PyAutoNervesBoard

Signal. Connect. Understand.

Every config file and option across the libraries and the workspaces that override them — read-only.

YELLOW 331 config files across 9 sources · 172 workspace overrides · 3 with orphan keys · 76 possibly unused library keys

markdown version · board.json · GitHub

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Sources

RepoKindFilesLinesKeysPriorsUnparseable
PyAutoFit
autofit/config/
library1756244590
PyAutoArray
autoarray/config/
library413612800
PyAutoGalaxy
autogalaxy/config/
library9977247587930
PyAutoLens
autolens/config/
library529712500
PyAutoCTI
autocti/config/
library618318330
autofit_workspace
config/
workspace1966545270
autogalaxy_workspace
config/
workspace8561015830710
autolens_workspace
config/
workspace8462835925700
autocti_workspace
config/
workspace1229825840

Override map

Each workspace file against the same path across its library stack, in autonerves lookup order (e.g. lens → galaxy → array → fit). differs the workspace changes the value the libraries give; orphan no library defines the key; stack-only keys fall through to the libraries.

172 overriding files
Workspace fileCounterpartDiffersOrphanStack-only
autofit_workspace/general.yaml
hpc.iterations_per_quick_update
PyAutoFit104
autofit_workspace/logging.yaml
PyAutoFit001
autofit_workspace/non_linear/GridSearch.yaml
PyAutoFit000
autofit_workspace/notation.yaml
PyAutoFit000
autofit_workspace/output.yaml
PyAutoFit000
autofit_workspace/priors/model.yaml
PyAutoFit000
autofit_workspace/priors/profiles.yaml
PyAutoFit000
autofit_workspace/visualize/general.yaml
PyAutoFit000
autofit_workspace/visualize/plots_search.yaml
PyAutoFit003
autogalaxy_workspace/general.yaml
hpc.iterations_per_quick_updateinversion.use_border_relocator
PyAutoGalaxy2017
autogalaxy_workspace/latent.yaml
total_galaxy_0_flux_mujy
PyAutoGalaxy100
autogalaxy_workspace/logging.yaml
PyAutoArray001
autogalaxy_workspace/non_linear/GridSearch.yaml
PyAutoFit000
autogalaxy_workspace/notation.yaml
label.superscript.inputdeflections
PyAutoGalaxy1034
autogalaxy_workspace/output.yaml
PyAutoGalaxy003
autogalaxy_workspace/priors/basis.yaml
PyAutoGalaxy001
autogalaxy_workspace/priors/cosmology.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/dataset_model.yaml
PyAutoGalaxy001
autogalaxy_workspace/priors/ellipse/ellipse.yaml
ellipse.ell_comps_0ellipse.ell_comps_1
PyAutoGalaxy200
autogalaxy_workspace/priors/ellipse/ellipse_multipole.yaml
PyAutoGalaxy002
autogalaxy_workspace/priors/galaxy/redshift.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/dev_vaucouleurs.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/exponential.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/exponential_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/gaussian.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/moffat.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/sersic.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear/sersic_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear_operated/gaussian.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/linear_operated/moffat.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/operated/gaussian.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/operated/moffat.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/operated/sersic.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/chameleon.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/dev_vaucouleurs.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/eff.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/exponential.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/exponential_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/gaussian.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/moffat.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/light/standard/sersic.yaml
sersic.ell_comps_0sersic.ell_comps_1
PyAutoGalaxy200
autogalaxy_workspace/priors/light/standard/sersic_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/gnfw.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/gnfw_mcr.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw_mcr.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw_mcr_scatter.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw_truncated.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw_truncated_mcr.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/dark/nfw_truncated_mcr_scatter.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/point/point.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/point/smbh.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/sheets/external_shear.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/sheets/mass_sheet.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/chameleon.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/dev_vaucouleurs.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/exponential.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/gaussian.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/gaussian_gradient.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/sersic.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/sersic_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/stellar/sersic_gradient.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/total/isothermal.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/total/isothermal_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/total/power_law.yaml
PyAutoGalaxy006
autogalaxy_workspace/priors/mass/total/power_law_broken.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/total/power_law_core.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mass/total/power_law_multipole.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mesh/rectangular_bilinear_adapt_density.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mesh/rectangular_bilinear_adapt_image.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mesh/rectangular_rtu_adapt_density.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mesh/rectangular_rtu_adapt_image.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/mesh/rectangular_uniform.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/point_sources.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/adapt.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/adapt_split.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/constant.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/constant_split.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/matern_adapt_kernel.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/matern_kernel.yaml
PyAutoGalaxy000
autogalaxy_workspace/priors/regularization/zeroth.yaml
PyAutoGalaxy000
autogalaxy_workspace/visualize/general.yaml
contour.include_valueszoom.inversion_percent
PyAutoGalaxy2018
autogalaxy_workspace/visualize/plots.yaml
galaxies.fits_galaxy_imagesgalaxies.subplot_galaxies
PyAutoGalaxy2020
autogalaxy_workspace/visualize/plots_search.yaml
PyAutoFit000
autolens_workspace/general.yaml
hpc.live_visual_updatehpc.quick_update_backgroundhpc.iterations_per_quick_updatetest.disable_positions_lh_inversion_check
PyAutoLens2218
autolens_workspace/latent.yaml
effective_einstein_radiusmagnificationtotal_galaxy_0_fluxtotal_lens_flux_mujytotal_lensed_source_flux_mujytotal_source_flux_mujy
PyAutoLens601
autolens_workspace/logging.yaml
PyAutoArray001
autolens_workspace/non_linear/GridSearch.yaml
PyAutoFit000
autolens_workspace/notation.yaml
label.label.contribution_factorlabel.label.sigma_scalelabel.superscript.hyperbackgroundnoiselabel.superscript.hypergalaxylabel.superscript.hyperimageskylabel_format.format.contribution_factorlabel.superscript.inputdeflections
PyAutoGalaxy1630
autolens_workspace/output.yaml
PyAutoLens003
autolens_workspace/priors/basis.yaml
PyAutoGalaxy001
autolens_workspace/priors/cosmology.yaml
PyAutoGalaxy000
autolens_workspace/priors/dataset_model.yaml
PyAutoGalaxy001
autolens_workspace/priors/galaxy/redshift.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/dev_vaucouleurs.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/exponential.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/exponential_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/gaussian.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/moffat.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/sersic.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/sersic_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/shapelets/cartesian.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/shapelets/exponential.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear/shapelets/polar.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear_operated/gaussian.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/linear_operated/moffat.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/operated/gaussian.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/operated/moffat.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/operated/sersic.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/chameleon.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/dev_vaucouleurs.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/eff.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/exponential.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/exponential_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/gaussian.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/moffat.yaml
PyAutoGalaxy000
autolens_workspace/priors/light/standard/sersic.yaml
sersic.ell_comps_0sersic.ell_comps_1
PyAutoGalaxy200
autolens_workspace/priors/light/standard/sersic_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/gnfw.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/gnfw_mcr.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/gnfw_virial_mass_conc.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw_mcr.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw_mcr_scatter.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw_truncated.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw_truncated_mcr.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/dark/nfw_truncated_mcr_scatter.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/point/point.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/point/smbh.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/sheets/external_shear.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/sheets/mass_sheet.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/chameleon.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/dev_vaucouleurs.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/exponential.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/gaussian.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/gaussian_gradient.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/sersic.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/sersic_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/stellar/sersic_gradient.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/total/isothermal.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/total/isothermal_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/total/power_law.yaml
PyAutoGalaxy006
autolens_workspace/priors/mass/total/power_law_broken.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/total/power_law_core.yaml
PyAutoGalaxy000
autolens_workspace/priors/mass/total/power_law_multipole.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/delaunay.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/rectangular_bilinear_adapt_density.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/rectangular_bilinear_adapt_image.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/rectangular_rtu_adapt_density.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/rectangular_rtu_adapt_image.yaml
PyAutoGalaxy000
autolens_workspace/priors/mesh/rectangular_uniform.yaml
PyAutoGalaxy000
autolens_workspace/priors/point_sources.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/adapt.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/adapt_split.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/constant.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/constant_split.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/matern_adapt_kernel.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/matern_kernel.yaml
PyAutoGalaxy000
autolens_workspace/priors/regularization/zeroth.yaml
PyAutoGalaxy000
autolens_workspace/visualize/general.yaml
subplot_shape.1subplot_shape.100subplot_shape.12subplot_shape.16subplot_shape.2subplot_shape.20subplot_shape.36subplot_shape.4contour.include_valueszoom.inversion_percent+6 more
PyAutoGalaxy21418
autolens_workspace/visualize/plots.yaml
galaxies.subplot_galaxies
PyAutoLens1025
autolens_workspace/visualize/plots_search.yaml
PyAutoFit000
autocti_workspace/general.yaml
output.force_visualize_overwriteoutput.samples_to_csv
PyAutoCTI2031
autocti_workspace/logging.yaml
PyAutoArray001
autocti_workspace/non_linear/GridSearch.yaml
PyAutoFit000
autocti_workspace/notation.yaml
label.superscript.ccdcomplexlabel.superscript.ccdphase
PyAutoCTI2018
autocti_workspace/priors/ccd.yaml
PyAutoCTI000
autocti_workspace/priors/hyper.yaml
PyAutoCTI000
autocti_workspace/priors/traps.yaml
PyAutoCTI000
autocti_workspace/visualize/general.yaml
PyAutoCTI0036
autocti_workspace/visualize/plots.yaml
PyAutoCTI0021
autocti_workspace/visualize/plots_search.yaml
PyAutoFit003

Possibly unused config keys

A static scan of every library's (and autonerves') Python for conf.instance[...] lookups: a key is unused when no literal lookup reads it, no read runs through it and no section read or non-literal subscript covers it. Keys read dynamically some other way are false positives — check before deleting.

PyAutoFit — 8 keys
PyAutoArray — 1 key
PyAutoGalaxy — 1 key
PyAutoLens — 58 keys
PyAutoCTI — 8 keys

Environment variables

The PYAUTO_* switches autonerves reads — options that live outside the YAML.

VariableWhat it does
PYAUTO_DISABLE_JAX
autonerves/test_mode.py
Return True if the JAX backend is disabled for this process.
PYAUTO_LATENT_NAN_INJECT
autonerves/test_mode.py
Return the ``PYAUTO_LATENT_NAN_INJECT`` spec string, or ``None``.
PYAUTO_SKIP_CHECKS
autonerves/test_mode.py
Return True if validation checks should be skipped.
PYAUTO_SKIP_FIT_OUTPUT
autonerves/test_mode.py
Return True if fit I/O should be skipped.
PYAUTO_SKIP_LATENTS
autonerves/test_mode.py
Return True if latent variable computation should be skipped.
PYAUTO_SKIP_VISUALIZATION
autonerves/test_mode.py
Return True if fit visualization should be skipped.
PYAUTO_SKIP_WORKSPACE_VERSION_CHECK
autonerves/workspace.py
Verify that the installed library is new enough for the workspace at ``workspace_root``.
PYAUTO_SMALL_DATASETS
autonerves/test_mode.py
Return True if the small-datasets regime is active.
PYAUTO_TEST_MODE
autonerves/test_mode.py
Return the current test mode level.
PYAUTO_TEST_MODE_SAMPLES
autonerves/test_mode.py
Return the number of fake samples the test-mode sampler bypass writes.

Workspace tooling

build/ lists for CI and the release build — workspace-local, not library settings.