Adaptive over-sampling: replace trailing sub_size 1 with 2 - #102
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Adaptive schemes ([4,2,1] / [8,4,1] with radial_list=[0.3,0.6]) dropped to sub_size 1 beyond 0.6", evaluating the lensed source's arcs with no over-sampling. With MGE sources this aliases compact Gaussians and degrades gradient-based searches. Every trailing 1 becomes 2; simulators ([32,8,2]) unchanged. Guide prose updated to the MGE-era justification. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
Test-workspace half of the trailing-sub_size-1 sweep (
[4, 2, 1]→[4, 2, 2]), so regression scripts match the new workspace default (2x2 outer floor; see PyAutoLabs/autolens_workspace#443).Scripts Changed
sub_size_listsweep as aboveTest Plan
sub_size_list=[…, 1]remaining (regex-verified)Generated by the PyAutoLabs agent workflow.