Given an array **arr[]**, representing the ages of **N** persons in a hospital and there is only one doctor who can give an immune dose to at most **P** persons per day, the task is to find the minimum count of days required to give the cure such that a **high risk person** and a normal person does not get a dose on the same day. **Note:** Any person with age **≤ 10** or **≥ 60** is contemplated as a **high risk person**.

**Examples:**

Input:arr[] = {9, 80, 27, 72, 79}, P = 2Output:3Explanation:

There are 4 high risk persons. Therefore, on days 1 and 2, 2 high risk persons can be immuned. On the last day, the normal person can be immuned. Therefore, 3 days are required.

**Approach: **Follow the steps below to solve the problem:

- Initialize a variable, say
**risk**, to store the count of persons whose age is less than or equal to**10**and greater than or equal to**60**. - Initialize a variable, say
**normal_risk**, to store the count of persons whose age is in the range**[11, 59]** - Traverse the array and check if the age is less than or equal to
**10**or greater than or equal to**60**or not. If found to be true, then increment the value of**risk**. - Otherwise, increment the value of
**normal_risk**. - Finally, print the value of
**ceil(risk / P) + ceil(normal_risk / P)**

Below is the implementation of the above approach:

## C++

`// C++ Program for the above approach` `#include <bits/stdc++.h>` `using` `namespace` `std;` `// Function to find minimum count of days required` `// to give a cure such that the high risk person` `// and risk person does not get a dose on same day.` `void` `daysToCure(` `int` `arr[], ` `int` `N, ` `int` `P)` `{` ` ` `// Stores count of persons whose age is` ` ` `// less than or equal to 10 and` ` ` `// greater than or equal to 60.` ` ` `int` `risk = 0;` ` ` `// Stores the count of persons` ` ` `// whose age is in the range [11, 59]` ` ` `int` `normal_risk = 0;` ` ` `// Traverse the array arr[]` ` ` `for` `(` `int` `i = 0; i < N; i++) {` ` ` `// If age less than or equal to 10` ` ` `// or greater than or equal to 60` ` ` `if` `(arr[i] >= 60 || arr[i] <= 10) {` ` ` `// Update risk` ` ` `risk++;` ` ` `}` ` ` `else` `{` ` ` `// Update normal_risk` ` ` `normal_risk++;` ` ` `}` ` ` `}` ` ` `// Calculate days to cure risk` ` ` `// and normal_risk persons` ` ` `int` `days = (risk / P) + (risk % P > 0)` ` ` `+ (normal_risk / P)` ` ` `+ (normal_risk % P > 0);` ` ` `// Print the days` ` ` `cout << days;` `}` `// Driver Code` `int` `main()` `{` ` ` `// Given array` ` ` `int` `arr[] = { 9, 80, 27, 72, 79 };` ` ` `// Size of the array` ` ` `int` `N = ` `sizeof` `(arr) / ` `sizeof` `(arr[0]);` ` ` `// Given P` ` ` `int` `P = 2;` ` ` `daysToCure(arr, N, P);` ` ` `return` `0;` `}` |

## Java

`// Java Program for the above approach` `class` `GFG` `{` ` ` `// Function to find minimum count of days required` ` ` `// to give a cure such that the high risk person` ` ` `// and risk person does not get a dose on same day.` ` ` `static` `void` `daysToCure(` `int` `arr[], ` `int` `N, ` `int` `P)` ` ` `{` ` ` ` ` `// Stores count of persons whose age is` ` ` `// less than or equal to 10 and` ` ` `// greater than or equal to 60.` ` ` `int` `risk = ` `0` `;` ` ` ` ` `// Stores the count of persons` ` ` `// whose age is in the range [11, 59]` ` ` `int` `normal_risk = ` `0` `;` ` ` ` ` `// Traverse the array arr[]` ` ` `for` `(` `int` `i = ` `0` `; i < N; i++)` ` ` `{` ` ` ` ` `// If age less than or equal to 10` ` ` `// or greater than or equal to 60` ` ` `if` `(arr[i] >= ` `60` `|| arr[i] <= ` `10` `)` ` ` `{` ` ` ` ` `// Update risk` ` ` `risk++;` ` ` `}` ` ` `else` ` ` `{` ` ` ` ` `// Update normal_risk` ` ` `normal_risk++;` ` ` `}` ` ` `}` ` ` ` ` `// Calculate days to cure risk` ` ` `// and normal_risk persons` ` ` `int` `days = (risk / P) + (normal_risk / P);` ` ` ` ` `if` `(risk % P > ` `0` `)` ` ` `{` ` ` `days++;` ` ` `}` ` ` ` ` `if` `(normal_risk % P > ` `0` `)` ` ` `{` ` ` `days++;` ` ` `}` ` ` ` ` `// Print the days` ` ` `System.out.print(days);` ` ` `} ` ` ` `public` `static` `void` `main(String[] args) {` ` ` `// Given array` ` ` `int` `arr[] = { ` `9` `, ` `80` `, ` `27` `, ` `72` `, ` `79` `};` ` ` ` ` `// Size of the array` ` ` `int` `N = arr.length;` ` ` ` ` `// Given P` ` ` `int` `P = ` `2` `; ` ` ` `daysToCure(arr, N, P);` ` ` `}` `}` `// This code is contributed by divyeshrabadiya07` |

## Python3

`# Python3 Program for the above approach` `# Function to find minimum count of days required` `# to give a cure such that the high risk person` `# and risk person does not get a dose on same day.` `def` `daysToCure(arr, N, P):` ` ` `# Stores count of persons whose age is` ` ` `# less than or equal to 10 and` ` ` `# greater than or equal to 60.` ` ` `risk ` `=` `0` ` ` `# Stores the count of persons` ` ` `# whose age is in the range [11, 59]` ` ` `normal_risk ` `=` `0` ` ` `# Traverse the array arr[]` ` ` `for` `i ` `in` `range` `(N):` ` ` `# If age less than or equal to 10` ` ` `# or greater than or equal to 60` ` ` `if` `(arr[i] >` `=` `60` `or` `arr[i] <` `=` `10` `):` ` ` `# Update risk` ` ` `risk ` `+` `=` `1` ` ` `else` `:` ` ` `# Update normal_risk` ` ` `normal_risk ` `+` `=` `1` ` ` `# Calculate days to cure risk` ` ` `# and normal_risk persons` ` ` `days ` `=` `(risk ` `/` `/` `P) ` `+` `(risk ` `%` `P > ` `0` `) ` `+` `(normal_risk ` `/` `/` `P) ` `+` `(normal_risk ` `%` `P > ` `0` `)` ` ` `# Prthe days` ` ` `print` `(days)` `# Driver Code` `if` `__name__ ` `=` `=` `'__main__'` `:` ` ` ` ` `# Given array` ` ` `arr ` `=` `[` `9` `, ` `80` `, ` `27` `, ` `72` `, ` `79` `]` ` ` `# Size of the array` ` ` `N ` `=` `len` `(arr)` ` ` `# Given P` ` ` `P ` `=` `2` ` ` `daysToCure(arr, N, P)` ` ` `# This code is contributed by mohit kumar 29.` |

## C#

`// C# Program for the above approach` `using` `System;` `class` `GFG` `{` ` ` `// Function to find minimum count of days required` ` ` `// to give a cure such that the high risk person` ` ` `// and risk person does not get a dose on same day.` ` ` `static` `void` `daysToCure(` `int` `[] arr, ` `int` `N, ` `int` `P)` ` ` `{` ` ` `// Stores count of persons whose age is` ` ` `// less than or equal to 10 and` ` ` `// greater than or equal to 60.` ` ` `int` `risk = 0;` ` ` `// Stores the count of persons` ` ` `// whose age is in the range [11, 59]` ` ` `int` `normal_risk = 0;` ` ` `// Traverse the array arr[]` ` ` `for` `(` `int` `i = 0; i < N; i++)` ` ` `{` ` ` `// If age less than or equal to 10` ` ` `// or greater than or equal to 60` ` ` `if` `(arr[i] >= 60 || arr[i] <= 10)` ` ` `{` ` ` `// Update risk` ` ` `risk++;` ` ` `}` ` ` `else` ` ` `{` ` ` `// Update normal_risk` ` ` `normal_risk++;` ` ` `}` ` ` `}` ` ` `// Calculate days to cure risk` ` ` `// and normal_risk persons` ` ` `int` `days = (risk / P) + (normal_risk / P);` ` ` `if` `(risk % P > 0)` ` ` `{` ` ` `days++;` ` ` `}` ` ` `if` `(normal_risk % P > 0)` ` ` `{` ` ` `days++;` ` ` `}` ` ` `// Print the days` ` ` `Console.Write(days);` ` ` `}` ` ` `// Driver code` ` ` `static` `void` `Main()` ` ` `{` ` ` `// Given array` ` ` `int` `[] arr = { 9, 80, 27, 72, 79 };` ` ` `// Size of the array` ` ` `int` `N = arr.Length;` ` ` `// Given P` ` ` `int` `P = 2; ` ` ` `daysToCure(arr, N, P);` ` ` `}` `}` `// This code is contributed by divyesh072019.` |

## Javascript

`<script>` `// javascript Program for the above approach` ` ` `// Function to find minimum count of days required` ` ` `// to give a cure such that the high risk person` ` ` `// and risk person does not get a dose on same day.` ` ` `function` `daysToCure(arr , N , P) {` ` ` `// Stores count of persons whose age is` ` ` `// less than or equal to 10 and` ` ` `// greater than or equal to 60.` ` ` `var` `risk = 0;` ` ` `// Stores the count of persons` ` ` `// whose age is in the range [11, 59]` ` ` `var` `normal_risk = 0;` ` ` `// Traverse the array arr` ` ` `for` `(i = 0; i < N; i++) {` ` ` `// If age less than or equal to 10` ` ` `// or greater than or equal to 60` ` ` `if` `(arr[i] >= 60 || arr[i] <= 10) {` ` ` `// Update risk` ` ` `risk++;` ` ` `} ` `else` `{` ` ` `// Update normal_risk` ` ` `normal_risk++;` ` ` `}` ` ` `}` ` ` `// Calculate days to cure risk` ` ` `// and normal_risk persons` ` ` `var` `days = parseInt((risk / P) + (normal_risk / P));` ` ` `if` `(risk % P > 0) {` ` ` `days++;` ` ` `}` ` ` `if` `(normal_risk % P > 0) {` ` ` `days++;` ` ` `}` ` ` `// Print the days` ` ` `document.write(days);` ` ` `}` ` ` ` ` `// Given array` ` ` `var` `arr = [ 9, 80, 27, 72, 79 ];` ` ` `// Size of the array` ` ` `var` `N = arr.length;` ` ` `// Given P` ` ` `var` `P = 2;` ` ` `daysToCure(arr, N, P);` `// This code contributed by Rajput-Ji` `</script>` |

**Output**

3

**Time Complexity:** O(N)**Auxiliary Space:** O(1)

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