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cvxtorch/torch_numerics/affine/upper_tri.py

@@ -1,6 +1,7 @@
 import torch
 from cvxpy.expressions.expression import Expression
 
+
 def torch_numeric(expr: Expression, values: list[torch.Tensor]) -> torch.Tensor: 
  inds = torch.triu_indices(row=values[0].shape[0], col=values[0].shape[1], offset=1)
  # This can be simplified as `return values[0][*inds]`. However, this doesn't work on <3.11.