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


__lowerCamelCase											=  logging.get_logger(__name__)

__lowerCamelCase											=  {"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

__lowerCamelCase											=  {
    "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",
    },
}

__lowerCamelCase											=  {
    "abeja/gpt-neox-japanese-2.7b": 20_48,
}






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with open(_lowerCAmelCase       ,    'r'       ,    encoding='utf-8'				) as f:
														A__	     =							json.loads(f.read()				)

							A__	     =							collections.OrderedDict()
							A__	     =							collections.OrderedDict()
							A__	     =							collections.OrderedDict()
							with open(_lowerCAmelCase       ,    'r'       ,    encoding='utf-8'				) as f:
														A__	     =							f.readlines()
							A__	     =							[[t.rstrip('\n'				)] if (t == ',' or ',' not in t) else t.rstrip('\n'				).split(','				) for t in token]
							for idx, b in enumerate(_lowerCAmelCase				):
														A__	     =							b
														A__	     =							idx
														for wd in b:
																					A__	     =							idx

							return vocab, raw_vocab, ids_to_tokens, emoji
class     UpperCamelCase__(			__UpperCAmelCase ):
						lowerCAmelCase__  :						Optional[Any]													=		VOCAB_FILES_NAMES
						lowerCAmelCase__  :						int													=		PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase__  :						Union[str, Any]													=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase__  :						Tuple													=		["input_ids", "attention_mask"]





						def __init__(       self		,__UpperCAmelCase		,__UpperCAmelCase		,__UpperCAmelCase="<|endoftext|>"		,__UpperCAmelCase="<|endoftext|>"		,__UpperCAmelCase="<|startoftext|>"		,__UpperCAmelCase="<|endoftext|>"		,__UpperCAmelCase=False		,**__UpperCAmelCase		,)					->				Optional[Any]:
													super().__init__(
													    unk_token=_lowerCamelCase		,pad_token=_lowerCamelCase		,bos_token=_lowerCamelCase		,eos_token=_lowerCamelCase		,do_clean_text=_lowerCamelCase		,**_lowerCamelCase		,)
													if not os.path.isfile(_lowerCamelCase     ):
																				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(_lowerCamelCase     ):
																				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__	     =							do_clean_text
													A__     ,  A__     ,  A__     ,  A__	     =							load_vocab_and_emoji(_lowerCamelCase		,_lowerCamelCase     )
													A__	     =							SubWordJapaneseTokenizer(
													    vocab=self.vocab		,ids_to_tokens=self.ids_to_tokens		,emoji=self.emoji     )





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





						def 				snake_case__	(       self     )					->				Dict:
													return dict(self.raw_vocab		,**self.added_tokens_encoder     )





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				Optional[Any]:
													return self.subword_tokenizer.tokenize(_lowerCamelCase		,clean=self.do_clean_text     )





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				List[str]:
													return self.vocab.get(_lowerCamelCase		,self.vocab.get(self.unk_token     )     )





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				Tuple:
													return self.subword_tokenizer.convert_id_to_token(_lowerCamelCase     )





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				int:
													A__	     =							''.join(_lowerCamelCase     ).strip()
													return out_string





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				Any:
													A__	     =							[]
													for is_user, text in conversation.iter_texts():
																				input_ids.extend(self.encode(_lowerCamelCase		,add_special_tokens=_lowerCamelCase     ) + [self.eos_token_id]     )

													if len(_lowerCamelCase     ) > self.model_max_length:
																				A__	     =							input_ids[-self.model_max_length :]
													return input_ids





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase = None     )					->				Optional[int]:
													A__	     =							0
													if os.path.isdir(_lowerCamelCase     ):
																				A__	     =							os.path.join(
																				    _lowerCamelCase		,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
																				A__	     =							os.path.join(
																				    _lowerCamelCase		,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']     )
													else:
																				A__	     =							(
																				    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
																				)
																				A__	     =							(
																				    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
																				)
													with open(_lowerCamelCase		,'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__	     =							token_index
																											writer.write(','.join(_lowerCamelCase     ) + '\n'     )
																											index += 1
													with open(_lowerCamelCase		,'w'		,encoding='utf-8'     ) as writer:
																				json.dump(self.emoji		,_lowerCamelCase     )
													return vocab_file, emoji_file






class     UpperCamelCase__(			__UpperCAmelCase ):





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





						def __len__(       self     )					->				Any:
													return len(self.ids_to_tokens     )





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				int:
													A__	     =							self.content_repattera.sub('<URL>'		,_lowerCamelCase     )
													A__	     =							self.content_repattera.sub('<EMAIL>'		,_lowerCamelCase     )
													A__	     =							self.content_repattera.sub('<TEL>'		,_lowerCamelCase     )
													A__	     =							self.content_repattera.sub('<DATE>'		,_lowerCamelCase     )
													A__	     =							self.content_repattera.sub('<DATE>'		,_lowerCamelCase     )
													A__	     =							self.content_repattera.sub('<PRICE>'		,_lowerCamelCase     )
													A__	     =							content.translate(self.content_transa     )
													while "<BLOCK><BLOCK>" in content:
																				A__	     =							content.replace('<BLOCK><BLOCK>'		,'<BLOCK>'     )
													return content





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase=False     )					->				List[str]:
													A__	     =							text.replace(' '		,'<SP>'     )
													A__	     =							text.replace('　'		,'<SP>'     )
													A__	     =							text.replace('\r\n'		,'<BR>'     )
													A__	     =							text.replace('\n'		,'<BR>'     )
													A__	     =							text.replace('\r'		,'<BR>'     )
													A__	     =							text.replace('\t'		,'<TAB>'     )
													A__	     =							text.replace('—'		,'ー'     )
													A__	     =							text.replace('−'		,'ー'     )
													for k, v in self.emoji["emoji"].items():
																				if k in text:
																											A__	     =							text.replace(_lowerCamelCase		,_lowerCamelCase     )
													if clean:
																				A__	     =							self.clean_text(_lowerCamelCase     )

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

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





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase="\n"     )					->				Any:
													A__	     =							[]
													A__	     =							[]
													A__	     =							self.ids_to_tokens[index][0]
													if word[:6] == "<|byte" and word[-2:] == "|>":
																				byte_tokens.append(int(word[6:-2]     )     )
													else:
																				if len(_lowerCamelCase     ) > 0:
																											words.append(bytearray(_lowerCamelCase     ).decode('utf-8'		,errors='replace'     )     )
																											A__	     =							[]
																				if word[:7] == "<|emoji" and word[-2:] == "|>":
																											words.append(self.emoji['emoji_inv'][word]     )
																				elif word == "<SP>":
																											words.append(' '     )
																				elif word == "<BR>":
																											words.append(_lowerCamelCase     )
																				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(_lowerCamelCase     )
													if len(_lowerCamelCase     ) > 0:
																				words.append(bytearray(_lowerCamelCase     ).decode('utf-8'		,errors='replace'     )     )
													A__	     =							''.join(_lowerCamelCase     )
													return text






"""simple docstring"""




def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							A__     ,  A__	     =							[], []
							while len(UpperCamelCase__				) > 1:
														A__     ,  A__	     =							min(UpperCamelCase__				), max(UpperCamelCase__				)
														start.append(UpperCamelCase__				)
														end.append(UpperCamelCase__				)
														collection.remove(UpperCamelCase__				)
														collection.remove(UpperCamelCase__				)
							end.reverse()
							return start + collection + end


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





