← BlackRock Interview Insights
The fill part was fine, BFS/DFS flood fill is pretty standard.
Start by clarifying requirements and constraints, then outline a clean class design with separate concerns for canvas state, operations, and history management. Discuss algorithms for drawing, erasing, and flood fill, and explain how to implement undo/redo using command pattern or state snapshots, weighing trade-offs.
Pro tip: Demonstrate awareness of memory vs. performance trade-offs: for example, using command pattern with inverse operations saves memory but complicates erasing, while snapshotting is simpler but costly for large canvases. Propose a hybrid or adaptive approach based on expected usage.
Ask about canvas size, pixel representation, expected operation frequency, memory limits, and whether undo/redo should be unlimited. This shows you think about real-world constraints before coding.
Define the Canvas class with a 2D array (or 1D array for efficiency) to store pixel colors. Consider using a sparse representation if the canvas is large and mostly empty.
For drawing/erasing, update pixels in a line or shape. For flood fill, use BFS/DFS to change connected pixels of the same color, being mindful of recursion depth and using an iterative approach.
Choose between command pattern (store operations and their inverses) or snapshotting (store canvas states). Discuss trade-offs: command pattern is memory-efficient but complex for flood fill; snapshots are simple but memory-heavy.
Propose optimizations like compression of snapshots, batching operations, or using a limited history buffer. Explain how you would test and scale the solution.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.