Fix Codacy Warnings (#477)

---------

Co-authored-by: Dario Coscia <dariocos99@gmail.com>

tests/test_blocks/test_orthogonal.py

@@ -8,10 +8,11 @@ list_matrices = [
     torch.randn(10, 3),
     torch.rand(100, 5),
     torch.randn(5, 5),
-    ]
+]
 
 list_prohibited_matrices_dim0 = list_matrices[:-1]
 
+
 @pytest.mark.parametrize("dim", [-1, 0, 1, None])
 @pytest.mark.parametrize("requires_grad", [True, False, None])
 def test_constructor(dim, requires_grad):
@@ -29,11 +30,13 @@ def test_constructor(dim, requires_grad):
     if requires_grad is not None:
         assert block.requires_grad == requires_grad
 
+
 def test_wrong_constructor():
     with pytest.raises(IndexError):
-        OrthogonalBlock(2) 
+        OrthogonalBlock(2)
     with pytest.raises(ValueError):
-        OrthogonalBlock('a')
+        OrthogonalBlock("a")
+
 
 @pytest.mark.parametrize("V", list_matrices)
 def test_forward(V):
@@ -42,7 +45,10 @@ def test_forward(V):
     V_orth = orth(V)
     V_orth_row = orth_row(V.T)
     assert torch.allclose(V_orth.T @ V_orth, torch.eye(V.shape[1]), atol=1e-6)
-    assert torch.allclose(V_orth_row @ V_orth_row.T, torch.eye(V.shape[1]), atol=1e-6)
+    assert torch.allclose(
+        V_orth_row @ V_orth_row.T, torch.eye(V.shape[1]), atol=1e-6
+    )
+
 
 @pytest.mark.parametrize("V", list_matrices)
 def test_backward(V):
@@ -51,6 +57,7 @@ def test_backward(V):
     loss = V_orth.mean()
     loss.backward()
 
+
 @pytest.mark.parametrize("V", list_matrices)
 def test_wrong_backward(V):
     orth = OrthogonalBlock(requires_grad=False)
@@ -59,10 +66,10 @@ def test_wrong_backward(V):
     with pytest.raises(RuntimeError):
         loss.backward()
 
+
 @pytest.mark.parametrize("V", list_prohibited_matrices_dim0)
 def test_forward_prohibited(V):
     orth = OrthogonalBlock(0)
     with pytest.raises(Warning):
         V_orth = orth(V)
         assert V.shape[0] > V.shape[1]
-