Maximum Xor


Problem Statement :


You are given an array arr of n elements. A list of integers, queries  is given as an input, find the maximum value of queries[ j ] each arr[ i ] for all  0 <=  i  < n, where  represents xor of two elements.

Note that there are multiple test cases in one input file.


Function Description

Complete the maxXor function in the editor below. It must return an array of integers, each representing the maximum xor value for each element queries[ j ] against all elements of arr.

maxXor has the following parameter(s):

arr: an array of integers
queries: an array of integers to query



Input Format


The first line contains an integer n, the size of the array arr.

The second line contains n space-separated integers, arr[ i ] from 0  <= i  < n.

The third line contain m, the size of the array queries.

Each of the next m lines contains an integer queries[ j ] where 0  <= j  < m.



Constraints


1  <=   n, m  <=  10^5
0   <=  arr[ i ] , queries[ j ]  <= 10^9


Output Format

The output should contain m lines with each line representing output for the corresponding input of the testcase.



Solution :



title-img




                        Solution in C++ :

In   C++  :








#include <bits/stdc++.h>
using namespace std;

int p;
struct node
{
    int val;
    node *child[2];
};

void insert(node *trie, int x, int ind)
{   
    if(ind < 0) {
        return;
    }
    int k=(x>>ind)&1;

    if(!trie->child[k]) {
        trie->child[k]=new node;
    }
    insert(trie->child[k], x, ind-1);
}

void find(node *trie, int x, int ind)
{   
    if(ind<0) {
        return;
    }

    int k=(x>>ind)&1;
    k^=1;

    if(!trie->child[k]) {
        k^=1;
    }
    p=p<<1|k;
    find(trie->child[k], x, ind-1);
}

int main()
{
    int n,i,x;
    cin>>n;

    int a[n];
    for(i=0;i<n;++i) {
        cin>>a[i];
    }

    node *trie = new node;
    for(i=0;i<n;++i) {
        // max 32 bits
        insert(trie,a[i],31);
    }

    int t;
    cin>>t;
    while(t--) {
        cin>>x;
        p=0;
        find(trie,x,31);
        cout<<(p^x)<<endl;
    }

    return 0;
}
                    


                        Solution in Java :

In   Java   :









static final int INT_SIZE = 32; 

// A Trie Node 
static class TrieNode 
{ 
    int value;  // Only used in leaf nodes 
    TrieNode[] arr =  new TrieNode[2]; 
    public TrieNode() { 
        value = 0; 
        arr[0] = null; 
        arr[1] = null; 
    } 

    public String toString(){
        return "{ value: "+this.value+" "+ arr.toString()+"}";
    }
} 
static TrieNode root;

static void insert(int pre_xor) 
{ 
    TrieNode temp = root; 

    for (int i=INT_SIZE-1; i>=0; i--) 
    { 
        int val = (pre_xor & (1<<i)) >=1 ? 1 : 0; 

        if (temp.arr[val] == null) 
            temp.arr[val] = new TrieNode(); 

        temp = temp.arr[val]; 
    } 
    temp.value = pre_xor; 
} 

static int query(int pre_xor) 
{ 
    TrieNode temp = root; 
    for (int i=INT_SIZE-1; i>=0; i--) 
    { 
        int val = (pre_xor & (1<<i)) >= 1 ? 1 : 0; 

        if (temp.arr[val] != null) 
            temp = temp.arr[val]; 

        else if (temp.arr[1-val] != null) 
            temp = temp.arr[1-val];
    } 
    return (~pre_xor)^(temp.value); 
}
// Complete the maxXor function below.
static int[] maxXor(int[] arr, int[] queries) {
    int[] result = new int[queries.length];

    root = new TrieNode(); 
    insert(0);
    int pre_xor =0; 
    int max = Integer.MIN_VALUE;
    for (int i=0; i<arr.length; i++) 
    {  
        insert(arr[i]);
    }  

    for(int j=0; j<queries.length;j++){
        pre_xor = ~queries[j];  
        //max= Math.max(max, query(pre_xor));
        result[j]=query(pre_xor);
    }
    return result;
}
                    


                        Solution in Python : 
                            
In   Python3  :







def maxXor(arr, queries):
    ans = []
    trie = {}
    k = len(bin(max(arr+queries))) - 2 
    for number in ['{:b}'.format(x).zfill(k) for x in arr]:
        node = trie
        for char in number:
            node = node.setdefault(char, {})
    for n in queries:
        node = trie
        s = ''
        for char in'{:b}'.format(n).zfill(k) :
            tmp = str(int(char) ^ 1) 
            tmp = tmp if tmp in node else char 
            s += tmp 
            node = node[tmp]
        ans.append(int(s, 2) ^ n) 
    return ans
                    


View More Similar Problems

Jenny's Subtrees

Jenny loves experimenting with trees. Her favorite tree has n nodes connected by n - 1 edges, and each edge is ` unit in length. She wants to cut a subtree (i.e., a connected part of the original tree) of radius r from this tree by performing the following two steps: 1. Choose a node, x , from the tree. 2. Cut a subtree consisting of all nodes which are not further than r units from node x .

View Solution →

Tree Coordinates

We consider metric space to be a pair, , where is a set and such that the following conditions hold: where is the distance between points and . Let's define the product of two metric spaces, , to be such that: , where , . So, it follows logically that is also a metric space. We then define squared metric space, , to be the product of a metric space multiplied with itself: . For

View Solution →

Array Pairs

Consider an array of n integers, A = [ a1, a2, . . . . an] . Find and print the total number of (i , j) pairs such that ai * aj <= max(ai, ai+1, . . . aj) where i < j. Input Format The first line contains an integer, n , denoting the number of elements in the array. The second line consists of n space-separated integers describing the respective values of a1, a2 , . . . an .

View Solution →

Self Balancing Tree

An AVL tree (Georgy Adelson-Velsky and Landis' tree, named after the inventors) is a self-balancing binary search tree. In an AVL tree, the heights of the two child subtrees of any node differ by at most one; if at any time they differ by more than one, rebalancing is done to restore this property. We define balance factor for each node as : balanceFactor = height(left subtree) - height(righ

View Solution →

Array and simple queries

Given two numbers N and M. N indicates the number of elements in the array A[](1-indexed) and M indicates number of queries. You need to perform two types of queries on the array A[] . You are given queries. Queries can be of two types, type 1 and type 2. Type 1 queries are represented as 1 i j : Modify the given array by removing elements from i to j and adding them to the front. Ty

View Solution →

Median Updates

The median M of numbers is defined as the middle number after sorting them in order if M is odd. Or it is the average of the middle two numbers if M is even. You start with an empty number list. Then, you can add numbers to the list, or remove existing numbers from it. After each add or remove operation, output the median. Input: The first line is an integer, N , that indicates the number o

View Solution →