocab[wd], wd, e)]
																													break
																								else:
																													candidates.append((self.vocab[wd], wd, e)     )
														if len(_A     ) > 0:
																			# the smallest token_id is adopted
																			__A    ,				__A    ,				__A	:						List[str]       =				sorted(_A     ,					key=lambda _A     : x[0]     )[0]
																			result.append(_A     )
																			__A	:						Optional[int]       =				e
														else:
																			__A	:						Any       =				pos + 1
																			__A	:						int       =				text[pos:end]
																			if check_simbol(_A     ):
																								result.append('<KIGOU>'     )
																			elif checkuae(_A     ):
																								result.append('<U2000U2BFF>'     )
																			else:
																								for i in wd.encode('utf-8'     ):
																													result.append('<|byte%d|>' % i     )
																			__A	:						Tuple       =				end
									return result





				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A="\n"     ):
									__A	:						Optional[Any]       =				[]
									__A	:						int       =				[]
									__A	:						Any       =				self.ids_to_tokens[index][0]
									if word[:6] == "<|byte" and word[-2:] == "|>":
														byte_tokens.append(int(word[6:-2]     )     )
									else:
														if len(_A     ) > 0:
																			words.append(bytearray(_A     ).decode('utf-8'     ,					errors='replace'     )     )
																			__A	:						List[str]       =				[]
														if word[:7] == "<|emoji" and word[-2:] == "|>":
																			words.append(self.emoji['emoji_inv'][word]     )
														elif word == "<SP>":
																			words.append(' '     )
														elif word == "<BR>":
																			words.append(_A     )
														elif word == "<TAB>":
																			words.append('\t'     )
														elif word == "<BLOCK>":
																			words.append('▀'     )
														elif word == "<KIGOU>":
																			words.append('ǀ'     )
														elif word == "<U2000U2BFF>":
																			words.append('‖'     )
														else:
																			words.append(_A     )
									if len(_A     ) > 0:
														words.append(bytearray(_A     ).decode('utf-8'     ,					errors='replace'     )     )
									__A	:						List[Any]       =				''.join(_A     )
									return text











def  _SCREAMING_SNAKE_CASE				(   a  )      ->      Tuple:
					__A    ,				__A	:						Optional[Any]       =				[], []
					while len(a  ) > 1:
										__A    ,				__A	:						Any       =				min(a  ), max(a  )
										start.append(a  )
										end.append(a  )
										collection.remove(a  )
										collection.remove(a  )
					end.reverse()
					return start + collection + end


if __name__ == "__main__":
				UpperCAmelCase						:   int			  =     input('''Enter numbers separated by a comma:\n''').strip()
				UpperCAmelCase						:   Dict			  =     [int(item) for item in user_input.split(''',''')]
				print(*merge_sort(unsorted), sep=''',''')




