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[9/5] 429. N-ary Tree Level Order Traversal

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429. N-ary Tree Level Order Traversal
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Given an n-ary tree, return the level order traversal of its nodes' values.

Nary-Tree input serialization is represented in their level order traversal, each group of children is separated by the null value (See examples).

 

Example 1:

narytreeexample.png

Input: root = [1,null,3,2,4,null,5,6]
Output: [[1],[3,2,4],[5,6]]

Example 2:

Input: root = [1,null,2,3,4,5,null,null,6,7,null,8,null,9,10,null,null,11,null,12,null,13,null,null,14]
Output: [[1],[2,3,4,5],[6,7,8,9,10],[11,12,13],[14]]

 

Constraints:

  • The height of the n-ary tree is less than or equal to 1000
  • The total number of nodes is between [0, 104]
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Runtime: 98 ms, faster than 23.21% of Python3 online submissions for N-ary Tree Level Order Traversal.
Memory Usage: 16 MB, less than 50.08% of Python3 online submissions for N-ary Tree Level Order Traversal.
"""
# Definition for a Node.
class Node:
    def __init__(self, val=None, children=None):
        self.val = val
        self.children = children
"""
from collections import deque
class Solution:
    def levelOrder(self, root: 'Node') -> List[List[int]]:
        if not root: return []
        queue = deque([root])
        res = []
        
        while queue:
            curr_level = []
            for _ in range(len(queue)):
                node = queue.popleft()
                curr_level.append(node.val)
                for child in node.children:
                    queue.append(child)
            res.append(curr_level)
        return res
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