Given an array arr[] of size N, the task is to count the number of subarrays from the given array, such that each distinct element in these subarray occurs at least twice.
Examples:
Input: arr[] = {1, 1, 2, 2, 2}
Output: 6
Explanation: Subarrays having each element occurring at least twice are :{{1, 1}, {1, 1, 2, 2}, {1, 1, 2, 2, 2}, {2, 2}, {2, 2, 2}, {2, 2}}.
Therefore, the required output is 6.Input: arr[] = {1, 2, 1, 2, 3}
Output: 1
Naive Approach: The simplest approach to solve this problem is to traverse the array and generate all possible subarrays of the given array and for each subarray, check if all elements in the subarray occurs at least twice or not. If found to be true, then increment the count. Finally, print the count obtained.
Time Complexity: O(N3)
Auxiliary Space: O(N)
Efficient Approach: To optimize the above approach the idea is to use Hashing. Follow the steps below to solve the problem:
- Initialize a variable, say cntSub to store the count of subarrays such that each element in the subarray occurs at least twice.
- Create a Map, say cntFreq, to store the frequency of elements of each subarray.
- Initialize a variable, say cntUnique, to store the count of elements in a subarray whose frequency is 1.
- Traverse the array and generate all possible subarrays. For each possible subarray, store the frequency of each element of the array and check if the value of cntUnique is 0 or not. If found to be true, then increment the value of cntSub.
- Finally, print the value of cntSub.
Below is the implementation of the above approach:
// C++ program to implement // the above approach #include <bits/stdc++.h> using namespace std;
// Function to get the count // of subarrays having each // element occurring at least twice int cntSubarrays( int arr[], int N)
{ // Stores count of subarrays
// having each distinct element
// occurring at least twice
int cntSub = 0;
// Stores count of unique
// elements in a subarray
int cntUnique = 0;
// Store frequency of
// each element of a subarray
unordered_map< int , int > cntFreq;
// Traverse the given
// array
for ( int i = 0; i < N;
i++) {
// Count frequency and
// check conditions for
// each subarray
for ( int j = i; j < N;
j++) {
// Update frequency
cntFreq[arr[j]]++;
// Check if frequency of
// arr[j] equal to 1
if (cntFreq[arr[j]]
== 1) {
// Update Count of
// unique elements
cntUnique++;
}
else if (cntFreq[arr[j]]
== 2) {
// Update count of
// unique elements
cntUnique--;
}
// If each element of subarray
// occurs at least twice
if (cntUnique == 0) {
// Update cntSub
cntSub++;
}
}
// Remove all elements
// from the subarray
cntFreq.clear();
// Update cntUnique
cntUnique = 0;
}
return cntSub;
} // Driver Code int main()
{ int arr[] = { 1, 1, 2, 2, 2 };
int N = sizeof (arr) / sizeof (arr[0]);
cout << cntSubarrays(arr, N);
} |
// Java program to implement // the above approach import java.util.*;
class GFG{
// Function to get the count // of subarrays having each // element occurring at least twice static int cntSubarrays( int arr[], int N)
{ // Stores count of subarrays
// having each distinct element
// occurring at least twice
int cntSub = 0 ;
// Stores count of unique
// elements in a subarray
int cntUnique = 0 ;
// Store frequency of
// each element of a subarray
Map<Integer,
Integer> cntFreq = new HashMap<Integer,
Integer>();
// Traverse the given
// array
for ( int i = 0 ; i < N; i++)
{
// Count frequency and
// check conditions for
// each subarray
for ( int j = i; j < N; j++)
{
// Update frequency
cntFreq.put(arr[j],
cntFreq.getOrDefault(
arr[j], 0 ) + 1 );
// Check if frequency of
// arr[j] equal to 1
if (cntFreq.get(arr[j]) == 1 )
{
// Update Count of
// unique elements
cntUnique++;
}
else if (cntFreq.get(arr[j]) == 2 )
{
// Update count of
// unique elements
cntUnique--;
}
// If each element of subarray
// occurs at least twice
if (cntUnique == 0 )
{
// Update cntSub
cntSub++;
}
}
// Remove all elements
// from the subarray
cntFreq.clear();
// Update cntUnique
cntUnique = 0 ;
}
return cntSub;
} // Driver Code public static void main(String args[])
{ int arr[] = { 1 , 1 , 2 , 2 , 2 };
int N = arr.length;
System.out.println(cntSubarrays(arr, N));
} } // This code is contributed by SURENDRA_GANGWAR |
# Python3 program to implement # the above approach from collections import defaultdict
# Function to get the count # of subarrays having each # element occurring at least twice def cntSubarrays(arr, N):
# Stores count of subarrays
# having each distinct element
# occurring at least twice
cntSub = 0
# Stores count of unique
# elements in a subarray
cntUnique = 0
# Store frequency of
# each element of a subarray
cntFreq = defaultdict( lambda : 0 )
# Traverse the given
# array
for i in range (N):
# Count frequency and
# check conditions for
# each subarray
for j in range (i, N):
# Update frequency
cntFreq[arr[j]] + = 1
# Check if frequency of
# arr[j] equal to 1
if (cntFreq[arr[j]] = = 1 ):
# Update Count of
# unique elements
cntUnique + = 1
elif (cntFreq[arr[j]] = = 2 ):
# Update count of
# unique elements
cntUnique - = 1
# If each element of subarray
# occurs at least twice
if (cntUnique = = 0 ):
# Update cntSub
cntSub + = 1
# Remove all elements
# from the subarray
cntFreq.clear()
# Update cntUnique
cntUnique = 0
return cntSub
# Driver code if __name__ = = '__main__' :
arr = [ 1 , 1 , 2 , 2 , 2 ]
N = len (arr)
print (cntSubarrays(arr, N))
# This code is contributed by Shivam Singh |
// C# program to implement // the above approach using System;
using System.Collections.Generic;
class GFG{
// Function to get the count // of subarrays having each // element occurring at least twice static int cntSubarrays( int [] arr, int N)
{ // Stores count of subarrays
// having each distinct element
// occurring at least twice
int cntSub = 0;
// Stores count of unique
// elements in a subarray
int cntUnique = 0;
// Store frequency of
// each element of a subarray
Dictionary< int ,
int > cntFreq = new Dictionary< int ,
int >();
// Traverse the given
// array
for ( int i = 0; i < N; i++)
{
// Count frequency and
// check conditions for
// each subarray
for ( int j = i; j < N; j++)
{
// Update frequency
if (cntFreq.ContainsKey(arr[j]))
{
var val = cntFreq[arr[j]];
cntFreq.Remove(arr[j]);
cntFreq.Add(arr[j], val + 1);
}
else {
cntFreq.Add(arr[j], 1);
}
// Check if frequency of
// arr[j] equal to 1
if (cntFreq[arr[j]] == 1)
{
// Update Count of
// unique elements
cntUnique++;
}
else if (cntFreq[arr[j]] == 2)
{
// Update count of
// unique elements
cntUnique--;
}
// If each element of subarray
// occurs at least twice
if (cntUnique == 0)
{
// Update cntSub
cntSub++;
}
}
// Remove all elements
// from the subarray
cntFreq.Clear();
// Update cntUnique
cntUnique = 0;
}
return cntSub;
} // Driver Code public static void Main()
{ int [] arr = { 1, 1, 2, 2, 2 };
int N = arr.Length;
Console.Write(cntSubarrays(arr, N));
} } // This code is contributed by subhammahato348 |
<script> // Javascript program to implement // the above approach // Function to get the count // of subarrays having each // element occurring at least twice function cntSubarrays(arr, N)
{ // Stores count of subarrays
// having each distinct element
// occurring at least twice
var cntSub = 0;
// Stores count of unique
// elements in a subarray
var cntUnique = 0;
// Store frequency of
// each element of a subarray
var cntFreq = new Map();
// Traverse the given
// array
for ( var i = 0; i < N;
i++) {
// Count frequency and
// check conditions for
// each subarray
for ( var j = i; j < N;
j++) {
// Update frequency
if (cntFreq.has(arr[j]))
cntFreq.set(arr[j], cntFreq.get(arr[j])+1)
else
cntFreq.set(arr[j], 1);
// Check if frequency of
// arr[j] equal to 1
if (cntFreq.get(arr[j])
== 1) {
// Update Count of
// unique elements
cntUnique++;
}
else if (cntFreq.get(arr[j])
== 2) {
// Update count of
// unique elements
cntUnique--;
}
// If each element of subarray
// occurs at least twice
if (cntUnique == 0) {
// Update cntSub
cntSub++;
}
}
// Remove all elements
// from the subarray
cntFreq = new Map();
// Update cntUnique
cntUnique = 0;
}
return cntSub;
} // Driver Code var arr = [1, 1, 2, 2, 2];
var N = arr.length;
document.write( cntSubarrays(arr, N)); // This code is contributed by itsok. </script> |
6
Time Complexity: O(N2)
Auxiliary Space: O(N)