'''simple docstring'''




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

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
class 				a__(					__snake_case	):


			'''simple docstring'''






			UpperCAmelCase_			:     Union[List[PIL.Image.Image], np.ndarray]
			UpperCAmelCase_			:     Optional[List[bool]]


if is_transformers_available() and is_torch_available():
						from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline







"""simple docstring"""


def     a__    (    __SCREAMING_SNAKE_CASE )	->	int:
		__lowerCAmelCase:       Optional[Any]          =			1
		for i in range(1					, num + 1 ):
				fact *= i
		return fact






def     a__    (    __SCREAMING_SNAKE_CASE )	->	int:
		__lowerCAmelCase:       List[str]          =			0
		while number > 0:
				__lowerCAmelCase:       Any          =			number % 1_0
				sum_of_digits += last_digit
				__lowerCAmelCase:       List[Any]          =			number // 1_0  # Removing the last_digit from the given number
		return sum_of_digits






def     a__    (    __SCREAMING_SNAKE_CASE = 1_0_0 )	->	int:
		__lowerCAmelCase:       Tuple          =			factorial(__SCREAMING_SNAKE_CASE )
		__lowerCAmelCase:       Optional[int]          =			split_and_add(__SCREAMING_SNAKE_CASE )
		return result


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


