Correct doc

pyiron_continuum/damask/factory.py

@@ -79,13 +79,11 @@ def origin(self, value):
 
     @staticmethod
     def via_voronoi_tessellation(spatial_discretization, num_grains, box_size):
-        if isinstance(spatial_discretization, int) or isinstance(
-            spatial_discretization, float
-        ):
+        if isinstance(spatial_discretization, (int, float)):
             spatial_discretization = np.array(
                 [spatial_discretization, spatial_discretization, spatial_discretization]
             )
-        if isinstance(box_size, int) or isinstance(box_size, float):
+        if isinstance(box_size, (int, float)):
             box_size = np.array([box_size, box_size, box_size])
         seed = seeds.from_random(box_size, num_grains)
         return GeomGrid.from_Voronoi_tessellation(

pyiron_continuum/toolkit.py

@@ -79,13 +79,13 @@ def Loading(solver, load_steps):
     def generate_loading_tensor(default="F"):
         return DAMASKCreator.generate_loading_tensor(default=default)
 
-    generate_loading_tensor.__doc__ = DAMASKCreator.generate_loading_tensor.__doc__
+    generate_loading_tensor.__func__.__doc__ = DAMASKCreator.generate_loading_tensor.__doc__
 
     @staticmethod
     def loading_tensor_to_dict(key, value):
         return DAMASKCreator.loading_tensor_to_dict(key, value)
 
-    loading_tensor_to_dict.__doc__ = DAMASKCreator.loading_tensor_to_dict.__doc__
+    loading_tensor_to_dict.__func__.__doc__ = DAMASKCreator.loading_tensor_to_dict.__doc__
 
     @staticmethod
     def generate_load_step(
@@ -113,7 +113,7 @@ def generate_load_step(
             estimate_rate=estimate_rate,
         )
 
-    generate_load_step.__doc__ = DAMASKCreator.generate_load_step.__doc__
+    generate_load_step.__func__.__doc__ = DAMASKCreator.generate_load_step.__doc__
 
     @staticmethod
     def Material(rotation, elements, phase, homogenization):