settings inversio passed to PLaneToInversion

autolens/lens/to_inversion.py

@@ -72,6 +72,7 @@ def lp_linear_func_list_galaxy_dict(
                 grid=traced_grids_of_planes_list[plane_index],
                 blurring_grid=traced_blurring_grids_of_planes_list[plane_index],
                 noise_map=self.noise_map,
+                settings_inversion=self.settings_inversion,
             )
 
             lp_linear_galaxy_dict_of_plane = (
@@ -110,6 +111,7 @@ def image_plane_mesh_grid_pg_list(self) -> List[List]:
                 plane=plane,
                 grid_pixelization=self.dataset.grid,
                 noise_map=self.noise_map,
+                settings_inversion=self.settings_inversion,
             )
 
             image_plane_mesh_grid_list = plane_to_inversion.image_plane_mesh_grid_list
@@ -182,6 +184,7 @@ def mapper_galaxy_dict(self) -> Dict[aa.AbstractMapper, ag.Galaxy]:
                     grid_pixelization=traced_grids_of_planes_list[plane_index],
                     preloads=self.preloads,
                     noise_map=self.noise_map,
+                    settings_inversion=self.settings_inversion,
                 )
 
                 galaxies_with_pixelization_list = plane.galaxies_with_cls_list_from(

test_autolens/analysis/test_analysis.py

@@ -119,6 +119,7 @@ def test__relocate_pix_border__determines_if_border_pixel_relocation_is_used(mas
 
     analysis = al.AnalysisImaging(
         dataset=masked_imaging_7x7,
+        settings_inversion=al.SettingsInversion(relocate_pix_border=False),
     )
 
     analysis.dataset.grid_pixelization[4] = np.array([300.0, 0.0])

test_autolens/config/general.yaml

@@ -16,7 +16,6 @@ inversion:
   use_positive_only_solver: false    # If True, inversion's use a positive-only linear algebra solver by default, which is slower but prevents unphysical negative values in the reconstructed solutuion.
   no_regularization_add_to_curvature_diag_value: 1.0e-8 # The default value added to the curvature matrix's diagonal when regularization is not applied to a linear object, which prevents inversion's failing due to the matrix being singular.
   positive_only_uses_p_initial: false  # If True, the positive-only solver of an inversion's uses an initial guess of the reconstructed data's values as which values should be positive, speeding up the solver.
-  relocate_pix_border: false          # If True, by default a pixelization's border is used to relocate all pixels outside its border to the border.
 model:
   ignore_prior_limits: true
 numba: