Modal: Native <dialog> Confirm (Accessible Naming)

What you’ll build / What this tests

This premium html coding focuses on Modal: Native Confirm (Accessible Naming). You’ll apply accessibility and aria-describedby thinking with hard level constraints. The prompt emphasizes Build a native confirm dialog for deleting a project using the HTML &lt;dialog&gt; element. The dialog….

Learning goals

• Translate the prompt into a clear html API signature and return shape.
• Apply accessibility, aria-describedby, aria-labelledby techniques to implement modal: native confirm (accessible naming).
• Handle hard edge cases without sacrificing readability.
• Reason about time/space complexity and trade-offs in html.

Key decisions to discuss

• Define the exact input/output contract before coding.
• Prioritize predictable edge-case handling over micro-optimizations.

Evaluation rubric

• Correctness: covers required behaviors and edge cases.
• Clarity: readable structure and predictable control flow.
• Complexity: avoids unnecessary work for large inputs.
• API discipline: no mutation of inputs; returns expected shape.
• Testability: solution is easy to unit test.

Constraints / Requirements

• Handle empty or missing inputs without throwing errors.
• Keep runtime close to linear time where possible.
• Prefer a pure function: no side effects beyond the return value.
• Be explicit about edge cases and error states.
• Prioritize clarity over cleverness in explanations.
• Explain the trade-offs behind your choices.

Mini snippet (usage only)

// Example usage
const <dialog open> = /* modal: native <dialog> confirm (accessible naming) input */;
const aria-labelledby = /* config */;
const result = solve(<dialog open>, aria-labelledby);
console.log(result);

// Edge case check
const empty = <dialog open> && aria-labelledby ?? null;
const fallback = solve(<dialog open>, aria-labelledby);
console.log(fallback);

// Expected: describe output shape, not the implementation
// (no solution code in preview)

Common pitfalls

• Mutating inputs instead of returning a new value.
• Skipping edge cases like empty input, duplicates, or nulls.
• Overlooking time complexity for large inputs.

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