Reformat projected_gradient_descent_pytorch.py with black

Signed-off-by: salomonhotegni <[email protected]>

Author: salomonhotegni

art/attacks/evasion/projected_gradient_descent/projected_gradient_descent_pytorch.py

@@ -501,7 +501,9 @@ def _projection(
             )
         else:  # Optimal
             if norm == np.inf:  # Easy exact case
-                values_tmp = values_tmp.sign() * torch.minimum(values_tmp.abs(), torch.tensor(eps).to(values_tmp.device))
+                values_tmp = values_tmp.sign() * torch.minimum(
+                    values_tmp.abs(), torch.tensor(eps).to(values_tmp.device)
+                )
             elif norm >= 1:  # Convex optim
                 raise NotImplementedError(
                     "Finite values of `norm_p >= 1` are currently not supported with `suboptimal=False`."