



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__      :				Optional[int]   	=			logging.get_logger(__name__)

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

a__      :				List[Any]   	=			{
    "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__      :				Dict   	=			{
    "abeja/gpt-neox-japanese-2.7b": 20_48,
}

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

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

      return vocab, raw_vocab, ids_to_tokens, emoji



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  Tuple       				=    VOCAB_FILES_NAMES
   A    :  str       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  Optional[int]       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  Optional[Any]       				=    ["input_ids", "attention_mask"]


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




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


   @property
   def 			UpperCAmelCase		(						self  :			Any)	->				List[Any]:




         """simple docstring"""

         return len(self.raw_vocab)


   def 			UpperCAmelCase		(						self  :			str)	->				str:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			Any			,				lowerCAmelCase  :			Dict)	->				Tuple:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			Optional[int])	->				Dict:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			List[Any])	->				List[str]:




         """simple docstring"""

         return self.subword_tokenizer.convert_id_to_token(lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Tuple			,				lowerCAmelCase  :			Optional[int])	->				str:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			"Conversation")	->				List[int]:




         """simple docstring"""

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



   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			Optional[str] = None)	->				Tuple[str]:




         """simple docstring"""

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

   '''simple docstring'''




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




         """simple docstring"""

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


   def __len__(						self  :			Dict)	->				Dict:




         """simple docstring"""

         return len(self.ids_to_tokens)


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			Dict)	->				Any:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			Optional[int]			,				lowerCAmelCase  :			str=False)	->				Tuple:




         """simple docstring"""

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

         def check_simbol(lowerCAmelCase  :			str):
               lowercase__     =  x.encode()
               if len(lowerCAmelCase) == 1 and len(lowerCAmelCase) == 2:
                     lowercase__     =  (int(e[0]) << 8) + int(e[1])
                     if (
                         (c >= 0XC_2_A_1 and c <= 0XC_2_B_F)
                         or (c >= 0XC_7_8_0 and c <= 0XC_7_8_3)
                         or (c >= 0XC_A_B_9 and c <= 0XC_B_B_F)
                         or (c >= 0XC_C_8_0 and c <= 0XC_D_A_2)
                     ):
                           return True
               return False

         def checkuae(lowerCAmelCase  :			Optional[Any]):
               lowercase__     =  x.encode()
               if len(lowerCAmelCase) == 1 and len(lowerCAmelCase) == 3:
                     lowercase__     =  (int(e[0]) << 16) + (int(e[1]) << 8) + int(e[2])
                     if c >= 0XE_2_8_0_8_0 and c <= 0XE_2_B_0_7_F:
                           return True
               return False

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



   def 			UpperCAmelCase		(						self  :			Any			,				lowerCAmelCase  :			Any			,				lowerCAmelCase  :			List[Any]="\n")	->				Optional[int]:




         """simple docstring"""

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





from __future__ import annotations

def   _lowerCAmelCase   (						A__						,  A__	):
      if b == 0:
            return (1, 0)
      ((lowercase__),	(lowercase__))     =  extended_euclid(A__						,  a % b	)
      lowercase__     =  a // b
      return (y, x - k * y)

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__	):
      ((lowercase__),	(lowercase__))     =  extended_euclid(A__						,  A__	)
      lowercase__     =  na * na
      lowercase__     =  ra * x * na + ra * y * na
      return (n % m + m) % m

def   _lowerCAmelCase   (						A__						,  A__	):
      ((lowercase__),	(lowercase__))     =  extended_euclid(A__						,  A__	)
      if b < 0:
            lowercase__     =  (b % n + n) % n
      return b

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__	):
      lowercase__,	lowercase__     =  invert_modulo(A__						,  A__	), invert_modulo(A__						,  A__	)
      lowercase__     =  na * na
      lowercase__     =  ra * x * na + ra * y * na
      return (n % m + m) % m


if __name__ == "__main__":
       from doctest import testmod

       testmod(name="chinese_remainder_theorem", verbose=True)
       testmod(name="chinese_remainder_theorem2", verbose=True)
       testmod(name="invert_modulo", verbose=True)
       testmod(name="extended_euclid", verbose=True)
