难度: Hard
原题连接
内容描述
Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory buffer, or transmitted across a network connection link to be reconstructed later in the same or another computer environment.
Design an algorithm to serialize and deserialize a binary tree. There is no restriction on how your serialization/deserialization algorithm should work. You just need to ensure that a binary tree can be serialized to a string and this string can be deserialized to the original tree structure.
Example:
You may serialize the following tree:
1
/ \
2 3
/ \
4 5
as "[1,2,3,null,null,4,5]"
Clarification: The above format is the same as how LeetCode serializes a binary tree. You do not necessarily need to follow this format, so please be creative and come up with different approaches yourself.
Note: Do not use class member/global/static variables to store states. Your serialize and deserialize algorithms should be stateless.
思路 1 - 时间复杂度: O(N)- 空间复杂度: O(N)******
简单是简单,但是也折腾了一会, beats 44.01%
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string.
:type root: TreeNode
:rtype: str
"""
nodes, res = [], []
def dfs(node, level, nodes):
if level > len(nodes):
nodes.append([])
if not node:
nodes[level-1].append(None)
return
else:
nodes[level-1].append(node.val)
dfs(node.left, level+1, nodes)
dfs(node.right, level+1, nodes)
dfs(root, 1, nodes)
for lst in nodes[:-1]:
res += lst
return res
def deserialize(self, data):
"""Decodes your encoded data to tree.
:type data: str
:rtype: TreeNode
"""
if not data:
return None
root = TreeNode(data[0])
nodes = collections.deque()
for i in range(1, len(data)):
if data[i] is None:
node = None
else:
node = TreeNode(data[i])
nodes.append(node)
stack = [root] # 一次只搞一层
while nodes:
new_stack = []
for node in stack:
if node:
new_left_node, new_right_node = nodes.popleft(), nodes.popleft()
if new_left_node:
node.left = new_left_node
if new_right_node:
node.right = new_right_node
new_stack.append(new_left_node)
new_stack.append(new_right_node)
stack = new_stack
return root