





from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader





class A_					(			lowerCamelCase__   ):




   def __init__(self	:Optional[Any]    ,   _UpperCamelCase	:NestedDataStructureLike[PathLike]    ,   _UpperCamelCase	:Optional[NamedSplit] = None    ,   _UpperCamelCase	:Optional[Features] = None    ,   _UpperCamelCase	:str = None    ,   _UpperCamelCase	:bool = False    ,   _UpperCamelCase	:bool = False    ,   _UpperCamelCase	:Optional[int] = None    ,   **_UpperCamelCase	:Optional[int]    ,   )->					List[str]:
         super().__init__(
             lowercase__    ,   split=lowercase__    ,   features=lowercase__    ,   cache_dir=lowercase__    ,   keep_in_memory=lowercase__    ,   streaming=lowercase__    ,   num_proc=lowercase__    ,   **lowercase__    ,   )
         __A          =				path_or_paths if isinstance(lowercase__    ,   lowercase__ ) else {self.split: path_or_paths}
         __A          =				Text(
             cache_dir=lowercase__    ,   data_files=lowercase__    ,   features=lowercase__    ,   **lowercase__    ,   )






   def _lowerCAmelCase      (self	:Tuple )->					Optional[int]:
         # Build iterable dataset
         if self.streaming:
               __A          =				self.builder.as_streaming_dataset(split=self.split )
         # Build regular (map-style) dataset
         else:
               __A          =				None
               __A          =				None
               __A          =				None
               __A          =				None

               self.builder.download_and_prepare(
                   download_config=lowercase__    ,   download_mode=lowercase__    ,   verification_mode=lowercase__    ,   base_path=lowercase__    ,   num_proc=self.num_proc    ,   )
               __A          =				self.builder.as_dataset(
                   split=self.split    ,   verification_mode=lowercase__    ,   in_memory=self.keep_in_memory )
         return dataset








'''simple docstring'''






import os

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


def 		_A     (    A__      ):






 """simple docstring"""



 __lowercase							  = 0

 __lowercase							  = 0
 while index < len(A__      ) - 1:
  __lowercase							  = SYMBOLS[numerals[index]]
  __lowercase							  = 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     (    A__      ):






 """simple docstring"""



 __lowercase							  = ''''''

 __lowercase							  = num // 1000
 numerals += m_count * "M"
 num %= 1000

 __lowercase							  = 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

 __lowercase							  = 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     (    A__ = "/p089_roman.txt"      ):






 """simple docstring"""



 __lowercase							  = 0

 with open(os.path.dirname(A__      ) + roman_numerals_filename      ) as filea:
  __lowercase							  = filea.readlines()

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

 return savings


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

