Given an array arr[] consisting of positive integers. The task is to minimize the contiguous groups formed if each element from arr[] can be a part of atmost one group, and a number can be repeated only once.
Examples:
Input: arr[] = {1, 2, 1, 1, 1, 1, 1, 2, 3}
Output: { {1, 2, 1}, {1, 1}, {1, 1, 2, 3} }
Explanation: Following are the groups formed with given conditions.
In 1 2 1, 1 repeats 1 times.
In 1 1, 1 repeats 1 times.
In 1 1 2 3, 1 repeats 1 times.
Therefore, in total there are three groups formed, which is minimum possible.Input: arr[] = {1, 1}
Output: { {1, 1} }
Approach: This problem can be solved by using HashMaps. Follow the steps below to solve the given problem.
- Take a variable say, count = 0 for storing the number of groups formed and a 2D vector for storing groups.
- Traverse the array arr[] and start storing the frequency of array elements in a map and storing the current element in the vector.
- Whenever the frequency of any element becomes 2, take a flag variable to track one number with frequency 2 has encountered before and just move forward. Use that flag variable to break any group and increment the count variable and push the vector in 2D vector and clear the whole temporary vector and map.
- Now print the 2D vector as the required answer.
Below is the implementation of the above approach:
// C++ program for above approach #include <bits/stdc++.h> using namespace std;
// Function to find minimum groups // formed with given conditions void findMinimumGroups( int a[], int n)
{ map< int , int > m;
// 2D vector to store groups
vector<vector< int > > v;
int c = 0;
vector< int > v1;
bool to = 0;
for ( int i = 0; i < n; i++) {
v1.push_back(a[i]);
// Store frequency
m[a[i]]++;
// Counting number of groups
if (m[a[i]] >= 2) {
if (to or m[a[i]] == 3) {
c++;
// If element found again
// push in 2d vector
m.clear();
v1.pop_back();
v.push_back(v1);
v1.clear();
to = 0;
i--;
}
else
to = 1;
}
else if (i == n - 1) {
c++;
v.push_back(v1);
}
}
for ( int i = 0; i < v.size(); i++) {
for ( int j = 0; j < v[i].size(); j++) {
cout << v[i][j] << " " ;
}
cout << endl;
}
} // Driver Code int main()
{ int arr[] = { 1, 2, 1, 1, 1, 1, 1, 2, 3 };
int N = sizeof (arr) / sizeof (arr[0]);
// Function Call
findMinimumGroups(arr, N);
} |
import java.util.*;
class Main {
// Function to find minimum groups
// formed with given conditions
static void findMinimumGroups( int [] a, int n) {
Map<Integer, Integer> m = new HashMap<>();
// 2D List to store groups
List<List<Integer>> v = new ArrayList<>();
int c = 0 ;
List<Integer> v1 = new ArrayList<>();
boolean to = false ;
for ( int i = 0 ; i < n; i++) {
v1.add(a[i]);
// Store frequency
m.put(a[i], m.getOrDefault(a[i], 0 ) + 1 );
// Counting number of groups
if (m.get(a[i]) >= 2 ) {
if (to || m.get(a[i]) == 3 ) {
c++;
// If element found again
// push in 2D list
m.clear();
v1.remove(v1.size() - 1 );
v.add( new ArrayList<>(v1));
v1.clear();
to = false ;
i--;
} else {
to = true ;
}
} else if (i == n - 1 ) {
c++;
v.add( new ArrayList<>(v1));
}
}
for (List<Integer> list : v) {
for (Integer num : list) {
System.out.print(num + " " );
}
System.out.println();
}
}
// Driver Code
public static void main(String[] args) {
int [] arr = { 1 , 2 , 1 , 1 , 1 , 1 , 1 , 2 , 3 };
int N = arr.length;
// Function Call
findMinimumGroups(arr, N);
}
} |
# Python code for the above approach # Function to find minimum groups # formed with given conditions def findMinimumGroups(a, n):
m = dict ()
# 2D vector to store groups
v = []
c = 0
v1 = []
to = 0
i = 0
while (i < n):
v1.append(a[i])
# Store frequency
if (a[i] in m):
m[a[i]] = m[a[i]] + 1
else :
m[a[i]] = 1
# Counting number of groups
if (m[a[i]] > = 2 ):
if (to or m[a[i]] = = 3 ):
c + = 1
# If element found again
# append in 2d vector
m.clear()
v1.pop()
v.append(v1)
v1 = []
to = 0
i - = 1
else :
to = 1
elif (i = = n - 1 ):
c + = 1
v.append(v1)
i + = 1
for i in range ( len (v)):
for j in range ( len (v[i])):
print (v[i][j], end = " " )
print ()
# Driver Code arr = [ 1 , 2 , 1 , 1 , 1 , 1 , 1 , 2 , 3 ]
N = len (arr)
# Function Call findMinimumGroups(arr, N) # This code is contributed by shinjanpatra |
<script> // JavaScript code for the above approach
// Function to find minimum groups
// formed with given conditions
function findMinimumGroups(a, n) {
let m = new Map();
// 2D vector to store groups
let v = [];
let c = 0;
let v1 = [];
let to = 0;
for (let i = 0; i < n; i++) {
v1.push(a[i]);
// Store frequency
if (m.has(a[i])) {
m.set(a[i], m.get(a[i]) + 1)
}
else {
m.set(a[i], 1)
}
// Counting number of groups
if (m.get(a[i]) >= 2) {
if (to || m.get(a[i]) == 3) {
c++;
// If element found again
// push in 2d vector
m.clear();
v1.pop();
v.push(v1);
v1 = [];
to = 0;
i--;
}
else
to = 1;
}
else if (i == n - 1) {
c++;
v.push(v1);
}
}
for (let i = 0; i < v.length; i++) {
for (let j = 0; j < v[i].length; j++) {
document.write(v[i][j] + " " );
}
document.write( '<br>' )
}
}
// Driver Code
let arr = [1, 2, 1, 1, 1, 1, 1, 2, 3];
let N = arr.length;
// Function Call
findMinimumGroups(arr, N);
// This code is contributed by Potta Lokesh </script>
|
using System;
using System.Collections.Generic;
class Program
{ // Function to find minimum groups
// formed with given conditions
static void FindMinimumGroups( int [] a, int n)
{
Dictionary< int , int > m = new Dictionary< int , int >();
// 2D List to store groups
List<List< int >> v = new List<List< int >>();
int c = 0;
List< int > v1 = new List< int >();
bool to = false ;
for ( int i = 0; i < n; i++)
{
v1.Add(a[i]);
// Store frequency
if (m.ContainsKey(a[i]))
{
m[a[i]]++;
}
else
{
m[a[i]] = 1;
}
// Counting number of groups
if (m[a[i]] >= 2)
{
if (to || m[a[i]] == 3)
{
c++;
// If element found again
// push in 2D list
m.Clear();
v1.RemoveAt(v1.Count - 1);
v.Add( new List< int >(v1));
v1.Clear();
to = false ;
i--;
}
else
{
to = true ;
}
}
else if (i == n - 1)
{
c++;
v.Add( new List< int >(v1));
}
}
foreach (List< int > list in v)
{
foreach ( int num in list)
{
Console.Write(num + " " );
}
Console.WriteLine();
}
}
static void Main( string [] args)
{
int [] arr = { 1, 2, 1, 1, 1, 1, 1, 2, 3 };
int N = arr.Length;
// Function Call
FindMinimumGroups(arr, N);
Console.ReadLine();
}
} |
1 2 1 1 1 1 1 2 3
Time Complexity: O(N)
Auxiliary Space: O(N)