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[LeetCode]508. Most Frequent Sub

[LeetCode]508. Most Frequent Sub

作者: Eazow | 来源:发表于2017-05-25 21:01 被阅读218次
    题目

    Given the root of a tree, you are asked to find the most frequent subtree sum. The subtree sum of a node is defined as the sum of all the node values formed by the subtree rooted at that node (including the node itself). So what is the most frequent subtree sum value? If there is a tie, return all the values with the highest frequency in any order.

    Examples 1
    Input:

      5
     /  \
    2   -3
    

    return [2, -3, 4], since all the values happen only once, return all of them in any order.
    Examples 2
    Input:

      5
     /  \
    2   -5
    

    return [2], since 2 happens twice, however -5 only occur once.
    **Note: **You may assume the sum of values in any subtree is in the range of 32-bit signed integer.

    难度

    Medium

    方法

    对二叉树进行后续遍历,递归实现,将node节点及其子节点的和保存为nodeval,最后就能获取所有node及其子节点和。将各个node子节点和及其出现次数保存在dict中,最后选出出现次数最多的子节点和。

    python代码
    import collections
    
    class TreeNode(object):
        def __init__(self, x):
            self.val = x
            self.left = None
            self.right = None
    
    class Solution(object):
        def findFrequentTreeSum(self, root):
            """
            :type root: TreeNode
            :rtype: List[int]
            """
            if not root:
                return []
            self.counter = collections.Counter()
            self.postOrderTraverse(root)
            maxValue = max(self.counter.values())
    
            return [key for key in self.counter.keys() if self.counter[key] == maxValue]
    
    
        def postOrderTraverse(self, node):
            if node.left:
                node.val += self.postOrderTraverse(node.left)
            if node.right:
                node.val += self.postOrderTraverse(node.right)
    
            self.counter[node.val] += 1
            return node.val
    
    
    root = TreeNode(5)
    root.left = TreeNode(2)
    root.right = TreeNode(-3)
    assert Solution().findFrequentTreeSum(root) == [2, 4, -3]
    
    root = TreeNode(5)
    root.left = TreeNode(2)
    root.right = TreeNode(-5)
    assert Solution().findFrequentTreeSum(root) == [2]
    

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