Problem:
Binary Search Tree II

Write a program which performs the following operations to a binary search tree $T$ by adding the find operation to A: Binary Search Tree I.

insert $k$: Insert a node containing $k$ as key into $T$.

find $k$: Report whether $T$ has a node containing $k$.

print: Print the keys of the binary search tree by inorder tree walk and preorder tree walk respectively.

Input

In the first line, the number of operations $m$ is given. In the following $m$ lines, operations represented by insert $k$, find $k$ or print are given.

Output

For each find $k$ operation, print "yes" if $T$ has a node containing $k$, "no" if not.

In addition, for each print operation, print a list of keys obtained by inorder tree walk and preorder tree walk in a line respectively. Put a space character before each key.

Constraints

The number of operations $\leq 500,000$

The number of print operations $\leq 10$.

$-2,000,000,000 \leq key \leq 2,000,000,000$

The height of the binary tree does not exceed 100 if you employ the above pseudo code.

The keys in the binary search tree are all different.

Sample Input 1

10
insert 30
insert 88
insert 12
insert 1
insert 20
find 12
insert 17
insert 25
find 16
print

Sample Output 1

yes
no
1 12 17 20 25 30 88
30 12 1 20 17 25 88

Reference

Introduction to Algorithms, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The MIT Press.

Solution in Python3 (judge verdict: Accepted)

class Node:
    def __init__(self, key):
        self.right = None
        self.left = None
        self.parent = None
        self.key = key

    def preorder(self):
        ret = [self.key]
        if self.left:
            ret += self.left.preorder()
        if self.right:
            ret += self.right.preorder()
        return ret

    def inorder(self):
        ret = []
        if self.left:
            ret += self.left.inorder()
        ret += [self.key]
        if self.right:
            ret += self.right.inorder()
        return ret

    def find(self, k):
        if self.key == k:
            return True
        elif self.key < k:
            if self.right:
                return self.right.find(k)
            else:
                return False
        else:
            if self.left:
                return self.left.find(k)
            else:
                return False


class Tree:
    def __init__(self):
        self.root = None

    def insert(self, k):
        z = Node(k)
        y = None
        x = self.root
        while x:
            y = x
            if z.key < x.key:
                x = x.left
            else:
                x = x.right
        z.parent = y
        if y is None:
            self.root = z
        elif z.key < y.key:
            y.left = z
        else:
            y.right = z

    def print(self):
        print('', ' '.join(map(str, self.root.inorder())))
        print('', ' '.join(map(str, self.root.preorder())))

    def find(self, k):
        if self.root is None:
            return False
        else:
            return self.root.find(k)

m = int(input())
tree = Tree()
for _ in range(m):
    s = input().split()
    if s[0] == "insert":
        tree.insert(int(s[1]))
    elif s[0] == "find":
        if tree.find(int(s[1])):
            print("yes")
        else:
            print("no")
    else:
        tree.print()