Part 1 was basically a hashmap, took maybe five minutes.
Start by clarifying requirements and constraints, then design a simple cell storage model using a map from labels to values. Implement incrementally: first plain integers, then formulas with dependency tracking, and finally cycle detection using DFS. Discuss trade-offs and test edge cases.
Pro tip: Demonstrate incremental development by writing tests for each stage and explaining how your design evolves. This shows you can build robust systems and communicate technical decisions clearly.
Ask about expected operations, formula syntax, error handling, and performance needs. Confirm that cells can contain integers or formulas, and that cycles must be detected.
Use a hash map to store cell values, where each cell can be an integer or a formula object. For formulas, maintain a dependency graph to track references.
Write set_cell and get_cell for plain integers. Then extend to parse formulas like '=A1+B2', evaluate them recursively, and update dependencies.
During formula evaluation, track visited cells. If a cell is revisited, raise a circular reference error. Use DFS with a recursion stack or visited set.
Test with edge cases: self-references, indirect cycles, large chains. Discuss caching evaluated results and handling updates to dependencies.
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