






def 	lowerCAmelCase_		(lowercase__						:       int       )		->    int:


				'''simple docstring'''




				lowerCAmelCase__      			=						1
				for i in range(1     ,					num + 1       ):
								fact *= i
				return fact





def 	lowerCAmelCase_		(lowercase__						:       int       )		->    int:


				'''simple docstring'''




				lowerCAmelCase__      			=						0
				while number > 0:
								lowerCAmelCase__      			=						number % 10
								sum_of_digits += last_digit
								lowerCAmelCase__      			=						number // 10  # Removing the last_digit from the given number
				return sum_of_digits





def 	lowerCAmelCase_		(lowercase__						:       int = 1_00       )		->    int:


				'''simple docstring'''




				lowerCAmelCase__      			=						factorial(lowercase__       )
				lowerCAmelCase__      			=						split_and_add(lowercase__       )
				return result


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













from typing import TYPE_CHECKING

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


_UpperCAmelCase			:		Optional[Any]   				=    {
    "configuration_ernie": ["ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ErnieConfig", "ErnieOnnxConfig"],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		Any   				=    [
			    "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "ErnieForCausalLM",
			    "ErnieForMaskedLM",
			    "ErnieForMultipleChoice",
			    "ErnieForNextSentencePrediction",
			    "ErnieForPreTraining",
			    "ErnieForQuestionAnswering",
			    "ErnieForSequenceClassification",
			    "ErnieForTokenClassification",
			    "ErnieModel",
			    "ErniePreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_ernie import (
						    ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ErnieForCausalLM,
						    ErnieForMaskedLM,
						    ErnieForMultipleChoice,
						    ErnieForNextSentencePrediction,
						    ErnieForPreTraining,
						    ErnieForQuestionAnswering,
						    ErnieForSequenceClassification,
						    ErnieForTokenClassification,
						    ErnieModel,
						    ErniePreTrainedModel,
						)

else:
			import sys

			_UpperCAmelCase			:		Dict   				=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





