default relocate_pix_border value now comes from config

autoarray/config/general.yaml

@@ -3,6 +3,7 @@ inversion:
   use_positive_only_solver: true      # 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-3 # 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: true  # 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.
   reconstruction_vmax_factor: 0.5     # Plots of an Inversion's reconstruction use the reconstructed data's bright value multiplied by this factor.
 numba:
   use_numba: true

autoarray/inversion/inversion/settings.py

@@ -13,7 +13,7 @@ def __init__(
         use_w_tilde: bool = True,
         use_positive_only_solver: Optional[bool] = None,
         positive_only_uses_p_initial: Optional[bool] = None,
-        relocate_pix_border : bool = True,
+        relocate_pix_border : Optional[bool] = None,
         force_edge_pixels_to_zeros: bool = True,
         force_edge_image_pixels_to_zeros: bool = False,
         image_pixels_source_zero=None,
@@ -64,7 +64,7 @@ def __init__(
         self.use_w_tilde = use_w_tilde
         self._use_positive_only_solver = use_positive_only_solver
         self._positive_only_uses_p_initial = positive_only_uses_p_initial
-        self.relocate_pix_border = relocate_pix_border
+        self._relocate_pix_border = relocate_pix_border
         self.use_linear_operators = use_linear_operators
         self.force_edge_pixels_to_zeros = force_edge_pixels_to_zeros
         self.force_edge_image_pixels_to_zeros = force_edge_image_pixels_to_zeros
@@ -91,6 +91,14 @@ def positive_only_uses_p_initial(self):
 
         return self._positive_only_uses_p_initial
 
+    @property
+    def relocate_pix_border(self):
+
+        if self._relocate_pix_border is None:
+            return conf.instance["general"]["inversion"]["relocate_pix_border"]
+
+        return self._relocate_pix_border
+
     @property
     def no_regularization_add_to_curvature_diag_value(self):
         if self._no_regularization_add_to_curvature_diag_value is None:

test_autoarray/inversion/pixelization/mesh/test_triangulation.py

@@ -1,7 +1,6 @@
-import autoarray as aa
-import numpy as np
 import pytest
 
+import autoarray as aa
 
 def test___preloads_used_for_relocated_grid(sub_grid_2d_7x7):
     mesh = aa.mesh.Delaunay()