173. Binary Search Tree Iterator

題目

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.

思路

這是一道設計題,相對來說很不熟悉,但歸根結底是BST的問題。要實現這個迭代器,我們用到一個stack,先把root左邊的所有節點放進棧,然后依次把每個訪問到的節點的右子樹的左邊放進棧。

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 = []
        self.pushAll(root)

    def hasNext(self):
        """
        :rtype: bool
        """
        return self.stack

    def next(self):
        """
        :rtype: int
        """
        temp = self.stack.pop()
        self.pushAll(temp.right)
        return temp.val
        
    def pushAll(self, node):
        while node:
            self.stack.append(node)
            node = node.left

# Your BSTIterator will be called like this:
# i, v = BSTIterator(root), []
# while i.hasNext(): v.append(i.next())
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