Lint contribution

Author: Jason Mok

pandas/tests/reshape/test_cut.py

@@ -790,6 +790,7 @@ def test_cut_with_nullable_int64():
 
     tm.assert_series_equal(result, expected)
 
+
 def test_datetime_cut_notna():
     """
     Ensure pd.cut can handle DatetimeArray without raising an AttributeError
@@ -800,20 +801,22 @@ def test_datetime_cut_notna():
     data = to_datetime(["2023-09-17", "2023-10-06"])
     datetime_array = data.array
 
-    bins = pd.date_range(start="2023-09-16", periods=3, freq='10D')
+    bins = pd.date_range(start="2023-09-16", periods=3, freq="10D")
 
     # Use pd.cut to categorize datetime data and capture the result
     result = pd.cut(datetime_array, bins=bins)
 
     expected_intervals = IntervalIndex.from_arrays(
-        [pd.Timestamp('2023-09-16'), pd.Timestamp('2023-09-26')],
-        [pd.Timestamp('2023-09-26'), pd.Timestamp('2023-10-06')],
-        closed='right'
+        [pd.Timestamp("2023-09-16"), pd.Timestamp("2023-09-26")],
+        [pd.Timestamp("2023-09-26"), pd.Timestamp("2023-10-06")],
+        closed="right",
     )
 
     expected = Series(expected_intervals).astype(CategoricalDtype(ordered=True))
 
     tm.assert_categorical_equal(result.categories, expected.values)
 
-    assert not hasattr(result, 'notna'), "AttributeError related to 'notna' should not be present"
-    assert len(result.categories) == 2, "There should be exactly 2 bins"
+    assert not hasattr(
+        result, "notna"
+    ), "AttributeError related to 'notna' should not be present"
+    assert len(result.categories) == 2, "There should be exactly 2 bins"