def 	__lowerCamelCase							(				__a    : int = 1_000		)      ->       int:
	_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())))











from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__ :			Union[str, Any]       	=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__ :			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

				UpperCamelCase__ :			List[Any]       	=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


