Merge pull request #462 from PyAutoLabs/feature/rectangular-bilinear-rtu-mesh-split

feat: split rectangular adaptive meshes — Bilinear (rank-CDF) vs RTU (kernel-CDF)

Author: Jammy2211

autoarray/exc.py

@@ -72,7 +72,7 @@ class MeshException(Exception):
     """
     Raises exceptions associated with the `inversion/mesh` modules and `Mesh` classes.
 
-    For example if a `RectangularAdaptDensity` mesh has dimensions below 3x3.
+    For example if a `RectangularRTUAdaptDensity` mesh has dimensions below 3x3.
     """
 
     pass

autoarray/fixtures.py

@@ -368,7 +368,7 @@ def make_border_relocator_2d_7x7():
 
 def make_rectangular_mapper_7x7_3x3():
 
-    from autoarray.inversion.mesh.mesh.rectangular_adapt_density import (
+    from autoarray.inversion.mesh.mesh.rectangular_rtu_adapt_density import (
         overlay_grid_from,
     )
 

autoarray/inversion/inversion/abstract.py

@@ -174,8 +174,8 @@ def cls_list_from(self, cls: Type, cls_filtered: Optional[Type] = None) -> List:
 
         - If the input is `cls=aa.mesh.Mesh`, a list containing all pixelizations in the class are returned.
 
-        - If `cls=aa.mesh.Mesh` and `cls_filtered=aa.mesh.RectangularAdaptDensity`, a list of all pixelizations
-        excluding those which are `RectangularAdaptDensity` pixelizations will be returned.
+        - If `cls=aa.mesh.Mesh` and `cls_filtered=aa.mesh.RectangularRTUAdaptDensity`, a list of all pixelizations
+        excluding those which are `RectangularRTUAdaptDensity` pixelizations will be returned.
 
         Parameters
         ----------

autoarray/inversion/linear_obj/neighbors.py

@@ -4,14 +4,14 @@
 class Neighbors(np.ndarray):
     def __new__(cls, arr: np.ndarray, sizes: np.ndarray):
         """
-        Class packaging ndarrays describing the neighbors of every pixel in a mesh (e.g. `RectangularAdaptDensity`).
+        Class packaging ndarrays describing the neighbors of every pixel in a mesh (e.g. `RectangularRTUAdaptDensity`).
 
         The array `arr` contains the pixel indexes of the neighbors of every pixel. Its has shape [total_pixels,
         max_neighbors_in_single_pixel].
 
         The array `sizes` contains the number of neighbors of every pixel in the pixelixzation.
 
-        For example, for a 3x3 `RectangularAdaptDensity` grid:
+        For example, for a 3x3 `RectangularRTUAdaptDensity` grid:
 
         - `total_pixels=9` and `max_neighbors_in_single_pixel=4` (because the central pixel has 4 neighbors whereas
           edge / corner pixels have 3 and 2).

autoarray/inversion/mesh/interpolator/delaunay.py

@@ -786,10 +786,10 @@ def _mappings_sizes_weights(self):
         The `sub_slim_index` refers to the masked data sub-pixels and `pix_indexes` the pixelization pixel indexes,
         for example:
 
-        - `pix_indexes_for_sub_slim_index[0, 0] = 2`: The data's first (index 0) sub-pixel maps to the RectangularAdaptDensity
+        - `pix_indexes_for_sub_slim_index[0, 0] = 2`: The data's first (index 0) sub-pixel maps to the RectangularRTUAdaptDensity
         pixelization's third (index 2) pixel.
 
-        - `pix_indexes_for_sub_slim_index[2, 0] = 4`: The data's third (index 2) sub-pixel maps to the RectangularAdaptDensity
+        - `pix_indexes_for_sub_slim_index[2, 0] = 4`: The data's third (index 2) sub-pixel maps to the RectangularRTUAdaptDensity
         pixelization's fifth (index 4) pixel.
 
         The second dimension of the array `pix_indexes_for_sub_slim_index`, which is 0 in both examples above, is used