

def  UpperCamelCase_(							_snake_case     :						int = 1000			):




			"""simple docstring"""






			__a						   =[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)
			__a						   =[0, 0, 6, 6, 5, 5, 5, 7, 6, 6]

			__a						   =0

			for i in range(1 ,  n + 1			):
						if i < 1000:
									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 // 1000] + 8
			return count


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









from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


_lowerCAmelCase      :    List[Any]						       =    [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase      :    List[str]						       =    get_logger(__name__)


_lowerCAmelCase      :    Tuple						       =    {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}






def  UpperCamelCase_(							_snake_case     :						dict			):




			"""simple docstring"""






			__a						   =task_template_dict.get('task'			)
			if task_name is None:
						logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_snake_case			)}'			)
						return None
			__a						   =NAMEaTEMPLATE.get(_snake_case			)
			return template.from_dict(_snake_case			)






