# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
# def buildTree(self, preorder, inorder):
# """
# :type preorder: List[int]
# :type inorder: List[int]
# :rtype: TreeNode
# """
# # https://leetcode.com/discuss/102884/c-12ms-iterative-solution
# if preorder is None or len(preorder) == 0:
# return None
# root = TreeNode(preorder[0])
# pre = root
# stack = [root]
# flag, pp, pi = 0, 1, 0
# while pi < len(inorder):
# if len(stack) > 0 and stack[-1].val == inorder[pi]:
# pre = stack[-1]
# flag = 1
# stack.pop()
# pi += 1
# else:
# temp = TreeNode(preorder[pp])
# if flag == 0:
# pre.left = temp
# pre = pre.left
# else:
# pre.right = temp
# pre = pre.right
# flag = 0
# stack.append(temp)
# pp += 1
# return root
def buildTree(self, preorder, inorder):
n = len(inorder)
inOrderMap = {inorder[i]: i for i in range(n)}
return self.buildTreeUtil(preorder, inorder, inOrderMap, 0, n - 1, 0, n - 1)
def buildTreeUtil(self, preorder, inorder, inOrderMap, pStart, pEnd, iStart, iEnd):
if pStart > pEnd or iStart > iEnd:
return None
root = TreeNode(preorder[pStart])
rootIdx = inOrderMap[root.val]
root.left = self.buildTreeUtil(preorder, inorder, inOrderMap, pStart + 1, pStart + rootIdx - iStart + 1, iStart,
rootIdx - 1)
root.right = self.buildTreeUtil(preorder, inorder, inOrderMap, pStart + rootIdx - iStart + 1, pEnd, rootIdx + 1,
iEnd)
return root
# def buildTree(self, preorder, inorder):
# basic idea but memory not enough
# if preorder is None or len(preorder) == 0:
# return None
# root = TreeNode(preorder[0])
# root_index = inorder.index(root.val)
# root.left = self.buildTree(preorder[1:root_index + 1], inorder[:root_index])
# root.right = self.buildTree(preorder[root_index + 1:], inorder[root_index + 1:])
# return root
Download Construct Binary Tree from Preorder and Inorder Traversal.pyLeetcode 105 Construct Binary Tree from Preorder and Inorder Traversal problem solution in python3 with explanation. This is the best place to expand your knowledge and get prepared for your next interview.
self.val = x
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