chore: upgrade pre commit

prototorch/models/abstract.py

@@ -205,7 +205,7 @@ class SupervisedPrototypeModel(PrototypeModel):
         self.log("test_acc", accuracy)
 
 
-class ProtoTorchMixin(object):
+class ProtoTorchMixin:
     """All mixins are ProtoTorchMixins."""
 
 

prototorch/models/extras.py

@@ -39,7 +39,7 @@ def ltangent_distance(x, y, omegas):
     :param `torch.tensor` omegas: Three dimensional matrix
     :rtype: `torch.tensor`
     """
-    x, y = [arr.view(arr.size(0), -1) for arr in (x, y)]
+    x, y = (arr.view(arr.size(0), -1) for arr in (x, y))
     p = torch.eye(omegas.shape[-2], device=omegas.device) - torch.bmm(
         omegas, omegas.permute([0, 2, 1]))
     projected_x = x @ p

prototorch/models/glvq.py

@@ -145,7 +145,7 @@ class SiameseGLVQ(GLVQ):
 
     def compute_distances(self, x):
         protos, _ = self.proto_layer()
-        x, protos = [arr.view(arr.size(0), -1) for arr in (x, protos)]
+        x, protos = (arr.view(arr.size(0), -1) for arr in (x, protos))
         latent_x = self.backbone(x)
 
         bb_grad = any([el.requires_grad for el in self.backbone.parameters()])