

'''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


_UpperCamelCase						:  List[Any]							       =				logging.get_logger(__name__)

_UpperCamelCase						:  Union[str, Any]							       =				{"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

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


def       snake_case   (	snake_case      : Optional[int]					,		snake_case      : Tuple			) ->  Tuple:


    """simple docstring"""


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

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

    return vocab, raw_vocab, ids_to_tokens, emoji



class 				_snake_case					(   a_			):
  SCREAMING_SNAKE_CASE			:       List[Any]				=     VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE			:       Dict				=     PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE			:       Optional[Any]				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE			:       int				=     ['''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      , ):





      '''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)`'	)
      lowerCAmelCase 						=							do_clean_text
      lowerCAmelCase						,   lowerCAmelCase						,   lowerCAmelCase						,   lowerCAmelCase 						=							load_vocab_and_emoji(_SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE	)
      lowerCAmelCase 						=							SubWordJapaneseTokenizer(
          vocab=self.vocab      , ids_to_tokens=self.ids_to_tokens      , emoji=self.emoji	)

  @property
  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      return len(self.raw_vocab	)

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

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

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

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

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

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

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      return self.subword_tokenizer.convert_id_to_token(_SCREAMING_SNAKE_CASE	)

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      lowerCAmelCase 						=							''.join(_SCREAMING_SNAKE_CASE	).strip()
      return out_string

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

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


  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE = None	):





      '''simple docstring'''

      lowerCAmelCase 						=							0
      if os.path.isdir(_SCREAMING_SNAKE_CASE	):
          lowerCAmelCase 						=							os.path.join(
              _SCREAMING_SNAKE_CASE      , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)
          lowerCAmelCase 						=							os.path.join(
              _SCREAMING_SNAKE_CASE      , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']	)
      else:
          lowerCAmelCase 						=							(
              (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
          )
          lowerCAmelCase 						=							(
              (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!'	)
                  lowerCAmelCase 						=							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 				_snake_case					(   a_			):

  def __init__(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

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

  def __len__(				self	):





      '''simple docstring'''

      return len(self.ids_to_tokens	)

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

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

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE=False	):





      '''simple docstring'''

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

      def check_simbol(_SCREAMING_SNAKE_CASE	):
          lowerCAmelCase 						=							x.encode()
          if len(_SCREAMING_SNAKE_CASE	) == 1 and len(_SCREAMING_SNAKE_CASE	) == 2:
              lowerCAmelCase 						=							(int(e[0]	) << 8) + int(e[1]	)
              if (
                  (c >= 0Xc2_a1 and c <= 0Xc2_bf)
                  or (c >= 0Xc7_80 and c <= 0Xc7_83)
                  or (c >= 0Xca_b9 and c <= 0Xcb_bf)
                  or (c >= 0Xcc_80 and c <= 0Xcd_a2)
              ):
                  return True
          return False

      def checkuae(_SCREAMING_SNAKE_CASE	):
          lowerCAmelCase 						=							x.encode()
          if len(_SCREAMING_SNAKE_CASE	) == 1 and len(_SCREAMING_SNAKE_CASE	) == 3:
              lowerCAmelCase 						=							(int(e[0]	) << 16) + (int(e[1]	) << 8) + int(e[2]	)
              if c >= 0Xe2_80_80 and c <= 0Xe2_b0_7f:
                  return True
          return False

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


  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE="\n"	):





      '''simple docstring'''

      lowerCAmelCase 						=							[]
      lowerCAmelCase 						=							[]
      lowerCAmelCase 						=							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'	)	)
              lowerCAmelCase 						=							[]
          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'	)	)
      lowerCAmelCase 						=							''.join(_SCREAMING_SNAKE_CASE	)
      return text








'''simple docstring'''



def       snake_case   (	snake_case      : int					,		snake_case      : int					,		snake_case      : int			) ->  int:


    """simple docstring"""


    if exponent == 1:
        return base
    if exponent % 2 == 0:
        lowerCAmelCase 						=							_modexpt(snake_case					,		exponent // 2					,		snake_case			) % modulo_value
        return (x * x) % modulo_value
    else:
        return (base * _modexpt(snake_case					,		exponent - 1					,		snake_case			)) % modulo_value


def       snake_case   (	snake_case      : int = 1777					,		snake_case      : int = 1855					,		snake_case      : int = 8			) ->  int:


    """simple docstring"""


    lowerCAmelCase 						=							base
    for _ in range(1					,		snake_case			):
        lowerCAmelCase 						=							_modexpt(snake_case					,		snake_case					,		10**digits			)

    return result


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





