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Quick Summary
Model points as graph nodes where edges connect points sharing a row or column
Use hash maps to index points by row and column for efficient neighbor discovery
Apply BFS to determine connectivity and compute shortest path distances
What This Tests
Graph modeling from geometric constraints
Efficient neighbor lookup using hash-based data structures
Breadth-First Search for shortest paths and reachability
Handling dynamic graph updates in unbounded spaces
Common Patterns
Graph Traversal
BFS
Hashing
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