




"""simple docstring"""






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


lowercase__			=		logging.get_logger(__name__)

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

lowercase__			=		{
    """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""",
    },
}

lowercase__			=		{
    """abeja/gpt-neox-japanese-2.7b""": 2048,
}







def 	_snake_case     (							lowercase__				,       lowercase__						):
				with open(lowercase__				,       'r'				,       encoding='utf-8'						) as f:
								_lowerCamelCase	:     int       =       json.loads(f.read()						)

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

				return vocab, raw_vocab, ids_to_tokens, emoji






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     VOCAB_FILES_NAMES
			lowerCamelCase__ =     PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__ =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__ =     ["""input_ids""", """attention_mask"""]
			def __init__(    self    , lowercase    , lowercase    , lowercase="<|endoftext|>"    , lowercase="<|endoftext|>"    , lowercase="<|startoftext|>"    , lowercase="<|endoftext|>"    , lowercase=False    , **lowercase    , ):
							super().__init__(
							    unk_token=lowercase    , pad_token=lowercase    , bos_token=lowercase    , eos_token=lowercase    , do_clean_text=lowercase    , **lowercase    , )
							if not os.path.isfile(lowercase    ):
											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(lowercase    ):
											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)`'    )
							_lowerCamelCase	:     int       =       do_clean_text
							_lowerCamelCase,					_lowerCamelCase,					_lowerCamelCase,					_lowerCamelCase	:     str       =       load_vocab_and_emoji(lowercase    , lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       SubWordJapaneseTokenizer(
							    vocab=self.vocab    , ids_to_tokens=self.ids_to_tokens    , emoji=self.emoji    )
			@property
			def    A_       (    self    ):
							# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
							return len(self.raw_vocab    )
			def    A_       (    self    ):
							return dict(self.raw_vocab    , **self.added_tokens_encoder    )
			def    A_       (    self    , lowercase    ):
							return self.subword_tokenizer.tokenize(lowercase    , clean=self.do_clean_text    )
			def    A_       (    self    , lowercase    ):
							return self.vocab.get(lowercase    , self.vocab.get(self.unk_token    )    )
			def    A_       (    self    , lowercase    ):
							return self.subword_tokenizer.convert_id_to_token(lowercase    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Tuple       =       ''.join(lowercase    ).strip()
							return out_string
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Dict       =       []
							for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(lowercase    , add_special_tokens=lowercase    ) + [self.eos_token_id]    )

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






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






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			def __init__(    self    , lowercase    , lowercase    , lowercase    ):
							_lowerCamelCase	:     Dict       =       vocab  # same as swe
							_lowerCamelCase	:     List[str]       =       ids_to_tokens  # same as bpe
							_lowerCamelCase	:     Union[str, Any]       =       emoji
							_lowerCamelCase	:     Union[str, Any]       =       np.max([len(lowercase    ) for w in self.vocab.keys()]    )
							_lowerCamelCase	:     Optional[Any]       =       re.compile(r'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'    )
							_lowerCamelCase	:     Optional[int]       =       re.compile(r'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'    )
							_lowerCamelCase	:     Union[str, Any]       =       re.compile(r'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'    )
							_lowerCamelCase	:     Union[str, 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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'    )
							_lowerCamelCase	:     List[Any]       =       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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'    )
							_lowerCamelCase	:     Dict       =       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)*'    )
							_lowerCamelCase	:     str       =       '─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'
							_lowerCamelCase	:     List[str]       =       '▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'
							_lowerCamelCase	:     Union[str, Any]       =       str.maketrans({k: '<BLOCK>' for k in keisen + blocks}    )
			def __len__(    self    ):
							return len(self.ids_to_tokens    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     List[Any]       =       self.content_repattera.sub('<URL>'    , lowercase    )
							_lowerCamelCase	:     Optional[Any]       =       self.content_repattera.sub('<EMAIL>'    , lowercase    )
							_lowerCamelCase	:     Optional[Any]       =       self.content_repattera.sub('<TEL>'    , lowercase    )
							_lowerCamelCase	:     Any       =       self.content_repattera.sub('<DATE>'    , lowercase    )
							_lowerCamelCase	:     Optional[int]       =       self.content_repattera.sub('<DATE>'    , lowercase    )
							_lowerCamelCase	:     Optional[Any]       =       self.content_repattera.sub('<PRICE>'    , lowercase    )
							_lowerCamelCase	:     List[Any]       =       content.translate(self.content_transa    )
							while "<BLOCK><BLOCK>" in content:
											_lowerCamelCase	:     Optional[Any]       =       content.replace('<BLOCK><BLOCK>'    , '<BLOCK>'    )
							return content
			def    A_       (    self    , lowercase    , lowercase=False    ):
							_lowerCamelCase	:     List[Any]       =       text.replace(' '    , '<SP>'    )
							_lowerCamelCase	:     Any       =       text.replace('　'    , '<SP>'    )
							_lowerCamelCase	:     Any       =       text.replace('\r\n'    , '<BR>'    )
							_lowerCamelCase	:     Tuple       =       text.replace('\n'    , '<BR>'    )
							_lowerCamelCase	:     int       =       text.replace('\r'    , '<BR>'    )
							_lowerCamelCase	:     Union[str, Any]       =       text.replace('\t'    , '<TAB>'    )
							_lowerCamelCase	:     Optional[int]       =       text.replace('—'    , 'ー'    )
							_lowerCamelCase	:     Any       =       text.replace('−'    , 'ー'    )
							for k, v in self.emoji["emoji"].items():
											if k in text:
															_lowerCamelCase	:     Tuple       =       text.replace(lowercase    , lowercase    )
							if clean:
											_lowerCamelCase	:     str       =       self.clean_text(lowercase    )

							def check_simbol(lowercase    ):
											_lowerCamelCase	:     str       =       x.encode()
											if len(lowercase    ) == 1 and len(lowercase    ) == 2:
															_lowerCamelCase	:     Optional[int]       =       (int(e[0]    ) << 8) + int(e[1]    )
															if (
															    (c >= 0XC2A1 and c <= 0XC2BF)
															    or (c >= 0XC780 and c <= 0XC783)
															    or (c >= 0XCAB9 and c <= 0XCBBF)
															    or (c >= 0XCC80 and c <= 0XCDA2)
															):
																			return True
											return False

							def checkuae(lowercase    ):
											_lowerCamelCase	:     List[str]       =       x.encode()
											if len(lowercase    ) == 1 and len(lowercase    ) == 3:
															_lowerCamelCase	:     Optional[int]       =       (int(e[0]    ) << 16) + (int(e[1]    ) << 8) + int(e[2]    )
															if c >= 0XE28080 and c <= 0XE2B07F:
																			return True
											return False

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






			def    A_       (    self    , lowercase    , lowercase="\n"    ):
							_lowerCamelCase	:     Optional[int]       =       []
							_lowerCamelCase	:     str       =       []
							_lowerCamelCase	:     Dict       =       self.ids_to_tokens[index][0]
							if word[:6] == "<|byte" and word[-2:] == "|>":
											byte_tokens.append(int(word[6:-2]    )    )
							else:
											if len(lowercase    ) > 0:
															words.append(bytearray(lowercase    ).decode('utf-8'    , errors='replace'    )    )
															_lowerCamelCase	:     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(lowercase    )
											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(lowercase    )
							if len(lowercase    ) > 0:
											words.append(bytearray(lowercase    ).decode('utf-8'    , errors='replace'    )    )
							_lowerCamelCase	:     Optional[Any]       =       ''.join(lowercase    )
							return text





"""simple docstring"""






from diffusers.utils.testing_utils import require_onnxruntime






@require_onnxruntime
class lowerCAmelCase__      :






			'''simple docstring'''



			pass