remove edge_pixel_list throughotu soruce code

Author: Jammy2211

autoarray/inversion/inversion/abstract.py

@@ -200,33 +200,6 @@ def all_linear_obj_have_regularization(self) -> bool:
             list(filter(None, self.regularization_list))
         )
 
-    @property
-    def mapper_edge_pixel_list(self) -> List[int]:
-        """
-        Returns the edge pixels of all mappers in the inversion.
-
-        This uses the `edge_pixel_list` property of the `Mesh` of the `Mapper` class, and updates their values to
-        correspond to the indexing of the overall inversion's `curvature_matrix`.
-
-        This is used to regulareze the edge pixels of the inversion's `reconstruction` or remove them from the
-        inversion procedure entirely (e.g. make these values of these edge pixels zero).
-
-        Returns
-        -------
-        A list of the edge pixels of all mappers in the inversion, where the values are updated to correspond to the
-        indexing of the overall inversion's `curvature_matrix`.
-        """
-        mapper_edge_pixel_list = []
-
-        param_range_list = self.param_range_list_from(cls=LinearObj)
-
-        for param_range, linear_obj in zip(param_range_list, self.linear_obj_list):
-            if isinstance(linear_obj, AbstractMapper):
-                for edge_pixel in linear_obj.edge_pixel_list:
-                    mapper_edge_pixel_list.append(edge_pixel + param_range[0])
-
-        return mapper_edge_pixel_list
-
     @property
     def total_regularizations(self) -> int:
         return sum(

autoarray/inversion/mock/mock_mapper.py

@@ -14,7 +14,6 @@ def __init__(
         over_sampler=None,
         border_relocator=None,
         adapt_data=None,
-        edge_pixel_list=None,
         regularization=None,
         pix_sub_weights=None,
         pix_sub_weights_split_points=None,
@@ -37,7 +36,6 @@ def __init__(
         )
 
         self._over_sampler = over_sampler
-        self._edge_pixel_list = edge_pixel_list
         self._pix_sub_weights = pix_sub_weights
         self._pix_sub_weights_split_points = pix_sub_weights_split_points
         self._mapping_matrix = mapping_matrix
@@ -62,10 +60,6 @@ def over_sampler(self):
             return super().over_sampler
         return self._over_sampler
 
-    @property
-    def edge_pixel_list(self):
-        return self._edge_pixel_list
-
     @property
     def pix_sub_weights(self):
         return self._pix_sub_weights

autoarray/inversion/pixelization/mappers/abstract.py

@@ -113,10 +113,6 @@ def image_plane_mesh_grid(self) -> Grid2D:
     def over_sampler(self):
         return self.mapper_grids.source_plane_data_grid.over_sampler
 
-    @property
-    def edge_pixel_list(self) -> List[int]:
-        return self.source_plane_mesh_grid.edge_pixel_list
-
     @property
     def adapt_data(self) -> np.ndarray:
         return self.mapper_grids.adapt_data

autoarray/inversion/pixelization/mesh/mesh_numba_util.py

@@ -122,24 +122,3 @@ def delaunay_interpolated_array_from(
             interpolated_array[slim_index] = np.sum(weight_abc * triangle_values)
 
     return interpolated_array.reshape(shape_native)
-
-
-def voronoi_edge_pixels_from(regions: np.ndarray, point_region: np.ndarray) -> List:
-    """
-    Returns the edge pixels of a Voronoi mesh, where the edge pixels are defined as those pixels which are on the
-    edge of the Voronoi diagram.
-
-    Parameters
-    ----------
-    regions
-        Indices of the Voronoi vertices forming each Voronoi region, where -1 indicates vertex outside the Voronoi
-        diagram.
-    """
-
-    voronoi_edge_pixel_list = []
-
-    for index, i in enumerate(point_region):
-        if -1 in regions[i]:
-            voronoi_edge_pixel_list.append(index)
-
-    return voronoi_edge_pixel_list

autoarray/structures/mesh/delaunay_2d.py

@@ -439,15 +439,6 @@ def voronoi(self) -> "scipy.spatial.Voronoi":
         except (ValueError, OverflowError, QhullError) as e:
             raise exc.MeshException() from e
 
-    @property
-    def edge_pixel_list(self) -> List:
-        """
-        Returns a list of the Voronoi pixel indexes that are on the edge of the mesh.
-        """
-        return mesh_numba_util.voronoi_edge_pixels_from(
-            regions=self.voronoi.regions, point_region=self.voronoi.point_region
-        )
-
     def interpolated_array_from(
         self,
         values: np.ndarray,

autoarray/structures/mesh/rectangular_2d.py

@@ -129,12 +129,6 @@ def neighbors(self) -> Neighbors:
 
         return Neighbors(arr=neighbors.astype("int"), sizes=sizes.astype("int"))
 
-    @property
-    def edge_pixel_list(self) -> List:
-        return mesh_util.rectangular_edge_pixel_list_from(
-            shape_native=self.shape_native
-        )
-
     @property
     def pixels(self) -> int:
         """