Check if a String contains Anagrams of length K which does not contain the character X (original) (raw)
Last Updated : 15 Jul, 2025
Given a string S, the task is to check if S contains a pair of substrings of length K which are anagrams of each other and doesn't contain the character X in them. If no such substring exists, print -1.
Examples:
Input: S = "geeksforgeeks", X = 'f', K = 5
Output: geeks geeks
Explanation:
Substrings "geeks" and "geeks" are anagrams of each other and does not contain 'f'.Input: S = "rotator", X = 'a', K = 3
Output: rot tor
Explanation:
Substrings "rot" and "tor" are anagrams of each other and does not contain 'a'.
Approach:
The idea is to generate prefix sum on the basis of characters. Follow the steps below to solve the problem:
- Iterate over the string and generate frequencies of substrings by using the prefix sum array.
- If a substring with same frequency of characters is already present in the HashMap.
- Otherwise, store the frequency of characters of the substring with the current substring in the HashMap, if the frequency of the character X in the substring is 0.
Below is the implementation of the above approach:
C++ `
// c++ code for the above approach #include #include #include
#define MOD 1000000007
using namespace std;
// Class to represent a Substring // in terms of frequency of // characters present in it class Substring { public: int count[26];
Substring() { memset(count, 0, sizeof(count)); }
bool operator==(const Substring& other) const
{
for (int i = 0; i < 26; i++) {
if (other.count[i] != count[i]) {
return false;
}
}
return true;
}
size_t operator()(const Substring& s) const
{
size_t hash = 0;
for (int i = 0; i < 26; i++) {
hash += (i + 1) * s.count[i];
hash %= MOD;
}
return hash;
}};
// Function to check anagrams void checkForAnagrams(string s, int n, char X, int k) { bool found = false;
// Prefix array to store frequencies
// of characters
int prefix[n + 1][26];
memset(prefix, 0, sizeof(prefix));
for (int i = 0; i < n; i++) {
prefix[i][s[i] - 'a'] += 1;
}
// Generate prefix sum
for (int i = 1; i < n; i++) {
for (int j = 0; j < 26; j++) {
prefix[i][j] += prefix[i - 1][j];
}
}
// Map to store frequencies
unordered_map<Substring, int, Substring> map;
// Check for anagrams
for (int i = 0; i < n; i++) {
if (i + k > n) {
break;
}
// Generate frequencies of characters
// of substring starting from i
Substring sub;
for (int j = 0; j < 26; j++) {
sub.count[j]
= prefix[i + k - 1][j]
- (i - 1 >= 0 ? prefix[i - 1][j] : 0);
}
// Check if forbidden character is
// present, then continue
if (sub.count[X - 'a'] != 0) {
continue;
}
// If already present in HashMap
if (map.count(sub) > 0) {
found = true;
// Print the substrings
cout << s.substr(map[sub], k) << " "
<< s.substr(i, k) << endl;
break;
}
else {
map[sub] = i;
}
}
// If no such substring is found
if (!found) {
cout << "-1" << endl;
}}
// Driver Code int main() { string s = "rotator"; int n = s.length(); char X = 'a'; int k = 3; checkForAnagrams(s, n, X, k); return 0; }
Java
// Java Program to implement // the above approach import java.util.*;
// Class to represent a Substring // in terms of frequency of // characters present in it class Substring { int MOD = 1000000007;
// Store count of characters
int count[];
Substring() { count = new int[26]; }
public int hashCode()
{
int hash = 0;
for (int i = 0; i < 26; i++) {
hash += (i + 1) * count[i];
hash %= MOD;
}
return hash;
}
public boolean equals(Object o)
{
if (o == this)
return true;
if (!(o instanceof Substring))
return false;
Substring ob = (Substring)o;
for (int i = 0; i < 26; i++) {
if (ob.count[i] != count[i])
return false;
}
return true;
}} class GFG {
// Function to check anagrams
static void checkForAnagrams(String s, int n,
char X, int k)
{
boolean found = false;
// Prefix array to store frequencies
// of characters
int prefix[][] = new int[n + 1][26];
for (int i = 0; i < n; i++) {
prefix[i][s.charAt(i) - 97]++;
}
// Generate prefix sum
for (int i = 1; i < n; i++) {
for (int j = 0; j < 26; j++)
prefix[i][j] += prefix[i - 1][j];
}
// Map to store frequencies
HashMap<Substring, Integer> map
= new HashMap<>();
// Check for anagrams
for (int i = 0; i < n; i++) {
if (i + k > n)
break;
// Generate frequencies of characters
// of substring starting from i
Substring sub = new Substring();
for (int j = 0; j < 26; j++) {
sub.count[j]
= prefix[i + k - 1][j]
- (i - 1 >= 0
? prefix[i - 1][j]
: 0);
}
// Check if forbidden character is
// present, then continue
if (sub.count[X - 97] != 0)
continue;
// If already present in HashMap
if (map.containsKey(sub)) {
found = true;
// Print the substrings
System.out.println(
s.substring(map.get(sub),
map.get(sub) + k)
+ " " + s.substring(i, i + k));
break;
}
else {
map.put(sub, i);
}
}
// If no such substring is found
if (!found)
System.out.println("-1");
}
// Driver Code
public static void main(String[] args)
{
String s = "rotator";
int n = s.length();
char X = 'a';
int k = 3;
checkForAnagrams(s, n, X, k);
}}
Python3
Python Program to implement
the above approach
import sys MOD = 1000000007
Class to represent a Substring
in terms of frequency of
characters present in it
class Substring: def init(self): self.count = [0] * 26
def __hash__(self):
hash = 0
for i in range(26):
hash += (i + 1) * self.count[i]
hash %= MOD
return hash
def __eq__(self, other):
if self is other:
return True
if not isinstance(other, Substring):
return False
ob = other
for i in range(26):
if ob.count[i] != self.count[i]:
return False
return TrueFunction to check anagrams
def checkForAnagrams(s, n, X, k): found = False
# Prefix array to store frequencies
# of characters
prefix = [[0 for i in range(26)] for j in range(n + 1)]
for i in range(n):
prefix[i][ord(s[i]) - 97] += 1
# Generate prefix sum
for i in range(1, n):
for j in range(26):
prefix[i][j] += prefix[i - 1][j]
# Map to store frequencies
map = {}
# Check for anagrams
for i in range(n):
if i + k > n:
break
# Generate frequencies of characters
# of substring starting from i
sub = Substring()
for j in range(26):
sub.count[j] = prefix[i + k - 1][j] - (prefix[i - 1][j] if i - 1 >= 0 else 0)
# Check if forbidden character is
# present, then continue
if sub.count[ord(X) - 97] != 0:
continue
# If already present in HashMap
if sub in map:
found = True
# Print the substrings
print(s[map[sub]:map[sub] + k], s[i:i + k])
break
else:
map[sub] = i
# If no such substring is found
if not found:
print("-1")Driver Code
if name == "main": s = "rotator" n = len(s) X = 'a' k = 3 checkForAnagrams(s, n, X, k)
Contributed by adityasha4x71
C#
// c# code for the above approach using System; using System.Collections.Generic;
namespace Anagrams { // Class to represent a Substring // in terms of frequency of // characters present in it class Substring { public int[] count;
public Substring()
{
count = new int[26];
Array.Fill(count, 0);
}
public override bool Equals(object obj)
{
Substring other = obj as Substring;
if (other == null) {
return false;
}
for (int i = 0; i < 26; i++) {
if (other.count[i] != count[i]) {
return false;
}
}
return true;
}
public override int GetHashCode()
{
const int MOD = 1000000007;
int hash = 0;
for (int i = 0; i < 26; i++) {
hash += (i + 1) * count[i];
hash %= MOD;
}
return hash;
}}
class Program { // Function to check anagrams static void CheckForAnagrams(string s, int n, char X, int k) { bool found = false;
// Prefix array to store frequencies
// of characters
int[, ] prefix = new int[n + 1, 26];
for (int i = 0; i < n; i++) {
prefix[i, s[i] - 'a'] += 1;
}
// Generate prefix sum
for (int i = 1; i < n; i++) {
for (int j = 0; j < 26; j++) {
prefix[i, j] += prefix[i - 1, j];
}
}
// Dictionary to store frequencies
Dictionary<Substring, int> map
= new Dictionary<Substring, int>();
// Check for anagrams
for (int i = 0; i < n; i++) {
if (i + k > n) {
break;
}
// Generate frequencies of characters
// of substring starting from i
Substring sub = new Substring();
for (int j = 0; j < 26; j++) {
sub.count[j]
= prefix[i + k - 1, j]
- (i - 1 >= 0 ? prefix[i - 1, j] : 0);
}
// Check if forbidden character is
// present, then continue
if (sub.count[X - 'a'] != 0) {
continue;
}
// If already present in Dictionary
if (map.ContainsKey(sub)) {
found = true;
// Print the substrings
Console.WriteLine(s.Substring(map[sub], k)
+ " "
+ s.Substring(i, k));
break;
}
else {
map[sub] = i;
}
}
// If no such substring is found
if (!found) {
Console.WriteLine("-1");
}
}
// Driver Code
static void Main(string[] args)
{
string s = "rotator";
int n = s.Length;
char X = 'a';
int k = 3;
CheckForAnagrams(s, n, X, k);
}} }
JavaScript
function Substring() { this.count = new Array(26).fill(0); }
Substring.prototype.hash = function() { let hash = 0; for (let i = 0; i < 26; i++) { hash += (i + 1) * this.count[i]; hash %= 1000000007; } return hash; }
Substring.prototype.equals = function(other) { if (this === other) { return true; } if (!(other instanceof Substring)) { return false; } let ob = other; for (let i = 0; i < 26; i++) { if (ob.count[i] !== this.count[i]) { return false; } } return true; }
function checkForAnagrams(s, n, X, k) { let found = false;
// Prefix array to store frequencies of characters
let prefix = new Array(n + 1);
for (let i = 0; i <= n; i++) {
prefix[i] = new Array(26).fill(0);
}
for (let i = 0; i < n; i++) {
prefix[i][s.charCodeAt(i) - 97]++;
}
// Generate prefix sum
for (let i = 1; i < n; i++) {
for (let j = 0; j < 26; j++) {
prefix[i][j] += prefix[i - 1][j];
}
}
// Map to store frequencies of substrings
let map = new Map();
// Check for anagrams
for (let i = 0; i < n; i++) {
if (i + k > n) {
break;
}
// Generate frequencies of characters
// of substring starting from i
let sub = new Substring();
for (let j = 0; j < 26; j++) {
sub.count[j] = prefix[i + k - 1][j] - ((i - 1 >= 0) ? prefix[i - 1][j] : 0);
}
// Check if forbidden character is present, then continue
if (sub.count[X.charCodeAt(0) - 97] !== 0) {
continue;
}
// If already present in Map
if (map.has(sub.hash())) {
found = true;
// Print the substrings
console.log(s.substring(map.get(sub.hash()), map.get(sub.hash()) + k), s.substring(i, i + k));
break;
} else {
map.set(sub.hash(), i);
}
}
// If no such substring is found
if (!found) {
console.log("-1");
}}
let s = "rotator"; let n = s.length; let X = 'a'; let k = 3; checkForAnagrams(s, n, X, k);
`
Time Complexity: O(N*26)
Auxiliary Space: O(N*26)