Coverage:
- test_model: SimpleNet forward (parametrized over batch sizes and both
unsqueezed and flat input shapes), layer dimensions, differentiability,
and ONNX round-trip
- test_inference: load_model resolution order (bundled, cwd override,
explicit path, missing path), and predict shape/dtype/determinism plus
endpoint sanity across 8 cardinal/diagonal targets
- test_train: _load_csv parsing, TrajectoryDataset indexing, full train()
pipeline producing a single-file ONNX, plus a smoke test against the
real data shipped under data/
- test_cli: --help for the three console scripts and a real run of
mouse-visualize via both the entry point and python -m
Wire up pytest via dependency-groups and tool.pytest.ini_options.
