black

Author: Jammy2211

autoarray/inversion/inversion/abstract.py

@@ -464,7 +464,10 @@ def reconstruction(self) -> np.ndarray:
             And the data_vector = ZTx, so the corresponding row is also taken out.
             """
 
-            if self.has(cls=AbstractMapper) and self.settings.force_edge_pixels_to_zeros:
+            if (
+                self.has(cls=AbstractMapper)
+                and self.settings.force_edge_pixels_to_zeros
+            ):
 
                 ids_zeros = jnp.array(self.mapper_edge_pixel_list, dtype=int)
 

autoarray/inversion/inversion/imaging/w_tilde.py

@@ -440,7 +440,7 @@ def _curvature_matrix_func_list_and_mapper(self) -> np.ndarray:
                     data_weights=mapper.unique_mappings.data_weights,
                     pix_lengths=mapper.unique_mappings.pix_lengths,
                     pix_pixels=mapper.params,
-                    curvature_weights=curvature_weights,
+                    curvature_weights=np.array(curvature_weights),
                     image_frame_1d_lengths=self.convolver.image_frame_1d_lengths,
                     image_frame_1d_indexes=self.convolver.image_frame_1d_indexes,
                     image_frame_1d_kernels=self.convolver.image_frame_1d_kernels,

autoarray/inversion/inversion/interferometer/mapping.py

@@ -152,7 +152,9 @@ def mapped_reconstructed_data_dict(
 
             visibilities = (
                 inversion_interferometer_util.mapped_reconstructed_visibilities_from(
-                    transformed_mapping_matrix=np.array(operated_mapping_matrix_list[index]),
+                    transformed_mapping_matrix=np.array(
+                        operated_mapping_matrix_list[index]
+                    ),
                     reconstruction=np.array(reconstruction),
                 )
             )

autoarray/inversion/inversion/inversion_util.py

@@ -72,11 +72,12 @@ def curvature_matrix_with_added_to_diag_from(
             no_regularization_index_list=no_regularization_index_list,
         )
 
+
 @numba_util.jit()
 def curvature_matrix_with_added_to_diag_from_numba(
-        curvature_matrix: np.ndarray,
-        value: float,
-        no_regularization_index_list: Optional[List] = None,
+    curvature_matrix: np.ndarray,
+    value: float,
+    no_regularization_index_list: Optional[List] = None,
 ) -> np.ndarray:
     """
     It is common for the `curvature_matrix` computed to not be positive-definite, leading for the inversion

autoarray/inversion/pixelization/mappers/voronoi.py

@@ -172,5 +172,8 @@ def interpolated_array_from(
             is input.
         """
         return self.source_plane_mesh_grid.interpolated_array_from(
-            values=np.array(values), shape_native=shape_native, extent=extent, use_nn=True
+            values=np.array(values),
+            shape_native=shape_native,
+            extent=extent,
+            use_nn=True,
         )