Company: VMWare, Cisco, Amazon
Question:
Question:
Given a sorted array. Write a program that creates a Balanced Binary Search Tree using array elements. If there are n elements in array, then floor(n/2)'th element should be chosen as root and same should be followed recursively.
Input:
The first line of input contains an integer T denoting the number of test cases.
The first line of each test case is N,N is the size of array.
The second line of each test case contains N input A[].
Output:
The first line of each test case is N,N is the size of array.
The second line of each test case contains N input A[].
Output:
Print the preorder traversal of constructed BST.
Constraints:
1 ≤ T ≤ 100
1 ≤ N ≤ 1000
1 ≤ A[] ≤ 10000
1 ≤ N ≤ 1000
1 ≤ A[] ≤ 10000
Example:
Input:
1
7
7 6 5 4 3 2 1
1
7
7 6 5 4 3 2 1
Output:
4 6 7 5 2 3 1
4 6 7 5 2 3 1
CODE:
import java.util.*;
import java.lang.*;
import java.io.*;
class Node{
int data;
Node right,left;
Node(int d){
data=d;
left=null;right=null;
}
}
class BinaryTree {
static Node root;
public static void main (String[] args) {
BinaryTree tree= new BinaryTree();
Scanner sc = new Scanner(System.in);
int m = sc.nextInt();
for(int mi=0;mi<m;mi++){
int n = sc.nextInt();
int [] a= new int [n];
for(int i=0;i<n;i++){
a[i]=sc.nextInt();
}
root=tree.findroot(a,0,n-1);
tree.preOrder(root);
System.out.println();
}
}
Node findroot(int arr[], int start, int end) {
/* Base Case */
if (start > end) {
return null;
}
/* Get the middle element and make it root */
int mid = (start + end) / 2;
Node node = new Node(arr[mid]);
/* Recursively construct the left subtree and make it
left child of root */
node.left = findroot(arr, start, mid - 1);
/* Recursively construct the right subtree and make it
right child of root */
node.right = findroot(arr, mid + 1, end);
return node;
}
void preOrder(Node node) {
if (node == null) {
return;
}
System.out.print(node.data + " ");
preOrder(node.left);
preOrder(node.right);
}
}
EXECUTION TIME: 0.22s
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