Validate Binary Search Tree in Python

Suppose we have a binary tree, determine to check whether it is a valid binary search tree (BST) or not. Assume a BST is defined as follows –

The left subtree of a node holds only nodes with keys smaller than the node's key.
The right subtree of a node holds only nodes with keys larger than the node's key.
Both the left and right subtrees must also be binary search trees.

So if the tree is like –

The output will be true.

To solve this, we will follow these steps –

Create one recursive function called solve(), this will take root, min and max, the method will be like
if root is null, then return true
if value of root <= min or value of root >= max, then return false
return the (solve(left of root, min, root value) AND solve(right of root, root value, max))
call the solve() method initially, by passing root, and – inf as min and inf as max.

Example(Python)

Let us see the following implementation to get a better understanding −

Live Demo

class TreeNode:
   def __init__(self, data, left = None, right = None):
      self.data = data
      self.left = left
      self.right = right
def insert(temp,data):
   que = []
   que.append(temp)
   while (len(que)):
      temp = que[0]
      que.pop(0)
      if (not temp.left):
         if data is not None:
            temp.left = TreeNode(data)
         else:
            temp.left = TreeNode(0)
         break
      else:
         que.append(temp.left)
      if (not temp.right):
         if data is not None:
            temp.right = TreeNode(data)
         else:
            temp.right = TreeNode(0)
         break
      else:
         que.append(temp.right)
def make_tree(elements):
   Tree = TreeNode(elements[0])
   for element in elements[1:]:
      insert(Tree, element)
   return Tree
class Solution(object):
   def isValidBST(self, root):
      return self.solve(root,-1000000000000000000000,1000000000000000000000)
   def solve(self,root,min_val,max_val):
      if root == None or root.data == 0:
         return True
      if (root.data <= min_val or root.data >=max_val):
         return False
      return self.solve(root.left,min_val,root.data) and self.solve(root.right,root.data,max_val)
ob1 = Solution()
tree = make_tree([3,1,4,None,2,None,5])
print(ob1.isValidBST(tree))
tree = make_tree([5,1,4,None,None,3,6])
print(ob1.isValidBST(tree))

Input

[3,1,4,null,2,null,5]
[5,1,4,null,null,3,6]

Output

true
false

Arnab Chakraborty

Published on 27-Feb-2020 06:20:09

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