# 297-serialize-and-deserialize-binary-tree Try it on leetcode ## Description

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.

Clarification: The input/output 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.

 

Example 1:

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

Example 2:

Input: root = []
Output: []

 

Constraints:

## Solution(Python) ```Python # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Codec: def __init__(self): self.i = 0 def serialize(self, root): """Encodes a tree to a single string. :type root: TreeNode :rtype: str """ if root is None: return "#" left = self.serialize(root.left) right = self.serialize(root.right) return str(root.val) + "," + left + "," + right def deserialize(self, data): """Decodes your encoded data to tree. :type data: str :rtype: TreeNode """ def recur(): val = next(vals) if val == "#": return None node = TreeNode(int(val)) node.left = recur() node.right = recur() return node vals = iter(data.split(",")) return recur() # Your Codec object will be instantiated and called as such: # ser = Codec() # deser = Codec() # ans = deser.deserialize(ser.serialize(root)) ```