I fed this straight to an AI and just read through what came back.
Clarify the problem constraints (grid size, bomb radius, multiple bombs, obstacles) and then propose a solution that simulates the bomb's effect by iterating over affected cells. Optimize by considering time and space complexity, and discuss trade-offs between different approaches.
Pro tip: Demonstrate awareness of edge cases (e.g., bombs at borders, overlapping bombs) and discuss how to handle them efficiently. Mention that in a real system, you might use a difference array or 2D prefix sums to optimize multiple bomb detonations.
Ask questions to understand the grid dimensions, bomb radius, whether there are obstacles, and if multiple bombs are detonated simultaneously or sequentially.
Explain how to mark cells destroyed by a bomb: for a given center (r, c) and radius k, destroy all cells (r±i, c) and (r, c±i) for i from 0 to k, within grid bounds.
Use a 2D boolean array or a set to track destroyed cells. For multiple bombs, consider using a difference array for O(1) range updates per row/column.
Discuss time complexity: naive simulation is O(B * k) where B is number of bombs; optimized with difference arrays can be O(R*C + B). Space complexity is O(R*C).
Address bombs near edges, overlapping destruction, and ensure no out-of-bounds access. Test with small grids and multiple bombs.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.