
"""simple docstring"""





import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class A_	(lowercase__      ):




  '''simple docstring'''







  def __init__(		self				,   lowercase_ = "▁"				,   lowercase_ = True				,   lowercase_ = "<unk>"				,   lowercase_ = "</s>"				,   lowercase_ = "<pad>"				,   ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    {
         "pad": {"id": 0, "token": pad_token},
         "eos": {"id": 1, "token": eos_token},
         "unk": {"id": 2, "token": unk_token},
     }

     UpperCAmelCase_					:					Optional[Any]			     =    [None] * len(self.special_tokens  )
     for token_dict in self.special_tokens.values():
        UpperCAmelCase_					:					Any			     =    token_dict["token"]

     UpperCAmelCase_					:					Optional[int]			     =    Tokenizer(Unigram()  )

     UpperCAmelCase_					:					Union[str, Any]			     =    normalizers.Sequence(
         [
             normalizers.Nmt(),
             normalizers.NFKC(),
             normalizers.Replace(Regex(" {2,}"  )				,   " "  ),
             normalizers.Lowercase(),
         ]  )
     UpperCAmelCase_					:					Tuple			     =    pre_tokenizers.Sequence(
         [
             pre_tokenizers.Metaspace(replacement=lowercase_				,   add_prefix_space=lowercase_  ),
             pre_tokenizers.Digits(individual_digits=lowercase_  ),
             pre_tokenizers.Punctuation(),
         ]  )
     UpperCAmelCase_					:					Tuple			     =    decoders.Metaspace(replacement=lowercase_				,   add_prefix_space=lowercase_  )

     UpperCAmelCase_					:					str			     =    TemplateProcessing(
         single=F"""$A {self.special_tokens["eos"]["token"]}"""				,   special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]				,   )

     UpperCAmelCase_					:					Optional[int]			     =    {
         "model": "SentencePieceUnigram",
         "replacement": replacement,
         "add_prefix_space": add_prefix_space,
     }

     super().__init__(lowercase_				,   lowercase_  )







  def        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = 8000				,   lowercase_ = True				,   ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    trainers.UnigramTrainer(
         vocab_size=lowercase_				,   special_tokens=self.special_tokens_list				,   show_progress=lowercase_				,   )

     if isinstance(lowercase_				,   lowercase_  ):
        UpperCAmelCase_					:					List[str]			     =    [files]
     self._tokenizer.train(lowercase_				,   trainer=lowercase_  )

     self.add_unk_id()







  def        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = 8000				,   lowercase_ = True				,   ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[Any]			     =    trainers.UnigramTrainer(
         vocab_size=lowercase_				,   special_tokens=self.special_tokens_list				,   show_progress=lowercase_				,   )

     self._tokenizer.train_from_iterator(lowercase_				,   trainer=lowercase_  )

     self.add_unk_id()







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    json.loads(self._tokenizer.to_str()  )

     UpperCAmelCase_					:					Optional[Any]			     =    self.special_tokens["unk"]["id"]

     UpperCAmelCase_					:					Any			     =    Tokenizer.from_str(json.dumps(lowercase_  )  )




"""simple docstring"""





import os

_a		       =							{'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1_000}







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					Union[str, Any]			     =    0

   UpperCAmelCase_					:					List[str]			     =    0
   while index < len(__lowerCamelCase  ) - 1:
      UpperCAmelCase_					:					Tuple			     =    SYMBOLS[numerals[index]]
      UpperCAmelCase_					:					List[str]			     =    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  ):
   UpperCAmelCase_					:					List[str]			     =    ""

   UpperCAmelCase_					:					Any			     =    num // 1000
   numerals += m_count * "M"
   num %= 1000

   UpperCAmelCase_					:					Any			     =    num // 100
   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 %= 100

   UpperCAmelCase_					:					str			     =    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 = "/p089_roman.txt"  ):
   UpperCAmelCase_					:					int			     =    0

   with open(os.path.dirname(__lowerCamelCase  ) + roman_numerals_filename  ) as filea:
      UpperCAmelCase_					:					Optional[Any]			     =    filea.readlines()

   for line in lines:
      UpperCAmelCase_					:					Tuple			     =    line.strip()
      UpperCAmelCase_					:					Optional[Any]			     =    parse_roman_numerals(__lowerCamelCase  )
      UpperCAmelCase_					:					Tuple			     =    generate_roman_numerals(__lowerCamelCase  )
      savings += len(__lowerCamelCase  ) - len(__lowerCamelCase  )

   return savings


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


