


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': 20_48,
}
def 							_UpperCAmelCase				(UpperCamelCase__     :  Union[str, Any]				,							UpperCamelCase__     :  int						):
       with open(UpperCamelCase__				,							"r"				,							encoding="utf-8"						) as f:
              _A      :       Tuple				    = json.loads(f.read()						)

       _A      :       str				    = collections.OrderedDict()
       _A      :       Union[str, Any]				    = collections.OrderedDict()
       _A      :       Union[str, Any]				    = collections.OrderedDict()
       with open(UpperCamelCase__				,							"r"				,							encoding="utf-8"						) as f:
              _A      :       Any				    = f.readlines()
       _A      :       List[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__						):
              _A      :       Optional[Any]				    = b
              _A      :       List[str]				    = idx
              for wd in b:
                     _A      :       Union[str, Any]				    = idx

       return vocab, raw_vocab, ids_to_tokens, emoji







class      lowerCAmelCase__       (				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 ,						)			->				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)`")
            _A      :       Optional[int]				    = do_clean_text
            _A    ,			_A    ,			_A    ,			_A      :       Any				    = load_vocab_and_emoji(__lowerCamelCase ,						__lowerCamelCase)
            _A      :       Union[str, Any]				    = 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)			->				Union[str, Any]:
            return dict(self.raw_vocab ,						**self.added_tokens_encoder)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				Union[str, Any]:
            return self.subword_tokenizer.tokenize(__lowerCamelCase ,						clean=self.do_clean_text)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				Union[str, Any]:
            return self.vocab.get(__lowerCamelCase ,						self.vocab.get(self.unk_token))


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				List[Any]:
            return self.subword_tokenizer.convert_id_to_token(__lowerCamelCase)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				List[Any]:
            _A      :       List[str]				    = "".join(__lowerCamelCase).strip()
            return out_string


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				List[int]:
            _A      :       Optional[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:
                   _A      :       List[Any]				    = input_ids[-self.model_max_length :]
            return input_ids


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase = None)			->				Tuple[str]:
            _A      :       Optional[Any]				    = 0
            if os.path.isdir(__lowerCamelCase):
                   _A      :       Optional[int]				    = os.path.join(
                       __lowerCamelCase ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
                   _A      :       List[str]				    = os.path.join(
                       __lowerCamelCase ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"])
            else:
                   _A      :       Union[str, Any]				    = (
                       (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
                   )
                   _A      :       Dict				    = (
                       (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!")
                                 _A      :       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      lowerCAmelCase__       (				a):




     '''simple docstring'''


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


     def __len__(						self)			->				str:
            return len(self.ids_to_tokens)


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


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase=False)			->				List[str]:
            _A      :       Tuple				    = text.replace(" " ,						"<SP>")
            _A      :       Tuple				    = text.replace("　" ,						"<SP>")
            _A      :       List[Any]				    = text.replace("\r\n" ,						"<BR>")
            _A      :       Any				    = text.replace("\n" ,						"<BR>")
            _A      :       Optional[Any]				    = text.replace("\r" ,						"<BR>")
            _A      :       str				    = text.replace("\t" ,						"<TAB>")
            _A      :       List[Any]				    = text.replace("—" ,						"ー")
            _A      :       List[Any]				    = text.replace("−" ,						"ー")
            for k, v in self.emoji["emoji"].items():
                   if k in text:
                          _A      :       Tuple				    = text.replace(__lowerCamelCase ,						__lowerCamelCase)
            if clean:
                   _A      :       Union[str, Any]				    = self.clean_text(__lowerCamelCase)

            def check_simbol(__lowerCamelCase):
                   _A      :       Optional[int]				    = x.encode()
                   if len(__lowerCamelCase) == 1 and len(__lowerCamelCase) == 2:
                          _A      :       int				    = (int(e[0]) << 8) + int(e[1])
                          if (
                              (c >= 0xc_2a1 and c <= 0xc_2bf)
                              or (c >= 0xc_780 and c <= 0xc_783)
                              or (c >= 0xc_ab9 and c <= 0xc_bbf)
                              or (c >= 0xc_c80 and c <= 0xc_da2)
                          ):
                                 return True
                   return False

            def checkuae(__lowerCamelCase):
                   _A      :       Optional[Any]				    = x.encode()
                   if len(__lowerCamelCase) == 1 and len(__lowerCamelCase) == 3:
                          _A      :       Any				    = (int(e[0]) << 1_6) + (int(e[1]) << 8) + int(e[2])
                          if c >= 0xe28_080 and c <= 0xe2b_07f:
                                 return True
                   return False

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


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase="\n")			->				List[str]:
            _A      :       Union[str, Any]				    = []
            _A      :       int				    = []
            _A      :       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(__lowerCamelCase) > 0:
                          words.append(bytearray(__lowerCamelCase).decode("utf-8" ,						errors="replace"))
                          _A      :       str				    = []
                   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"))
            _A      :       Optional[Any]				    = "".join(__lowerCamelCase)
            return text




from __future__ import annotations
def 							_UpperCAmelCase				(UpperCamelCase__     :  list[int]				,							UpperCamelCase__     :  list[int]				,							UpperCamelCase__     :  int						):
       _A      :       Dict				    = list(range(len(UpperCamelCase__						)						)						)
       _A      :       Any				    = [v / w for v, w in zip(UpperCamelCase__				,							UpperCamelCase__						)]
       index.sort(key=lambda UpperCamelCase__						: ratio[i]				,							reverse=UpperCamelCase__						)

       _A      :       float				    = 0
       _A      :       list[float]				    = [0] * len(UpperCamelCase__						)
       for i in index:
              if weight[i] <= capacity:
                     _A      :       Union[str, Any]				    = 1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     _A      :       Optional[Any]				    = capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
    import doctest

    doctest.testmod()
