feat: rectangular mesh split follow-up — RTU/Bilinear prior configs + docs - #579
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… docs Downstream of PyAutoArray#462 (rectangular Bilinear/RTU mesh split, task PyAutoArray#461): - Packaged prior defaults: config/priors/mesh/rectangular_adapt_*.yaml -> rectangular_rtu_adapt_*.yaml plus new rectangular_bilinear_adapt_*.yaml (same priors — the Bilinear meshes have no kernel hyperparameters). - docs/api/pixelization.rst lists all four adaptive rectangular classes. - exc.py docstring updated to the RTU name. - test config pixelizations.json keys: the stale "rectangular.<Class>" module-prefixed keys never resolved (autonerves matches on the real module path via endswith); rekeyed to rectangular_bilinear_adapt_density.RectangularBilinearAdaptDensity and rectangular_rtu_adapt_density.RectangularRTUAdaptDensity. Full test suite: 1102 passed against merged PyAutoArray main. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WtMqU3JfmyJh8GvB7jT4Et
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This was referenced Aug 21, 2026
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Summary
Downstream follow-up to the PyAutoArray rectangular mesh split (PyAutoLabs/PyAutoArray#462, merged; task PyAutoLabs/PyAutoArray#461). PyAutoGalaxy ships packaged prior-config defaults keyed by the renamed classes, so without this the new class names have no library-side default priors.
API Changes
None — internal changes only (packaged config defaults, docs, docstrings; no Python API change).
Test Plan
rectangular.<Class>module-prefixed keys in the testpixelizations.jsonconfigs never resolved (autonervesJSONPriorConfigmatches on the real module path viaendswith); they are rekeyed torectangular_bilinear_adapt_density.RectangularBilinearAdaptDensity/rectangular_rtu_adapt_density.RectangularRTUAdaptDensity, which do resolve.Changes
autogalaxy/config/priors/mesh/:rectangular_adapt_density.yaml→rectangular_rtu_adapt_density.yaml,rectangular_adapt_image.yaml→rectangular_rtu_adapt_image.yaml(top-level keys renamed to the RTU class names); newrectangular_bilinear_adapt_density.yaml/rectangular_bilinear_adapt_image.yamlwith the same priors (the Bilinear meshes have nobandwidth/n_knots).docs/api/pixelization.rst: lists all four adaptive rectangular classes.autogalaxy/exc.py: docstring name update.test_autogalaxy/profiles/{config,mass/config}/summary/priors/pixelizations.json: stale key fix (above).Generated by the PyAutoLabs agent workflow.
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