






import os

UpperCAmelCase__							  =						{"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000}
def 		_a       ( a					:str					)				->     int:
 a						    = 0

 a						    = 0
 while index < len(a					) - 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       ( a					:int					)				->     str:
 a						    = ''''''

 a						    = num // 1_000
 numerals += m_count * "M"
 num %= 1_000

 a						    = 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

 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       ( a					:str = "/p089_roman.txt"					)				->     int:
 a						    = 0

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

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

 return savings


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










from ... import PretrainedConfig


UpperCAmelCase__							  =						{
    "sijunhe/nezha-cn-base": "https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json",
}






class 						lowercase_   (      lowercase  ):






      '''simple docstring'''




      __snake_case	    =    NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
      __snake_case	    =    '''nezha'''







      def __init__( self :		Union[str, Any]					,   __UpperCAmelCase :		List[str]=21_128					,   __UpperCAmelCase :		Any=768					,   __UpperCAmelCase :		int=12					,   __UpperCAmelCase :		Optional[int]=12					,   __UpperCAmelCase :		Tuple=3_072					,   __UpperCAmelCase :		Union[str, Any]="gelu"					,   __UpperCAmelCase :		List[str]=0.1					,   __UpperCAmelCase :		Any=0.1					,   __UpperCAmelCase :		str=512					,   __UpperCAmelCase :		List[Any]=64					,   __UpperCAmelCase :		Tuple=2					,   __UpperCAmelCase :		List[Any]=0.02					,   __UpperCAmelCase :		List[str]=1e-1_2					,   __UpperCAmelCase :		int=0.1					,   __UpperCAmelCase :		Dict=0					,   __UpperCAmelCase :		Any=2					,   __UpperCAmelCase :		Optional[Any]=3					,   __UpperCAmelCase :		int=True					,   **__UpperCAmelCase :		Optional[Any]					,   )       ->Any:




       """simple docstring"""


       super().__init__(pad_token_id=__UpperCAmelCase					,   bos_token_id=__UpperCAmelCase					,   eos_token_id=__UpperCAmelCase					,   **__UpperCAmelCase    )

       a						    = vocab_size
       a						    = hidden_size
       a						    = num_hidden_layers
       a						    = num_attention_heads
       a						    = hidden_act
       a						    = intermediate_size
       a						    = hidden_dropout_prob
       a						    = attention_probs_dropout_prob
       a						    = max_position_embeddings
       a						    = max_relative_position
       a						    = type_vocab_size
       a						    = initializer_range
       a						    = layer_norm_eps
       a						    = classifier_dropout
       a						    = use_cache


