refactor!: depend on and import autonerves (renamed from autoconf)

Update the pyproject dependency pins and all `import autoconf` / `from autoconf`
statements (including the config re-export block) to the renamed package
`autonerves`. Repo-name references ("PyAutoConf") are unchanged — they flip with
the GitHub repo rename in the coordinated cutover.

BREAKING CHANGE: this library now requires `autonerves` instead of `autoconf`.
CI resolves it from the same-named PyAutoConf branch (built as autonerves).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013ciVftxvYpefh59wSkR7jN

Author: claude

AGENTS.md

@@ -10,9 +10,9 @@ numerical-utility layer: masks, arrays, (y,x) grids, imaging/interferometer
 datasets, inversions/pixelizations, convolution/over-sampling operators, and
 the grid decorators used throughout PyAutoGalaxy and PyAutoLens.
 
-Dependency direction: autoarray depends on **autoconf** only. It does **not**
+Dependency direction: autoarray depends on **autonerves** only. It does **not**
 import `autofit`, `autogalaxy`, or `autolens` — never add such an import.
-Shared utilities (e.g. `test_mode`, `jax_wrapper`) belong in autoconf.
+Shared utilities (e.g. `test_mode`, `jax_wrapper`) belong in autonerves.
 
 ## Related repos
 
@@ -55,7 +55,7 @@ is no black/ruff/flake8 gate — formatting is advisory. (`requires-python` in
 
 ## Configuration & defaults
 
-autoconf supplies the packaged defaults under `autoarray/config/`. Workspaces
+autonerves supplies the packaged defaults under `autoarray/config/`. Workspaces
 override them via their own `config/` directory; the test suite pushes a local
 config dir via `conf.instance.push(...)` in `test_autoarray/conftest.py`. When
 a change adds a new config key, mirror it into the packaged defaults so
@@ -97,7 +97,7 @@ from `AbstractNDArray`; `.array` returns the raw `numpy.ndarray` / `jax.Array`.
 
 ## Key rules / footguns
 
-- Import direction: autoconf only — never `autofit` / `autogalaxy` / `autolens`.
+- Import direction: autonerves only — never `autofit` / `autogalaxy` / `autolens`.
 - Grid-consuming functions decorated with `@aa.decorators.to_array` / `to_grid`
   / `to_vector_yx` must return a **raw array** — the decorator wraps it. (Write
   `aa.decorators.*`; `aa.grid_dec` is a deprecated alias.)

autoarray/__init__.py

@@ -1,6 +1,6 @@
-from autoconf import jax_wrapper
-from autoconf.dictable import register_parser
-from autoconf import conf
+from autonerves import jax_wrapper
+from autonerves.dictable import register_parser
+from autonerves import conf
 
 conf.instance.register(__file__)
 
@@ -97,40 +97,40 @@
 from .structures.visibilities import Visibilities
 from .structures.visibilities import VisibilitiesNoiseMap
 
-from autoconf import conf
-from autoconf.fitsable import ndarray_via_hdu_from
-from autoconf.fitsable import ndarray_via_fits_from
-from autoconf.fitsable import header_obj_from
-from autoconf.fitsable import output_to_fits
-from autoconf.fitsable import hdu_list_for_output_from
+from autonerves import conf
+from autonerves.fitsable import ndarray_via_hdu_from
+from autonerves.fitsable import ndarray_via_fits_from
+from autonerves.fitsable import header_obj_from
+from autonerves.fitsable import output_to_fits
+from autonerves.fitsable import hdu_list_for_output_from
 
 conf.instance.register(__file__)
 
 __version__ = "2026.7.9.1"
 
 # ---------------------------------------------------------------------------
-# Public re-export of the autoconf configuration / serialization surface.
+# Public re-export of the autonerves configuration / serialization surface.
 #
 # Workspaces, tutorials and downstream code import these names from the science
 # library (e.g. ``from autolens import conf``) rather than depending on the
-# ``autoconf`` package directly, so the underlying configuration / serialization
+# ``autonerves`` package directly, so the underlying configuration / serialization
 # layer stays an implementation detail of the library.
 # ---------------------------------------------------------------------------
-from autoconf import conf
-from autoconf import jax_wrapper
-from autoconf import fitsable
-from autoconf import setup_colab
-from autoconf import setup_notebook
-from autoconf.conf import with_config
-from autoconf.dictable import from_dict, from_json, to_dict, output_to_json
-from autoconf.fitsable import (
+from autonerves import conf
+from autonerves import jax_wrapper
+from autonerves import fitsable
+from autonerves import setup_colab
+from autonerves import setup_notebook
+from autonerves.conf import with_config
+from autonerves.dictable import from_dict, from_json, to_dict, output_to_json
+from autonerves.fitsable import (
     output_to_fits,
     hdu_list_for_output_from,
     ndarray_via_fits_from,
     ndarray_via_hdu_from,
     header_obj_from,
 )
-from autoconf.test_mode import (
+from autonerves.test_mode import (
     with_test_mode_segment,
     skip_visualization,
     skip_fit_output,

autoarray/abstract_ndarray.py

@@ -14,7 +14,7 @@
 if TYPE_CHECKING:
     from autoarray.structures.abstract_structure import Structure
 
-from autoconf import conf
+from autonerves import conf
 
 
 def to_new_array(func):
@@ -66,7 +66,7 @@ def wrapper(self, other):
 
 
 def _register_as_pytree(cls):
-    """Register ``cls`` with ``jax.tree_util`` via the lazy autoconf wrapper.
+    """Register ``cls`` with ``jax.tree_util`` via the lazy autonerves wrapper.
 
     Gated: only called when a subclass instance is constructed on the JAX path
     (``xp is not np``). The registration is class-scoped via
@@ -75,7 +75,7 @@ def _register_as_pytree(cls):
     """
     if cls in _pytree_registered_classes:
         return
-    from autoconf.jax_wrapper import register_pytree_node
+    from autonerves.jax_wrapper import register_pytree_node
 
     register_pytree_node(cls, cls.instance_flatten, cls.instance_unflatten)
     _pytree_registered_classes.add(cls)
@@ -101,8 +101,8 @@ def register_instance_pytree(cls, no_flatten=()):
     """
     if cls in _pytree_registered_classes:
         return
-    from autoconf.jax_wrapper import register_pytree_node
-    from autoconf.tools.decorators import cached_property_names
+    from autonerves.jax_wrapper import register_pytree_node
+    from autonerves.tools.decorators import cached_property_names
 
     # Extend the caller-supplied no_flatten set with every
     # ``cached_property``-style descriptor on ``cls`` so derived caches
@@ -180,7 +180,7 @@ def instance_flatten(cls, instance):
         """
         Flatten an instance of an autoarray class into a tuple of its attributes (i.e.. a pytree)
         """
-        from autoconf.tools.decorators import cached_property_names
+        from autonerves.tools.decorators import cached_property_names
 
         # Union the class-level ``__no_flatten__`` opt-out with any
         # ``cached_property`` descriptor names so derived caches don't

autoarray/dataset/interferometer/dataset.py

@@ -2,8 +2,8 @@
 import numpy as np
 from typing import Optional
 
-from autoconf.fitsable import ndarray_via_fits_from
-from autoconf import cached_property
+from autonerves.fitsable import ndarray_via_fits_from
+from autonerves import cached_property
 
 from autoarray.dataset.abstract.dataset import AbstractDataset
 from autoarray.dataset.grids import GridsDataset

autoarray/dataset/plot/imaging_plots.py

@@ -219,7 +219,7 @@ def fits_imaging(
     overwrite : bool
         If ``True`` existing files are replaced.
     """
-    from autoconf.fitsable import output_to_fits, hdu_list_for_output_from, write_hdu_list
+    from autonerves.fitsable import output_to_fits, hdu_list_for_output_from, write_hdu_list
 
     header_dict = dataset.data.mask.header_dict if hasattr(dataset.data.mask, "header_dict") else None
 

autoarray/dataset/plot/interferometer_plots.py

@@ -177,7 +177,7 @@ def fits_interferometer(
     overwrite : bool
         If ``True`` existing files are replaced.
     """
-    from autoconf.fitsable import output_to_fits, hdu_list_for_output_from, write_hdu_list
+    from autonerves.fitsable import output_to_fits, hdu_list_for_output_from, write_hdu_list
 
     if file_path is not None:
         values_list = []

autoarray/inversion/inversion/abstract.py

@@ -3,7 +3,7 @@
 import numpy as np
 from typing import Dict, List, Optional, Type, Union
 
-from autoconf import cached_property, is_test_mode
+from autonerves import cached_property, is_test_mode
 
 from autoarray.dataset.imaging.dataset import Imaging
 from autoarray.dataset.interferometer.dataset import Interferometer

autoarray/inversion/inversion/imaging/mapping.py

@@ -1,7 +1,7 @@
 import numpy as np
 from typing import Dict, List, Optional, Union
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.dataset.imaging.dataset import Imaging
 from autoarray.inversion.inversion.dataset_interface import DatasetInterface

autoarray/inversion/inversion/imaging/sparse.py

@@ -1,7 +1,7 @@
 import numpy as np
 from typing import Dict, List, Optional, Union
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.dataset.imaging.dataset import Imaging
 from autoarray.inversion.inversion.dataset_interface import DatasetInterface

autoarray/inversion/inversion/imaging_numba/sparse.py

@@ -1,7 +1,7 @@
 import numpy as np
 from typing import Dict, List, Optional, Union
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.dataset.imaging.dataset import Imaging
 from autoarray.inversion.inversion.dataset_interface import DatasetInterface