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

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

autoarray/inversion/inversion/inversion_util.py

@@ -2,7 +2,7 @@
 
 from typing import List, Optional, Type
 
-from autoconf import is_test_mode
+from autonerves import is_test_mode
 
 from autoarray.settings import Settings
 
@@ -288,7 +288,7 @@ def reconstruction_positive_only_from(
     """
     if xp.__name__.startswith("jax"):
 
-        from autoconf import conf
+        from autonerves import conf
 
         from autoarray.util.jax_nnls import solve_nnls_primal
 

autoarray/inversion/linear_obj/func_list.py

@@ -1,7 +1,7 @@
 import numpy as np
 from typing import Optional
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.linear_obj.linear_obj import LinearObj
 from autoarray.inversion.linear_obj.neighbors import Neighbors

autoarray/inversion/mappers/abstract.py

@@ -2,8 +2,8 @@
 import numpy as np
 from typing import List, Optional, Tuple
 
-from autoconf import conf
-from autoconf import cached_property
+from autonerves import conf
+from autonerves import cached_property
 
 from autoarray.inversion.linear_obj.linear_obj import LinearObj
 from autoarray.inversion.linear_obj.func_list import UniqueMappings

autoarray/inversion/mesh/border_relocator.py

@@ -2,7 +2,7 @@
 import numpy as np
 from typing import Tuple, Union
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.mask.mask_2d import Mask2D
 from autoarray.structures.arrays.uniform_2d import Array2D

autoarray/inversion/mesh/image_mesh/hilbert.py

@@ -12,7 +12,7 @@
 from autoarray.structures.grids.irregular_2d import Grid2DIrregular
 
 from autoarray import exc
-from autoconf.test_mode import skip_checks
+from autonerves.test_mode import skip_checks
 
 
 def gilbert2d(width, height):

autoarray/inversion/mesh/interpolator/delaunay.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.abstract import AbstractInterpolator
 from autoarray.inversion.regularization.regularization_util import (

autoarray/inversion/mesh/interpolator/knn.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.delaunay import InterpolatorDelaunay
 

autoarray/inversion/mesh/interpolator/rectangular.py

@@ -1,7 +1,7 @@
 import numpy as np
 from functools import partial
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.abstract import AbstractInterpolator
 

autoarray/inversion/mesh/interpolator/rectangular_kernel.py

@@ -45,7 +45,7 @@
 from functools import partial
 from typing import Optional
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.rectangular import (
     InterpolatorRectangular,

autoarray/inversion/mesh/interpolator/rectangular_rotated_spline.py

@@ -14,7 +14,7 @@
 
 import numpy as np
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.rectangular_spline import (
     SPLINE_CDF_DEFAULT_DEG,

autoarray/inversion/mesh/interpolator/rectangular_spline.py

@@ -33,7 +33,7 @@
 
 import numpy as np
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.abstract import AbstractInterpolator
 from autoarray.inversion.mesh.interpolator.rectangular import InterpolatorRectangular

autoarray/inversion/mesh/interpolator/rectangular_uniform.py

@@ -1,7 +1,7 @@
 from typing import Tuple
 import numpy as np
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.inversion.mesh.interpolator.abstract import AbstractInterpolator
 from autoarray.geometry.geometry_2d import Geometry2D

autoarray/inversion/mesh/mesh_geometry/delaunay.py

@@ -2,7 +2,7 @@
 import scipy.spatial
 from typing import Tuple
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.geometry.geometry_2d_irregular import Geometry2DIrregular
 from autoarray.inversion.linear_obj.neighbors import Neighbors

autoarray/inversion/plot/inversion_plots.py

@@ -4,7 +4,7 @@
 from pathlib import Path
 from typing import Optional, Union
 
-from autoconf import conf
+from autonerves import conf
 
 from autoarray.inversion.mappers.abstract import Mapper
 from autoarray.plot.array import plot_array

autoarray/mask/mask_2d.py

@@ -6,15 +6,15 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Dict, List, Tuple, Union
 
-from autoconf import cached_property
+from autonerves import cached_property
 
 from autoarray.structures.abstract_structure import Structure
 
 if TYPE_CHECKING:
     from autoarray.structures.arrays.uniform_2d import Array2D
 
 
-from autoconf.fitsable import ndarray_via_fits_from
+from autonerves.fitsable import ndarray_via_fits_from
 
 from autoarray.mask.abstract_mask import Mask
 

autoarray/numba_util.py

@@ -1,6 +1,6 @@
 import logging
 
-from autoconf import conf
+from autonerves import conf
 
 
 logger = logging.getLogger(__name__)

autoarray/operators/convolver.py

@@ -10,7 +10,7 @@
 from typing import Optional, Tuple, Union
 import warnings
 
-from autoconf import conf
+from autonerves import conf
 from autoarray.structures.arrays.uniform_2d import Array2D
 from autoarray.structures.grids.uniform_2d import Grid2D
 

autoarray/operators/over_sampling/over_sampler.py

@@ -2,8 +2,8 @@
 
 from typing import Union
 
-from autoconf import conf
-from autoconf import cached_property
+from autonerves import conf
+from autonerves import cached_property
 
 from autoarray.mask.mask_2d import Mask2D
 from autoarray.structures.arrays.uniform_2d import Array2D

autoarray/plot/__init__.py

@@ -1,7 +1,7 @@
 def _set_backend():
     try:
         import matplotlib
-        from autoconf import conf
+        from autonerves import conf
 
         backend = conf.get_matplotlib_backend()
         if backend != "default":