Stabilize constant-time min stack noisy edge lab
Medium Data Structures arena: stack augmentation and invariant tracking
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Missing prerequisites: data-structures-easy-min-stack-edge-lab
The initial constant-time min stack solution worked on clean data, but production-like noise now exposes weak assumptions. You are working inside an interview-style data structure lab, and the arena only clears when the result is safe, deterministic, and explainable.
Learn to apply stack augmentation and invariant tracking in an interview-style data structure lab while explaining the invariant, safety constraints, and hidden edge cases.
- Demonstrates stack augmentation and invariant tracking
- Handles the visible sample and hidden edge cases
- Keeps output deterministic and explainable
- Avoids unsafe dynamic execution
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