more informatie error

autoarray/config/general.yaml

@@ -10,7 +10,7 @@ numba:
   nopython: true
   parallel: false
 pixelization:
-  voronoi_nn_max_interpolation_neighbors: 100
+  voronoi_nn_max_interpolation_neighbors: 300
 structures:
   native_binned_only: false           # If True, data structures are only stored in their native and binned format. This is used to reduce memory usage in autocti.
 test:

autoarray/exc.py

@@ -18,6 +18,16 @@ class ArrayException(Exception):
     pass
 
 
+
+class ConfigException(Exception):
+    """
+    Raises exceptions associated with the `structures/array` modules and `Array` classes.
+
+    For example if a 2D array's shape and its corresponding 2D mask shape do not match.
+    """
+
+    pass
+
 class GridException(Exception):
     """
     Raises exceptions associated with the `structures/grid` modules and `Grid` classes.

autoarray/plot/mat_plot/two_d.py

@@ -241,7 +241,7 @@ def plot_array(
         # so that if a mask is irregular and zooming in creates white edges, that instead it doesnt have the eddge.
         # This could just be a matplotlib settings to change the edge color?
 
-        # array = array.resized_from(new_shape=(401, 401))
+#        array = array.resized_from(new_shape=(401, 401))
 
         if array.mask.is_all_false:
             buffer = 0
@@ -338,14 +338,14 @@ def plot_array(
             )
             self.colorbar_tickparams.set(cb=cb)
 
-        # levels = np.logspace(np.log10(0.3), np.log10(20.0), 10)
-        # plt.contour(
-        #   #  array.mask.derive_grid.unmasked_sub_1,
-        #     array.native[::-1],
-        #     levels=levels,
-        #     colors="black",
-        #     extent=extent,
-        # )
+        levels = np.logspace(np.log10(0.3), np.log10(20.0), 10)
+        plt.contour(
+          #  array.mask.derive_grid.unmasked_sub_1,
+            array.native[::-1],
+            levels=levels,
+            colors="black",
+            extent=extent,
+        )
 
         grid_indexes = None
 

autoarray/structures/structure_decorators.py

@@ -542,9 +542,35 @@ def wrapper(
             The grid_like object whose coordinates are radially moved from (0.0, 0.0).
         """
 
-        grid_radial_minimum = conf.instance["grids"]["radial_minimum"][
-            "radial_minimum"
-        ][cls.__class__.__name__]
+        try:
+            grid_radial_minimum = conf.instance["grids"]["radial_minimum"][
+                "radial_minimum"
+            ][cls.__class__.__name__]
+        except KeyError as e:
+            print(
+                fr"""
+                The {cls.__class__.__name__} profile you are using does not have a corresponding
+                entry in the `config/grid.yaml` config file.
+                
+                When a profile is evaluated at (0.0, 0.0), they commonly break due to numericalinstabilities (e.g. 
+                division by zero). To prevent this, the code relocates the (y,x) coordinates of the grid to a 
+                minimum radial value, specified in the `config/grids.yaml` config file.
+                
+                For example, if the value in `grid.yaml` is `radial_minimum: 1e-6`, then any (y,x) coordinates
+                with a radial distance less than 1e-6 to (0.0, 0.0) are relocated to 1e-6.
+                
+                For a profile to be used it must have an entry in the `config/grids.yaml` config file. Go to this
+                file now and add your profile to the `radial_minimum` section. Adopting a value of 1e-6 is a good
+                default choice.
+                
+                If you are going to make a pull request to add your profile to the source code, you should also
+                add an entry to the `config/grids.yaml` config file of the source code itself
+                (e.g. `PyAutoGalaxy/autogalaxy/config/grids.yaml`).
+                """
+            )
+
+            import sys
+            sys.exit(1)
 
         with np.errstate(all="ignore"):  # Division by zero fixed via isnan
             grid_radii = cls.radial_grid_from(grid=grid)

test_autoarray/config/general.yaml

@@ -29,7 +29,7 @@ output:
   model_results_every_update: 100
   remove_files: false
 pixelization:
-  voronoi_nn_max_interpolation_neighbors: 100
+  voronoi_nn_max_interpolation_neighbors: 300
 profiling:
   perform: false
   repeats: 1