






'''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_048,
}


def 							lowercase_				(    __A :       List[Any]					,      __A :       List[str]			)       ->      List[Any]:



 """simple docstring"""




 with open(__A					,      '''r'''					,      encoding='''utf-8'''			) as f:
  lowercase					:   List[Any]				  =json.loads(f.read()			)

 lowercase					:   Any				  =collections.OrderedDict()
 lowercase					:   Dict				  =collections.OrderedDict()
 lowercase					:   List[str]				  =collections.OrderedDict()
 with open(__A					,      '''r'''					,      encoding='''utf-8'''			) as f:
  lowercase					:   List[Any]				  =f.readlines()
 lowercase					:   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(__A			):
  lowercase					:   Optional[int]				  =b
  lowercase					:   Any				  =idx
  for wd in b:
   lowercase					:   Any				  =idx

 return vocab, raw_vocab, ids_to_tokens, emoji
class UpperCAmelCase_					(    __A				):




      """simple docstring"""




      UpperCamelCase_								=			VOCAB_FILES_NAMES
      UpperCamelCase_								=			PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_								=			['''input_ids''', '''attention_mask''']






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


       '''simple docstring'''

       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)`'''		)
       lowercase					:   str				  =do_clean_text
       lowercase  ,		lowercase  ,		lowercase  ,		lowercase					:   int				  =load_vocab_and_emoji(UpperCAmelCase     ,      UpperCAmelCase		)
       lowercase					:   Optional[int]				  =SubWordJapaneseTokenizer(
           vocab=self.vocab     ,      ids_to_tokens=self.ids_to_tokens     ,      emoji=self.emoji		)






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


       '''simple docstring'''

       return len(self.raw_vocab		)






      def 				A__      ( self			:		Tuple		)  ->  Any:


       '''simple docstring'''

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






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


       '''simple docstring'''

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






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


       '''simple docstring'''

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






      def 				A__      ( self			:		int     ,      UpperCAmelCase			:		List[str]		)  ->  Tuple:


       '''simple docstring'''

       return self.subword_tokenizer.convert_id_to_token(UpperCAmelCase		)






      def 				A__      ( self			:		str     ,      UpperCAmelCase			:		Optional[Any]		)  ->  Optional[int]:


       '''simple docstring'''

       lowercase					:   str				  =''''''.join(UpperCAmelCase		).strip()
       return out_string






      def 				A__      ( self			:		Any     ,      UpperCAmelCase			:		"Conversation"		)  ->  List[int]:


       '''simple docstring'''

       lowercase					:   List[str]				  =[]
       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:
        lowercase					:   Dict				  =input_ids[-self.model_max_length :]
       return input_ids






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


       '''simple docstring'''

       lowercase					:   Optional[Any]				  =0
       if os.path.isdir(UpperCAmelCase		):
        lowercase					:   Dict				  =os.path.join(
            UpperCAmelCase     ,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
        lowercase					:   Union[str, Any]				  =os.path.join(
            UpperCAmelCase     ,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file''']		)
       else:
        lowercase					:   int				  =(
            (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
        )
        lowercase					:   Union[str, Any]				  =(
            (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!'''		)
          lowercase					:   str				  =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_					(    __A				):




      """simple docstring"""




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


       '''simple docstring'''

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






      def __len__( self			:		Union[str, Any]		)  ->  int:


       '''simple docstring'''

       return len(self.ids_to_tokens		)






      def 				A__      ( self			:		Optional[Any]     ,      UpperCAmelCase			:		str		)  ->  List[str]:


       '''simple docstring'''

       lowercase					:   str				  =self.content_repattera.sub('''<URL>'''     ,      UpperCAmelCase		)
       lowercase					:   int				  =self.content_repattera.sub('''<EMAIL>'''     ,      UpperCAmelCase		)
       lowercase					:   List[Any]				  =self.content_repattera.sub('''<TEL>'''     ,      UpperCAmelCase		)
       lowercase					:   List[Any]				  =self.content_repattera.sub('''<DATE>'''     ,      UpperCAmelCase		)
       lowercase					:   Dict				  =self.content_repattera.sub('''<DATE>'''     ,      UpperCAmelCase		)
       lowercase					:   Any				  =self.content_repattera.sub('''<PRICE>'''     ,      UpperCAmelCase		)
       lowercase					:   Union[str, Any]				  =content.translate(self.content_transa		)
       while "<BLOCK><BLOCK>" in content:
        lowercase					:   Dict				  =content.replace('''<BLOCK><BLOCK>'''     ,      '''<BLOCK>'''		)
       return content






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


       '''simple docstring'''

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

       def check_simbol(UpperCAmelCase			:		Optional[Any]		):
        lowercase					:   List[str]				  =x.encode()
        if len(UpperCAmelCase		) == 1 and len(UpperCAmelCase		) == 2:
         lowercase					:   Any				  =(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(UpperCAmelCase			:		str		):
        lowercase					:   Tuple				  =x.encode()
        if len(UpperCAmelCase		) == 1 and len(UpperCAmelCase		) == 3:
         lowercase					:   Dict				  =(int(e[0]		) << 16) + (int(e[1]		) << 8) + int(e[2]		)
         if c >= 0XE28_080 and c <= 0XE2B_07F:
          return True
        return False

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






      def 				A__      ( self			:		Union[str, Any]     ,      UpperCAmelCase			:		List[Any]     ,      UpperCAmelCase			:		Optional[Any]="\n"		)  ->  Union[str, Any]:


       '''simple docstring'''

       lowercase					:   List[str]				  =[]
       lowercase					:   Any				  =[]
       lowercase					:   Any				  =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'''		)		)
         lowercase					:   Tuple				  =[]
        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'''		)		)
       lowercase					:   Union[str, Any]				  =''''''.join(UpperCAmelCase		)
       return text











'''simple docstring'''



def 							lowercase_				(    __A :       float					,      __A :       int			)       ->      float:



 """simple docstring"""




 if digit_amount > 0:
  return round(number - int(__A			)					,      __A			)
 return number - int(__A			)


if __name__ == "__main__":
      print(decimal_isolate(1.53, 0))
      print(decimal_isolate(35.345, 1))
      print(decimal_isolate(35.345, 2))
      print(decimal_isolate(35.345, 3))
      print(decimal_isolate(-14.789, 3))
      print(decimal_isolate(0, 2))
      print(decimal_isolate(-14.123, 1))
      print(decimal_isolate(-14.123, 2))
      print(decimal_isolate(-14.123, 3))



