






'''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


SCREAMING_SNAKE_CASE__											=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__											=     {'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

SCREAMING_SNAKE_CASE__											=     {
    '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',
    },
}

SCREAMING_SNAKE_CASE__											=     {
    'abeja/gpt-neox-japanese-2.7b': 2_0_4_8,
}







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase					)->				int:
      with open(__UpperCamelCase	,		"""r"""	,		encoding="""utf-8"""					) as f:
            UpperCamelCase       						=      json.loads(f.read()					)

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

      return vocab, raw_vocab, ids_to_tokens, emoji






class        a_		(    lowerCamelCase       ):
  lowercase  	=   VOCAB_FILES_NAMES
  lowercase  	=   PRETRAINED_VOCAB_FILES_MAP
  lowercase  	=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase  	=   ["""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    ,	)						->   Union[str, Any]:



        """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)`"""   )
        UpperCamelCase       						=      do_clean_text
        UpperCamelCase						,UpperCamelCase						,UpperCamelCase						,UpperCamelCase       						=      load_vocab_and_emoji(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )
        UpperCamelCase       						=      SubWordJapaneseTokenizer(
            vocab=self.vocab    ,	ids_to_tokens=self.ids_to_tokens    ,	emoji=self.emoji   )

  @property
  def 						A__		(   self   )						->   List[str]:



        """simple docstring"""






        return len(self.raw_vocab   )

  def 						A__		(   self   )						->   Any:



        """simple docstring"""






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

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   Union[str, Any]:



        """simple docstring"""






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

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   int:



        """simple docstring"""






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

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   Optional[Any]:



        """simple docstring"""






        return self.subword_tokenizer.convert_id_to_token(_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   Optional[Any]:



        """simple docstring"""






        UpperCamelCase       						=      """""".join(_SCREAMING_SNAKE_CASE   ).strip()
        return out_string

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   List[int]:



        """simple docstring"""






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


  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = None   )						->   Tuple[str]:



        """simple docstring"""






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

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )						->   Tuple:



        """simple docstring"""






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

  def __len__(   self   )						->   List[Any]:



        """simple docstring"""






        return len(self.ids_to_tokens   )

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   Dict:



        """simple docstring"""






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

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE=False   )						->   int:



        """simple docstring"""






        UpperCamelCase       						=      text.replace(""" """    ,	"""<SP>"""   )
        UpperCamelCase       						=      text.replace("""　"""    ,	"""<SP>"""   )
        UpperCamelCase       						=      text.replace("""\r\n"""    ,	"""<BR>"""   )
        UpperCamelCase       						=      text.replace("""\n"""    ,	"""<BR>"""   )
        UpperCamelCase       						=      text.replace("""\r"""    ,	"""<BR>"""   )
        UpperCamelCase       						=      text.replace("""\t"""    ,	"""<TAB>"""   )
        UpperCamelCase       						=      text.replace("""—"""    ,	"""ー"""   )
        UpperCamelCase       						=      text.replace("""−"""    ,	"""ー"""   )
        for k, v in self.emoji["emoji"].items():
              if k in text:
                    UpperCamelCase       						=      text.replace(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )
        if clean:
              UpperCamelCase       						=      self.clean_text(_SCREAMING_SNAKE_CASE   )

        def check_simbol(_SCREAMING_SNAKE_CASE   ):
              UpperCamelCase       						=      x.encode()
              if len(_SCREAMING_SNAKE_CASE   ) == 1 and len(_SCREAMING_SNAKE_CASE   ) == 2:
                    UpperCamelCase       						=      (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   ):
              UpperCamelCase       						=      x.encode()
              if len(_SCREAMING_SNAKE_CASE   ) == 1 and len(_SCREAMING_SNAKE_CASE   ) == 3:
                    UpperCamelCase       						=      (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

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


  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE="\n"   )						->   List[Any]:



        """simple docstring"""






        UpperCamelCase       						=      []
        UpperCamelCase       						=      []
        UpperCamelCase       						=      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"""   )   )
                    UpperCamelCase       						=      []
              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"""   )   )
        UpperCamelCase       						=      """""".join(_SCREAMING_SNAKE_CASE   )
        return text








'''simple docstring'''

from __future__ import annotations







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase					)->				tuple[float, list[float]]:
      UpperCamelCase       						=      list(range(len(__UpperCamelCase					)					)					)
      UpperCamelCase       						=      [v / w for v, w in zip(__UpperCamelCase	,		__UpperCamelCase					)]
      index.sort(key=lambda __UpperCamelCase					: ratio[i]	,		reverse=__UpperCamelCase					)

      UpperCamelCase       						=      0
      UpperCamelCase       						=      [0] * len(__UpperCamelCase					)
      for i in index:
            if weight[i] <= capacity:
                  UpperCamelCase       						=      1
                  max_value += value[i]
                  capacity -= weight[i]
            else:
                  UpperCamelCase       						=      capacity / weight[i]
                  max_value += value[i] * capacity / weight[i]
                  break

      return max_value, fractions


if __name__ == "__main__":
     import doctest

     doctest.testmod()
