pre-commit fixes

python-package/lightgbm/sklearn.py

@@ -1118,17 +1118,17 @@ def feature_name_(self) -> List[str]:
         if not self.__sklearn_is_fitted__():
             raise LGBMNotFittedError("No feature_name found. Need to call fit beforehand.")
         return self._Booster.feature_name()  # type: ignore[union-attr]
-    
+
     @property
     def feature_names_in_(self) -> List[str]:
         """:obj:`list` of shape = [n_features]: The names of features.
-        
+
         .. note::
 
             If input does not contain feature names, they will be added during fitting in the format ``Column_0``, ``Column_1``, ..., ``Column_N``.
         """
-        if not self.__sklearn_is_fitted__(): 
-            raise LGBMNotFittedError('No feature_names_in_ found. Need to call fit beforehand.') 
+        if not self.__sklearn_is_fitted__():
+            raise LGBMNotFittedError("No feature_names_in_ found. Need to call fit beforehand.")
         return self.feature_name_
 
 

tests/python_package_test/test_sklearn.py

@@ -1284,9 +1284,7 @@ def test_getting_feature_names_in_np_input():
     with pytest.raises(lgb.compat.LGBMNotFittedError):
         est.feature_names_in_
     est.fit(X, y)
-    assert est.feature_names_in_ == [
-        f"Column_{i}" for i in range(X.shape[1])
-    ]
+    assert est.feature_names_in_ == [f"Column_{i}" for i in range(X.shape[1])]
 
 
 def test_getting_feature_names_in_pd_input():