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Artisan Display Sort

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Imagine you’re organizing a bustling artisan market and need to arrange hundreds of booths in perfect numerical order. That’s the mission of Artisan Display Sort! You’re given a raw ledger of booth numbers, and your task is to transform that jumbled mess into a strictly ascending sequence. This makes logistical planning and crowd flow a total breeze.

The "secret sauce" here is understanding how sorting handles duplicates and edge cases. In a real market, you might have shared collectives (duplicate booth numbers) or blocked aisles (negative placeholders). Your solution needs to keep all those numbers intact while arranging them from smallest to largest. Whether you use a built-in sort function or a custom algorithm, the goal is a consistent and predictable data structure for open-market operations.

This challenge is a great way to master basic data organization. It turns a simple "Sort an Array" exercise into a practical scenario where order and statistical integrity are key to success!

Examples

Example 1
Input
nums = [3]
Output
[3]
Explanation

A single booth remains unchanged because the ledger was already in order.

Example 2
Input
nums = [14,5,12,5]
Output
[5,5,12,14]
Explanation

Shared booths keep both entries while the list rises from smallest to largest.

Example 3
Input
nums = [9,-2,4,9]
Output
[-2,4,9,9]
Explanation

Negative placeholders and repeats stay visible in ascending order.

Algorithm Flow

Recommendation Algorithm Flow for Artisan Display Sort - Budibadu
Recommendation Algorithm Flow for Artisan Display Sort - Budibadu

Best Answers

java
import java.util.*;

class Solution {
    public int[] artisan_display_sort(int[] nums) {
        int[] sortedArr = nums.clone();
        Arrays.sort(sortedArr);
        return sortedArr;
    }
}