


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

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

lowerCAmelCase__    :List[str]       =				{
    '''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__    :Optional[int]       =				{
    '''abeja/gpt-neox-japanese-2.7b''': 2_0_4_8,
}

def 			lowerCAmelCase__					(     a__:						Tuple     ,    a__:						List[Any]			)    ->						Optional[int]:


							'''simple docstring'''





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

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

							return vocab, raw_vocab, ids_to_tokens, emoji

class 						__a (							UpperCAmelCase     ):
		_a      :    Dict           =      VOCAB_FILES_NAMES
		_a      :    Optional[Any]           =      PRETRAINED_VOCAB_FILES_MAP
		_a      :    Union[str, Any]           =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a      :    Tuple           =      ['input_ids', 'attention_mask']
		def __init__(     self     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE="<|endoftext|>"     ,       _SCREAMING_SNAKE_CASE="<|endoftext|>"     ,       _SCREAMING_SNAKE_CASE="<|startoftext|>"     ,       _SCREAMING_SNAKE_CASE="<|endoftext|>"     ,       _SCREAMING_SNAKE_CASE=False     ,       **_SCREAMING_SNAKE_CASE     ,       )					->			List[Any]:




									"""simple docstring"""





									super().__init__(
									    unk_token=_SCREAMING_SNAKE_CASE     ,       pad_token=_SCREAMING_SNAKE_CASE     ,       bos_token=_SCREAMING_SNAKE_CASE     ,       eos_token=_SCREAMING_SNAKE_CASE     ,       do_clean_text=_SCREAMING_SNAKE_CASE     ,       **_SCREAMING_SNAKE_CASE     ,       )
									if not os.path.isfile(_SCREAMING_SNAKE_CASE		):
																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(_SCREAMING_SNAKE_CASE		):
																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)`'		)
									_UpperCAmelCase											=     do_clean_text
									_UpperCAmelCase						,			_UpperCAmelCase						,			_UpperCAmelCase						,			_UpperCAmelCase											=     load_vocab_and_emoji(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     SubWordJapaneseTokenizer(
									    vocab=self.vocab     ,       ids_to_tokens=self.ids_to_tokens     ,       emoji=self.emoji		)
		@property
		def       UpperCAmelCase__							(     self		)					->			Tuple:




									"""simple docstring"""





									return len(self.raw_vocab		)
		def       UpperCAmelCase__							(     self		)					->			Any:




									"""simple docstring"""





									return dict(self.raw_vocab     ,       **self.added_tokens_encoder		)
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			Union[str, Any]:




									"""simple docstring"""





									return self.subword_tokenizer.tokenize(_SCREAMING_SNAKE_CASE     ,       clean=self.do_clean_text		)
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			Union[str, Any]:




									"""simple docstring"""





									return self.vocab.get(_SCREAMING_SNAKE_CASE     ,       self.vocab.get(self.unk_token		)		)
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			int:




									"""simple docstring"""





									return self.subword_tokenizer.convert_id_to_token(_SCREAMING_SNAKE_CASE		)
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			List[Any]:




									"""simple docstring"""





									_UpperCAmelCase											=     ''.join(_SCREAMING_SNAKE_CASE		).strip()
									return out_string
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			List[int]:




									"""simple docstring"""





									_UpperCAmelCase											=     []
									for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE		) + [self.eos_token_id]		)

									if len(_SCREAMING_SNAKE_CASE		) > self.model_max_length:
																_UpperCAmelCase											=     input_ids[-self.model_max_length :]
									return input_ids






		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE = None		)					->			Tuple[str]:




									"""simple docstring"""





									_UpperCAmelCase											=     0
									if os.path.isdir(_SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase											=     os.path.join(
																    _SCREAMING_SNAKE_CASE     ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
																_UpperCAmelCase											=     os.path.join(
																    _SCREAMING_SNAKE_CASE     ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']		)
									else:
																_UpperCAmelCase											=     (
																    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
																)
																_UpperCAmelCase											=     (
																    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
																)
									with open(_SCREAMING_SNAKE_CASE     ,       '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!'		)
																														_UpperCAmelCase											=     token_index
																							writer.write(','.join(_SCREAMING_SNAKE_CASE		) + '\n'		)
																							index += 1
									with open(_SCREAMING_SNAKE_CASE     ,       'w'     ,       encoding='utf-8'		) as writer:
																json.dump(self.emoji     ,       _SCREAMING_SNAKE_CASE		)
									return vocab_file, emoji_file



class 						__a (							UpperCAmelCase     ):
		def __init__(     self     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)					->			Dict:




									"""simple docstring"""





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




									"""simple docstring"""





									return len(self.ids_to_tokens		)
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE		)					->			Any:




									"""simple docstring"""





									_UpperCAmelCase											=     self.content_repattera.sub('<URL>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     self.content_repattera.sub('<EMAIL>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     self.content_repattera.sub('<TEL>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     self.content_repattera.sub('<DATE>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     self.content_repattera.sub('<DATE>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     self.content_repattera.sub('<PRICE>'     ,       _SCREAMING_SNAKE_CASE		)
									_UpperCAmelCase											=     content.translate(self.content_transa		)
									while "<BLOCK><BLOCK>" in content:
																_UpperCAmelCase											=     content.replace('<BLOCK><BLOCK>'     ,       '<BLOCK>'		)
									return content
		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE=False		)					->			int:




									"""simple docstring"""





									_UpperCAmelCase											=     text.replace(' '     ,       '<SP>'		)
									_UpperCAmelCase											=     text.replace('　'     ,       '<SP>'		)
									_UpperCAmelCase											=     text.replace('\r\n'     ,       '<BR>'		)
									_UpperCAmelCase											=     text.replace('\n'     ,       '<BR>'		)
									_UpperCAmelCase											=     text.replace('\r'     ,       '<BR>'		)
									_UpperCAmelCase											=     text.replace('\t'     ,       '<TAB>'		)
									_UpperCAmelCase											=     text.replace('—'     ,       'ー'		)
									_UpperCAmelCase											=     text.replace('−'     ,       'ー'		)
									for k, v in self.emoji["emoji"].items():
																if k in text:
																							_UpperCAmelCase											=     text.replace(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE		)
									if clean:
																_UpperCAmelCase											=     self.clean_text(_SCREAMING_SNAKE_CASE		)

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

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






		def       UpperCAmelCase__							(     self     ,       _SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE="\n"		)					->			str:




									"""simple docstring"""





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




def 			lowerCAmelCase__					(     a__:						int     ,    a__:						int			)    ->						int:


							'''simple docstring'''





							return x if y == 0 else greatest_common_divisor(a__     ,    x % y			)

def 			lowerCAmelCase__					(     a__:						int     ,    a__:						int			)    ->						int:


							'''simple docstring'''





							return (x * y) // greatest_common_divisor(a__     ,    a__			)

def 			lowerCAmelCase__					(     a__:						int = 2_0			)    ->						int:


							'''simple docstring'''





							_UpperCAmelCase											=     1
							for i in range(1     ,    n + 1			):
														_UpperCAmelCase											=     lcm(a__     ,    a__			)
							return g


if __name__ == "__main__":
		print(f'''{solution() = }''')
