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Copy path二叉树的层次遍历.py
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二叉树的层次遍历.py
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# 给定一个二叉树,返回其按层次遍历的节点值。 (即逐层地,从左到右访问所有节点)。
#
# 例如:
# 给定二叉树: [3,9,20,null,null,15,7],
#
# 3
# / \
# 9 20
# / \
# 15 7
# 返回其层次遍历结果:
#
# [
# [3],
# [9,20],
# [15,7]
# ]
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# 方法一:递归
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
levels = []
if not root:
return levels
def helper(node,level):
# start the current level
if len(levels) == level:
levels.append([])
# append the current node value
levels[level].append(node.val)
# process child nodes for the next level
if node.left:
helper(node.left,level + 1)
if node.right:
helper(node.right,level + 1)
helper(root,0)
return levels
# 时间复杂度:O(N),因为每个结点恰好会被运算一次。
# 空间复杂度:O(N),保存输出结果的数组包含N个结点的值。
# 方法二:迭代
# 使用队列,可以使用deque的append和popleft()函数来快速实现队列的功能。
from collections import deque
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
levels = []
if not root:
return levels
level = 0
queue = deque([root, ])
while queue:
# start the current level
levels.append([])
# number of elements in the current level
level_length = len(queue)
for i in range(level_length):
node = queue.popleft()
# fulfill the current level
levels[level].append(node.val)
# add child nodes of the current level
# in the queue for the next level
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
# go to next level
level += 1
return levels
# 时间复杂度:O(N),因为每个结点恰好会被运算一次。
# 空间复杂度:O(N),保存输出结果的数组包含N个结点的值。