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serialize-and-deserialize-bst.py
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serialize-and-deserialize-bst.py
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# Time: O(n)
# Space: O(h)
# 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 search tree.
# There is no restriction on how your serialization/deserialization algorithm should work.
# You just need to ensure that a binary search tree can be serialized to a string and
# this string can be deserialized to the original tree structure.
#
# The encoded string should be as compact as possible.
#
# Note: Do not use class member/global/static variables to store states.
# Your serialize and deserialize algorithms should be stateless.
# 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 serialize(self, root):
"""Encodes a tree to a single string.
:type root: TreeNode
:rtype: str
"""
def serializeHelper(node, vals):
if node:
vals.append(node.val)
serializeHelper(node.left, vals)
serializeHelper(node.right, vals)
vals = []
serializeHelper(root, vals)
return ' '.join(map(str, vals))
def deserialize(self, data):
"""Decodes your encoded data to tree.
:type data: str
:rtype: TreeNode
"""
def deserializeHelper(minVal, maxVal, vals):
if not vals:
return None
if minVal < vals[0] < maxVal:
val = vals.popleft()
node = TreeNode(val)
node.left = deserializeHelper(minVal, val, vals)
node.right = deserializeHelper(val, maxVal, vals)
return node
else:
return None
vals = collections.deque([int(val) for val in data.split()])
return deserializeHelper(float('-inf'), float('inf'), vals)
# Your Codec object will be instantiated and called as such:
# codec = Codec()
# codec.deserialize(codec.serialize(root))