Skip to content

v2026.6.25.641

Latest

Choose a tag to compare

@Jammy2211 Jammy2211 released this 25 Jun 06:08
· 1 commit to main since this release

PyAutoLens v2026.6.25.641

What's New

Breaking Changes

  • feat: datacube shared-state for AnalysisInterferometer via curvature preloads (#566)
  • Honour PYAUTO_TEST_MODE in LOSSampler to fix los_halos simulator timeouts (#559)
    • autolens.lens.los.negative_kappa_from gains two optional keyword arguments, quad_limit=50 and quad_epsrel=1.49e-8 (both scipy's own quad defaults), threaded into its inner and outer integrals. Existing callers are unaffected. LOSSampler.galaxies_from now reads autoconf.test_mode.is_test_mode() internally; its signature is unchanged. No removals or renames. See full details below.

New Features

  • docs: add signpost llms.txt + consolidate agent instructions into AGENTS.md (#570)
  • test: regression guard for HowToLens tutorial_3 NaN axis-limits crash (#560)

Bug Fixes

  • fix(jax): defensive pytree dedup in imaging/interferometer analyses (#561)

Internal

  • main.yml → thin caller to Pulse reusable lib-tests (Stage 4 Phase A) (#572)
  • Remove url_check.yml: URL hygiene centralised in PyAutoPulse (#571)
  • docs: consolidate agent instructions into canonical AGENTS.md (#569)
  • refactor(latent): LatentLens class + declare Analysis.Latent (Phase 2) (#568)
  • Feature/positions threshold (#507)

Upstream Changes

PyAutoFit

  • main.yml → thin caller to Pulse reusable lib-tests (Stage 4 Phase A) (#1322)
  • Remove url_check.yml: URL hygiene centralised in PyAutoPulse (#1321)
  • docs: add signpost llms.txt + consolidate agent instructions into AGENTS.md (#1320)
  • docs: consolidate agent instructions into canonical AGENTS.md (#1319)
  • refactor(latent): migrate af.ex.Analysis + cookbook docs to the Latent class (#1318)
  • fix: skip latent computation without keys (#1317)
  • refactor(latent): first-class Latent class + engine extraction (Phase 1) (#1315)
  • fix: expand bypass-mode fake samples (#1314)
  • test: skip NSS tests without optional dependency (#1312)
  • fix(latent): degenerate latent edge cases (quantile n=1, latent exceptions, anti-correlated NaNs) (#1311)
  • fix(latent): global masking in compute_latent_samples to prevent KeyError on per-batch NaN drops (#1310)
  • feat: cross-Analysis shared per-evaluation state in FactorGraphModel (#1308)
  • chore(deps): allow anesthetic>=2.9.0 to unblock jax>=0.7 / numpy>=2 resolution (#1306)
  • fix(nss): chunked algo.init follow-up to #1303 (#1305)
  • feat(nss): chunk_size kwarg for inversion-heavy A100 likelihoods (#1303)
  • fix(jax): structural defense against cached_property pytree/dict leaks (#1302)

PyAutoArray

  • main.yml → thin caller to Pulse reusable lib-tests (Stage 4 Phase A) (#349)
  • Remove url_check.yml: URL hygiene centralised in PyAutoPulse (#348)
  • docs: add signpost llms.txt + consolidate agent instructions into AGENTS.md (#347)
  • docs: consolidate agent instructions into canonical AGENTS.md (#346)
  • feat: Preloads API for reusing channel-invariant inversion quantities (#344)
  • fix(jax): exclude cached_property descriptors from pytree flatten paths (#343)

PyAutoGalaxy

  • main.yml → thin caller to Pulse reusable lib-tests (Stage 4 Phase A) (#476)
  • Remove url_check.yml: URL hygiene centralised in PyAutoPulse (#475)
  • docs: add signpost llms.txt + consolidate agent instructions into AGENTS.md (#474)
  • docs: consolidate agent instructions into canonical AGENTS.md (#473)
  • refactor(latent): LatentGalaxy class + declare Analysis.Latent (Phase 2) (#472)
  • Lensing potential for elliptical/spherical dark-matter profiles (NFW/gNFW) + NFWSph fix (#470)
  • fix(jax): defensive pytree dedup in imaging/interferometer analyses (#468)
  • fix(mass): convergence_func on PowerLawBroken, PowerLawMultipole, cNFW family (#467)

Full changelog: 2026.5.29.4...2026.6.25.641