import decimal

def 	__lowerCamelCase							(				)      ->       int:
	_lowercase   =0
	_lowercase   =decimal.Context(prec=105		)
	for i in range(2      ,							100		):
		_lowercase   =decimal.Decimal(__a		)
		_lowercase   =number.sqrt(__a		)
		if len(str(__a		)		) > 1:
			answer += int(str(__a		)[0]		)
			_lowercase   =str(__a		)[2:101]
			answer += sum(int(__a		) for x in sqrt_number_str		)
	return answer


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						print(F'''{solution() = }''')












from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

# Load iris file
A_			:Union[str, Any]	    =		load_iris()
iris.keys()


print(f"Target names: \n {iris.target_names} ")
print(f"\n Features: \n {iris.feature_names}")

# Train set e Test set
A_    ,A_    ,A_    ,A_			:Tuple	    =		train_test_split(
    iris['''data'''], iris['''target'''], random_state=4
)

# KNN

A_			:Any	    =		KNeighborsClassifier(n_neighbors=1)
knn.fit(X_train, y_train)

# new array to test
A_			:Optional[Any]	    =		[[1, 2, 1, 4], [2, 3, 4, 5]]

A_			:Union[str, Any]	    =		knn.predict(X_new)

print(
    f"\nNew array: \n {X_new}\n\nTarget Names Prediction: \n"
    f" {iris['target_names'][prediction]}"
)

