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:
Code (Java):next() and hasNext() should run in average O(1) time and uses O(h) memory, where h is the height of the tree./**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class BSTIterator {
private TreeNode p;
private Stack<TreeNode> stack = new Stack<TreeNode>();
public BSTIterator(TreeNode root) {
this.p = root;
}
/** @return whether we have a next smallest number */
public boolean hasNext() {
return !stack.isEmpty() || p != null;
}
/** @return the next smallest number */
public int next() {
while (p != null) {
stack.push(p);
p = p.left;
}
TreeNode curr = stack.pop();
p = curr.right;
return curr.val;
}
}
/**
* Your BSTIterator will be called like this:
* BSTIterator i = new BSTIterator(root);
* while (i.hasNext()) v[f()] = i.next();
*/
Update on 5/20/19:
/**
* Definition of TreeNode:
* public class TreeNode {
* public int val;
* public TreeNode left, right;
* public TreeNode(int val) {
* this.val = val;
* this.left = this.right = null;
* }
* }
* Example of iterate a tree:
* BSTIterator iterator = new BSTIterator(root);
* while (iterator.hasNext()) {
* TreeNode node = iterator.next();
* do something for node
* }
*/
public class BSTIterator {
private Stack<TreeNode> stack;
private TreeNode p;
/*
* @param root: The root of binary tree.
*/public BSTIterator(TreeNode root) {
// do intialization if necessary
this.p = root;
stack = new Stack<>();
while (p != null) {
stack.push(p);
p = p.left;
}
}
/*
* @return: True if there has next node, or false
*/
public boolean hasNext() {
// write your code here
return !stack.isEmpty();
}
/*
* @return: return next node
*/
public TreeNode next() {
// write your code here
TreeNode ans = stack.pop();
p = ans.right;
while (p != null) {
stack.push(p);
p = p.left;
}
return ans;
}
}
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