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deepmd/pt/model/atomic_model/linear_atomic_model.py

@@ -284,7 +284,10 @@ def _compute_weight(
     ) -> List[torch.Tensor]:
         """This should be a list of user defined weights that matches the number of models to be combined."""
         nmodels = len(self.models)
-        return [torch.ones(1, dtype=torch.float64, device=env.DEVICE) / nmodels for _ in range(nmodels)]
+        return [
+            torch.ones(1, dtype=torch.float64, device=env.DEVICE) / nmodels
+            for _ in range(nmodels)
+        ]
 
     def get_dim_fparam(self) -> int:
         """Get the number (dimension) of frame parameters of this atomic model."""