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<LumusMaximaAI>
Benchmark Suite
Verify generated code against exact reference results.
Python
OVERVIEW
A standalone deterministic Python benchmark suite for verifying reproducible execution. Instead of trusting a result because it looks correct, the expected behavior is encoded directly in executable code and tested every time. It includes fixed 2×2 and 4×4 matrix checks, a 1,000-iteration algebraic workload, configuration loading, timing, unit tests, syntax checks and a full smoke test. It is generated through a readable Bash builder script, uses only the Python standard library, and needs no APIs, external services or network access.
MIT
KEY POINTS
- Fixed 2×2 and 4×4 matrix checks;
- 1,000-iteration algebraic workload;
- Timing, unit, syntax and smoke tests;
- Readable Bash builder, standard library only.
USE CASES
Deterministic verification of generated or AI-produced code.
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