Count of ways to select prime or non-prime number based on Array index
Last Updated :
25 Nov, 2022
Given an array A[] of size N. An array has to be created using the given array considering the following conditions.
- If the index is prime, you must choose a non-prime number that is less than or equal to A[i].
- If the index is non-prime, you must choose a prime number that it less than or equal to A[i].
The task is to count the total number of ways such numbers can be selected.
Note: The indexing of the given array should be considered 1-based indexing.
Examples:
Input: N = 5 A = {2, 3, 4, 8, 5}
Output: 16
Explanation: You can choose 1 number for index 1 i.e., 2
(As index 1 is not prime and prime number count less than
or equal to 2 is one i.e. 2), 1 number for index 2,
2 numbers for index 3, 4 numbers for index 4
and 2 numbers for index 5.
Hence total number of ways = 1x1x2x4x2 = 16.
Input: N = 2 A = {5, 6}
Output: 9
Explanation: You can choose 3 number for index 1,
3 numbers for index 2. Hence total number of ways = 3x3 = 9 .
Approach: The idea to solve the problem is as follows:
- Counting and store the value of all non-prime and prime in an array till the maximum element of the array.
- Then iterate the given array and then if index i is non-prime we multiply the prime count till A[i] and perform the similar operation for prime index.
Follow the below illustration for a better understanding
Illustration:
Consider an example N = 5 and A[] = {2, 3, 4, 8, 5}
As index 1 is Non Prime So Prime number count less than or equal to 2 is 1 (i.e 2)
As index 2 is Prime So Non Prime number count less than or equal to 3 is 1 (i.e 1)
As index 3 is Prime So Non Prime number count less than or equal to 4 is 2 (i.e 1, 4)
As index 4 is Non Prime So Prime number count less than or equal to 8 is 4 (i.e 2, 3, 5, 7)
As index 5 is Prime So Non Prime number count less than or equal to 5 is 2 (i.e 1, 4)
Total Number of ways = 1 x 1 x 2 x 4 x 2 = 16
Hence Total number of ways to select number from array is 16.
Follow the steps mentioned below to implement the idea
- Find the maximum number from the given array.
- Iterate from 1 to the maximum value and find the count of primes and non-primes till every value and store them in a vector of pairs.
- Iterate over the array:
- Check if the current index is prime or nonprime. if the current index is prime then select the non-prime value count from the vector of the pair.
- Multiply the answer with the non-prime count and store these values in the answer again.
- If the current index is non-prime then select prime value count from the vector of pair and multiply with the answer and store these values in answer again.
- Return the answer.
Below is the implementation of the above approach:
C++
#include <bits/stdc++.h>
using namespace std;
// Function to check whether the number
// is prime or not
bool isPrime(int a)
{
if (a == 1)
return false;
if (a == 2)
return true;
for (int i = 2; i <= sqrt(a); i++) {
if (a % i == 0)
return false;
}
return true;
}
// Function to count prime and non prime number
// and push count in vector
void count_prime_and_NonPrime(int n,
vector<pair<int, int> >& v)
{
int p = 0, np = 0;
v.push_back(make_pair(p, np));
for (int i = 1; i <= n; i++) {
if (isPrime(i))
p++;
else
np++;
v.push_back(make_pair(p, np));
}
}
// Function to find number of ways
int NoOfWays(int n, int a[])
{
vector<pair<int, int> > v;
int mx = 0;
for (int i = 0; i < n; i++) {
mx = max(mx, a[i]);
}
count_prime_and_NonPrime(mx, v);
int ans = 1;
for (int j = 0; j < n; j++) {
int prime = v[a[j]].first;
int nonPrime = v[a[j]].second;
if (isPrime(j + 1)) {
ans *= nonPrime;
}
else {
ans *= prime;
}
}
return ans;
}
// Driver code
int main()
{
int N = 5;
int A[] = { 2, 3, 4, 8, 5 };
// Function call
cout << NoOfWays(N, A) << endl;
return 0;
}
Java
// Java program for the above approach
import java.io.*;
import java.util.*;
class GFG {
static class pair {
int first, second;
public pair(int first, int second)
{
this.first = first;
this.second = second;
}
}
// Function to check whether the number is prime or not
static boolean isPrime(int a)
{
if (a == 1) {
return false;
}
if (a == 2) {
return true;
}
for (int i = 2; i <= Math.sqrt(a); i++) {
if (a % i == 0) {
return false;
}
}
return true;
}
// Function to count prime and non prime number and push
// count in arraylist.
static List<pair> count_prime_and_NonPrime(int n,
List<pair> v)
{
int p = 0, np = 0;
v.add(new pair(p, np));
for (int i = 1; i <= n; i++) {
if (isPrime(i)) {
p++;
}
else {
np++;
}
v.add(new pair(p, np));
}
return v;
}
// Function to find number of ways
static int NoOfWays(int n, int[] a)
{
List<pair> v = new ArrayList<pair>();
int mx = 0;
for (int i = 0; i < n; i++) {
mx = Math.max(mx, a[i]);
}
v = count_prime_and_NonPrime(mx, v);
int ans = 1;
for (int j = 0; j < n; j++) {
int prime = v.get(a[j]).first;
int nonPrime = v.get(a[j]).second;
if (isPrime(j + 1)) {
ans *= nonPrime;
}
else {
ans *= prime;
}
}
return ans;
}
public static void main(String[] args)
{
int N = 5;
int[] A = { 2, 3, 4, 8, 5 };
// Function call
System.out.println(NoOfWays(N, A));
}
}
// This code is contributed by lokeshmvs21.
Python3
# Function to check whether the number is prime or not
def isPrime(a):
if (a == 1):
return False
if (a == 2):
return True
for i in range(2, int(a**0.5)+1):
if (a % i == 0):
return False
return True
# Function to count prime and non prime number and push
# count in arraylist.
def count_prime_and_NonPrime(n, v):
p = 0
np = 0
v = []
v.append((p, np))
for i in range(1, n+1):
if (isPrime(i)):
p += 1
else:
np += 1
v.append((p, np))
return v
# Function to find number of ways
def NoOfWays(n, a):
v = []
mx = 0
for i in range(n):
mx = max(mx, a[i])
v = count_prime_and_NonPrime(mx, v)
ans = 1
for j in range(n):
prime = v[a[j]][0]
nonPrime = v[a[j]][1]
if (isPrime(j + 1)):
ans *= nonPrime
else:
ans *= prime
return ans
if __name__ == '__main__':
A = [2, 3, 4, 8, 5]
N = len(A)
# Function call
print(NoOfWays(N, A))
# This code is contributed by vikkycirus.
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
public class GFG{
class pair {
public int first, second;
public pair(int first, int second)
{
this.first = first;
this.second = second;
}
}
// Function to check whether the number is prime or not
static bool isPrime(int a)
{
if (a == 1) {
return false;
}
if (a == 2) {
return true;
}
for (int i = 2; i <= Math.Sqrt(a); i++) {
if (a % i == 0) {
return false;
}
}
return true;
}
// Function to count prime and non prime number and push
// count in arraylist.
static List<pair> count_prime_and_NonPrime(int n,
List<pair> v)
{
int p = 0, np = 0;
v.Add(new pair(p, np));
for (int i = 1; i <= n; i++) {
if (isPrime(i)) {
p++;
}
else {
np++;
}
v.Add(new pair(p, np));
}
return v;
}
// Function to find number of ways
static int NoOfWays(int n, int[] a)
{
List<pair> v = new List<pair>();
int mx = 0;
for (int i = 0; i < n; i++) {
mx = Math.Max(mx, a[i]);
}
v = count_prime_and_NonPrime(mx, v);
int ans = 1;
for (int j = 0; j < n; j++) {
int prime = v[a[j]].first;
int nonPrime = v[a[j]].second;
if (isPrime(j + 1)) {
ans *= nonPrime;
}
else {
ans *= prime;
}
}
return ans;
}
static public void Main ()
{
int N = 5;
int[] A = { 2, 3, 4, 8, 5 };
// Function call
Console.Write(NoOfWays(N, A));
}
}
// This code is contributed by hrithikgarg03188.
JavaScript
// Javascript program for the above approach
class pair {
constructor(first, second) {
this.first = first;
this.second = second;
}
}
// Function to check whether the number is prime or not
function isPrime(a) {
if (a == 1) {
return false;
}
if (a == 2) {
return true;
}
for (let i = 2; i <= Math.floor(Math.sqrt(a)); i++) {
if (a % i == 0) {
return false;
}
}
return true;
}
// Function to count prime and non prime number and push
// count in arraylist.
function count_prime_and_NonPrime(n, v) {
let p = 0, np = 0;
v.push(new pair(p, np));
for (let i = 1; i <= n; i++) {
if (isPrime(i)) {
p++;
}
else {
np++;
}
v.push(new pair(p, np));
}
return v;
}
// Function to find number of ways
function NoOfWays(n, a) {
let v = [];
let mx = 0;
for (let i = 0; i < n; i++) {
mx = Math.max(mx, a[i]);
}
v = count_prime_and_NonPrime(mx, v);
let ans = 1;
for (let j = 0; j < n; j++) {
let prime = v[a[j]].first;
let nonPrime = v[a[j]].second;
if (isPrime(j + 1)) {
ans *= nonPrime;
}
else {
ans *= prime;
}
}
return ans;
}
let N = 5;
let A = [2, 3, 4, 8, 5];
// Function call
console.log(NoOfWays(N, A));
// This code is contributed by Saurabh.
Time Complexity: O(N * sqrt(M)) where M is the largest element of array
Auxiliary Space: O(N)
Similar Reads
Basics & Prerequisites
Data Structures
Array Data StructureIn this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous
3 min read
String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut
2 min read
Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The
2 min read
Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Hereâs the comparison of Linked List vs Arrays Linked List:
2 min read
Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first
2 min read
Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems
2 min read
Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most
4 min read
Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of
3 min read
Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this
15+ min read
Algorithms
Searching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input
2 min read
Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read
Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution
14 min read
Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get
3 min read
Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net
3 min read
Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of
3 min read
Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit
4 min read
Advanced
Segment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree
3 min read
Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i
2 min read
GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br
2 min read
Interview Preparation
Practice Problem