





import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


snake_case__					:							List[Any]													=     logging.get_logger(__name__)
snake_case__					:							Tuple													=     {'vocab_file': 'spiece.model'}

snake_case__					:							int													=     {
    'vocab_file': {
        'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/spiece.model',
        'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/spiece.model',
        'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model',
        'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model',
        'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/spiece.model',
        'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/spiece.model',
        'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model',
        'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model',
    }
}

snake_case__					:							Any													=     {
    'albert-base-v1': 512,
    'albert-large-v1': 512,
    'albert-xlarge-v1': 512,
    'albert-xxlarge-v1': 512,
    'albert-base-v2': 512,
    'albert-large-v2': 512,
    'albert-xlarge-v2': 512,
    'albert-xxlarge-v2': 512,
}

snake_case__					:							Dict													=     '▁'





class A_					(			_lowerCamelCase   ):
   lowerCAmelCase__        = VOCAB_FILES_NAMES
   lowerCAmelCase__        = PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase__        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




   def __init__(self	:Dict    ,   _UpperCamelCase	:Optional[int]    ,   _UpperCamelCase	:Optional[int]=True    ,   _UpperCamelCase	:Optional[int]=True    ,   _UpperCamelCase	:Dict=False    ,   _UpperCamelCase	:Optional[int]="[CLS]"    ,   _UpperCamelCase	:Dict="[SEP]"    ,   _UpperCamelCase	:str="<unk>"    ,   _UpperCamelCase	:Dict="[SEP]"    ,   _UpperCamelCase	:Optional[Any]="<pad>"    ,   _UpperCamelCase	:Union[str, Any]="[CLS]"    ,   _UpperCamelCase	:Tuple="[MASK]"    ,   _UpperCamelCase	:Optional[Dict[str, Any]] = None    ,   **_UpperCamelCase	:Dict    ,   )->					None:
         # Mask token behave like a normal word, i.e. include the space before it and
         # is included in the raw text, there should be a match in a non-normalized sentence.
         __A          =				(
             AddedToken(_UpperCamelCase    ,   lstrip=_UpperCamelCase    ,   rstrip=_UpperCamelCase    ,   normalized=_UpperCamelCase )
             if isinstance(_UpperCamelCase    ,   _UpperCamelCase )
             else mask_token
         )

         __A          =				{} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             do_lower_case=_UpperCamelCase    ,   remove_space=_UpperCamelCase    ,   keep_accents=_UpperCamelCase    ,   bos_token=_UpperCamelCase    ,   eos_token=_UpperCamelCase    ,   unk_token=_UpperCamelCase    ,   sep_token=_UpperCamelCase    ,   pad_token=_UpperCamelCase    ,   cls_token=_UpperCamelCase    ,   mask_token=_UpperCamelCase    ,   sp_model_kwargs=self.sp_model_kwargs    ,   **_UpperCamelCase    ,   )

         __A          =				do_lower_case
         __A          =				remove_space
         __A          =				keep_accents
         __A          =				vocab_file

         __A          =				spm.SentencePieceProcessor(**self.sp_model_kwargs )
         self.sp_model.Load(_UpperCamelCase )




   @property
   def _lowerCAmelCase      (self	:str )->					Tuple:
         return len(self.sp_model )




   def _lowerCAmelCase      (self	:Optional[Any] )->					List[Any]:
         __A          =				{self.convert_ids_to_tokens(_UpperCamelCase ): i for i in range(self.vocab_size )}
         vocab.update(self.added_tokens_encoder )
         return vocab




   def __getstate__(self	:Union[str, Any] )->					List[Any]:
         __A          =				self.__dict__.copy()
         __A          =				None
         return state




   def __setstate__(self	:Dict    ,   _UpperCamelCase	:str )->					Any:
         __A          =				d

         # for backward compatibility
         if not hasattr(self    ,   '''sp_model_kwargs''' ):
               __A          =				{}

         __A          =				spm.SentencePieceProcessor(**self.sp_model_kwargs )
         self.sp_model.Load(self.vocab_file )




   def _lowerCAmelCase      (self	:Optional[Any]    ,   _UpperCamelCase	:Any )->					List[Any]:
         if self.remove_space:
               __A          =				''' '''.join(inputs.strip().split() )
         else:
               __A          =				inputs
         __A          =				outputs.replace('''``'''    ,   '''"''' ).replace('''\'\''''    ,   '''"''' )

         if not self.keep_accents:
               __A          =				unicodedata.normalize('''NFKD'''    ,   _UpperCamelCase )
               __A          =				''''''.join([c for c in outputs if not unicodedata.combining(_UpperCamelCase )] )
         if self.do_lower_case:
               __A          =				outputs.lower()

         return outputs




   def _lowerCAmelCase      (self	:Any    ,   _UpperCamelCase	:str )->					List[str]:
         __A          =				self.preprocess_text(_UpperCamelCase )
         __A          =				self.sp_model.encode(_UpperCamelCase    ,   out_type=_UpperCamelCase )
         __A          =				[]
         for piece in pieces:
               if len(_UpperCamelCase ) > 1 and piece[-1] == str(''',''' ) and piece[-2].isdigit():
                     __A          =				self.sp_model.EncodeAsPieces(piece[:-1].replace(_UpperCamelCase    ,   '''''' ) )
                     if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                           if len(cur_pieces[0] ) == 1:
                                 __A          =				cur_pieces[1:]
                           else:
                                 __A          =				cur_pieces[0][1:]
                     cur_pieces.append(piece[-1] )
                     new_pieces.extend(_UpperCamelCase )
               else:
                     new_pieces.append(_UpperCamelCase )

         return new_pieces




   def _lowerCAmelCase      (self	:Any    ,   _UpperCamelCase	:int )->					Optional[Any]:
         return self.sp_model.PieceToId(_UpperCamelCase )




   def _lowerCAmelCase      (self	:Tuple    ,   _UpperCamelCase	:int )->					Union[str, Any]:
         return self.sp_model.IdToPiece(_UpperCamelCase )




   def _lowerCAmelCase      (self	:List[Any]    ,   _UpperCamelCase	:Tuple )->					Any:
         __A          =				[]
         __A          =				''''''
         __A          =				False
         for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                     if not prev_is_special:
                           out_string += " "
                     out_string += self.sp_model.decode(_UpperCamelCase ) + token
                     __A          =				True
                     __A          =				[]
               else:
                     current_sub_tokens.append(_UpperCamelCase )
                     __A          =				False
         out_string += self.sp_model.decode(_UpperCamelCase )
         return out_string.strip()




   def _lowerCAmelCase      (self	:Tuple    ,   _UpperCamelCase	:List[int]    ,   _UpperCamelCase	:Optional[List[int]] = None )->					List[int]:
         __A          =				[self.sep_token_id]
         __A          =				[self.cls_token_id]
         if token_ids_a is None:
               return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep




   def _lowerCAmelCase      (self	:List[Any]    ,   _UpperCamelCase	:List[int]    ,   _UpperCamelCase	:Optional[List[int]] = None    ,   _UpperCamelCase	:bool = False )->					List[int]:

         if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=_UpperCamelCase    ,   token_ids_a=_UpperCamelCase    ,   already_has_special_tokens=_UpperCamelCase )

         if token_ids_a is not None:
               return [1] + ([0] * len(_UpperCamelCase )) + [1] + ([0] * len(_UpperCamelCase )) + [1]
         return [1] + ([0] * len(_UpperCamelCase )) + [1]




   def _lowerCAmelCase      (self	:Optional[Any]    ,   _UpperCamelCase	:List[int]    ,   _UpperCamelCase	:Optional[List[int]] = None )->					List[int]:
         __A          =				[self.sep_token_id]
         __A          =				[self.cls_token_id]

         if token_ids_a is None:
               return len(cls + token_ids_a + sep ) * [0]
         return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]






   def _lowerCAmelCase      (self	:Union[str, Any]    ,   _UpperCamelCase	:str    ,   _UpperCamelCase	:Optional[str] = None )->					Tuple[str]:
         if not os.path.isdir(_UpperCamelCase ):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
               return
         __A          =				os.path.join(
             _UpperCamelCase    ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

         if os.path.abspath(self.vocab_file ) != os.path.abspath(_UpperCamelCase ) and os.path.isfile(self.vocab_file ):
               copyfile(self.vocab_file    ,   _UpperCamelCase )
         elif not os.path.isfile(self.vocab_file ):
               with open(_UpperCamelCase    ,   '''wb''' ) as fi:
                     __A          =				self.sp_model.serialized_model_proto()
                     fi.write(_UpperCamelCase )

         return (out_vocab_file,)












import os

snake_case__					:							Any													=     {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}



def _a				(	lowerCamelCase:   str )	->						int:







      '''simple docstring'''






      __A          =				0

      __A          =				0
      while index < len(lowerCamelCase ) - 1:
            __A          =				SYMBOLS[numerals[index]]
            __A          =				SYMBOLS[numerals[index + 1]]
            if current_value < next_value:
                  total_value -= current_value
            else:
                  total_value += current_value
            index += 1
      total_value += SYMBOLS[numerals[index]]

      return total_value



def _a				(	lowerCamelCase:   int )	->						str:







      '''simple docstring'''






      __A          =				''''''

      __A          =				num // 10_00
      numerals += m_count * "M"
      num %= 10_00

      __A          =				num // 1_00
      if c_count == 9:
            numerals += "CM"
            c_count -= 9
      elif c_count == 4:
            numerals += "CD"
            c_count -= 4
      if c_count >= 5:
            numerals += "D"
            c_count -= 5
      numerals += c_count * "C"
      num %= 1_00

      __A          =				num // 10
      if x_count == 9:
            numerals += "XC"
            x_count -= 9
      elif x_count == 4:
            numerals += "XL"
            x_count -= 4
      if x_count >= 5:
            numerals += "L"
            x_count -= 5
      numerals += x_count * "X"
      num %= 10

      if num == 9:
            numerals += "IX"
            num -= 9
      elif num == 4:
            numerals += "IV"
            num -= 4
      if num >= 5:
            numerals += "V"
            num -= 5
      numerals += num * "I"

      return numerals



def _a				(	lowerCamelCase:   str = "/p089_roman.txt" )	->						int:







      '''simple docstring'''






      __A          =				0

      with open(os.path.dirname(lowerCamelCase ) + roman_numerals_filename ) as filea:
            __A          =				filea.readlines()

      for line in lines:
            __A          =				line.strip()
            __A          =				parse_roman_numerals(lowerCamelCase )
            __A          =				generate_roman_numerals(lowerCamelCase )
            savings += len(lowerCamelCase ) - len(lowerCamelCase )

      return savings


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





