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102-binary-tree-level-order-traversal.py
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102-binary-tree-level-order-traversal.py
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"""
Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).
For example:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its level order traversal as:
[
[3],
[9,20],
[15,7]
]
"""
import collections
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def levelOrder(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
if not root:
return []
queue = collections.deque([])
queue.append([root, 1])
level = 1
nodes, res = [], []
# BFS
while queue:
node, depth = queue.popleft()
# record same level nodes
if depth == level:
nodes.append(node.val)
else: # traverse the different level should create a new nodes list
res.append(nodes)
nodes = []
nodes.append(node.val)
level += 1
# BFS push nodes into queue
if node.left:
queue.append([node.left, depth + 1])
if node.right:
queue.append([node.right, depth + 1])
# add last level nodes
res.append(nodes)
return res
if __name__ == "__main__":
vals = [3, 9, 20, None, None, 15, 7]
root = TreeNode(vals[0])
node = root
node.left = TreeNode(vals[1])
node.right = TreeNode(vals[2])
node = node.right
node.left = TreeNode(vals[5])
node.right = TreeNode(vals[6])
print(Solution().levelOrder(root))