



"""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


lowercase__		:				List[str]          =	logging.get_logger(__name__)

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

lowercase__		:				Optional[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',
    },
}

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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Optional[Any]    ,   lowerCAmelCase__      :				Dict						)						->   str:

  """simple docstring"""




  with open(lowerCAmelCase__    ,   'r'    ,   encoding='utf-8'						) as f:
    lowerCAmelCase_   :				Tuple								= json.loads(f.read()						)

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

  return vocab, raw_vocab, ids_to_tokens, emoji







class       UpperCamelCase__   (	lowercase_  ):




      """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				:      Any    ,			SCREAMING_SNAKE_CASE_				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]    ,			SCREAMING_SNAKE_CASE_				:      Tuple="<|endoftext|>"    ,			SCREAMING_SNAKE_CASE_				:      List[str]="<|endoftext|>"    ,			SCREAMING_SNAKE_CASE_				:      Any="<|startoftext|>"    ,			SCREAMING_SNAKE_CASE_				:      List[Any]="<|endoftext|>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]=False    ,			**SCREAMING_SNAKE_CASE_				:      Dict    ,			):
        super().__init__(
            unk_token=__UpperCamelCase    ,			pad_token=__UpperCamelCase    ,			bos_token=__UpperCamelCase    ,			eos_token=__UpperCamelCase    ,			do_clean_text=__UpperCamelCase    ,			**__UpperCamelCase    ,			)
        if not os.path.isfile(__UpperCamelCase       ):
          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(__UpperCamelCase       ):
          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)`'       )
        lowerCAmelCase_   :				Optional[int]								= do_clean_text
        lowerCAmelCase_						,lowerCAmelCase_						,lowerCAmelCase_						,lowerCAmelCase_   :				Optional[int]								= load_vocab_and_emoji(__UpperCamelCase    ,			__UpperCamelCase       )
        lowerCAmelCase_   :				str								= SubWordJapaneseTokenizer(
            vocab=self.vocab    ,			ids_to_tokens=self.ids_to_tokens    ,			emoji=self.emoji       )



      @property
      def      SCREAMING_SNAKE_CASE__ (      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      SCREAMING_SNAKE_CASE__ (      self				:      Tuple       ):
        return dict(self.raw_vocab    ,			**self.added_tokens_encoder       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Tuple    ,			SCREAMING_SNAKE_CASE_				:      Tuple       ):
        return self.subword_tokenizer.tokenize(__UpperCamelCase    ,			clean=self.do_clean_text       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]       ):
        return self.vocab.get(__UpperCamelCase    ,			self.vocab.get(self.unk_token       )       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      Any       ):
        return self.subword_tokenizer.convert_id_to_token(__UpperCamelCase       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      Tuple       ):
        lowerCAmelCase_   :				Any								= ''.join(__UpperCamelCase       ).strip()
        return out_string



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]    ,			SCREAMING_SNAKE_CASE_				:      "Conversation"       ):
        lowerCAmelCase_   :				Any								= []
        for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(__UpperCamelCase    ,			add_special_tokens=__UpperCamelCase       ) + [self.eos_token_id]       )

        if len(__UpperCamelCase       ) > self.model_max_length:
          lowerCAmelCase_   :				Optional[int]								= input_ids[-self.model_max_length :]
        return input_ids





      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      Optional[str] = None       ):
        lowerCAmelCase_   :				Dict								= 0
        if os.path.isdir(__UpperCamelCase       ):
          lowerCAmelCase_   :				Union[str, Any]								= os.path.join(
              __UpperCamelCase    ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
          lowerCAmelCase_   :				Any								= os.path.join(
              __UpperCamelCase    ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']       )
        else:
          lowerCAmelCase_   :				List[Any]								= (
              (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
          )
          lowerCAmelCase_   :				Optional[int]								= (
              (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
          )
        with open(__UpperCamelCase    ,			'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!'       )
              lowerCAmelCase_   :				int								= token_index
            writer.write(','.join(__UpperCamelCase       ) + '\n'       )
            index += 1
        with open(__UpperCamelCase    ,			'w'    ,			encoding='utf-8'       ) as writer:
          json.dump(self.emoji    ,			__UpperCamelCase       )
        return vocab_file, emoji_file







class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




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



      def __len__(      self				:      Any       ):
        return len(self.ids_to_tokens       )



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



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

        def check_simbol(SCREAMING_SNAKE_CASE_				:      List[str]       ):
          lowerCAmelCase_   :				Union[str, Any]								= x.encode()
          if len(__UpperCamelCase       ) == 1 and len(__UpperCamelCase       ) == 2:
            lowerCAmelCase_   :				str								= (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_				:      Any       ):
          lowerCAmelCase_   :				Dict								= x.encode()
          if len(__UpperCamelCase       ) == 1 and len(__UpperCamelCase       ) == 3:
            lowerCAmelCase_   :				List[str]								= (int(e[0]       ) << 1_6) + (int(e[1]       ) << 8) + int(e[2]       )
            if c >= 0XE2_80_80 and c <= 0XE2_B0_7F:
              return True
          return False

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





      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      List[str]="\n"       ):
        lowerCAmelCase_   :				str								= []
        lowerCAmelCase_   :				Optional[Any]								= []
        lowerCAmelCase_   :				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(__UpperCamelCase       ) > 0:
            words.append(bytearray(__UpperCamelCase       ).decode('utf-8'    ,			errors='replace'       )       )
            lowerCAmelCase_   :				Optional[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(__UpperCamelCase       )
          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(__UpperCamelCase       )
        if len(__UpperCamelCase       ) > 0:
          words.append(bytearray(__UpperCamelCase       ).decode('utf-8'    ,			errors='replace'       )       )
        lowerCAmelCase_   :				int								= ''.join(__UpperCamelCase       )
        return text












"""simple docstring"""
from math import isqrt, loga






def 					A__				(			UpperCamelCase       ):
							A		=  [True] * max_number
							for i in range(2					,  isqrt(max_number - 1       ) + 1       ):
														if is_prime[i]:
																					for j in range(i**2					,  UpperCamelCase					,  UpperCamelCase       ):
																												A		=  False

							return [i for i in range(2					,  UpperCamelCase       ) if is_prime[i]]






def 					A__				(			UpperCamelCase = 800_800					,  UpperCamelCase = 800_800       ):
							A		=  degree * loga(UpperCamelCase       )
							A		=  int(UpperCamelCase       )
							A		=  calculate_prime_numbers(UpperCamelCase       )

							A		=  0
							A		=  0
							A		=  len(UpperCamelCase       ) - 1
							while left < right:
														while (
														    prime_numbers[right] * loga(prime_numbers[left]       )
														    + prime_numbers[left] * loga(prime_numbers[right]       )
														    > upper_bound
														):
																					right -= 1
														hybrid_integers_count += right - left
														left += 1

							return hybrid_integers_count


if __name__ == "__main__":
		print(F"""{solution() = }""")


