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  • 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.

    Credits:
    Special thanks to @ts for adding this problem and creating all test cases.

    Approach #1: C++.

    /**
     * Definition for binary tree
     * struct TreeNode {
     *     int val;
     *     TreeNode *left;
     *     TreeNode *right;
     *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
     * };
     */
    class BSTIterator {
    public:
        BSTIterator(TreeNode *root) {
            helper(root);
        }
    
        /** @return whether we have a next smallest number */
        bool hasNext() {
            if (minNums.empty()) return false;
            else return true;
        }
    
        /** @return the next smallest number */
        int next() {
            TreeNode* cur = minNums.top();
            minNums.pop();
            helper(cur->right);
            return cur->val;
        }
    private:
        stack<TreeNode*> minNums;
        void helper(TreeNode* root) {
            while (root != nullptr) {
                minNums.push(root);
                root = root->left;
            }
        }
    };
    
    /**
     * Your BSTIterator will be called like this:
     * BSTIterator i = BSTIterator(root);
     * while (i.hasNext()) cout << i.next();
     */
    

      

    Approach #2: Java.

    /**
     * Definition for binary tree
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    
    public class BSTIterator {
    
        public BSTIterator(TreeNode root) {
            helper(root);
        }
    
        /** @return whether we have a next smallest number */
        public boolean hasNext() {
            if (stack.isEmpty()) return false;
            return true;
        }
    
        /** @return the next smallest number */
        public int next() {
            TreeNode cur = stack.pop();
            helper(cur.right);
            return cur.val;
        }
        
        private Stack<TreeNode> stack = new Stack<TreeNode>();
        
        private void helper(TreeNode root) {
            while (root != null) {
                stack.push(root);
                root = root.left;
            }
        }
        
    }
    
    /**
     * Your BSTIterator will be called like this:
     * BSTIterator i = new BSTIterator(root);
     * while (i.hasNext()) v[f()] = i.next();
     */
    

      

    Approach #3: Python.

    # 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 = list()
            self.helper(root)
            
    
        def hasNext(self):
            """
            :rtype: bool
            """
            return self.stack
            
    
        def next(self):
            """
            :rtype: int
            """
            cur = self.stack.pop()
            self.helper(cur.right)
            return cur.val
            
        def helper(self, root):
            while root is not None:
                self.stack.append(root)
                root = root.left
            
    
    # Your BSTIterator will be called like this:
    # i, v = BSTIterator(root), []
    # while i.hasNext(): v.append(i.next())
    

      

    永远渴望,大智若愚(stay hungry, stay foolish)
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  • 原文地址:https://www.cnblogs.com/h-hkai/p/10011307.html
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