





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase__  :	Dict     ={
    '''configuration_codegen''': ['''CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CodeGenConfig''', '''CodeGenOnnxConfig'''],
    '''tokenization_codegen''': ['''CodeGenTokenizer'''],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	Optional[int]     =['''CodeGenTokenizerFast''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	List[str]     =[
							    '''CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''CodeGenForCausalLM''',
							    '''CodeGenModel''',
							    '''CodeGenPreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
							from .tokenization_codegen import CodeGenTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_codegen_fast import CodeGenTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_codegen import (
														    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    CodeGenForCausalLM,
														    CodeGenModel,
														    CodeGenPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__  :	Tuple     =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













"""simple docstring"""







def 						lowercase__(A = 1_000						)				->int:




						"""simple docstring"""



						lowercase__				:      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)
						lowercase__				:      List[str]=       [0, 0, 6, 6, 5, 5, 5, 7, 6, 6]

						lowercase__				:      Dict=       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())))






