| Category | Count | Details |
|---|---|---|
Source modules |
7 |
Rust (main, metadata), Julia (contrastive_model, julia_utils), 3 Idris2 ABI |
Unit tests |
5 |
test/runtests.jl (5 @test) |
Integration tests |
0 |
None |
E2E tests |
0 |
None |
Benchmarks |
0 |
None |
Fuzz tests |
1 |
fuzz/fuzz_targets/fuzz_input.rs |
-
❏ No tests for Rust <→ Julia interop
-
❏ No tests for contrastive model feeding into metadata processing
-
❏ No test running zerostep binary end-to-end
-
❏ No test for the contrastive learning pipeline
-
❏ Security: No input validation tests
-
❏ Performance: ML contrastive model with 0 benchmarks
-
❏ Concurrency: No tests for parallel model execution
-
❏ Error handling: No tests for malformed input data, model failures
-
❏ No Rust compilation test
-
❏ No Idris2 ABI compilation test
-
❏ Nickel config (config.ncl) untested
-
❏ Contrastive model training time
-
❏ Inference latency
-
❏ Metadata processing throughput
-
5 @test for 7 source modules = barely tested
-
ML project with 0 benchmarks – performance is the entire point
-
Fuzz target exists (fuzz_input.rs) – rare positive
-
Julia model code with no Julia-specific tests for the model itself