Swift Coding Test Course, Game Development

Game development is not only an interesting field but also requires complex algorithms and problem-solving skills.
In this article, we will look at a coding test problem using the Swift language and detail the process of solving it.
This course will be particularly helpful for programmers interested in game development.
When a problem is presented, we will analyze the process of solving it step by step.

Problem Description

Our goal is to develop a level of the game in which N monsters appear.
Each monster has its own health points (Hit Points, HP) and damage attributes,
and the player can attack the monsters with a specific attack power.
In this problem, the player must find the optimal attack strategy to defeat all the monsters.

Problem: Numerical Optimization

Based on the HP and damage of the given monsters,
calculate the minimum number of attacks required for the player to defeat the monsters.
The player has a fixed attack power for each attack, and
the monsters decrease their HP each time they are attacked.
The monsters continuously receive attacks until their HP reaches 0 or below.

Input Format

  • The first line contains the number of monsters N (1 ≤ N ≤ 1000).
  • The second line contains the HP of N monsters separated by spaces. (1 ≤ HP ≤ 10000)
  • The third line contains the damage of N monsters separated by spaces. (1 ≤ Damage ≤ 100)
  • The last line contains the player’s attack power A (1 ≤ A ≤ 10000).

Output Format

Print the minimum number of attacks.

Problem Approach

To solve this problem, the following approach can be used:

  1. For each monster, knowing the HP and the player’s attack power,
    we need to calculate the number of attacks required to defeat the monster.
  2. Calculate the number of attacks needed to defeat each monster by dividing the monster’s HP by the player’s attack power.
  3. By summing up the required attack counts for each monster,
    we can derive the final result, the minimum number of attacks.

Code Implementation

Now let’s write the Swift code:


    import Foundation

    func minimumAttacksToDefeatMonsters(hpList: [Int], damageList: [Int], attackPower: Int) -> Int {
        var totalAttacks = 0

        for hp in hpList {
            // Calculate the number of attacks required for each monster
            let requiredAttacks = (hp + attackPower - 1) / attackPower
            totalAttacks += requiredAttacks
        }
        
        return totalAttacks
    }

    // Example input
    let n = 3
    let hpList = [100, 200, 300]
    let damageList = [50, 70, 90] // Not used but provided as a condition of the problem
    let attackPower = 75

    let result = minimumAttacksToDefeatMonsters(hpList: hpList, damageList: damageList, attackPower: attackPower)
    print("Minimum number of attacks: \(result)")

Code Explanation

In the above code, we calculated the minimum number of attacks required to defeat the monsters based on the player’s attack power and the monsters’ HP.
The minimumAttacksToDefeatMonsters function iterates over the given HP list and calculates the required number of attacks for each monster.

First, we compute the value of the monster’s HP divided by the player’s attack power.
If the monster’s HP does not divide evenly by the player’s attack power,
then we need to round up the number of attacks required to defeat the monster.
In this case, we use (hp + attackPower - 1) / attackPower to
calculate the required number of attacks. Finally, we sum up the
calculated attack counts for all monsters and return the final result.

Performance Analysis

The time complexity of this algorithm is O(N). This is because we simply calculate the number of attacks required for each monster.
Since the maximum N is 1000, this algorithm is very efficient in terms of performance.

Conclusion

In this tutorial, we covered a coding test problem related to game development using Swift.
By designing an algorithm to systematically defeat monsters,
we learned methods for solving algorithmic problems in game development.
We encourage you to use this knowledge to develop strategies applicable to various games.