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deepmd/dpmodel/model/model.py

@@ -1,4 +1,6 @@
 # SPDX-License-Identifier: LGPL-3.0-or-later
+import copy
+
 from deepmd.dpmodel.atomic_model.dp_atomic_model import (
     DPAtomicModel,
 )
@@ -17,23 +19,30 @@
 from deepmd.dpmodel.model.base_model import (
     BaseModel,
 )
+from deepmd.dpmodel.model.dipole_model import (
+    DipoleModel,
+)
+from deepmd.dpmodel.model.dos_model import (
+    DOSModel,
+)
 from deepmd.dpmodel.model.dp_zbl_model import (
     DPZBLModel,
 )
 from deepmd.dpmodel.model.ener_model import (
     EnergyModel,
 )
+from deepmd.dpmodel.model.polar_model import (
+    PolarModel,
+)
+from deepmd.dpmodel.model.property_model import (
+    PropertyModel,
+)
 from deepmd.dpmodel.model.spin_model import (
     SpinModel,
 )
 from deepmd.utils.spin import (
     Spin,
 )
-import copy
-from deepmd.dpmodel.model.dos_model import DOSModel
-from deepmd.dpmodel.model.property_model import PropertyModel
-from deepmd.dpmodel.model.dipole_model import DipoleModel
-from deepmd.dpmodel.model.polar_model import PolarModel
 
 
 def _get_standard_model_components(data, ntypes):
@@ -57,7 +66,8 @@ def _get_standard_model_components(data, ntypes):
             fitting_net["return_energy"] = True
     fitting = BaseFitting(**fitting_net)
     return descriptor, fitting, fitting_net["type"]
-
+
+
 def get_standard_model(data: dict) -> EnergyModel:
     """Get a EnergyModel from a dictionary.
 
@@ -72,12 +82,9 @@ def get_standard_model(data: dict) -> EnergyModel:
         )
     data = copy.deepcopy(data)
     ntypes = len(data["type_map"])
-    descriptor, fitting, fitting_net_type = _get_standard_model_components(
-        data, ntypes
-    )
+    descriptor, fitting, fitting_net_type = _get_standard_model_components(data, ntypes)
     atom_exclude_types = data.get("atom_exclude_types", [])
     pair_exclude_types = data.get("pair_exclude_types", [])
-
 
     if fitting_net_type == "dipole":
         modelcls = DipoleModel