Python世界:力扣题110,平衡二叉树判别,easy

Python世界:力扣题110,平衡二叉树判别,easy

任务背景


问题来自力扣题目:110 Balanced Binary Tree,大意如下:

Given a binary tree, determine if it is height-balanced。

翻译下,需求是:判断给定二叉数是否高度平衡。

思路分析


想练手下二叉树的遍历,结果在easy级上踩了坑,容我细细道来。注意本题中前置条件已默认是二叉树输入,不用考虑非二叉的输入场景。

于是,我把题意理解为,求该树中最小遍历深度和最大遍历深度,两者之差不应超过1.

python 复制代码
# Definition for a binary tree node.
class TreeNode(object):
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right

depth = 0
depth_min = 2**31
depth_max = -1
class Solution(object):
    def isBalanced(self, root):
        """
        :type root: Optional[TreeNode]
        :rtype: bool
        """

        flag_res = True
        if root == None:
            return flag_res

        def recursive(node):
            global depth, depth_max, depth_min
            if node == None:
                depth_max = max(depth_max, depth)
                depth_min = min(depth_min, depth)
                return
            print(node.val)
            depth = depth + 1
            recursive(node.left)
            recursive(node.right)
            depth = depth - 1

        # 重要:每次需重新初始化全局变量,否则深度最值不准
        global depth, depth_max, depth_min
        depth_min = 2**31
        depth_max = -1
        recursive(root)
        if (depth_max - depth_min > 1):
            print(depth_max, depth_min)
            flag_res = False

        return flag_res

初步用例通过后,提交发现这个用例错误:

python 复制代码
# case true 错误理解,失败用例
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
root.left.left.left = TreeNode(8)
root.right.right = TreeNode(3)
root.right.left = TreeNode(6)

才幡然醒悟,题意理解偏了,二叉树是否平衡,本质问的是:平衡树指每个节点的左右两个子树深度差异最大不超过2。

所以,我们应该求:对每个左右子树求取最大深度,比较左右子树差异。

代码实现


python 复制代码
# Definition for a binary tree node.
class TreeNode(object):
    def __init__(self, val=0, left=None, right=None):
        self.val = val
        self.left = left
        self.right = right

class Solution(object):
    def isBalanced(self, root):
        """
        :type root: Optional[TreeNode]
        :rtype: bool
        """
        # get the max depth of tree
        def recursive(node):
            if node == None:
                return 0
            depth_left = recursive(node.left)
            depth_right = recursive(node.right)
            if depth_left < 0 or depth_right < 0:
                return -1 # 已有子树不平衡
            if abs(depth_left - depth_right) > 1:
                return -1 # 当前不平衡
            return max(depth_left, depth_right) + 1 # 左右子树深度上提

        depth = recursive(root)
        return (depth >= 0) # 非负则平衡,负则不平衡

测试套件


单例测试版主调:

python 复制代码
# case true
root = TreeNode(1)

# case true
root = None

# case true
root = TreeNode(0)
root.left = TreeNode(1)
root.right = TreeNode(2)

# case false
root = TreeNode(1)
root.right = TreeNode(2)
root.right.left = TreeNode(3)

# case true
root = TreeNode(0)
root.left = TreeNode(1)
root.right = TreeNode(2)
root.right.right = TreeNode(3)

# case true 错误理解,失败用例
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(4)
root.left.right = TreeNode(5)
root.left.left.left = TreeNode(8)
root.right.right = TreeNode(3)
root.right.left = TreeNode(6)


sol = Solution()
res = sol.isBalanced(root)
print(res)

测试套版主调:

python 复制代码
import unittest


def test_base(self, root, ret):
    sol = Solution()
    res = sol.isBalanced(root)
    self.assertEqual(res, ret)


# 编写测试套
class TestSol(unittest.TestCase):
    def test_special1(self):
        ret = True
        root = TreeNode(1)
        test_base(self, root, ret)

    def test_special2(self):
        ret = True
        root = None
        test_base(self, root, ret)

    def test_common1(self):
        ret = True
        root = TreeNode(0)
        root.left = TreeNode(1)
        root.right = TreeNode(2)
        test_base(self, root, ret)

    def test_common2(self):
        ret = False
        root = TreeNode(1)
        root.right = TreeNode(2)
        root.right.left = TreeNode(3)
        test_base(self, root, ret)

    def test_common3(self):
        ret = True
        root = TreeNode(0)
        root.left = TreeNode(1)
        root.right = TreeNode(2)
        root.right.right = TreeNode(3)
        test_base(self, root, ret)

    def test_common4(self):
        ret = True # 错误理解,失败用例
        root = TreeNode(1)
        root.left = TreeNode(2)
        root.right = TreeNode(3)
        root.left.left = TreeNode(4)
        root.left.right = TreeNode(5)
        root.left.left.left = TreeNode(8)
        root.right.right = TreeNode(3)
        root.right.left = TreeNode(6)


# 测试套版本主调
if __name__ == '__main__':
    print('start!')
    unittest.main() # 启动单元测试
    print('done!')

本文小结


呜乎,通过本文实践,简单的事情切不可大意,再次感受到:做正确的事,比正确的做事更重要!

相关参考:https://leetcode.com/problems/balanced-binary-tree/solutions/2428871/very-easy-100-fully-explained-c-java-python-javascript-python3/

相关推荐
Thneonl2 小时前
Celery 生产踩坑:1000 任务积压与 acks_late 双重执行
后端·python
清桔2 小时前
模型的调用
python
小小张说故事2 小时前
Python 多线程为什么跑不快?asyncio 入门指南:异步并发从零上手
后端·python
10年前端老司机2 小时前
干货分享|企业智能知识库 Rerank 重排序落地实践与踩坑总结
python·aigc·agent
天天被压力2 小时前
【Python 量化取数指南 #13】Python 把行情落库:sqlite 一键存,回测随用随取
java·人工智能·python
天天被压力2 小时前
【Python 量化取数指南 #14】Python 清洗行情数据:复权停牌对齐,回测不翻车
java·人工智能·python
Python私教2 小时前
Python环境配置:conda+PyCharm+换源,附6个坑
人工智能·python·pycharm
databook2 小时前
检测数据异常值的五种统计技术
python·数据挖掘·数据分析
小小张说故事2 小时前
Selenium 装驱动太麻烦?Playwright 入门指南:Python 网页自动化新标准
python
海宇数科2 小时前
Python数据工程:利用海宇车型识别精准优化车险理赔合规体验
人工智能·python