chore: rename repo references PyAutoConf → PyAutoNerves

.github/workflows/lint.yml

@@ -27,11 +27,11 @@ jobs:
         with:
           path: autolens_profiling
 
-      - name: Checkout PyAutoConf
+      - name: Checkout PyAutoNerves
         uses: actions/checkout@v4
         with:
-          repository: PyAutoLabs/PyAutoConf
-          path: PyAutoConf
+          repository: PyAutoLabs/PyAutoNerves
+          path: PyAutoNerves
       - name: Checkout PyAutoFit
         uses: actions/checkout@v4
         with:
@@ -66,7 +66,7 @@ jobs:
           # (pyyaml, astropy, jax, numba, ...) without hand-maintaining a
           # package list. PYTHONPATH below still resolves the PyAuto* imports
           # from source, so the checkouts stay authoritative.
-          for r in PyAutoConf PyAutoFit PyAutoArray PyAutoGalaxy PyAutoLens; do
+          for r in PyAutoNerves PyAutoFit PyAutoArray PyAutoGalaxy PyAutoLens; do
             pip install "./$r[optional]"
           done
 
@@ -111,7 +111,7 @@ jobs:
           AUTOLENS_PROFILING_SMOKE: "1"
           NUMBA_CACHE_DIR: /tmp/numba_cache
           MPLCONFIGDIR: /tmp/matplotlib
-          PYTHONPATH: ${{ github.workspace }}/PyAutoConf:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
+          PYTHONPATH: ${{ github.workspace }}/PyAutoNerves:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
         run: |
           # Each script reads AUTOLENS_PROFILING_SMOKE at module top and
           # exits 0 immediately after the import + setup section. Catches

.github/workflows/profile.yml

@@ -54,11 +54,11 @@ jobs:
           path: autolens_profiling
           token: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Checkout PyAutoConf
+      - name: Checkout PyAutoNerves
         uses: actions/checkout@v4
         with:
-          repository: PyAutoLabs/PyAutoConf
-          path: PyAutoConf
+          repository: PyAutoLabs/PyAutoNerves
+          path: PyAutoNerves
       - name: Checkout PyAutoFit
         uses: actions/checkout@v4
         with:
@@ -99,7 +99,7 @@ jobs:
         env:
           NUMBA_CACHE_DIR: /tmp/numba_cache
           MPLCONFIGDIR: /tmp/matplotlib
-          PYTHONPATH: ${{ github.workspace }}/PyAutoConf:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
+          PYTHONPATH: ${{ github.workspace }}/PyAutoNerves:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
         run: |
           set +e  # don't abort the whole step on one script's failure
           for script in likelihood_runtime/imaging/*.py likelihood_runtime/interferometer/*.py \
@@ -116,7 +116,7 @@ jobs:
         env:
           NUMBA_CACHE_DIR: /tmp/numba_cache
           MPLCONFIGDIR: /tmp/matplotlib
-          PYTHONPATH: ${{ github.workspace }}/PyAutoConf:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
+          PYTHONPATH: ${{ github.workspace }}/PyAutoNerves:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
         run: |
           set +e
           for script in simulators/imaging.py simulators/interferometer.py \
@@ -136,7 +136,7 @@ jobs:
         env:
           NUMBA_CACHE_DIR: /tmp/numba_cache
           MPLCONFIGDIR: /tmp/matplotlib
-          PYTHONPATH: ${{ github.workspace }}/PyAutoConf:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
+          PYTHONPATH: ${{ github.workspace }}/PyAutoNerves:${{ github.workspace }}/PyAutoFit:${{ github.workspace }}/PyAutoArray:${{ github.workspace }}/PyAutoGalaxy:${{ github.workspace }}/PyAutoLens
         run: |
           set +e
           # Nautilus at n_live=200 on CPU takes O(minutes) to O(hours) per

AGENTS.md

@@ -43,7 +43,7 @@ auto-simulate-if-missing hook, so per-script boilerplate stays minimal.
 
 The PyAuto* libraries are **not pip-installed** here — they are resolved from sibling source
 checkouts via `PYTHONPATH`. On the HPC, `source activate.sh` activates the shared venv (third-party
-deps only) and points `PYTHONPATH` at the canonical `PyAutoConf`/`PyAutoFit`/`PyAutoArray`/
+deps only) and points `PYTHONPATH` at the canonical `PyAutoNerves`/`PyAutoFit`/`PyAutoArray`/
 `PyAutoGalaxy`/`PyAutoLens` checkouts; `HPCPullPyAuto` is then the whole library-update story.
 
 JAX convention (mirrors `autolens_workspace_developer`): pass `xp=jnp` through PyAuto* functions to
@@ -87,7 +87,7 @@ write from a header skim silently deletes every section below the header.
 ## Related Repos
 
 - `../PyAutoLens` — the library being profiled (plus `../PyAutoGalaxy`, `../PyAutoArray`,
-  `../PyAutoFit`, `../PyAutoConf` on `PYTHONPATH`).
+  `../PyAutoFit`, `../PyAutoNerves` on `PYTHONPATH`).
 - `../autolens_workspace` — user-facing science scripts and tutorials.
 - `../PyAutoHands` — build/CI tooling.
 

activate.sh

@@ -19,7 +19,7 @@ BASE=/mnt/ral/jnightin/PyAuto
 source "$BASE/PyAuto/bin/activate"
 
 export PYTHONPATH=$BASE:\
-$BASE/PyAutoConf:\
+$BASE/PyAutoNerves:\
 $BASE/PyAutoFit:\
 $BASE/PyAutoArray:\
 $BASE/PyAutoGalaxy:\

jax_compile/README.md

@@ -36,7 +36,7 @@ original tags for provenance.
 - ~~Autotuning ruled out (2026-07-15)~~ **downgraded to unproven 2026-07-17**:
   the flag never took effect — `autoconf/jax_wrapper.py` overwrote `XLA_FLAGS`
   (see Verdict item 3); "identical to the decimal" is exactly what clobbering
-  produces. Re-test after PyAutoConf#127 if autotune ever matters again.
+  produces. Re-test after PyAutoNerves#127 if autotune ever matters again.
 - Fresh-closure-per-call JIT cache-busting is a known stack trap (cache the
   jitted closure on the instance).
 - `analysis.print_vram_use()` triggers a full vmapped compile (not a cheap
@@ -133,7 +133,7 @@ one-time-per-machine cost the cache already removes. **Do not restructure.**
 3. **Upstream**: the 7m30 single-fusion compile is XLA-report material.
    CORRECTED 2026-07-17: `--xla_dump_to` is not inert — `autoconf/jax_wrapper.py`
    was *overwriting* `XLA_FLAGS` at import, silently discarding user/job flags
-   (fixed in PyAutoConf#127). Two consequences: (a) the HLO dump just needs a
+   (fixed in PyAutoNerves#127). Two consequences: (a) the HLO dump just needs a
    re-run once that fix lands (or `XLA_FLAGS` including the constant_folding
    disable so the wrapper leaves it alone); (b) the historical 2026-07-15
    "autotuning ruled out" A/B never actually flipped autotune — both runs were

jax_compile/trace_profile.py

@@ -35,7 +35,7 @@
 
 LIBRARY_KEYS = (
     "autofit",
-    "autoconf",
+    "autonerves",
     "autoarray",
     "autogalaxy",
     "autolens",

latent/imaging/effective_einstein_radius.py

@@ -36,9 +36,9 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
-from autoconf import conf
 from autolens import fixtures
 from autolens.analysis.latent import LATENT_FUNCTIONS
+from autonerves import conf
 
 if _os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports OK; exiting.")

latent/imaging/magnification.py

@@ -30,9 +30,9 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
-from autoconf import conf
 from autolens import fixtures
 from autolens.analysis.latent import LATENT_FUNCTIONS
+from autonerves import conf
 
 if _os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports OK; exiting.")

latent/imaging/total_lens_flux_mujy.py

@@ -29,9 +29,9 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
-from autoconf import conf
 from autolens import fixtures
 from autolens.analysis.latent import LATENT_FUNCTIONS
+from autonerves import conf
 
 if _os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports OK; exiting.")

latent/imaging/total_lensed_source_flux_mujy.py

@@ -30,9 +30,9 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
-from autoconf import conf
 from autolens import fixtures
 from autolens.analysis.latent import LATENT_FUNCTIONS
+from autonerves import conf
 
 if _os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports OK; exiting.")

latent/imaging/total_source_flux_mujy.py

@@ -32,9 +32,9 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
-from autoconf import conf
 from autolens import fixtures
 from autolens.analysis.latent import LATENT_FUNCTIONS
+from autonerves import conf
 
 if _os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports OK; exiting.")

pipeline_resume/slam_resume.py

@@ -61,8 +61,8 @@
 
 # jax_wrapper must import before autofit/autolens (it sets the JAX env).
 # isort: off
-from autoconf import jax_wrapper  # noqa: F401, E402
-from autoconf.test_mode import test_mode_level, with_test_mode_segment  # noqa: E402
+from autonerves import jax_wrapper  # noqa: F401, E402
+from autonerves.test_mode import test_mode_level, with_test_mode_segment  # noqa: E402
 
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402

quick_update/imaging.py

@@ -29,7 +29,7 @@
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402
 import numpy as np  # noqa: E402
-from autoconf import jax_wrapper  # noqa: E402
+from autonerves import jax_wrapper  # noqa: E402
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 

quick_update/imaging_delaunay.py

@@ -34,7 +34,7 @@
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402
 import numpy as np  # noqa: E402
-from autoconf import jax_wrapper  # noqa: E402
+from autonerves import jax_wrapper  # noqa: E402
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 

quick_update/interferometer.py

@@ -26,7 +26,7 @@
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402
 import numpy as np  # noqa: E402
-from autoconf import jax_wrapper  # noqa: E402
+from autonerves import jax_wrapper  # noqa: E402
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 

quick_update/interferometer_delaunay.py

@@ -26,7 +26,7 @@
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402
 import numpy as np  # noqa: E402
-from autoconf import jax_wrapper  # noqa: E402
+from autonerves import jax_wrapper  # noqa: E402
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 

quick_update/point_source.py

@@ -26,8 +26,8 @@
 import autofit as af  # noqa: E402
 import autolens as al  # noqa: E402
 import numpy as np  # noqa: E402
-from autoconf import jax_wrapper  # noqa: E402
-from autoconf.dictable import from_dict  # noqa: E402
+from autonerves import jax_wrapper  # noqa: E402
+from autonerves.dictable import from_dict  # noqa: E402
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 

results/runtime/datacube/shared_preloads_sma_local_cpu_fp64.stdout

@@ -1,10 +1,10 @@
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:206: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs/autolens_profiling is compatible with the installed library version (2026.7.6.649): no `version.minimum_library_version` or `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:206: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs/autolens_profiling is compatible with the installed library version (2026.7.6.649): no `version.minimum_library_version` or `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 
 You can also set the environment variable PYAUTO_SKIP_WORKSPACE_VERSION_CHECK=1 to disable temporarily.
   warnings.warn(_missing_version_warning(root, library_version))
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:206: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs/autolens_profiling is compatible with the installed library version (2026.7.6.649): no `version.minimum_library_version` or `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:206: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs/autolens_profiling is compatible with the installed library version (2026.7.6.649): no `version.minimum_library_version` or `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 

results/runtime/imaging/stdout_captures/pixelization_local_cpu_fp64_dense.stdout

@@ -1,11 +1,11 @@
 2026-06-01 11:48:55,318 - jax_plugins.xla_cuda12 - WARNING - cuda_plugin_extension is not found.
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 
 You can also set the environment variable PYAUTO_SKIP_WORKSPACE_VERSION_CHECK=1 to disable temporarily.
   warnings.warn(_missing_version_warning(root, library_version))
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 

results/runtime/imaging/stdout_captures/pixelization_local_cpu_fp64_sparse.stdout

@@ -1,11 +1,11 @@
 2026-06-01 11:49:01,448 - jax_plugins.xla_cuda12 - WARNING - cuda_plugin_extension is not found.
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 
 You can also set the environment variable PYAUTO_SKIP_WORKSPACE_VERSION_CHECK=1 to disable temporarily.
   warnings.warn(_missing_version_warning(root, library_version))
-/home/jammy/Code/PyAutoLabs/PyAutoConf/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
+/home/jammy/Code/PyAutoLabs/PyAutoNerves/autoconf/workspace.py:173: UserWarning: Cannot verify the workspace at /home/jammy/Code/PyAutoLabs-wt/sparse-vs-dense-profile/autolens_profiling matches the installed library version (2026.5.29.4): no `version.workspace_version` key in config/general.yaml and no version.txt at the workspace root.
 
 If you cloned the workspace from `main` rather than a release tag, set `version.workspace_version_check: False` in config/general.yaml to silence this warning. The `main` branch updates more frequently than library releases, so version mismatches are expected and not actionable for `main`-branch users.
 

searches/sweep.py

@@ -40,7 +40,7 @@
 
 _REPO_ROOT = Path(__file__).resolve().parents[1]  # autolens_profiling/
 _DEFAULT_OUTPUT_ROOT = _REPO_ROOT / "results" / "searches"
-# PyAutoFit's autoconf ``output_path`` defaults to ``<cwd>/output``. The
+# PyAutoFit's autonerves ``output_path`` defaults to ``<cwd>/output``. The
 # searches package writes search state under ``<output_path>/searches/...``
 # via the ``path_prefix`` set in ``_samplers.build_nautilus``. Wiping this
 # subtree before a (cell, config) run is what gives honest timing — see the
@@ -187,7 +187,7 @@ def _parse_args() -> argparse.Namespace:
         help=(
             f"Where PyAutoFit writes its own per-search output (samples.csv, "
             f"search.summary, visualization). Default: "
-            f"{_DEFAULT_SEARCH_OUTPUT_ROOT}. Must match the autoconf "
+            f"{_DEFAULT_SEARCH_OUTPUT_ROOT}. Must match the autonerves "
             f"``output_path`` + ``searches/`` prefix used by the leaf scripts."
         ),
     )

simulators/cluster.py

@@ -36,7 +36,7 @@
 import jax.numpy as jnp
 import matplotlib
 import numpy as np
-from autoconf import jax_wrapper  # noqa: F401 — must be first
+from autonerves import jax_wrapper  # noqa: F401 — must be first
 
 if _smoke_os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports + module setup OK; exiting.")

simulators/group.py

@@ -32,7 +32,7 @@
 import jax.numpy as jnp
 import matplotlib
 import numpy as np
-from autoconf import jax_wrapper  # noqa: F401 — must be first
+from autonerves import jax_wrapper  # noqa: F401 — must be first
 
 if _smoke_os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
     print(f"[smoke] {__file__}: imports + module setup OK; exiting.")

simulators/imaging.py

@@ -340,7 +340,7 @@ def _image_fn(grid_array):
     import os
     import sys
 
-    from autoconf import jax_wrapper  # noqa: F401
+    from autonerves import jax_wrapper  # noqa: F401
 
     if os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":
         print(f"[smoke] {__file__}: imports + module setup OK; exiting.")

simulators/interferometer.py

@@ -357,15 +357,15 @@ def _image_fn(grid_array):
 
 
 if __name__ == "__main__":
-    # autoconf.jax_wrapper must be imported first (sets up env before jax
+    # autonerves.jax_wrapper must be imported first (sets up env before jax
     # actually loads). Doing it here rather than at module level keeps the
     # module import side-effect-free for likelihood scripts that pull
-    # ``INSTRUMENTS`` without wanting to trigger the autoconf shim.
+    # ``INSTRUMENTS`` without wanting to trigger the autonerves shim.
     import argparse
     import os
     import sys
 
-    from autoconf import jax_wrapper  # noqa: F401
+    from autonerves import jax_wrapper  # noqa: F401
 
     # Smoke gate — only meaningful when running as a script, not on import.
     if os.environ.get("AUTOLENS_PROFILING_SMOKE") == "1":