'''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:			Any	       =       logging.get_logger(__name__)

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

__a:			Optional[int]	       =       {
    """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:			Union[str, Any]	       =       {
    """abeja/gpt-neox-japanese-2.7b""": 20_48,
}
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 with open(UpperCAmelCase		,					'''r'''		,					encoding='''utf-8'''					) as f:
  lowercase__    :   str						= json.loads(f.read()					)

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

 return vocab, raw_vocab, ids_to_tokens, emoji



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE 		=   ["input_ids", "attention_mask"]

       def __init__(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase     ,       __lowerCAmelCase="<|endoftext|>"     ,       __lowerCAmelCase="<|endoftext|>"     ,       __lowerCAmelCase="<|startoftext|>"     ,       __lowerCAmelCase="<|endoftext|>"     ,       __lowerCAmelCase=False     ,       **__lowerCAmelCase     ,       )  ->  List[str]:
        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__    :   Optional[Any]						= do_clean_text
        lowercase__			,							lowercase__			,							lowercase__			,							lowercase__    :   Optional[Any]						= load_vocab_and_emoji(__lowerCAmelCase     ,       __lowerCAmelCase			)
        lowercase__    :   Tuple						= SubWordJapaneseTokenizer(
            vocab=self.vocab     ,       ids_to_tokens=self.ids_to_tokens     ,       emoji=self.emoji			)

       @property
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        # self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
        return len(self.raw_vocab			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        return dict(self.raw_vocab     ,       **self.added_tokens_encoder			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Optional[Any]:
        return self.subword_tokenizer.tokenize(__lowerCAmelCase     ,       clean=self.do_clean_text			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  List[Any]:
        return self.vocab.get(__lowerCAmelCase     ,       self.vocab.get(self.unk_token			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        return self.subword_tokenizer.convert_id_to_token(__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Dict:
        lowercase__    :   Optional[Any]						= ''''''.join(__lowerCAmelCase			).strip()
        return out_string

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  List[int]:
        lowercase__    :   Union[str, Any]						= []
        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__    :   Optional[int]						= input_ids[-self.model_max_length :]
        return input_ids


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None			)  ->  Tuple[str]:
        lowercase__    :   Optional[Any]						= 0
        if os.path.isdir(__lowerCAmelCase			):
         lowercase__    :   List[str]						= os.path.join(
             __lowerCAmelCase     ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
         lowercase__    :   Optional[Any]						= os.path.join(
             __lowerCAmelCase     ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file''']			)
        else:
         lowercase__    :   List[str]						= (
             (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
         )
         lowercase__    :   int						= (
             (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__    :   List[Any]						= 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  (						a__ ):





       '''simple docstring'''



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

       def __len__(						self			)  ->  Optional[int]:
        return len(self.ids_to_tokens			)

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

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

        def check_simbol(__lowerCAmelCase			):
         lowercase__    :   Tuple						= x.encode()
         if len(__lowerCAmelCase			) == 1 and len(__lowerCAmelCase			) == 2:
          lowercase__    :   Tuple						= (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(__lowerCAmelCase			):
         lowercase__    :   Optional[int]						= x.encode()
         if len(__lowerCAmelCase			) == 1 and len(__lowerCAmelCase			) == 3:
          lowercase__    :   Any						= (int(e[0]			) << 16) + (int(e[1]			) << 8) + int(e[2]			)
          if c >= 0XE28080 and c <= 0XE2B07F:
           return True
         return False

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


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase="\n"			)  ->  str:
        lowercase__    :   Union[str, Any]						= []
        lowercase__    :   int						= []
        lowercase__    :   str						= 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__    :   List[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(__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__    :   Dict						= ''''''.join(__lowerCAmelCase			)
        return text


'''simple docstring'''

import re

from filelock import FileLock


try:
  import nltk

  __a:			Tuple	       =       True
except (ImportError, ModuleNotFoundError):
  __a:			List[Any]	       =       False

if NLTK_AVAILABLE:
  with FileLock(""".lock""") as lock:
    nltk.download("""punkt""", quiet=True)
def       __UpperCamelCase	(       UpperCAmelCase					):
 re.sub('''<n>'''		,					''''''		,					UpperCAmelCase					)  # remove pegasus newline char
 assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
 return "\n".join(nltk.sent_tokenize(UpperCAmelCase					)					)

