Submission: rail_knn_4tasks (RAIL KNN, all 4 task sets, draft)#30
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Follows PR LSSTDESC#28 structure with KNN from PR LSSTDESC#8 and NaN redshift cleaning for task sets 3/4. Precomputed tarball on fork release pzdc-rail-knn-4tasks-v1. Co-authored-by: Cursor <cursoragent@cursor.com>
Leave global conftest unchanged from upstream main; avoid public_test.tgz which times out from GitHub Actions runners. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
rail_knn_4taskscovering task sets 1–4 with RAILKNearNeighInformer/KNearNeighEstimator.catalog_utils.apply("cardinal_roman_rubin")for LSST + Roman bands.public_test.tgzuntil data moves topublic.tgz.Test plan
pytest tests/test_rail_knn_4tasks.pypasses locally (all 4 task sets, ~10 min)submit_rail_knn_4tasksgreenMade with Cursor