docs: Lenstool example on the canonical CSV API end to end (stacked on #250)#252
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…er scripts
cluster/{modeling,start_here}.py: manual three-file existence guards ->
al.util.dataset.should_simulate (imaging convention; carries small-mode
delete-and-regenerate). lenstool/data.py: 96 MB mosaic/cutout leg skipped
under PYAUTO_SMALL_DATASETS=1 (visualization-only product). lenstool/
modeling.py: the 72-param refit runs only under LENSTOOL_EXAMPLE_RUN_FIT=1,
never PYAUTO_TEST_MODE (sweep env put the factor-graph search into reduced-
iterations mode -> 600s+ hang; structural pass always runs). Evidence under
the exact sweep env, fresh regen: start_here 24s, modeling 26s, lenstool
data 2s, lenstool modeling 175s (0.068" parity intact).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PUuWXiS23FvmfQPLvMNjeM
…#250) data.py now writes the published model as ONE canonical mass.csv — 149 dPIEMassLenstool rows whose columns are the .par keywords verbatim (incl. the run's H0/Om0) — plus members.csv in the galaxy_table schema with ellipticity/angle_pos/mag properties. modeling.py loads everything through al.galaxy_models_from_csv / al.galaxies_from_csv_tables / al.galaxy_af_models_from_csv_tables — the bespoke rows_from_csv reader is gone, and the named-halo refit models originate from the CSV with input.par priors promoted on top. Reconstruction parity re-verified: 0.0680" median source-plane rms, identical to pre-port. csv_api.py documents the Lenstool rows, light-variant names, table properties and the new loud guards. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PUuWXiS23FvmfQPLvMNjeM
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Summary
Stacked on #250 (merge that first; this PR then shows only its own commit). Companion to PyAutoLabs/PyAutoGalaxy#491 (issue PyAutoLabs/PyAutoGalaxy#490).
The Lenstool example now runs on the canonical CSV API end to end — the user directive that a Lenstool user should learn the PyAutoLens interface while feeling at home:
data.pywrites the published Mahler et al. model as one canonicalmass.csv: 149 rows ofprofile_class = dPIEMassLenstoolwhose columns are the.parkeywords verbatim (sigma, r_core, r_cut, ellipticity, angle_pos) plus the run's redshifts andH0/Om0— the.parfile as a table. The member catalogue becomesmembers.csvin thegalaxy_tableschema withellipticity/angle_pos/magproperty columns.modeling.pyloads everything throughal.galaxy_models_from_csv/al.galaxies_from_csv_tables(reconstruction: one call for all 149 components) andal.galaxy_af_models_from_csv_tables(refit: the named halos start as af.Models straight from the CSV, withinput.par's priors promoted on top) — the bespokerows_from_csvreader is deleted.csv_api.pydocuments the Lenstool-parameterized rows, light-variant qualified names, table properties, and the new loud guards.Parity re-verified after the port: 0.0680″ median source-plane rms — identical to pre-port, and the refit composes at the same 72 parameters.
Scripts Changed
scripts/cluster/lenstool/{data,modeling}.py,scripts/cluster/csv_api.py(+ catalogue regen).Merge order
Validation checklist (--auto run)
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