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': 2_048,
}





def    __lowercase     (						lowerCamelCase					:     List[str]  ,  lowerCamelCase					:     List[str]	):
 with open(lowerCamelCase  ,  'r'  ,  encoding='utf-8'	) as f:
  UpperCamelCase_					:						Optional[int] =					json.loads(f.read()	)

 UpperCamelCase_					:						int =					collections.OrderedDict()
 UpperCamelCase_					:						Any =					collections.OrderedDict()
 UpperCamelCase_					:						Optional[int] =					collections.OrderedDict()
 with open(lowerCamelCase  ,  'r'  ,  encoding='utf-8'	) as f:
  UpperCamelCase_					:						Union[str, Any] =					f.readlines()
 UpperCamelCase_					:						Optional[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	):
  UpperCamelCase_					:						Any =					b
  UpperCamelCase_					:						str =					idx
  for wd in b:
   UpperCamelCase_					:						List[str] =					idx

 return vocab, raw_vocab, ids_to_tokens, emoji





class 		_lowercase						(					snake_case_       ):
 lowercase				     =   VOCAB_FILES_NAMES
 lowercase				     =   PRETRAINED_VOCAB_FILES_MAP
 lowercase				     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase				     =   ['input_ids', 'attention_mask']

 def __init__( self	:							List[Any]   ,      snake_case	:							Optional[int]   ,      snake_case	:							Any   ,      snake_case	:							List[Any]="<|endoftext|>"   ,      snake_case	:							str="<|endoftext|>"   ,      snake_case	:							List[str]="<|startoftext|>"   ,      snake_case	:							str="<|endoftext|>"   ,      snake_case	:							str=False   ,      **snake_case	:							Optional[Any]   ,      )   ->						int:

  """simple docstring"""





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

 @property
 def 						SCREAMING_SNAKE_CASE__   ( self	:							int			)   ->						Tuple:

  """simple docstring"""





  return len(self.raw_vocab			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]			)   ->						Tuple:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							Optional[int]			)   ->						str:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]   ,      snake_case	:							Union[str, Any]			)   ->						List[str]:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							str   ,      snake_case	:							Optional[int]			)   ->						Optional[Any]:

  """simple docstring"""





  return self.subword_tokenizer.convert_id_to_token(snake_case			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple   ,      snake_case	:							Optional[Any]			)   ->						Optional[Any]:

  """simple docstring"""





  UpperCamelCase_					:						Optional[Any] =					''.join(snake_case			).strip()
  return out_string

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]   ,      snake_case	:							"Conversation"			)   ->						List[int]:

  """simple docstring"""





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

  if len(snake_case			) > self.model_max_length:
   UpperCamelCase_					:						Union[str, Any] =					input_ids[-self.model_max_length :]
  return input_ids


 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							str   ,      snake_case	:							Optional[str] = None			)   ->						Tuple[str]:

  """simple docstring"""





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





class 		_lowercase						(					snake_case_       ):

 def __init__( self	:							Union[str, Any]   ,      snake_case	:							List[str]   ,      snake_case	:							int   ,      snake_case	:							Any			)   ->						Optional[Any]:

  """simple docstring"""





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

 def __len__( self	:							Dict			)   ->						Any:

  """simple docstring"""





  return len(self.ids_to_tokens			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[int]   ,      snake_case	:							Dict			)   ->						Any:

  """simple docstring"""





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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[Any]   ,      snake_case	:							str   ,      snake_case	:							Dict=False			)   ->						Optional[Any]:

  """simple docstring"""





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

  def check_simbol(snake_case	:							Optional[Any]			):
   UpperCamelCase_					:						Dict =					x.encode()
   if len(snake_case			) == 1 and len(snake_case			) == 2:
    UpperCamelCase_					:						List[str] =					(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(snake_case	:							Optional[Any]			):
   UpperCamelCase_					:						Optional[Any] =					x.encode()
   if len(snake_case			) == 1 and len(snake_case			) == 3:
    UpperCamelCase_					:						Optional[int] =					(int(e[0]			) << 1_6) + (int(e[1]			) << 8) + int(e[2]			)
    if c >= 0XE2_8080 and c <= 0XE2_B07F:
     return True
   return False

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


 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple   ,      snake_case	:							Optional[Any]   ,      snake_case	:							List[Any]="\n"			)   ->						Union[str, Any]:

  """simple docstring"""





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




from __future__ import annotations





def    __lowercase     (						lowerCamelCase					:     Optional[Any]  ,  lowerCamelCase					:     Dict  ,  lowerCamelCase					:     Union[str, Any]  ,  lowerCamelCase					:     List[str]	):  # noqa: E741
 while r - l > 1:
  UpperCamelCase_					:						Union[str, Any] =					(l + r) // 2
  if v[m] >= key:
   UpperCamelCase_					:						str =					m
  else:
   UpperCamelCase_					:						List[Any] =					m  # noqa: E741
 return r





def    __lowercase     (						lowerCamelCase					:     list[int]	):
 if len(lowerCamelCase	) == 0:
  return 0

 UpperCamelCase_					:						Tuple =					[0] * len(lowerCamelCase	)
 UpperCamelCase_					:						int =					1

 UpperCamelCase_					:						Dict =					v[0]

 for i in range(1  ,  len(lowerCamelCase	)	):
  if v[i] < tail[0]:
   UpperCamelCase_					:						Any =					v[i]
  elif v[i] > tail[length - 1]:
   UpperCamelCase_					:						Dict =					v[i]
   length += 1
  else:
   UpperCamelCase_					:						List[str] =					v[i]

 return length


if __name__ == "__main__":
   import doctest

   doctest.testmod()



