Cleanup

Author: rhshadrach

pandas/core/groupby/ops.py

@@ -747,8 +747,7 @@ def result_index(self) -> Index:
     def ids(self) -> npt.NDArray[np.intp]:
         return self.result_index_and_ids[1]
 
-    # @cache_readonly
-    @property
+    @cache_readonly
     def result_index_and_ids(self) -> tuple[Index, npt.NDArray[np.intp]]:
         levels = [Index._with_infer(ping.uniques) for ping in self.groupings]
         obs = [

pandas/tests/frame/methods/test_value_counts.py

@@ -128,17 +128,7 @@ def test_data_frame_value_counts_dropna_true(nulls_fixture):
     expected = pd.Series(
         data=[1, 1],
         index=pd.MultiIndex.from_arrays(
-            [
-                (
-                    "John",
-                    "Beth",
-                ),
-                (
-                    "Smith",
-                    "Louise",
-                ),
-            ],
-            names=["first_name", "middle_name"],
+            [("John", "Beth"), ("Smith", "Louise")], names=["first_name", "middle_name"]
         ),
         name="count",
     )

pandas/tests/groupby/methods/test_value_counts.py

@@ -526,17 +526,7 @@ def test_dropna_combinations(
             True,
             [1, 1],
             MultiIndex.from_arrays(
-                [
-                    (1, 1),
-                    (
-                        "John",
-                        "Beth",
-                    ),
-                    (
-                        "Smith",
-                        "Louise",
-                    ),
-                ],
+                [(1, 1), ("John", "Beth"), ("Smith", "Louise")],
                 names=["key", "first_name", "middle_name"],
             ),
         ),