Testing¶
Real data only¶
Correctness tests use real sample EEG and the reference Fortran binary shipped in
pyAMICA/sample_data/. Mocks, stubs, and synthetic data are not used as the
basis for correctness tests: no test is better than a fake passing test.
Running the suite¶
uv run pytest # full suite
uv run pytest --cov # with coverage
uv run pytest pyAMICA/tests/torch_tests/ # PyTorch-vs-Fortran parity tests
Layout¶
pyAMICA/tests/— end-to-end and interface tests.pyAMICA/tests/torch_tests/— natural-gradient backend parity, PDF families, component sharing, float32 stability, and edge cases.pyAMICA/tests/mlx_tests/— MLX backend tests (Apple Silicon).validate_implementations.py— cross-implementation validation harness (Hungarian component matching against Fortran).