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…nv_vars.yaml scripts/multi/visualization_imaging.py loads the 150x150 lens_sersic dataset from disk via Imaging.from_fits (which does not honour PYAUTO_SMALL_DATASETS) and then builds its mask via al.Mask2D.circular (which DOES cap to 15x15 under PYAUTO_SMALL_DATASETS=1, even when shape_native is explicit). The mismatch raises a (150,150) vs (15,15) broadcast error on apply_mask. The script does not run a non-linear search, so it is only useful at full resolution; unset the cap via the existing env_vars.yaml override mechanism. Closes Cluster E from the 2026-05-07 release-prep triage. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
The triage runner (driven by
autolens_workspace_test/config/build/env_vars.yaml'sdefaults:block, which setsPYAUTO_SMALL_DATASETS: "1") reproducibly failsscripts/multi/visualization_imaging.pywithValueError: operands could not be broadcast together with shapes (150,150) (15,15)atdataset.apply_mask(mask=mask). The script already derives mask shape fromdataset.shape_native, butal.Mask2D.circularsilently caps to 15×15 under the env var whileImaging.from_fitsdoes not, leaving the mask and dataset shape-mismatched. Unset the cap for this script via the existing override mechanism.Scripts Changed
config/build/env_vars.yaml— addedmulti/visualization_imagingto the override list (unsettingPYAUTO_SMALL_DATASETS). Same shape as the existingimaging/visualization,imaging/model_fit, etc. overrides; comment block explains the asymmetry betweenMask2D.circular's SMALL_DATASETS handling andImaging.from_fits's lack thereof.Test Plan
env_config.build_env_for_scriptresolvesmulti/visualization_imaging.py→PYAUTO_SMALL_DATASETSunset.multi/visualization_interferometer.pyand othermulti/scripts still seePYAUTO_SMALL_DATASETS=1(no bleed).PYAUTO_TEST_MODE=2 PYAUTO_DISABLE_JAX=1 PYAUTO_FAST_PLOTS=1withPYAUTO_SMALL_DATASETSunset).multi/visualization_imaging.pyis not insmoke_tests.txt(not added).Follow-up
Mask2D.circular'sPYAUTO_SMALL_DATASETS=1cap silently overrides an explicitshape_nativeargument — a real library wart inPyAutoArray/autoarray/mask/mask_2d.py:363-366. A future PR could either only apply the cap whenshape_nativeis at its default, or makeImaging.from_fitsalso honour the env var so the dataset and mask stay consistent. Worth filing as its ownPyAutoArrayissue.🤖 Generated with Claude Code