# PyAutoNerves Board — YELLOW 331 config files across 9 sources · 172 workspace overrides · 3 with orphan keys · 76 possibly unused library keys · generated 2026-09-27T14:21:17Z Read-only map of every config file and option across the library and workspace `config/` folders. | Source | Kind | Files | Lines | Keys | Prior files | Unparseable | |---|---|---:|---:|---:|---:|---:| | PyAutoFit | library | 17 | 562 | 445 | 9 | 0 | | PyAutoArray | library | 4 | 136 | 128 | 0 | 0 | | PyAutoGalaxy | library | 99 | 7724 | 7587 | 93 | 0 | | PyAutoLens | library | 5 | 297 | 125 | 0 | 0 | | PyAutoCTI | library | 6 | 183 | 183 | 3 | 0 | | autofit_workspace | workspace | 19 | 665 | 452 | 7 | 0 | | autogalaxy_workspace | workspace | 85 | 6101 | 5830 | 71 | 0 | | autolens_workspace | workspace | 84 | 6283 | 5925 | 70 | 0 | | autocti_workspace | workspace | 12 | 298 | 258 | 4 | 0 | ## Workspace overrides | Workspace file | Counterpart | Differs | Workspace-only | Stack-only | |---|---|---:|---:|---:| | autofit_workspace/general.yaml | PyAutoFit | 1 | 0 | 4 | | autofit_workspace/logging.yaml | PyAutoFit | 0 | 0 | 1 | | autofit_workspace/non_linear/GridSearch.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/notation.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/output.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/priors/model.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/priors/profiles.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/visualize/general.yaml | PyAutoFit | 0 | 0 | 0 | | autofit_workspace/visualize/plots_search.yaml | PyAutoFit | 0 | 0 | 3 | | autogalaxy_workspace/general.yaml | PyAutoGalaxy | 2 | 0 | 17 | | autogalaxy_workspace/latent.yaml | PyAutoGalaxy | 1 | 0 | 0 | | autogalaxy_workspace/logging.yaml | PyAutoArray | 0 | 0 | 1 | | autogalaxy_workspace/non_linear/GridSearch.yaml | PyAutoFit | 0 | 0 | 0 | | autogalaxy_workspace/notation.yaml | PyAutoGalaxy | 1 | 0 | 34 | | autogalaxy_workspace/output.yaml | PyAutoGalaxy | 0 | 0 | 3 | | autogalaxy_workspace/priors/basis.yaml | PyAutoGalaxy | 0 | 0 | 1 | | autogalaxy_workspace/priors/cosmology.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/dataset_model.yaml | PyAutoGalaxy | 0 | 0 | 1 | | autogalaxy_workspace/priors/ellipse/ellipse.yaml | PyAutoGalaxy | 2 | 0 | 0 | | autogalaxy_workspace/priors/ellipse/ellipse_multipole.yaml | PyAutoGalaxy | 0 | 0 | 2 | | autogalaxy_workspace/priors/galaxy/redshift.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/exponential_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear_operated/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/linear_operated/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/operated/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/operated/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/operated/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/chameleon.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/eff.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/exponential_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/sersic.yaml | PyAutoGalaxy | 2 | 0 | 0 | | autogalaxy_workspace/priors/light/standard/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/gnfw.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/gnfw_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw_mcr_scatter.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw_truncated.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw_truncated_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/dark/nfw_truncated_mcr_scatter.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/point/point.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/point/smbh.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/sheets/external_shear.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/sheets/mass_sheet.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/chameleon.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/gaussian_gradient.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/stellar/sersic_gradient.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/total/isothermal.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/total/isothermal_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/total/power_law.yaml | PyAutoGalaxy | 0 | 0 | 6 | | autogalaxy_workspace/priors/mass/total/power_law_broken.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/total/power_law_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mass/total/power_law_multipole.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mesh/rectangular_bilinear_adapt_density.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mesh/rectangular_bilinear_adapt_image.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mesh/rectangular_rtu_adapt_density.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mesh/rectangular_rtu_adapt_image.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/mesh/rectangular_uniform.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/point_sources.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/adapt.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/adapt_split.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/constant.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/constant_split.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/matern_adapt_kernel.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/matern_kernel.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/priors/regularization/zeroth.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autogalaxy_workspace/visualize/general.yaml | PyAutoGalaxy | 2 | 0 | 18 | | autogalaxy_workspace/visualize/plots.yaml | PyAutoGalaxy | 2 | 0 | 20 | | autogalaxy_workspace/visualize/plots_search.yaml | PyAutoFit | 0 | 0 | 0 | | autolens_workspace/general.yaml | PyAutoLens | 2 | 2 | 18 | | autolens_workspace/latent.yaml | PyAutoLens | 6 | 0 | 1 | | autolens_workspace/logging.yaml | PyAutoArray | 0 | 0 | 1 | | autolens_workspace/non_linear/GridSearch.yaml | PyAutoFit | 0 | 0 | 0 | | autolens_workspace/notation.yaml | PyAutoGalaxy | 1 | 6 | 30 | | autolens_workspace/output.yaml | PyAutoLens | 0 | 0 | 3 | | autolens_workspace/priors/basis.yaml | PyAutoGalaxy | 0 | 0 | 1 | | autolens_workspace/priors/cosmology.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/dataset_model.yaml | PyAutoGalaxy | 0 | 0 | 1 | | autolens_workspace/priors/galaxy/redshift.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/exponential_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/shapelets/cartesian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/shapelets/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear/shapelets/polar.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear_operated/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/linear_operated/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/operated/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/operated/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/operated/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/chameleon.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/eff.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/exponential_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/moffat.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/light/standard/sersic.yaml | PyAutoGalaxy | 2 | 0 | 0 | | autolens_workspace/priors/light/standard/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/gnfw.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/gnfw_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/gnfw_virial_mass_conc.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw_mcr_scatter.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw_truncated.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw_truncated_mcr.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/dark/nfw_truncated_mcr_scatter.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/point/point.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/point/smbh.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/sheets/external_shear.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/sheets/mass_sheet.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/chameleon.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/dev_vaucouleurs.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/exponential.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/gaussian.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/gaussian_gradient.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/sersic.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/sersic_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/stellar/sersic_gradient.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/total/isothermal.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/total/isothermal_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/total/power_law.yaml | PyAutoGalaxy | 0 | 0 | 6 | | autolens_workspace/priors/mass/total/power_law_broken.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/total/power_law_core.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mass/total/power_law_multipole.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/delaunay.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/rectangular_bilinear_adapt_density.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/rectangular_bilinear_adapt_image.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/rectangular_rtu_adapt_density.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/rectangular_rtu_adapt_image.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/mesh/rectangular_uniform.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/point_sources.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/adapt.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/adapt_split.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/constant.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/constant_split.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/matern_adapt_kernel.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/matern_kernel.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/priors/regularization/zeroth.yaml | PyAutoGalaxy | 0 | 0 | 0 | | autolens_workspace/visualize/general.yaml | PyAutoGalaxy | 2 | 14 | 18 | | autolens_workspace/visualize/plots.yaml | PyAutoLens | 1 | 0 | 25 | | autolens_workspace/visualize/plots_search.yaml | PyAutoFit | 0 | 0 | 0 | | autocti_workspace/general.yaml | PyAutoCTI | 2 | 0 | 31 | | autocti_workspace/logging.yaml | PyAutoArray | 0 | 0 | 1 | | autocti_workspace/non_linear/GridSearch.yaml | PyAutoFit | 0 | 0 | 0 | | autocti_workspace/notation.yaml | PyAutoCTI | 2 | 0 | 18 | | autocti_workspace/priors/ccd.yaml | PyAutoCTI | 0 | 0 | 0 | | autocti_workspace/priors/hyper.yaml | PyAutoCTI | 0 | 0 | 0 | | autocti_workspace/priors/traps.yaml | PyAutoCTI | 0 | 0 | 0 | | autocti_workspace/visualize/general.yaml | PyAutoCTI | 0 | 0 | 36 | | autocti_workspace/visualize/plots.yaml | PyAutoCTI | 0 | 0 | 21 | | autocti_workspace/visualize/plots_search.yaml | PyAutoFit | 0 | 0 | 3 | ## Orphan keys (set by a workspace, defined by no library) - `autolens_workspace/general.yaml`: hpc.live_visual_update, hpc.quick_update_background - `autolens_workspace/notation.yaml`: label.label.contribution_factor, label.label.sigma_scale, label.superscript.hyperbackgroundnoise, label.superscript.hypergalaxy, label.superscript.hyperimagesky, label_format.format.contribution_factor - `autolens_workspace/visualize/general.yaml`: subplot_shape.1, subplot_shape.100, subplot_shape.12, subplot_shape.16, subplot_shape.2, subplot_shape.20, subplot_shape.36, subplot_shape.4, subplot_shape.49, subplot_shape.6, subplot_shape.64, subplot_shape.81 (+2 more) ## Possibly unused config keys (no library code reads them) 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): - [`general.yaml` `output.log_level`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/general.yaml#L17) - [`general.yaml` `output.log_to_file`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/general.yaml#L18) - [`general.yaml` `output.log_file`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/general.yaml#L19) - [`general.yaml` `output.search_internal`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/general.yaml#L22) - [`general.yaml` `profiling.repeats`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/general.yaml#L30) - [`non_linear/GridSearch.yaml` `parallel`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/non_linear/GridSearch.yaml#L3) - [`non_linear/GridSearch.yaml` `parallel.number_of_cores`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/non_linear/GridSearch.yaml#L4) - [`non_linear/GridSearch.yaml` `parallel.step_size`](https://github.com/PyAutoLabs/PyAutoFit/blob/main/autofit/config/non_linear/GridSearch.yaml#L5) - **PyAutoArray** (1): - [`general.yaml` `numba.use_numba`](https://github.com/PyAutoLabs/PyAutoArray/blob/main/autoarray/config/general.yaml#L23) - **PyAutoGalaxy** (1): - [`general.yaml` `adapt.adapt_noise_limit`](https://github.com/PyAutoLabs/PyAutoGalaxy/blob/main/autogalaxy/config/general.yaml#L14) - **PyAutoLens** (58): - [`general.yaml` `output.fit_dill`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/general.yaml#L2) - [`non_linear.yaml` `nest`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L1) - [`non_linear.yaml` `nest.DynestyDynamic`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L2) - [`non_linear.yaml` `nest.DynestyDynamic.initialize`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L3) - [`non_linear.yaml` `nest.DynestyDynamic.initialize.method`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L4) - [`non_linear.yaml` `nest.DynestyDynamic.parallel`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L5) - [`non_linear.yaml` `nest.DynestyDynamic.parallel.force_x1_cpu`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L6) - [`non_linear.yaml` `nest.DynestyDynamic.parallel.number_of_cores`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L7) - [`non_linear.yaml` `nest.DynestyDynamic.printing`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L8) - [`non_linear.yaml` `nest.DynestyDynamic.printing.silence`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L9) - [`non_linear.yaml` `nest.DynestyDynamic.run`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L10) - [`non_linear.yaml` `nest.DynestyDynamic.run.dlogz_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L11) - [`non_linear.yaml` `nest.DynestyDynamic.run.logl_max_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L12) - [`non_linear.yaml` `nest.DynestyDynamic.run.maxcall`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L13) - [`non_linear.yaml` `nest.DynestyDynamic.run.maxcall_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L14) - [`non_linear.yaml` `nest.DynestyDynamic.run.maxiter`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L15) - [`non_linear.yaml` `nest.DynestyDynamic.run.maxiter_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L16) - [`non_linear.yaml` `nest.DynestyDynamic.run.n_effective`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L17) - [`non_linear.yaml` `nest.DynestyDynamic.run.n_effective_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L18) - [`non_linear.yaml` `nest.DynestyDynamic.run.nlive_init`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L19) - [`non_linear.yaml` `nest.DynestyDynamic.search`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L20) - [`non_linear.yaml` `nest.DynestyDynamic.search.bootstrap`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L21) - [`non_linear.yaml` `nest.DynestyDynamic.search.bound`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L22) - [`non_linear.yaml` `nest.DynestyDynamic.search.enlarge`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L23) - [`non_linear.yaml` `nest.DynestyDynamic.search.facc`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L24) - [`non_linear.yaml` `nest.DynestyDynamic.search.first_update`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L25) - [`non_linear.yaml` `nest.DynestyDynamic.search.fmove`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L26) - [`non_linear.yaml` `nest.DynestyDynamic.search.max_move`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L27) - [`non_linear.yaml` `nest.DynestyDynamic.search.sample`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L28) - [`non_linear.yaml` `nest.DynestyDynamic.search.slices`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L29) - [`non_linear.yaml` `nest.DynestyDynamic.search.update_interval`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L30) - [`non_linear.yaml` `nest.DynestyDynamic.search.walks`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L31) - [`non_linear.yaml` `nest.DynestyStatic`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L32) - [`non_linear.yaml` `nest.DynestyStatic.initialize`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L33) - [`non_linear.yaml` `nest.DynestyStatic.initialize.method`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L34) - [`non_linear.yaml` `nest.DynestyStatic.parallel`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L35) - [`non_linear.yaml` `nest.DynestyStatic.parallel.number_of_cores`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L36) - [`non_linear.yaml` `nest.DynestyStatic.printing`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L37) - [`non_linear.yaml` `nest.DynestyStatic.printing.silence`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L38) - [`non_linear.yaml` `nest.DynestyStatic.run`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L39) - [`non_linear.yaml` `nest.DynestyStatic.run.dlogz`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L40) - [`non_linear.yaml` `nest.DynestyStatic.run.logl_max`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L41) - [`non_linear.yaml` `nest.DynestyStatic.run.maxcall`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L42) - [`non_linear.yaml` `nest.DynestyStatic.run.maxiter`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L43) - [`non_linear.yaml` `nest.DynestyStatic.run.n_effective`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L44) - [`non_linear.yaml` `nest.DynestyStatic.search`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L45) - [`non_linear.yaml` `nest.DynestyStatic.search.bootstrap`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L46) - [`non_linear.yaml` `nest.DynestyStatic.search.bound`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L47) - [`non_linear.yaml` `nest.DynestyStatic.search.enlarge`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L48) - [`non_linear.yaml` `nest.DynestyStatic.search.facc`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L49) - [`non_linear.yaml` `nest.DynestyStatic.search.first_update`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L50) - [`non_linear.yaml` `nest.DynestyStatic.search.fmove`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L51) - [`non_linear.yaml` `nest.DynestyStatic.search.max_move`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L52) - [`non_linear.yaml` `nest.DynestyStatic.search.nlive`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L53) - [`non_linear.yaml` `nest.DynestyStatic.search.sample`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L54) - [`non_linear.yaml` `nest.DynestyStatic.search.slices`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L55) - [`non_linear.yaml` `nest.DynestyStatic.search.update_interval`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L56) - [`non_linear.yaml` `nest.DynestyStatic.search.walks`](https://github.com/PyAutoLabs/PyAutoLens/blob/main/autolens/config/non_linear.yaml#L57) - **PyAutoCTI** (8): - [`general.yaml` `fits`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L1) - [`general.yaml` `fits.flip_for_ds9`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L2) - [`general.yaml` `hpc.iterations_per_update`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L5) - [`general.yaml` `model`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L6) - [`general.yaml` `model.ignore_prior_limits`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L7) - [`general.yaml` `output.log_file`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L11) - [`general.yaml` `output.log_level`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L12) - [`general.yaml` `output.log_to_file`](https://github.com/PyAutoLabs/PyAutoCTI/blob/main/autocti/config/general.yaml#L13) ## Environment variables - `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.