🎨 Format Python code with psf/black

pina/model/avno.py

@@ -64,17 +64,24 @@ class AveragingNeuralOperator(KernelNeuralOperator):
         output_lifting_net = lifting_net(
             torch.rand(size=next(lifting_net.parameters()).size())
         ).shape[-1]
-        projecting_net_input=next(projecting_net.parameters()).size()[-1]
+        projecting_net_input = next(projecting_net.parameters()).size()[-1]
 
-        if len(field_indices)+len(coordinates_indices) != input_lifting_net:
+        if len(field_indices) + len(coordinates_indices) != input_lifting_net:
-            raise ValueError('The lifting_net must take as input the '
+            raise ValueError(
-                             'coordinates vector and the field vector.')
+                "The lifting_net must take as input the "
+                "coordinates vector and the field vector."
+            )
 
-        if output_lifting_net+len(coordinates_indices) != projecting_net_input:
+        if (
-            raise ValueError('The projecting_net input must be equal to'
+            output_lifting_net + len(coordinates_indices)
-                             'the embedding dimension (which is the output) '
+            != projecting_net_input
-                             'of the lifting_net plus the dimension of the '
+        ):
-                             'coordinates, i.e. len(coordinates_indices).')
+            raise ValueError(
+                "The projecting_net input must be equal to"
+                "the embedding dimension (which is the output) "
+                "of the lifting_net plus the dimension of the "
+                "coordinates, i.e. len(coordinates_indices)."
+            )
 
         # assign
         self.coordinates_indices = coordinates_indices