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).
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def findMode(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
if root is None:
return []
dic = {}
def inorder(root):
if root.left:
inorder(root.left)
if root.val not in dic:
dic[root.val] = 1
else:
dic[root.val] += 1
if root.right:
inorder(root.right)
inorder(root)
# print(dic)
m = max(dic.values())
# print(m)
res = []
for key,value in dic.items():
# print(key,value)
if value==m:
res.append(key)
return res