Code style chore (Pre-commit hook)

pandas/tests/groupby/test_groupby.py

@@ -3004,31 +3004,37 @@ def test_groupby_agg_namedagg_with_duplicate_columns():
 
     tm.assert_frame_equal(result, expected)
 
+
 class MyDataFrame(DataFrame):
     @property
     def _constructor(self):
         return MyDataFrame
 
-@pytest.mark.parametrize("data, agg_dict, expected", [
-    pytest.param(
-        {"A": [1, 1, 2, 2], "B": [1, 2, 3, 4]},
-        {"B": "sum"},
-        DataFrame({"B": [3, 7]}, index=Index([1, 2], name="A"))
-    ),
-    pytest.param(
-        {"A": [1, 1, 2, 2], "B": [1, 2, 3, 4], "C": [4, 3, 2, 1]},
-        {"B": "sum", "C": "mean"},
-        DataFrame({"B": [3, 7], "C": [3.5, 1.5]}, index=Index([1, 2], name="A"))
-    ),
-])
+
+@pytest.mark.parametrize(
+    "data, agg_dict, expected",
+    [
+        pytest.param(
+            {"A": [1, 1, 2, 2], "B": [1, 2, 3, 4]},
+            {"B": "sum"},
+            DataFrame({"B": [3, 7]}, index=Index([1, 2], name="A")),
+        ),
+        pytest.param(
+            {"A": [1, 1, 2, 2], "B": [1, 2, 3, 4], "C": [4, 3, 2, 1]},
+            {"B": "sum", "C": "mean"},
+            DataFrame({"B": [3, 7], "C": [3.5, 1.5]}, index=Index([1, 2], name="A")),
+        ),
+    ],
+)
 def test_groupby_agg_preserves_subclass(data, agg_dict, expected):
     # GH#59667
     df = MyDataFrame(data)
     result = df.groupby("A").agg(agg_dict)
-    
+
     assert isinstance(result, MyDataFrame)
     tm.assert_frame_equal(result, expected)
 
+
 def test_groupby_multi_index_codes():
     # GH#54347
     df = DataFrame(