





"""simple docstring"""




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

# Load iris file
UpperCamelCase_	 =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
UpperCamelCase_ ,      UpperCamelCase_ ,      UpperCamelCase_ ,      UpperCamelCase_	 =train_test_split(
    iris["""data"""], iris["""target"""], random_state=4
)

# KNN

UpperCamelCase_	 =KNeighborsClassifier(n_neighbors=1)
knn.fit(X_train, y_train)

# new array to test
UpperCamelCase_	 =[[1, 2, 1, 4], [2, 3, 4, 5]]

UpperCamelCase_	 =knn.predict(X_new)

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







def 			__lowerCAmelCase       (SCREAMING_SNAKE_CASE = 1000   )->    int:




      """simple docstring"""

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

      snake_case_			= 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())))