Return the root node of a binary search tree that matches the given preorder traversal.
(Recall that a binary search tree is a binary tree where for every node, any descendant of node.left has a value < node.val, and any descendant of node.right has a value > node.val.  Also recall that a preorder traversal displays the value of the node first, then traverses node.left, then traverses node.right.)
It's guaranteed that for the given test cases there is always possible to find a binary search tree with the given requirements.
Example 1:
Input: [8,5,1,7,10,12]
Output: [8,5,10,1,7,null,12]


 
Constraints:

1 <= preorder.length <= 100
1 <= preorder[i] <= 10^8
The values of preorder are distinct.

Difficulty: MEDIUM_HARD
Tags: Tree algorithms

Data structures

Range queries
Skill types: Data structures

Range queries

Starter code:
# 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:
        

Solutions:
class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		vals = deque(preorder)

		def build(min_val, max_val):
			if vals and min_val < vals[0] < max_val:
				val = vals.popleft()
				node = TreeNode(val)
				node.left = build(min_val, val)
				node.right = build(val, max_val)
				return node
		return build(float('-inf'), float('inf'))


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		if not preorder:
			return None
		root = TreeNode(preorder[0])
		if len(preorder) == 1:
			return root
		ind = len(preorder)
		for (i, j) in enumerate(preorder):
			if j > root.val:
				ind = i
				break
		root.left = self.bstFromPreorder(preorder[1:ind])
		root.right = self.bstFromPreorder(preorder[ind:])
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		root = TreeNode(preorder[0])
		stack = [root]
		for val in preorder[1:]:
			node = TreeNode(val)
			if val < stack[-1].val:
				stack[-1].left = node
			else:
				while stack and stack[-1].val < val:
					last = stack.pop()
				last.right = node
			stack.append(node)
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		self.inorder = sorted(preorder)
		self.preorder = preorder[::-1]
		n = len(preorder)
		self.m = {val: i for (i, val) in enumerate(self.inorder)}
		(lo, hi) = (0, n - 1)
		return self.dfs(lo, hi)

	def dfs(self, lo, hi):
		if lo > hi:
			return None
		val = self.preorder.pop()
		root = TreeNode(val)
		mid = self.m[val]
		root.left = self.dfs(lo, mid - 1)
		root.right = self.dfs(mid + 1, hi)
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		if not preorder or len(preorder) == 0:
			return None
		inorder = sorted(preorder)
		root = TreeNode(preorder[0])
		leftLen = inorder.index(root.val)
		root.left = self.bstFromPreorder(preorder[1:1 + leftLen])
		root.right = self.bstFromPreorder(preorder[1 + leftLen:])
		return root


class Solution:

	def bstFromPreorder(self, A: List[int]) -> TreeNode:
		A.reverse()

		def build(lower=-math.inf, upper=math.inf):
			if not A or A[-1] < lower or A[-1] > upper:
				return None
			root = TreeNode(A.pop())
			root.left = build(lower, root.val)
			root.right = build(root.val, upper)
			return root
		return build()


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		if not preorder:
			return
		root = TreeNode(preorder[0])
		i = 1
		while i < len(preorder) and preorder[i] <= root.val:
			i += 1
		root.left = self.bstFromPreorder(preorder[1:i])
		root.right = self.bstFromPreorder(preorder[i:])
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		if len(preorder) == 0:
			return None
		return self.helper(preorder, 0, len(preorder))

	def helper(self, preorder, start, end):
		if start >= end:
			return None
		split = start + 1
		root = TreeNode(preorder[start])
		while split < end and preorder[start] > preorder[split]:
			split += 1
		root.left = self.helper(preorder, start + 1, split)
		root.right = self.helper(preorder, split, end)
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:

		def construct(preorder):
			if len(preorder) == 0:
				return None
			root = TreeNode(preorder[0])
			idx = 0
			while idx < len(preorder):
				if preorder[idx] > preorder[0]:
					break
				idx += 1
			root.left = construct(preorder[1:idx])
			root.right = construct(preorder[idx:])
			return root
		root = construct(preorder)
		return root


class Solution:

	def bstFromPreorder(self, preorder: List[int]) -> TreeNode:
		if not preorder:
			return None
		root = TreeNode(val=preorder[0])
		parents = [(root.val, root)]
		heapq.heapify(parents)
		for idx in range(1, len(preorder)):
			num = preorder[idx]
			node = TreeNode(val=num)
			tmp = None
			while parents and parents[0][0] < num:
				(_, tmp) = heapq.heappop(parents)
			if tmp:
				tmp.right = node
			elif not tmp and parents:
				parents[0][1].left = node
			heapq.heappush(parents, (num, node))
		return root