Find duplicate rows in a binary matrix
Last Updated :
15 Apr, 2024
Given a binary matrix whose elements are only 0 and 1, we need to print the rows which are duplicates of rows that are already present in the matrix.
Examples:
Input : {1, 1, 0, 1, 0, 1},
{0, 0, 1, 0, 0, 1},
{1, 0, 1, 1, 0, 0},
{1, 1, 0, 1, 0, 1},
{0, 0, 1, 0, 0, 1},
{0, 0, 1, 0, 0, 1}.
Output :
There is a duplicate row at position: 4
There is a duplicate row at position: 5
There is a duplicate row at position: 6
This problem is mainly an extension of find unique rows in a binary matrix.
A Simple Solution is to traverse all rows one by one. For every row, check if it is present anywhere else. If yes print the row.
C++
// C++ code for above approach
#include <iostream>
#include <vector>
using namespace std;
// Function to find duplicate rows
void duplicate_rows(vector<vector<int> > matrix, int rows,
int columns)
{
// loop through all rows
for (int i = 0; i < rows; i++) {
// flag to check if current row is
// repeated or not
bool found = false;
// loop through all rows before
// the current row
for (int j = 0; j < i; j++) {
int k = 0;
// loop through all elements of current
// row and compare with previous row
for (k = 0; k < columns; k++) {
if (matrix[i][k] != matrix[j][k])
break;
}
// if all elements are same, mark
// the current row as repeated
if (k == columns) {
found = true;
break;
}
}
// if the current row is repeated
// print the row position
if (found) {
cout << "There is a duplicate row at position: "
<< i + 1;
cout << endl;
}
}
}
// Driver code
int main()
{
vector<vector<int> > matrix
= { { 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 } };
int rows = matrix.size();
int columns = matrix[0].size();
duplicate_rows(matrix, rows, columns);
return 0;
}
// This code is contributed by Aman Kumar.
Java
import java.util.ArrayList;
public class Main {
// Function to find duplicate rows
public static void
duplicateRows(ArrayList<ArrayList<Integer> > matrix,
int rows, int columns)
{
// loop through all rows
for (int i = 0; i < rows; i++) {
// flag to check if current row is repeated or
// not
boolean found = false;
// loop through all rows before the current row
for (int j = 0; j < i; j++) {
int k = 0;
// loop through all elements of current row
// and compare with previous row
for (k = 0; k < columns; k++) {
if (matrix.get(i).get(k)
!= matrix.get(j).get(k))
break;
}
// if all elements are same, mark the
// current row as repeated
if (k == columns) {
found = true;
break;
}
}
// if the current row is repeated, print the row
// position
if (found) {
System.out.println(
"There is a duplicate row at position: "
+ (i + 1));
}
}
}
// Driver code
public static void main(String[] args)
{
ArrayList<ArrayList<Integer> > matrix
= new ArrayList<ArrayList<Integer> >();
matrix.add(new ArrayList<Integer>() {
{
add(1);
add(1);
add(0);
add(1);
add(0);
add(1);
}
});
matrix.add(new ArrayList<Integer>() {
{
add(0);
add(0);
add(1);
add(0);
add(0);
add(1);
}
});
matrix.add(new ArrayList<Integer>() {
{
add(1);
add(0);
add(1);
add(1);
add(0);
add(0);
}
});
matrix.add(new ArrayList<Integer>() {
{
add(1);
add(1);
add(0);
add(1);
add(0);
add(1);
}
});
matrix.add(new ArrayList<Integer>() {
{
add(0);
add(0);
add(1);
add(0);
add(0);
add(1);
}
});
matrix.add(new ArrayList<Integer>() {
{
add(0);
add(0);
add(1);
add(0);
add(0);
add(1);
}
});
int rows = matrix.size();
int columns = matrix.get(0).size();
duplicateRows(matrix, rows, columns);
}
}
Python3
# Python code for above approach
def duplicate_rows(matrix, rows, columns):
# loop through all rows
for i in range(rows):
# flag to check if current row is repeated or not
found = False
# loop through all rows before the current row
for j in range(i):
k = 0
# loop through all elements of current row
# and compare with previous row
while k < columns:
if matrix[i][k] != matrix[j][k]:
break
k += 1
# if all elements are same, mark the current row as repeated
if k == columns:
found = True
break
# if the current row is repeated, print the row position
if found:
print("There is a duplicate row at position:", i+1)
# Driver code
matrix = [[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1]]
rows = len(matrix)
columns = len(matrix[0])
duplicate_rows(matrix, rows, columns)
# This code is contributed by sdeaditysharma
C#
// C# code for above approach
using System;
using System.Collections.Generic;
public class Program {
// Function to find duplicate rows
public static void
DuplicateRows(List<List<int> > matrix, int rows,
int columns)
{
// loop through all rows
for (int i = 0; i < rows; i++) {
// flag to check if current row is
// repeated or not
bool found = false;
// loop through all rows before
// the current row
for (int j = 0; j < i; j++) {
int k = 0;
// loop through all elements of current
// row and compare with previous row
for (k = 0; k < columns; k++) {
if (matrix[i][k] != matrix[j][k])
break;
}
// if all elements are same, mark
// the current row as repeated
if (k == columns) {
found = true;
break;
}
}
// if the current row is repeated
// print the row position
if (found) {
Console.WriteLine(
"There is a duplicate row at position: "
+ (i + 1));
}
}
}
// Driver code
public static void Main()
{
List<List<int> > matrix = new List<List<int> >{
new List<int>{ 1, 1, 0, 1, 0, 1 },
new List<int>{ 0, 0, 1, 0, 0, 1 },
new List<int>{ 1, 0, 1, 1, 0, 0 },
new List<int>{ 1, 1, 0, 1, 0, 1 },
new List<int>{ 0, 0, 1, 0, 0, 1 },
new List<int>{ 0, 0, 1, 0, 0, 1 }
};
int rows = matrix.Count;
int columns = matrix[0].Count;
DuplicateRows(matrix, rows, columns);
}
}
// Contributed by adityasha4x71
JavaScript
// JavaScript code for above approach
function duplicate_rows(matrix, rows, columns) { // loop through all rows
for (let i = 0; i < rows; i++) {
// flag to check if current row is repeated or not
let found = false;
// loop through all rows before the current row
for (let j = 0; j < i; j++) {
let k = 0;
// loop through all elements of current row
// and compare with previous row
while (k < columns) {
if (matrix[i][k] !== matrix[j][k]) {
break;
}
k++;
}
// if all elements are same, mark the current row as repeated
if (k === columns) {
found = true;
break;
}
}
// if the current row is repeated, print the row position
if (found) {
console.log(`There is a duplicate row at position: ${i+1}`);
}
}
}
// Driver code
const matrix = [[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1]];
const rows = matrix.length;
const columns = matrix[0].length;
duplicate_rows(matrix, rows, columns);
OutputThere is a duplicate row at position: 4
There is a duplicate row at position: 5
There is a duplicate row at position: 6
- Time complexity : O(ROW^2 x COL)
- Auxiliary Space : O(1)
Optimal solution using Trie Trie is an efficient data structure used for storing and retrieval of data where the character set is small. The searching complexity is optimal as key length.
The solution approach towards the question is to first insert the matrix in the binary trie and then if the new added row is already present in the trie then we will now that it is a duplicate row
Implementation:
C++
// C++ program to find duplicate rows
// in a binary matrix.
#include <bits/stdc++.h>
const int MAX = 100;
/*struct the Trie*/
struct Trie {
bool leaf;
Trie* children[2];
};
/*function to get Trienode*/
Trie* getNewTrieNode()
{
Trie* node = new Trie;
node->children[0] = node->children[1] = NULL;
node->leaf = false;
return node;
}
/* function to insert a row in Trie*/
bool insert(Trie*& head, bool* arr, int N)
{
Trie* curr = head;
for (int i = 0; i < N; i++) {
/*creating a new path if it don not exist*/
if (curr->children[arr[i]] == NULL)
curr->children[arr[i]] = getNewTrieNode();
curr = curr->children[arr[i]];
}
/*if the row already exist return false*/
if (curr->leaf)
return false;
/* making leaf node tree and return true*/
return (curr->leaf = true);
}
void printDuplicateRows(bool mat[][MAX], int M, int N)
{
Trie* head = getNewTrieNode();
/*inserting into Trie and checking for duplicates*/
for (int i = 0; i < M; i++)
// If already exists
if (!insert(head, mat[i], N))
printf("There is a duplicate row"
" at position: %d \n",
i + 1);
}
/*driver function to check*/
int main()
{
bool mat[][MAX] = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
};
printDuplicateRows(mat, 6, 6);
return 0;
}
Java
// Java program to find duplicate rows
// in a binary matrix.
class GFG {
static final int MAX = 100;
static class Trie {
public boolean leaf;
public Trie children[] = new Trie[2];
};
// function to get Trienode/
static Trie getNewTrieNode()
{
Trie node = new Trie();
node.children[0] = null;
node.children[1] = null;
node.leaf = false;
return node;
}
// function to insert a row in Trie/
static boolean insert(Trie head, int[] arr, int N)
{
Trie curr = head;
for (int i = 0; i < N; i++) {
// creating a new path if it don not exist/
if (curr.children[arr[i]] == null)
curr.children[arr[i]] = getNewTrieNode();
curr = curr.children[arr[i]];
}
// if the row already exist return false/
if (curr.leaf)
return false;
// making leaf node tree and return true/
curr.leaf = true;
return true;
}
static void printDuplicateRows(int[][] mat, int M,
int N)
{
Trie head = getNewTrieNode();
// inserting into Trie and checking for duplicates
for (int i = 0; i < M; i++)
// If already exists
if (!insert(head, mat[i], N))
System.out.printf(
"There is a duplicate row at position: %d \n",
i + 1);
}
// driver function to check/
public static void main(String[] args)
{
int mat[][] = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
};
printDuplicateRows(mat, 6, 6);
}
}
// This code is contributed by phasing17.
Python3
# Python3 program to find duplicate rows
# in a binary matrix.
class Trie:
def __init__(self):
self.leaf = False
self.children = [None, None]
MAX = 100
# function to get Trienode
def getNewTrieNode():
node = Trie()
node.children[0] = None
node.children[1] = None
node.leaf = False
return node
# function to insert a row in Trie/
def insert(head, arr, N):
curr = head
for i in range(N):
# creating a new path if it don not exist/
if (curr.children[arr[i]] == None):
curr.children[arr[i]] = getNewTrieNode()
curr = curr.children[arr[i]]
# if the row already exist return False/
if (curr.leaf):
return False
# making leaf node tree and return True/
curr.leaf = True
return True
def printDuplicateRows(mat, M, N):
head = getNewTrieNode()
# inserting into Trie and checking for duplicates
for i in range(M):
# If already exists
if (not insert(head, mat[i], N)):
print("There is a duplicate row at position:", (i + 1))
# driver function to check/
mat = [
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1],
]
printDuplicateRows(mat, 6, 6)
# This code is contributed by phasing17
C#
// C# program to find duplicate rows
// in a binary matrix.
using System;
using System.Collections.Generic;
class Trie {
public bool leaf;
public Trie[] children = new Trie[2];
};
class GFG {
static int MAX = 100;
// function to get Trienode/
static Trie getNewTrieNode()
{
Trie node = new Trie();
node.children[0] = null;
node.children[1] = null;
node.leaf = false;
return node;
}
// function to insert a row in Trie/
static bool insert(Trie head, int[] arr, int N)
{
Trie curr = head;
for (int i = 0; i < N; i++) {
// creating a new path if it don not exist/
if (curr.children[arr[i]] == null)
curr.children[arr[i]] = getNewTrieNode();
curr = curr.children[arr[i]];
}
// if the row already exist return false/
if (curr.leaf)
return false;
// making leaf node tree and return true/
curr.leaf = true;
return true;
}
static void printDuplicateRows(int[][] mat, int M,
int N)
{
Trie head = getNewTrieNode();
// inserting into Trie and checking for duplicates
for (int i = 0; i < M; i++)
// If already exists
if (!insert(head, mat[i], N))
Console.WriteLine(
"There is a duplicate row at position: "
+ (i + 1));
}
// driver function to check/
public static void Main(string[] args)
{
int[][] mat = {
new int[] { 1, 1, 0, 1, 0, 1 },
new int[] { 0, 0, 1, 0, 0, 1 },
new int[] { 1, 0, 1, 1, 0, 0 },
new int[] { 1, 1, 0, 1, 0, 1 },
new int[] { 0, 0, 1, 0, 0, 1 },
new int[] { 0, 0, 1, 0, 0, 1 },
};
printDuplicateRows(mat, 6, 6);
}
}
// This code is contributed by phasing17.
JavaScript
// JS program to find duplicate rows
// in a binary matrix.
class Trie {
constructor()
{
this.leaf = false;
this.children = new Array(2);
}
};
let MAX = 100;
// function to get Trienode/
function getNewTrieNode()
{
let node = new Trie();
node.children[0] = null;
node.children[1] = null;
node.leaf = false;
return node;
}
// function to insert a row in Trie/
function insert(head, arr, N)
{
let curr = head;
for (let i = 0; i < N; i++) {
// creating a new path if it don not exist/
if (curr.children[arr[i]] == null)
curr.children[arr[i]] = getNewTrieNode();
curr = curr.children[arr[i]];
}
// if the row already exist return false/
if (curr.leaf)
return false;
// making leaf node tree and return true/
curr.leaf = true;
return true;
}
function printDuplicateRows(mat, M, N)
{
let head = getNewTrieNode();
// inserting into Trie and checking for duplicates
for (let i = 0; i < M; i++)
// If already exists
if (!insert(head, mat[i], N))
console.log(
"There is a duplicate row at position: "
+ (i + 1));
}
// driver function to check/
let mat = [
[ 1, 1, 0, 1, 0, 1 ],
[ 0, 0, 1, 0, 0, 1 ],
[ 1, 0, 1, 1, 0, 0 ],
[ 1, 1, 0, 1, 0, 1 ],
[ 0, 0, 1, 0, 0, 1 ],
[ 0, 0, 1, 0, 0, 1 ],
];
printDuplicateRows(mat, 6, 6);
// This code is contributed by phasing17.
OutputThere is a duplicate row at position: 4
There is a duplicate row at position: 5
There is a duplicate row at position: 6
Time Complexity: O(M*N)
Auxiliary Space: O(M*N), to build trie.
Another approach without using Trie but does not work for large number of columns :
Another approach is to convert the decimal equivalent of row and check if a new row has the same decimal equivalent then it is a duplicate row. It will not work if the number of columns is large .
Here is the implementation of the above approach.
C++
#include <iostream>
#include <set>
#include <vector>
using namespace std;
vector<int> repeatedRows(vector<vector<int> > matrix, int M,
int N)
{
set<int> s;
// vector to store the repeated rows
vector<int> res;
for (int i = 0; i < M; i++) {
// calculating decimal equivalent of the row
int no = 0;
for (int j = 0; j < N; j++) {
no += (matrix[i][j] << j);
}
/*
rows with same decimal equivalent will be same,
therefore, checking through set if the calculated
equivalent was present before; if yes then add to
the result otherwise insert in the set
*/
if (s.find(no) != s.end()) {
res.push_back(i);
}
else {
s.insert(no);
}
}
return res;
}
int main()
{
vector<vector<int> > matrix = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
};
int m = matrix.size();
int n = matrix[0].size();
vector<int> res = repeatedRows(matrix, m, n);
for (int e : res) {
cout << "There is a duplicate row at position: "
<< e + 1 << '\n';
}
return 0;
}
Java
/*package whatever //do not write package name here */
import java.io.*;
import java.util.*;
class GFG {
static ArrayList<Integer> repeatedRows(int[][] matrix,
int M, int N)
{
TreeSet<Integer> s = new TreeSet<>();
// vector to store the repeated rows
ArrayList<Integer> res = new ArrayList<>();
for (int i = 0; i < M; i++) {
// calculating decimal equivalent of the row
int no = 0;
for (int j = 0; j < N; j++) {
no += (matrix[i][j] << j);
}
/*
rows with same decimal equivalent will be
same, therefore, checking through set if the
calculated equivalent was present before; if
yes then add to the result otherwise insert
in the set
*/
if (s.contains(no)) {
res.add(i);
}
else {
s.add(no);
}
}
return res;
}
// Driver Code
public static void main(String args[])
{
int[][] matrix = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 }
};
int m = matrix.length;
int n = matrix[0].length;
ArrayList<Integer> res = repeatedRows(matrix, m, n);
for (int e : res) {
System.out.println(
"There is a duplicate row at position: "
+ (e + 1));
}
}
}
// This code is contributed by shinjanpatra
Python3
def repeatedRows(matrix, M, N):
s = set()
# vector to store the repeated rows
res = []
for i in range(M):
# calculating decimal equivalent of the row
no = 0
for j in range(N):
no += (matrix[i][j] << j)
# rows with same decimal equivalent will be same,
# therefore, checking through set if the calculated equivalent was
# present before
# if yes then add to the result otherwise insert in the set
if(no in s):
res.append(i)
else:
s.add(no)
return res
# driver code
matrix = [
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1]
]
m = len(matrix)
n = len(matrix[0])
res = repeatedRows(matrix, m, n)
for e in res:
print("There is a duplicate row at position: "+str(e+1))
# This code is contributed by shinjanpatra
C#
using System;
using System.Collections.Generic;
class GFG {
static List<int> repeatedRows(int[, ] matrix, int M,
int N)
{
HashSet<int> s = new HashSet<int>();
// vector to store the repeated rows
List<int> res = new List<int>();
for (int i = 0; i < M; i++) {
// calculating decimal equivalent of the row
int no = 0;
for (int j = 0; j < N; j++) {
no += (matrix[i, j] << j);
}
/*
rows with same decimal equivalent will be
same, therefore, checking through set if the
calculated equivalent was present before; if
yes then add to the result otherwise insert
in the set
*/
if (s.Contains(no)) {
res.Add(i);
}
else {
s.Add(no);
}
}
return res;
}
// Driver Code
public static void Main(string[] args)
{
int[, ] matrix = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 }
};
int m = matrix.GetLength(0);
int n = matrix.GetLength(1);
List<int> res = repeatedRows(matrix, m, n);
foreach(int e in res)
{
Console.WriteLine(
"There is a duplicate row at position: "
+ (e + 1));
}
}
}
// This code is contributed by phasing17
JavaScript
<script>
function repeatedRows(matrix,M,N)
{
let s = new Set();
// vector to store the repeated rows
let res = [];
for(let i=0;i<M;i++){
// calculating decimal equivalent of the row
let no=0;
for(let j=0;j<N;j++){
no+=(matrix[i][j]<<j);
}
/*
rows with same decimal equivalent will be same,
therefore, checking through set if the calculated equivalent was
present before;
if yes then add to the result otherwise insert in the set
*/
if(s.has(no)){
res.push(i);
}
else{
s.add(no);
}
}
return res;
}
// driver code
let matrix = [
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1]
];
let m = matrix.length;
let n = matrix[0].length;
let res = repeatedRows(matrix,m,n);
for(let e of res){
document.write("There is a duplicate row at position: "+(e+1),"</br>");
}
// This code is contributed by shinjanpatra
</script>
OutputThere is a duplicate row at position: 4
There is a duplicate row at position: 5
There is a duplicate row at position: 6
Time Complexity: O(M*N)
Auxiliary Space: O(M), where M is number of rows
Finding duplicate rows in a binary matrix by converting each row into string:
Use a hash set to store string representations of each row, allowing for quick lookup and comparison. By iterating through the rows and concatenating their elements into strings, then checks for duplicate strings in the hash set. If a duplicate is found, the index of the corresponding row is added to a result array.
Steps-by-step approach:
- Create an empty hash set called rows to store string representations of the rows in the matrix.
- Iterate Through Rows, for each row in the matrix:
- Create an empty string temp.
- Iterate through the elements of the row and concatenate them to temp. This creates a string representation of the row.
- Check if temp already exists in the rows hash set.
- If it does, it means the row is a duplicate, so add its index to the result vector.
- If it doesn’t, insert temp into the rows hash set.
- After processing all rows, return the result[] array containing the indices of the duplicate rows.
Below are the implementation of the above approach:
C++
// C++ program to find duplicate rows
// in a binary matrix.
#include <bits/stdc++.h>
using namespace std;
// Function to find duplicate rows in a binary matrix
vector<int> repeatedRows(vector<vector<int> > matrix, int M,
int N)
{
// Stores the indices of duplicate rows
vector<int> result;
// Hash set to store string representation of rows
unordered_set<string> rows;
// Traverse each row of the matrix
for (int i = 0; i < M; ++i) {
string temp = "";
// Concatenate each element of the row to form a
// string
for (int j = 0; j < N; ++j) {
temp = temp + to_string(matrix[i][j]);
}
// If the row string is already present in the set,
// it's a duplicate row, so add its index to the
// result vector
if (rows.find(temp) != rows.end()) {
result.push_back(i);
}
// Otherwise, insert the row string into the set
else {
rows.insert(temp);
}
}
return result;
}
// Main function
int main()
{
// Binary matrix
vector<vector<int> > matrix = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
};
// Number of rows in the matrix
int m = matrix.size();
// Number of columns in the matrix
int n = matrix[0].size();
// Find duplicate rows and store their indices in res
// vector
vector<int> res = repeatedRows(matrix, m, n);
// Print the indices of duplicate rows
for (int e : res) {
cout << "There is a duplicate row at position: "
<< e + 1 << '\n';
}
return 0;
}
Java
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
public class DuplicateRowsInMatrix {
// Function to find duplicate rows in a binary matrix
public static List<Integer> repeatedRows(int[][] matrix)
{
// Stores the indices of duplicate rows
List<Integer> result = new ArrayList<>();
// Set to store string representation of rows
Set<String> rows = new HashSet<>();
// Traverse each row of the matrix
for (int i = 0; i < matrix.length; i++) {
StringBuilder temp = new StringBuilder();
// Concatenate each element of the row to form a
// string
for (int j = 0; j < matrix[0].length; j++) {
temp.append(matrix[i][j]);
}
String rowString = temp.toString();
// If the row string is already present in the
// set, it's a duplicate row, so add its index
// to the result list
if (rows.contains(rowString)) {
result.add(i);
}
else {
// Otherwise, insert the row string into the
// set
rows.add(rowString);
}
}
return result;
}
// Main method
public static void main(String[] args)
{
// Binary matrix
int[][] matrix = {
{ 1, 1, 0, 1, 0, 1 }, { 0, 0, 1, 0, 0, 1 },
{ 1, 0, 1, 1, 0, 0 }, { 1, 1, 0, 1, 0, 1 },
{ 0, 0, 1, 0, 0, 1 }, { 0, 0, 1, 0, 0, 1 }
};
// Find duplicate rows and store their indices in
// res list
List<Integer> res = repeatedRows(matrix);
// Print the indices of duplicate rows
for (int e : res) {
System.out.println(
"There is a duplicate row at position: "
+ (e + 1));
}
}
}
Python3
# Function to find duplicate rows in a binary matrix
def repeated_rows(matrix):
# Stores the indices of duplicate rows
result = []
# Set to store string representation of rows
rows = set()
# Traverse each row of the matrix
for i, row in enumerate(matrix):
# Convert row to string
row_str = ''.join(map(str, row))
# If the row string is already present in the set,
# it's a duplicate row, so add its index to the
# result list
if row_str in rows:
result.append(i)
# Otherwise, insert the row string into the set
else:
rows.add(row_str)
return result
# Binary matrix
matrix = [
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1],
]
# Find duplicate rows and store their indices in res list
res = repeated_rows(matrix)
# Print the indices of duplicate rows
for idx in res:
print("There is a duplicate row at position:", idx + 1)
JavaScript
// Function to find duplicate rows in a binary matrix
function repeatedRows(matrix) {
// Stores the indices of duplicate rows
let result = [];
// Set to store string representation of rows
let rows = new Set();
// Traverse each row of the matrix
for (let i = 0; i < matrix.length; i++) {
let temp = '';
// Concatenate each element of the row to form a string
for (let j = 0; j < matrix[0].length; j++) {
temp += matrix[i][j];
}
let rowString = temp;
// If the row string is already present in the set, it's a duplicate row, so add its index to the result list
if (rows.has(rowString)) {
result.push(i);
} else {
// Otherwise, insert the row string into the set
rows.add(rowString);
}
}
return result;
}
// Main method
function main() {
// Binary matrix
let matrix = [
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[0, 0, 1, 0, 0, 1],
[0, 0, 1, 0, 0, 1]
];
// Find duplicate rows and store their indices in result array
let result = repeatedRows(matrix);
// Print the indices of duplicate rows
result.forEach(e => {
console.log("There is a duplicate row at position: " + (e + 1));
});
}
// Calling the main function
main();
OutputThere is a duplicate row at position: 4
There is a duplicate row at position: 5
There is a duplicate row at position: 6
Time Complexity: O(M*N)
Auxiliary Space: O(M), where M is number of rows
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