Question
Given an array of integers preorder, which represents the preorder traversal of a BST (i.e., binary search tree), construct the tree and return its root.
It is guaranteed that there is always possible to find a binary search tree with the given requirements for the given test cases.
A binary search tree is a binary tree where for every node, any descendant of Node.left has a value strictly less than Node.val, and any descendant of Node.right has a value strictly greater than Node.val.
A preorder traversal of a binary tree displays the value of the node first, then traverses Node.left, then traverses Node.right.
Example 1:

Input: preorder = [8,5,1,7,10,12] Output: [8,5,10,1,7,null,12]
Example 2:
Input: preorder = [1,3] Output: [1,null,3]
Constraints:
1 <= preorder.length <= 1001 <= preorder[i] <= 1000- All the values of
preorderare unique.
Python Solution
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
root = TreeNode(preorder[0])
stack = [root]
for i in preorder[1:]:
if i<stack[-1].val:
stack[-1].left = TreeNode(i)
stack.append(stack[-1].left)
else:
while stack and stack[-1].val<i:
last = stack.pop()
last.right = TreeNode(i)
stack.append(last.right)
return root

![[Solved] You are given an integer n and an integer start. Define an array nums where nums[i] = start + 2 * i (0-indexed) and n == nums.length. Return the bitwise XOR of all elements of nums.](https://machinelearningprojects.net/wp-content/uploads/2022/09/Leetcode-solutions-MLP-Feature-Image-1024x536.webp)