Given a binary search tree (BST) with duplicates, find all the mode(s) (the most frequently occurred element) in the given BST.
Assume a BST is defined as follows:
- The left subtree of a node contains only nodes with keys less than or equal to the node‘s key.
- The right subtree of a node contains only nodes with keys greater than or equal to the node‘s key.
- Both the left and right subtrees must also be binary search trees.
For example:
Given BST [1,null,2,2]
,
1 2 / 2
return [2]
.
Note: If a tree has more than one mode, you can return them in any order.
Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).
粗暴解法,直接hash计数然后找出最大计数的值。
# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def findMode(self, root): """ :type root: TreeNode :rtype: List[int] """ def dfs(node, cnt): if not node: return dfs(node.left, cnt) cnt[node.val] += 1 dfs(node.right, cnt) cnt = collections.defaultdict(int) dfs(root, cnt) ans,max_cnt = [],0 for k,v in cnt.items(): if v > max_cnt: max_cnt = v ans = [k] elif v == max_cnt and k not in ans: ans.append(k) return ans
最后几行可以直接使用python max :
mc = max(cnt.values()) return [n for n, c in cnt.items() if c == mc]
另外就是经典的tree node遍历解法,在dfs时候使用pre_node记录上次遍历的node,和当前node值进行比较:
# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def findMode(self, root): """ :type root: TreeNode :rtype: List[int] """ ans,max_cnt = [],0 pre_node, pre_cnt = None, 1 def dfs(node): nonlocal ans,max_cnt,pre_node,pre_cnt if not node: return dfs(node.left) if not pre_node: # init max_cnt = 1 ans = [node.val] else: if node.val == pre_node.val: pre_cnt += 1 else: pre_cnt = 1 if pre_cnt > max_cnt: max_cnt = pre_cnt ans = [node.val] elif pre_cnt == max_cnt: ans.append(node.val) pre_node = node dfs(node.right) dfs(root) return ans
python2 下的解法,合理运用dummy value其实非常方便哦!
class Solution(object): def findMode(self, root): """ :type root: TreeNode :rtype: List[int] """ if root is None: return [] self.curVal = root.val - 1 # dummy value is good! self.curNum = 0 # dummy value is good! self.maxNum = 0 self.maxVals = [] def dfs(root): if root is not None: dfs(root.right) if root.val != self.curVal: self.curNum = 0 self.curNum = self.curNum + 1 self.curVal = root.val if self.curNum == self.maxNum: self.maxVals.append(self.curVal) elif self.curNum > self.maxNum: self.maxNum = self.curNum self.maxVals = [self.curVal] dfs(root.left) dfs(root) return self.maxVals
使用stack的解法:
class Solution(object): def findMode(self, root): """ :type root: TreeNode :rtype: List[int] """ stack, node, prev, cnt, res = [], root, None, 0, (0, []) while stack or node: if node: stack.append(node) node = node.left else: node = stack.pop() if node.val != prev: cnt = 0 cnt += 1 if cnt > res[0]: res = (cnt, [node.val]) elif cnt == res[0]: res[1].append(node.val) prev = node.val node = node.right return res[1]
原文地址:https://www.cnblogs.com/bonelee/p/9147724.html
时间: 2024-10-07 10:22:11