add task solution

[anari-a]

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[mateacademy-ai-mentor]

Review Summary

I am requesting changes because a core requirement of the task is not yet met: Array.prototype.sort is not actually wired to use your custom sort2 implementation, so arr.sort() still calls the native engine sort. The task explicitly requires that the standard sort method be implemented via the predefined sort2, which means that after defining sort2 (e.g. in src/arrayMethodSort.js, around the lines where you attach sort2 to [].__proto__), you must assign something like:

Array.prototype.sort = Array.prototype.sort2;

or delegate sort to sort2 inside applyCustomSort. This missing linkage is a functional blocker, because tests or consumers that call arr.sort() will not see your custom behavior at all. On the positive side, your insertion-sort logic inside sort2 looks correct, handles default comparators, and returns this, which matches the native API shape. Once you connect Array.prototype.sort to sort2 and ensure that this happens when the module is used (e.g. inside applyCustomSort or at module load, depending on the task instructions), the solution should satisfy the main requirements. As a minor, non-blocking suggestion, you could consider using Object.getPrototypeOf([]) instead of __proto__ for style, but fixing the sort linkage is the only change strictly needed to pass.

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[mateacademy-ai-mentor]

The task requires Array.prototype.sort to be implemented via the predefined sort2. You define sort2 but never assign it to Array.prototype.sort. After the sort2 definition add an assignment such as Array.prototype.sort = Array.prototype.sort2; so normal arr.sort() calls use your implementation.

[mateacademy-ai-mentor]

The loop implements an insertion-sort-style algorithm (acceptable for this exercise). Note: for large arrays this is O(n²); consider mentioning or using a more efficient algorithm only if performance is a concern (not required for this task).

[mateacademy-ai-mentor]

Review Summary

Your solution is approved because it correctly implements a custom Array.prototype.sort using [].__proto__.sort2 and then assigns Array.prototype.sort = Array.prototype.sort2, which matches the task requirements. The insertion-style algorithm you wrote correctly handles the optional compare function, shifts elements as needed, and returns this, so the core behavior of sort is satisfied. There are no critical or blocking issues with functionality or compliance with the checklist items.

For potential improvements (not required for this task), you might add a short comment above applyCustomSort explaining that it patches Array.prototype.sort globally so future readers understand the side effects. You could also consider adding tests for edge cases like sparse arrays or arrays with holes to better document and verify behavior compared to the native sort. Finally, be aware that your insertion-sort approach is O(n²); this is fine here, but for very large arrays a more efficient algorithm (like quicksort or mergesort) would scale better. Overall, solid work implementing the custom sort and wiring it into the prototype correctly.

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