

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""": 2_0_4_8,
}

def 		lowerCamelCase__		(					_lowerCamelCase ,   _lowerCamelCase   ):

    '''simple docstring'''



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

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

    return vocab, raw_vocab, ids_to_tokens, emoji







class 	__UpperCamelCase    (    a__						):
  _UpperCAmelCase          =		VOCAB_FILES_NAMES
  _UpperCAmelCase          =		PRETRAINED_VOCAB_FILES_MAP
  _UpperCAmelCase          =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCAmelCase          =		["input_ids", "attention_mask"]

  def __init__(		self    ,_A    ,_A    ,_A="<|endoftext|>"    ,_A="<|endoftext|>"    ,_A="<|startoftext|>"    ,_A="<|endoftext|>"    ,_A=False    ,**_A    ,):
      '''simple docstring'''

      super().__init__(
          unk_token=_A    ,pad_token=_A    ,bos_token=_A    ,eos_token=_A    ,do_clean_text=_A    ,**_A    ,)
      if not os.path.isfile(_A      ):
          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(_A      ):
          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       :   Tuple  =    do_clean_text
      _lowerCAmelCase       :   str  =    load_vocab_and_emoji(_A    ,_A      )
      _lowerCAmelCase       :   List[Any]  =    SubWordJapaneseTokenizer(
          vocab=self.vocab    ,ids_to_tokens=self.ids_to_tokens    ,emoji=self.emoji      )

  @property
  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return len(self.raw_vocab      )

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      return self.subword_tokenizer.convert_id_to_token(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   List[str]  =    ''.join(_A      ).strip()
      return out_string

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

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

      if len(_A      ) > self.model_max_length:
          _lowerCAmelCase       :   Optional[int]  =    input_ids[-self.model_max_length :]
      return input_ids







  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    0
      if os.path.isdir(_A      ):
          _lowerCAmelCase       :   int  =    os.path.join(
              _A    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
          _lowerCAmelCase       :   Optional[Any]  =    os.path.join(
              _A    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']      )
      else:
          _lowerCAmelCase       :   Dict  =    (
              (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
          )
          _lowerCAmelCase       :   List[Any]  =    (
              (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
          )
      with open(_A    ,'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(_A      ) + '\n'      )
              index += 1
      with open(_A    ,'w'    ,encoding='utf-8'      ) as writer:
          json.dump(self.emoji    ,_A      )
      return vocab_file, emoji_file







class 	__UpperCamelCase    (    a__						):

  def __init__(		self    ,_A    ,_A    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Any  =    vocab  # same as swe
      _lowerCAmelCase       :   int  =    ids_to_tokens  # same as bpe
      _lowerCAmelCase       :   List[Any]  =    emoji
      _lowerCAmelCase       :   Tuple  =    np.max([len(_A      ) for w in self.vocab.keys()]      )
      _lowerCAmelCase       :   Dict  =    re.compile(r'(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'      )
      _lowerCAmelCase       :   int  =    re.compile(r'[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'      )
      _lowerCAmelCase       :   Optional[int]  =    re.compile(r'[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'      )
      _lowerCAmelCase       :   Optional[int]  =    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       :   Optional[int]  =    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      ):
      '''simple docstring'''

      return len(self.ids_to_tokens      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Optional[Any]  =    self.content_repattera.sub('<URL>'    ,_A      )
      _lowerCAmelCase       :   int  =    self.content_repattera.sub('<EMAIL>'    ,_A      )
      _lowerCAmelCase       :   List[Any]  =    self.content_repattera.sub('<TEL>'    ,_A      )
      _lowerCAmelCase       :   str  =    self.content_repattera.sub('<DATE>'    ,_A      )
      _lowerCAmelCase       :   Union[str, Any]  =    self.content_repattera.sub('<DATE>'    ,_A      )
      _lowerCAmelCase       :   Any  =    self.content_repattera.sub('<PRICE>'    ,_A      )
      _lowerCAmelCase       :   Union[str, Any]  =    content.translate(self.content_transa      )
      while "<BLOCK><BLOCK>" in content:
          _lowerCAmelCase       :   int  =    content.replace('<BLOCK><BLOCK>'    ,'<BLOCK>'      )
      return content

  def __lowerCamelCase		(		self    ,_A    ,_A=False      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    text.replace(' '    ,'<SP>'      )
      _lowerCAmelCase       :   Optional[Any]  =    text.replace('　'    ,'<SP>'      )
      _lowerCAmelCase       :   List[str]  =    text.replace('\r\n'    ,'<BR>'      )
      _lowerCAmelCase       :   Dict  =    text.replace('\n'    ,'<BR>'      )
      _lowerCAmelCase       :   int  =    text.replace('\r'    ,'<BR>'      )
      _lowerCAmelCase       :   int  =    text.replace('\t'    ,'<TAB>'      )
      _lowerCAmelCase       :   Optional[Any]  =    text.replace('—'    ,'ー'      )
      _lowerCAmelCase       :   List[str]  =    text.replace('−'    ,'ー'      )
      for k, v in self.emoji["emoji"].items():
          if k in text:
              _lowerCAmelCase       :   List[Any]  =    text.replace(_A    ,_A      )
      if clean:
          _lowerCAmelCase       :   Any  =    self.clean_text(_A      )

      def check_simbol(_A      ):
          _lowerCAmelCase       :   Tuple  =    x.encode()
          if len(_A      ) == 1 and len(_A      ) == 2:
              _lowerCAmelCase       :   Union[str, Any]  =    (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(_A      ):
          _lowerCAmelCase       :   Optional[Any]  =    x.encode()
          if len(_A      ) == 1 and len(_A      ) == 3:
              _lowerCAmelCase       :   Dict  =    (int(e[0]      ) << 16) + (int(e[1]      ) << 8) + int(e[2]      )
              if c >= 0xE2_8080 and c <= 0xE2_B07F:
                  return True
          return False

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







  def __lowerCamelCase		(		self    ,_A    ,_A="\n"      ):
      '''simple docstring'''

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








"""simple docstring"""






from __future__ import annotations

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    create_state_space_tree(_lowerCamelCase ,   [] ,   0 ,   [0 for i in range(len(_lowerCamelCase   )   )]   )

def 		lowerCamelCase__		(					_lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   ):

    '''simple docstring'''



    if index == len(_lowerCamelCase   ):
        print(_lowerCamelCase   )
        return

    for i in range(len(_lowerCamelCase   )   ):
        if not index_used[i]:
            current_sequence.append(sequence[i]   )
            _lowerCAmelCase       :   List[str]  =    True
            create_state_space_tree(_lowerCamelCase ,   _lowerCamelCase ,   index + 1 ,   _lowerCamelCase   )
            current_sequence.pop()
            _lowerCAmelCase       :   int  =    False
_lowerCAmelCase						=		[3, 1, 2, 4]
generate_all_permutations(sequence)

_lowerCAmelCase						=		["A", "B", "C"]

generate_all_permutations(sequence_a)





