Binary Search Tree Iterator
Implement an iterator over a binary search tree (BST). Your iterator will be initialized with the root node of a BST.
Calling next()
will return the next smallest number in the BST.
Note: next()
and hasNext()
should run in average O(1) time and uses O(h) memory, where h is the height of the tree.
Solution
# Definition for a binary tree node
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class BSTIterator(object):
def __init__(self, root):
"""
:type root: TreeNode
"""
self.stack = []
self.cur = root
def hasNext(self):
"""
:rtype: bool
"""
return self.stack or self.cur
def next(self):
"""
:rtype: int
"""
while self.cur:
self.stack.append(self.cur)
self.cur = self.cur.left
self.cur = self.stack.pop()
node = self.cur
self.cur = self.cur.right
return node.val
# Your BSTIterator will be called like this:
# i, v = BSTIterator(root), []
# while i.hasNext(): v.append(i.next())
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class BSTIterator {
private Stack<TreeNode> stack;
public BSTIterator(TreeNode root) {
this.stack = new Stack<>();
while(root != null) {
stack.push(root);
root = root.left;
}
}
/** @return whether we have a next smallest number */
public boolean hasNext() {
return this.stack.size() > 0;
}
/** @return the next smallest number */
public int next() {
TreeNode temp = this.stack.pop();
TreeNode node = temp.right;
while(node != null) {
stack.push(node);
node = node.left;
}
return temp.val;
}
}
/**
* Your BSTIterator will be called like this:
* BSTIterator i = new BSTIterator(root);
* while (i.hasNext()) v[f()] = i.next();
*/