222. Count Complete Tree Nodes
Description
Given the root
of a complete binary tree, return the number of the nodes in the tree.
According to Wikipedia, every level, except possibly the last, is completely filled in a complete binary tree, and all nodes in the last level are as far left as possible. It can have between 1
and 2h
nodes inclusive at the last level h
.
Design an algorithm that runs in less than O(n)
time complexity.
Example 1:
Input: root = [1,2,3,4,5,6] Output: 6
Example 2:
Input: root = [] Output: 0
Example 3:
Input: root = [1] Output: 1
Constraints:
- The number of nodes in the tree is in the range
[0, 5 * 104]
. 0 <= Node.val <= 5 * 104
- The tree is guaranteed to be complete.
Solution
count-complete-tree-nodes.py
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def countNodes(self, root: Optional[TreeNode]) -> int:
def countDepth(node, countLeft = True):
depth = 0
while node:
depth += 1
if countLeft:
node = node.left
else:
node = node.right
return depth
left, right = countDepth(root), countDepth(root, False)
if left == right:
return (1 << left) - 1
else:
return 1 + self.countNodes(root.left) + self.countNodes(root.right)