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Binary_Search_Tree_Validation.cpp
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/*
Introduction
Given a Binary Tree , check if it is a valid Binary Search Tree
A valid Binary Search Tree is defined as follows:
- The left subtree of a node contains only nodes with keys less than the node's key.
- The right subtree of a node contains only nodes with keys greater than the node's key.
- Both the left and right subtrees must also be binary search trees.
Argument/Return Type
Input of total no.of nodes is taken
Input of key values of nodes of tree are taken in level order form
Incase of a null node , -1 is taken as input
Bool is returned as a result and corresponding statement is printed
*/
// Code / Solution
#include <bits/stdc++.h>
using namespace std;
//Define Node as structure
struct Node
{
int key;
Node* left;
Node* right;
};
// Function to create a node with 'value' as the data stored in it.
// Both the children of this new Node are initially null.
struct Node* newNode(int value)
{
Node* n = new Node;
n->key = value;
n->left = NULL;
n->right = NULL;
return n;
}
// Function to build tree with given input
struct Node* createTree(vector<int>v)
{
int n=v.size();
if(n==0)
return NULL;
vector<struct Node* >a(n);
//Create a vector of individual nodes with given node values
for(int i=0;i<n;i++)
{
//If the data is -1 , create a null node
if(v[i]==-1)
a[i] = NULL;
else
a[i] = newNode(v[i]);
}
//Interlink all created nodes to create a tree
//Use two pointers using int to store indexes
//One to keep track of parent node and one for children nodes
for(int i=0,j=1;j<n;i++)
{
//If the parent node is NULL , advance children pointer twice
if(!a[i])
{
j=j+2;
continue;
}
//Connect the two children nodes to parent node
//First left and then right nodes
a[i]->left = a[j++];
if(j<n)
a[i]->right = a[j++];
}
return a[0];
}
// Utility function which keeps checking , three essential conditions to be a BST
// Returns true if the given tree is a BST and its values are >= min and <= max.
bool IsValidBSTUtil(struct Node* root, int min, int max)
{
// an empty tree is BST as it obeys all the conditions
if (root==NULL)
return true;
//return false if this node violates the min/max constraint
if (root->key < min || root->key > max)
return false;
//Check if both subtrees are valid BST's recursively
//Update corresponding min , max values
return IsValidBSTUtil(root->left, min, root->key-1) && IsValidBSTUtil(root->right, root->key+1, max);
}
// Function to check if it is a valid binary tree
bool IsValidBST(struct Node* root)
{
return(IsValidBSTUtil(root, INT_MIN, INT_MAX));
}
int main()
{
int n;
cout<<"Enter total no.of nodes of the input Tree ( including NULL nodes ) : ";
cin>>n;
vector<int>v(n);
cout<<"Enter value of each node of the tree in level order ( if a node is NULL , enter -1 ) with spaces"<<endl;
for(int i=0;i<n;i++)
{
cin>>v[i]; //store the input values in a vector
}
//create the tree using input node values
struct Node* root=createTree(v);
//Call the function and print the result
bool result=IsValidBST(root);
if(result)
cout<<"The given tree is a valid Binary Search Tree";
else
cout<<"The given tree is not a valid Binary Search Tree";
return 0;
}
/*
Input:
0 <= node->key < 1000000000
if node is NULL , -1 is entered as it's key
Sample Test Case 1
Input Binary Tree :
10
/ \
11 12
/ \ / \
5 NULL 6 13
/ \ / \ / \ / \
4 NULL NULL NULL 8 9 10 NULL
Input Format :
Example :
Enter total no.of nodes of the input Tree ( including NULL nodes ) : 15
Enter value of each node of the tree in level order ( if a node is NULL , enter -1 ) with spaces
10 11 12 5 -1 6 13 4 -1 -1 -1 8 9 10 -1
Output Format :
Example : ( Output to the above input example )
The given tree is not a valid Binary Search Tree
Sample Test Case 2
Input Binary Tree :
12
/ \
9 17
/ \ / \
8 10 15 18
/ \ / \ / \ / \
7 NULL NULL NULL 14 16 NULL 20
Input Format :
Example :
Enter total no.of nodes of the input Tree ( including NULL nodes ) : 15
Enter value of each node of the tree in level order ( if a node is NULL , enter -1 ) with spaces
12 9 17 8 10 15 18 7 -1 -1 -1 14 16 -1 20
Output Format :
Example : ( Output to the above input example )
The given tree is a valid Binary Search Tree
Time/Space Complexity
Time Complexity : O(n)
Where n is the no.of nodes
Space Complexity : O(n)
Where n is the no.of nodes
*/