




"""simple docstring"""







import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE_	     =       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_	     =       {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE_	     =       {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

SCREAMING_SNAKE_CASE_	     =       {
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}





@lru_cache()
def      __snake_case (				):


    """simple docstring"""







    UpperCamelCase              =	(
        list(range(ord('''!'''    )			,ord('''~'''    ) + 1    )    ) + list(range(ord('''¡'''    )			,ord('''¬'''    ) + 1    )    ) + list(range(ord('''®'''    )			,ord('''ÿ'''    ) + 1    )    )
    )
    UpperCamelCase              =	bs[:]
    UpperCamelCase              =	0
    for b in range(2**8    ):
        if b not in bs:
            bs.append(_lowercase    )
            cs.append(2**8 + n    )
            n += 1
    UpperCamelCase              =	[chr(_lowercase    ) for n in cs]
    return dict(zip(_lowercase			,_lowercase    )    )





def      __snake_case (				_lowercase    ):


    """simple docstring"""







    UpperCamelCase              =	set()
    UpperCamelCase              =	word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)    )
        UpperCamelCase              =	char
    return pairs


class 				snake_case_			(					lowerCamelCase_			):







   """simple docstring"""




   A_				      =       VOCAB_FILES_NAMES
   A_				      =       PRETRAINED_VOCAB_FILES_MAP
   A_				      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A_				      =       ['''input_ids''', '''attention_mask''']







   def __init__(		self       ,					lowerCamelCase_       ,					lowerCamelCase_       ,					lowerCamelCase_="replace"       ,					lowerCamelCase_="<s>"       ,					lowerCamelCase_="</s>"       ,					lowerCamelCase_="</s>"       ,					lowerCamelCase_="<s>"       ,					lowerCamelCase_="<unk>"       ,					lowerCamelCase_="<pad>"       ,					lowerCamelCase_="<mask>"       ,					lowerCamelCase_=False       ,					**lowerCamelCase_       ,					)				->   Dict:
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else bos_token
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else eos_token
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else sep_token
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else cls_token
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else unk_token
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       UpperCamelCase              =	AddedToken(lowerCamelCase_       ,					lstrip=lowerCamelCase_       ,					rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_       ,					lowerCamelCase_) else mask_token

       super().__init__(
           errors=lowerCamelCase_       ,					bos_token=lowerCamelCase_       ,					eos_token=lowerCamelCase_       ,					unk_token=lowerCamelCase_       ,					sep_token=lowerCamelCase_       ,					cls_token=lowerCamelCase_       ,					pad_token=lowerCamelCase_       ,					mask_token=lowerCamelCase_       ,					add_prefix_space=lowerCamelCase_       ,					**lowerCamelCase_       ,					)

       with open(lowerCamelCase_       ,					encoding='''utf-8''') as vocab_handle:
           UpperCamelCase              =	json.load(lowerCamelCase_)
       UpperCamelCase              =	{v: k for k, v in self.encoder.items()}
       UpperCamelCase              =	errors  # how to handle errors in decoding
       UpperCamelCase              =	bytes_to_unicode()
       UpperCamelCase              =	{v: k for k, v in self.byte_encoder.items()}
       with open(lowerCamelCase_       ,					encoding='''utf-8''') as merges_handle:
           UpperCamelCase              =	merges_handle.read().split('''\n''')[1:-1]
       UpperCamelCase              =	[tuple(merge.split()) for merge in bpe_merges]
       UpperCamelCase              =	dict(zip(lowerCamelCase_       ,					range(len(lowerCamelCase_))))
       UpperCamelCase              =	{}
       UpperCamelCase              =	add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       UpperCamelCase              =	re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''')







   @property
   def   UpperCAmelCase__			(		self)				->   str:
       return len(self.encoder)







   def   UpperCAmelCase__			(		self)				->   Optional[Any]:
       return dict(self.encoder       ,					**self.added_tokens_encoder)







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   str:
       if token in self.cache:
           return self.cache[token]
       UpperCamelCase              =	tuple(lowerCamelCase_)
       UpperCamelCase              =	get_pairs(lowerCamelCase_)

       if not pairs:
           return token

       while True:
           UpperCamelCase              =	min(lowerCamelCase_       ,					key=lambda lowerCamelCase_: self.bpe_ranks.get(lowerCamelCase_       ,					float('''inf''')))
           if bigram not in self.bpe_ranks:
               break
           UpperCamelCase       ,	UpperCamelCase              =	bigram
           UpperCamelCase              =	[]
           UpperCamelCase              =	0
           while i < len(lowerCamelCase_):
               try:
                   UpperCamelCase              =	word.index(lowerCamelCase_       ,					lowerCamelCase_)
               except ValueError:
                   new_word.extend(word[i:])
                   break
               else:
                   new_word.extend(word[i:j])
                   UpperCamelCase              =	j

               if word[i] == first and i < len(lowerCamelCase_) - 1 and word[i + 1] == second:
                   new_word.append(first + second)
                   i += 2
               else:
                   new_word.append(word[i])
                   i += 1
           UpperCamelCase              =	tuple(lowerCamelCase_)
           UpperCamelCase              =	new_word
           if len(lowerCamelCase_) == 1:
               break
           else:
               UpperCamelCase              =	get_pairs(lowerCamelCase_)
       UpperCamelCase              =	''' '''.join(lowerCamelCase_)
       UpperCamelCase              =	word
       return word







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   Dict:
       UpperCamelCase              =	[]
       for token in re.findall(self.pat       ,					lowerCamelCase_):
           UpperCamelCase              =	''''''.join(
               self.byte_encoder[b] for b in token.encode('''utf-8'''))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
           bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase_).split(''' '''))
       return bpe_tokens







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   Union[str, Any]:
       return self.encoder.get(lowerCamelCase_       ,					self.encoder.get(self.unk_token))







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   List[Any]:
       return self.decoder.get(lowerCamelCase_)







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   Any:
       UpperCamelCase              =	''''''.join(lowerCamelCase_)
       UpperCamelCase              =	bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''       ,					errors=self.errors)
       return text







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

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

       UpperCamelCase              =	0
       with open(lowerCamelCase_       ,					'''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 lowerCamelCase_: 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!''')
                   UpperCamelCase              =	token_index
               writer.write(''' '''.join(lowerCamelCase_) + '''\n''')
               index += 1

       return vocab_file, merge_file







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_       ,					lowerCamelCase_ = None)				->   List[int]:
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       UpperCamelCase              =	[self.cls_token_id]
       UpperCamelCase              =	[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_       ,					lowerCamelCase_ = None       ,					lowerCamelCase_ = False)				->   List[int]:
       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=lowerCamelCase_       ,					token_ids_a=lowerCamelCase_       ,					already_has_special_tokens=lowerCamelCase_)

       if token_ids_a is None:
           return [1] + ([0] * len(lowerCamelCase_)) + [1]
       return [1] + ([0] * len(lowerCamelCase_)) + [1, 1] + ([0] * len(lowerCamelCase_)) + [1]







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_       ,					lowerCamelCase_ = None)				->   List[int]:
       UpperCamelCase              =	[self.sep_token_id]
       UpperCamelCase              =	[self.cls_token_id]

       if token_ids_a is None:
           return len(cls + token_ids_a + sep) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_       ,					lowerCamelCase_=False       ,					**lowerCamelCase_)				->   Dict:
       UpperCamelCase              =	kwargs.pop('''add_prefix_space'''       ,					self.add_prefix_space)
       if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase_) > 0 and not text[0].isspace()):
           UpperCamelCase              =	''' ''' + text
       return (text, kwargs)






'''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


a   	=    logging.get_logger(__name__)

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

a   	=    {
    "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",
    },
}

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

def     __magic_name__							(				__UpperCAmelCase				,						__UpperCAmelCase   )    ->       Any:

   '''simple docstring'''







   with open(__UpperCAmelCase				,						"""r"""				,						encoding="""utf-8"""   ) as f:
      __SCREAMING_SNAKE_CASE   				=							json.loads(f.read()   )

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

   return vocab, raw_vocab, ids_to_tokens, emoji







class __a			( _snake_case      ):
   __UpperCamelCase :			Tuple						   =						VOCAB_FILES_NAMES
   __UpperCamelCase :			Tuple						   =						PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase :			Any						   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase :			Union[str, Any]						   =						['input_ids', 'attention_mask']





   def __init__(       self					:      Dict					,lowerCamelCase					:      Union[str, Any]					,lowerCamelCase					:      int					,lowerCamelCase					:      str="<|endoftext|>"					,lowerCamelCase					:      List[Any]="<|endoftext|>"					,lowerCamelCase					:      str="<|startoftext|>"					,lowerCamelCase					:      Dict="<|endoftext|>"					,lowerCamelCase					:      int=False					,**lowerCamelCase					:      str					,):

      '''simple docstring'''

      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)`"""     )
      __SCREAMING_SNAKE_CASE   				=							do_clean_text
      __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE   				=							load_vocab_and_emoji(lowerCamelCase					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							SubWordJapaneseTokenizer(
          vocab=self.vocab					,ids_to_tokens=self.ids_to_tokens					,emoji=self.emoji     )





   @property
   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

      return len(self.raw_vocab     )





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      return dict(self.raw_vocab					,**self.added_tokens_encoder     )





   def   UpperCAmelCase__  (       self					:      Dict					,lowerCamelCase					:      str     ):

      '''simple docstring'''

      return self.subword_tokenizer.tokenize(lowerCamelCase					,clean=self.do_clean_text     )





   def   UpperCAmelCase__  (       self					:      Union[str, Any]					,lowerCamelCase					:      Union[str, Any]     ):

      '''simple docstring'''

      return self.vocab.get(lowerCamelCase					,self.vocab.get(self.unk_token     )     )





   def   UpperCAmelCase__  (       self					:      List[Any]					,lowerCamelCase					:      Optional[Any]     ):

      '''simple docstring'''

      return self.subword_tokenizer.convert_id_to_token(lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      List[str]					,lowerCamelCase					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							"""""".join(lowerCamelCase     ).strip()
      return out_string





   def   UpperCAmelCase__  (       self					:      List[str]					,lowerCamelCase					:      "Conversation"     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							[]
      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:
         __SCREAMING_SNAKE_CASE   				=							input_ids[-self.model_max_length :]
      return input_ids





   def   UpperCAmelCase__  (       self					:      Dict					,lowerCamelCase					:      str					,lowerCamelCase					:      Optional[str] = None     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							0
      if os.path.isdir(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							os.path.join(
             lowerCamelCase					,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
         __SCREAMING_SNAKE_CASE   				=							os.path.join(
             lowerCamelCase					,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]     )
      else:
         __SCREAMING_SNAKE_CASE   				=							(
             (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
         )
         __SCREAMING_SNAKE_CASE   				=							(
             (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!"""     )
               __SCREAMING_SNAKE_CASE   				=							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 __a			( _snake_case      ):





   def __init__(       self					:      Tuple					,lowerCamelCase					:      List[str]					,lowerCamelCase					:      Union[str, Any]					,lowerCamelCase					:      Optional[int]     ):

      '''simple docstring'''

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





   def __len__(       self					:      List[str]     ):

      '''simple docstring'''

      return len(self.ids_to_tokens     )





   def   UpperCAmelCase__  (       self					:      Optional[int]					,lowerCamelCase					:      Dict     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<URL>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<EMAIL>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<TEL>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<DATE>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<DATE>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							self.content_repattera.sub("""<PRICE>"""					,lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							content.translate(self.content_transa     )
      while "<BLOCK><BLOCK>" in content:
         __SCREAMING_SNAKE_CASE   				=							content.replace("""<BLOCK><BLOCK>"""					,"""<BLOCK>"""     )
      return content





   def   UpperCAmelCase__  (       self					:      Dict					,lowerCamelCase					:      Optional[Any]					,lowerCamelCase					:      List[str]=False     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							text.replace(""" """					,"""<SP>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""　"""					,"""<SP>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""\r\n"""					,"""<BR>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""\n"""					,"""<BR>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""\r"""					,"""<BR>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""\t"""					,"""<TAB>"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""—"""					,"""ー"""     )
      __SCREAMING_SNAKE_CASE   				=							text.replace("""−"""					,"""ー"""     )
      for k, v in self.emoji["emoji"].items():
         if k in text:
            __SCREAMING_SNAKE_CASE   				=							text.replace(lowerCamelCase					,lowerCamelCase     )
      if clean:
         __SCREAMING_SNAKE_CASE   				=							self.clean_text(lowerCamelCase     )

      def check_simbol(lowerCamelCase					:      List[str]     ):
         __SCREAMING_SNAKE_CASE   				=							x.encode()
         if len(lowerCamelCase     ) == 1 and len(lowerCamelCase     ) == 2:
            __SCREAMING_SNAKE_CASE   				=							(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(lowerCamelCase					:      Union[str, Any]     ):
         __SCREAMING_SNAKE_CASE   				=							x.encode()
         if len(lowerCamelCase     ) == 1 and len(lowerCamelCase     ) == 3:
            __SCREAMING_SNAKE_CASE   				=							(int(e[0]     ) << 16) + (int(e[1]     ) << 8) + int(e[2]     )
            if c >= 0xE28_080 and c <= 0xE2B_07F:
               return True
         return False

      __SCREAMING_SNAKE_CASE   				=							0
      __SCREAMING_SNAKE_CASE   				=							[]
      while pos < len(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							min(len(lowerCamelCase     )					,pos + self.maxlen + 1     ) if text[pos] == """<""" else pos + 3
         __SCREAMING_SNAKE_CASE   				=							[]  # (token_id, token, pos)
         for e in range(lowerCamelCase					,lowerCamelCase					,-1     ):
            __SCREAMING_SNAKE_CASE   				=							text[pos:e]
            if wd in self.vocab:
               if wd[0] == "<" and len(lowerCamelCase     ) > 2:
                  __SCREAMING_SNAKE_CASE   				=							[(self.vocab[wd], wd, e)]
                  break
               else:
                  candidates.append((self.vocab[wd], wd, e)     )
         if len(lowerCamelCase     ) > 0:
            # the smallest token_id is adopted
            __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE   				=							sorted(lowerCamelCase					,key=lambda lowerCamelCase     : x[0]     )[0]
            result.append(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							e
         else:
            __SCREAMING_SNAKE_CASE   				=							pos + 1
            __SCREAMING_SNAKE_CASE   				=							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     )
            __SCREAMING_SNAKE_CASE   				=							end
      return result





   def   UpperCAmelCase__  (       self					:      Optional[Any]					,lowerCamelCase					:      Dict					,lowerCamelCase					:      Optional[Any]="\n"     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							[]
      __SCREAMING_SNAKE_CASE   				=							[]
      __SCREAMING_SNAKE_CASE   				=							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"""     )     )
            __SCREAMING_SNAKE_CASE   				=							[]
         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"""     )     )
      __SCREAMING_SNAKE_CASE   				=							"""""".join(lowerCamelCase     )
      return text





