

def _a			(	SCREAMING_SNAKE_CASE		:      int = 10_00		)   ->   int:

 """simple docstring"""






 __lowerCAmelCase:       Union[str, Any]            =				[0, 3, 3, 5, 4, 4, 3, 5, 5, 4, 3, 6, 6, 8, 8, 7, 7, 9, 8, 8]
 # number of letters in twenty, thirty, ..., ninety (0 for numbers less than
 # 20 due to inconsistency in teens)
 __lowerCAmelCase:       Union[str, Any]            =				[0, 0, 6, 6, 5, 5, 5, 7, 6, 6]

 __lowerCAmelCase:       Optional[int]            =				0

 for i in range(1   , n + 1		):
  if i < 10_00:
   if i >= 1_00:
    # add number of letters for "n hundred"
    count += ones_counts[i // 1_00] + 7

    if i % 1_00 != 0:
     # add number of letters for "and" if number is not multiple
     # of 100
     count += 3

   if 0 < i % 1_00 < 20:
    # add number of letters for one, two, three, ..., nineteen
    # (could be combined with below if not for inconsistency in
    # teens)
    count += ones_counts[i % 1_00]
   else:
    # add number of letters for twenty, twenty one, ..., ninety
    # nine
    count += ones_counts[i % 10]
    count += tens_counts[(i % 1_00 - i % 10) // 10]
  else:
   count += ones_counts[i // 10_00] + 8
 return count


if __name__ == "__main__":
  print(solution(int(input().strip())))








import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig






class 							A_			(		snake_case__ ):
     _lowercase      :					Any       =     CustomConfig


     def __init__(							self      :		List[Any]      ,  UpperCAmelCase      :		Optional[Any] )							->     int:
      super().__init__(UpperCAmelCase )
      __lowerCAmelCase:       Tuple            =				torch.nn.Linear(config.hidden_size      ,  config.hidden_size )


     def   UpperCAmelCase  (							self      :		Optional[int]      ,  UpperCAmelCase      :		Tuple )							->     Union[str, Any]:
      return self.linear(UpperCAmelCase )


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







class 							A_			(		snake_case__ ):
     _lowercase      :					str       =     NoSuperInitConfig


     def __init__(							self      :		List[Any]      ,  UpperCAmelCase      :		Union[str, Any] )							->     int:
      super().__init__(UpperCAmelCase )
      __lowerCAmelCase:       int            =				torch.nn.Linear(config.attribute      ,  config.attribute )


     def   UpperCAmelCase  (							self      :		Tuple      ,  UpperCAmelCase      :		Tuple )							->     Tuple:
      return self.linear(UpperCAmelCase )


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





