v2026.5.8.2

⚠️ v2026.5.8.2 is a no-op re-release of v2026.5.8.1 — same code, second release dispatched the same day to validate updated release-pipeline gates. The full set of changes shipped on 2026-05-08 follows.

PyAutoArray v2026.5.8.2

What's New

Breaking Changes

• feat: honor PYAUTO_SMALL_DATASETS in Imaging.from_fits (#301)
  • • New public utility autoarray.util.dataset_util.cap_array_2d_for_small_datasets(array_2d, pixel_scales) that center-crops a 2D autoarray to (15, 15)/0.6 when PYAUTO_SMALL_DATASETS=1 and the input exceeds the cap. Returns inputs unchanged otherwise.
  • • Imaging.from_fits now calls this helper for data and noise_map. PSF unchanged. Signature, docstring, and default behaviour with the env var unset are unchanged — this is a behaviour change only under PYAUTO_SMALL_DATASETS=1.

Bug Fixes

• fix OOB read in psf_precision_value_from causing NaN sparse-CPU log_evidence (#296)

Internal

• refactor: replace os.path with pathlib (#300)
• docs: convert remaining prose .rst to MyST .md (pass 2) (#298)
• Fix subplot_of_mapper crash on interferometer data_subtracted (#297)
• test: remove jax-using unit tests; assertions moved to autolens_workspace_test (#295)
• docs: convert index.rst to MyST .md (#294)

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Full changelog: 2026.5.1.4...2026.5.8.2

v2026.5.8.1

PyAutoArray v2026.5.8.1

What's New

Breaking Changes

• feat: honor PYAUTO_SMALL_DATASETS in Imaging.from_fits (#301)
  • • New public utility autoarray.util.dataset_util.cap_array_2d_for_small_datasets(array_2d, pixel_scales) that center-crops a 2D autoarray to (15, 15)/0.6 when PYAUTO_SMALL_DATASETS=1 and the input exceeds the cap. Returns inputs unchanged otherwise.
  • • Imaging.from_fits now calls this helper for data and noise_map. PSF unchanged. Signature, docstring, and default behaviour with the env var unset are unchanged — this is a behaviour change only under PYAUTO_SMALL_DATASETS=1.

Bug Fixes

• fix OOB read in psf_precision_value_from causing NaN sparse-CPU log_evidence (#296)

Internal

• refactor: replace os.path with pathlib (#300)
• docs: convert remaining prose .rst to MyST .md (pass 2) (#298)
• Fix subplot_of_mapper crash on interferometer data_subtracted (#297)
• test: remove jax-using unit tests; assertions moved to autolens_workspace_test (#295)
• docs: convert index.rst to MyST .md (#294)

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Full changelog: 2026.5.1.4...2026.5.8.1

v2026.5.1.4

PyAutoArray v2026.5.1.4

Highlights

Python 3.9–3.13 supported, 3.12 / 3.13 recommended

This release expands supported Python versions to 3.9 through 3.13 (#293). 3.12 and 3.13 are first-class recommended; 3.9, 3.10, 3.11 are supported but emit a loud (bypassable) banner on import. Silence the banner via version.python_version_check: False in your workspace's config/general.yaml. Python 3.14 is not yet supported.

Key impacts for users:

• requires-python = ">=3.9" in pyproject.toml (lower floor than before)
• Classifiers now cover 3.9, 3.10, 3.11, 3.12, 3.13
• JAX is now an optional extra: pip install autoarray[jax], gated on python_version >= '3.11'. Plain pip install autoarray no longer pulls JAX as a transitive dep.
• AbstractNDArray.__array__ now coerces to numpy and accepts numpy 2.0's copy kwarg, fixing interop with newer numpy when JAX isn't installed.

Bug Fixes

• Handle off-centre masks in convolver and blurring grid padding (#274) — convolution no longer drifts the result for masks whose centre isn't aligned with the grid origin
• Fix NaN gradients from jaxnnls backward pass via Jacobi preconditioning (#279) — gradients through the NNLS solver are now numerically stable
• Lower nnls_target_kappa default to 1e-11 for stable NNLS gradients (#283) — the previous default could produce diverging Jacobi-preconditioned solves on stiff problems
• Align hardcoded nnls_target_kappa fallback with the YAML default (1e-11) (#284) — keeps inline-default and config-default in sync

Internal / Cleanup

• Remove jax-using unit tests; assertions moved to autolens_workspace_test (#295) — keeps the library's unit suite numpy-only

Upstream Changes

PyAutoConf

• Support Python 3.9–3.13, first-class 3.12/3.13 (PyAutoConf#102)
• Soften Python version check with general.yaml bypass (PyAutoConf#96)

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Full changelog: 2026.4.13.6...2026.5.1.4

v2026.4.13.6

PyAutoArray v2026.4.13.6

What's New

Bug Fixes

• fix: pin autoconf dependency version and update homepage URL (#273)

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Full changelog: 2026.4.13.5...2026.4.13.6

v2026.4.13.5

PyAutoArray v2026.4.13.5

What's New

Bug Fixes

• fix: pin autoconf dependency version and update homepage URL (#273)

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Full changelog: 2026.4.13.3...2026.4.13.5

v2026.4.13.3

PyAutoArray v2026.4.13.3

What's New

Breaking Changes

• refactor: rename env vars to PYAUTO_* prefix (#265)
  • Three env var renames. Hilbert mesh validation now controlled by PYAUTO_SKIP_CHECKS instead of PYAUTOFIT_TEST_MODE. See full details below.

New Features

• Add should_simulate utility for auto-simulation with small datasets (#261)
• feat: add title_prefix support to subplot_imaging_dataset (#260)
• feat: PYAUTO_WORKSPACE_SMALL_DATASETS env var for fast smoke tests (#253)

Bug Fixes

• fix: bump scipy cap to <=1.15.2 (#266)
• fix: add _mappings_sizes_weights_split to InterpolatorRectangular (#262)

Internal

• fix: guard zoom_array against non-autoarray mask objects (#270)
• build: add Python 3.13 to CI matrix (#268)
• build: raise caps on scipy, astropy, scikit-image, scikit-learn (#267)
• Guarantee GaussianKernel regularization matrix is PD (#264)
• refactor: clamp brightest_coordinate_in_region_from to array bounds (#263)
• perf: defer scipy imports to reduce import time (#259)
• perf: skip radial bins computation when PYAUTO_WORKSPACE_SMALL_DATASETS=1 (#258)
• perf: force over_sample_size=2 when PYAUTO_WORKSPACE_SMALL_DATASETS=1 (#257)
• fix: import is_test_mode from autoconf instead of autofit (#256)
• perf: skip savefig rendering in PYAUTO_FAST_PLOTS mode (#255)
• feat: add tight_layout wrapper with PYAUTO_FAST_PLOTS env var (#254)
• perf: speed up unit tests 63% by removing JAX from triangle tests (#252)
• Use centralized is_test_mode() from PyAutoFit (#250)
• Drop Python 3.9-3.11, add 3.13 (#249)

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Full changelog: 2026.4.5.3...2026.4.13.3

v2026.4.5.3

PyAutoArray v2026.4.5.3

What's New

New Features

• Make output_format configurable, default to show (#248)

Bug Fixes

• Plot improvements: arcsec tick labels, circular import fix, test imports (#241)
• perform fix by not linking state blurring grid to dataset grid (#221)
• fix rectangular mesh grid plot (#219)
• feature/psf_centering_fix (#216)
• feature/final_border_fix (#212)

Internal

• Drop Python 3.9-3.11, add 3.13 (#249)
• Visualization final: config origin, fits API, output mode (#247)
• Colorbar tick fontsize reduction and scientific notation consistency (#246)
• Plot improvements: DPI config, Delaunay aspect ratio, tick rounding, source vmax (#244)
• Add RGB support to plot_array (#243)
• Plot improvements: line_colors, is_subplot colorbar sizing, inversion panels (#242)
• Plot improvements batch 2 (#240)
• Overhaul 2D plot styling and subplot layout (#239)
• Add subplot_imaging and subplot_imaging_dataset_list standalone plot functions (#238)
• Claude/refactor plotting module s6 zq1 (#236)
• Refactor dataset and operator tests for granularity and clarity (#235)
• Refactor inversion and mapper tests for granularity and clarity (#234)
• Refactor regularization tests for granularity and clarity (#233)
• refactor: split mask tests into granular focused tests (#232)
• refactor: split structures tests into granular focused tests (#231)
• refactor: split fit tests into granular focused tests (#230)
• improve docstrings for autoarray/inversion package and update fit log… (#229)
• Improve docstrings for autoarray/fit package (#228)
• docs: refactor docstrings for autoarray/structures package (#227)
• docs: refactor docstrings for autoarray/mask package (#226)
• docs: refactor and complete docstrings for autoarray/geometry (#225)
• docs: refactor and complete docstrings for autoarray/dataset (#224)
• Add CLAUDE.md documenting decorator system and JAX jit boundary (#223)
• eature/blurring_mask_padding (#222)
• Feature/remove preloads (#220)
• Feature/psf convolution refactor (#218)
• Feature/mesh refactor (#217)
• Feature/matern adaptive (#214)
• feature/formatting (#213)
• Feature/voronoi safe fallback (#211)
• Feature/wcs coordinates (#210)
• Feature/unconvolved images (#209)
• Feature/border relocator via ellipse (#208)
• Feature/linalg mixed precision (#205)
• Feature/fft jax imaging (#204)
• feature/remove mapper valued (#203)
• Feature/jax w tilde preload (#202)
• Feature/interferometer (#201)
• feature/matern_jax (#200)
• Feature/delaunay primitive (#199)
• Feature/image mesh border (#198)
• Feature/image mesh jax (#197)
• Feature/numba speed up (#196)
• Feature/w tilde via dataset (#195)

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Full changelog: 2026.4.5.3...2026.4.5.3