




'''simple docstring'''





def       SCREAMING_SNAKE_CASE							(     __UpperCamelCase = 10_00)    ->  int:
     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 < 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())))







from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available




@dataclass
class     a__ (      UpperCamelCase__   ):
     a	:    Union[List[PIL.Image.Image], np.ndarray]


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
   from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
   from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline

