Given an n-ary tree, return the level order traversal of its nodes’ values. (i.e., from left to right, level by level).
To ensure a complete understanding of the problem, I might ask the following questions:
To solve this problem, we’ll need to perform a level-order traversal (breadth-first traversal) of the n-ary tree. Here is the step-by-step strategy:
from typing import List
from collections import deque
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children if children is not None else []
class Solution:
def levelOrder(self, root: 'Node') -> List[List[int]]:
if not root:
return []
result = []
queue = deque([(root, 0)]) # Queue will store tuples of (node, level)
while queue:
node, level = queue.popleft()
# If the level is not yet in result, add it
if level == len(result):
result.append([])
# Append the current node's value to the corresponding level
result[level].append(node.val)
# Enqueue all the children with the level + 1
for child in node.children:
queue.append((child, level + 1))
return result
The time complexity of this approach is (O(N)), where (N) is the number of nodes in the tree. Each node is visited exactly once.
The space complexity is also (O(N)) because, in the worst case, the maximum number of nodes that can be held in the queue at once is proportional to the total number of nodes in the tree, assuming it’s a complete n-ary tree. Additionally, the output list will hold all the node values.
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