test(rf3): clear easy-tier mypy modules and add first unit tests#301
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lyskov-ai wants to merge 3 commits into
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test(rf3): clear easy-tier mypy modules and add first unit tests#301lyskov-ai wants to merge 3 commits into
lyskov-ai wants to merge 3 commits into
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Fixture-backed CPU unit tests for the pure symmetry geometry in rfd3.inference.symmetry: cyclic/dihedral frame generation, the framecoord <-> (R, t) round-trip, pack/unpack, Kabsch _align/_rms recovery, symmetry-id parsing, and contig-string expansion. New tests/rfd3/ dir, auto-collected by testpaths and kept separate from the cluster-only models/rfd3/tests/. No source or config changes. Co-authored-by: lyskov-ai <277346777+lyskov-ai@users.noreply.github.com>
Add models/rf3/src/rf3 to [tool.mypy].files and seed a fresh per-module ignore_errors ratchet listing the 26 rf3 modules with pre-existing errors (158 total), mirroring the rfd3 bootstrap. mypy now type-checks the 28 already-clean rf3 modules; the 26 are cleared slice-by-slice in follow-ups. Co-authored-by: lyskov-ai <277346777+lyskov-ai@users.noreply.github.com>
mypy: fix the 3 one-error rf3 modules (extra_xforms setattr, metrics_logging set[str], predict_and_score assert-narrow on run()'s dict|None return) and drop them from the ignore_errors ratchet (26 -> 23). Annotation/type-honesty only, no behavior change. tests: add tests/rf3/ first pass — 15 fixture-backed CPU unit tests pinning utils/frames.py (rigid_from_3_points proper-rotation/origin/batch /NA-branch, is_atom) and metrics/metric_utils.py (bin midpoints, unbin expectation, chain/interface masks, subsampled mean/min). Co-authored-by: lyskov-ai <277346777+lyskov-ai@users.noreply.github.com>
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Two rf3 changes:
data/extra_xforms.py,callbacks/metrics_logging.py,utils/predict_and_score.py) and remove them from the per-module ignore list, so they are now type-checked. Annotation / type-honesty only — no behavior change.tests/rf3/directory — 15 tests pinningutils/frames.py(rigid_from_3_points,is_atom) andmetrics/metric_utils.py(bin midpoints, logit unbinning, chain/interface masks, subsampled mean/min). Small inline fixtures — no data files, GPU, or checkpoints.