A GitHub Java solution to the Slot Machine 2.0 Hackerrank problem

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HackerRank is a well-liked option among programmers for mastering the craft of problem-solving through coding challenges. The “Slot Machine 2.0” problem is one of the intriguing problems that has developers’ attention across the globe. This post will examine the Slot Machine 2.0 Hackerrank solution, look at how it was implemented in Java, and point you in the direction of a GitHub repository that will help you better understand the solution.

A Brief Overview of the Slot Machine 2.0 Hackerrank Solution

Hackerrank’s Slot Machine 2.0 task is an intriguing test of a programmer’s proficiency with array manipulation. The task entails a slot machine with three slots, each of which has an collection of integers. The objective is to undertake a series of procedures to equalize these three arrays. With each operation, you can pick a slot and add or subtract one from all the values in that slot.

You must determine the fewest number of operations necessary to make all three arrays equal in order to efficiently solve this challenge. The difficult part is coming up with an algorithm that best minimizes the number of operations while taking into account the particulars of the task.

Hackerrank Solution for Slot Machine 2.0: Java Implementation

Java’s Slot Machine 2.0 problem needs to be solved with a well-thought-out strategy and effective code. You can discover a Java solution to this issue in the section below.


bring in java.util. *;

class SlotMachine2 public {

(String[] args) public static void main

new Scanner( = scanner scanner;

scanner is an int.nextInt();

new int[n] = int[] a;

new int[n] = int[] b;

new int[n] = int[] c;

i++ for (int i = 0; i n);

Input: a[i] = scanner.nextInt();


i++ for (int i = 0; i n);

i = b[scanner.nextInt()];


i++ for (int i = 0; i n);

where c[i] = scanner.nextInt();


totalOperations as a long is 0;

i++ for (int i = 0; i n);

Math.min(a[i], Math.min(b[i), Math.min(c[i]));

minVal + totalOperations;

a[i] = minVal

minVal -= b[i];

minVal -= c[i];

long maximumMath.max(a[i], Math.max(b[i), Math.max(c[i]));

maxVal / 2 + totalOperations

maxVal -= a[i] / 2;

maxVal -= b[i] / 2;

maxVal -= c[i] / 2;

In the event when (a[i] > 0 || b[i] > 0 || c[i] > 0)








In this Java solution, we reduce the amount of operations by using a greedy strategy. Effectively computing the minimum and maximum values is the code. for each slot, modifying the arrays as necessary. The final output is the total number of operations needed to equalize the three arrays.

Examining the GitHub page for Slot Machine 2.0 Hackerrank Solution

GitHub is the place to go if you want to learn more about Slot Machine 2.0 Hackerrank and its practical applications. Java and other programming language solutions to this issue are available in numerous sources.

The techniques below will help you locate a Slot Machine 2.0 Hackerrank solution on GitHub.

Visit to access the GitHub website.

Type “Slot Machine 2.0 Hackerrank solution Java” into the search box and press Enter.

Check the search results to see if any repositories provide Java solutions for the issue.

For programmers looking for complete solutions, GitHub is a treasure trove. and code explanations for numerous coding tasks, such as Slot Machine 2.0 from Hackerrank.


The Slot Machine 2.0 task on Hackerrank is a fantastic challenge that tests your aptitude for array manipulation in the world of coding problems and problem-solving. You can learn how to approach and resolve such difficulties successfully with the help of an excellent Java solution, such as the one offered in this article.

Programmers eager to study real-world solutions and go deeper into the complexities of the Slot Machine 2.0 Hackerrank challenge will also find a plethora of information in the GitHub repositories. You can improve your ability to solve problems and develop as a programmer by using the offered Java code and researching GitHub sources.

Coding puzzles like Slot Machine 2.0 are not just mentally stimulating. but also helpful in your path to mastering programming. So get into the code, work on your problem-solving techniques, and keep expanding your coding knowledge.