code: 
  
  
  '''simple docstring'''
  
  def _SCREAMING_SNAKE_CASE   (A = 1_000 ) -> int:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				[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)
         lowercase__       =				[0, 0, 6, 6, 5, 5, 5, 7, 6, 6]
  
         lowercase__       =				0
  
         for i in range(1						,				n + 1 ):
                if i < 1_000:
                       if i >= 100:
                              # add number of letters for "n hundred"
                              count += ones_counts[i // 100] + 7
  
                              if i % 100 != 0:
                                     # add number of letters for "and" if number is not multiple
                                     # of 100
                                     count += 3
  
                       if 0 < i % 100 < 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 % 100]
                       else:
                              # add number of letters for twenty, twenty one, ..., ninety
                              # nine
                              count += ones_counts[i % 10]
                              count += tens_counts[(i % 100 - i % 10) // 10]
                else:
                       count += ones_counts[i // 1_000] + 8
         return count
  
  
  if __name__ == "__main__":
   print(solution(int(input().strip())))
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  lowerCamelCase							:     Optional[Any]								=			{
      'configuration_mobilevitv2': [
          'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'MobileViTV2Config',
          'MobileViTV2OnnxConfig',
      ],
  }
  
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   lowerCamelCase							:     Optional[int]								=			[
       'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
       'MobileViTV2ForImageClassification',
       'MobileViTV2ForSemanticSegmentation',
       'MobileViTV2Model',
       'MobileViTV2PreTrainedModel',
   ]
  
  if TYPE_CHECKING:
   from .configuration_mobilevitva import (
       MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
       MobileViTVaConfig,
       MobileViTVaOnnxConfig,
   )
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_mobilevitva import (
        MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
        MobileViTVaForImageClassification,
        MobileViTVaForSemanticSegmentation,
        MobileViTVaModel,
        MobileViTVaPreTrainedModel,
    )
  
  else:
   import sys
  
   lowerCamelCase							:     Dict								=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  