xfail AM case

pandas/tests/arrays/boolean/test_construction.py

@@ -321,20 +321,3 @@ def test_to_numpy_copy():
     result = arr.to_numpy(dtype=bool, copy=True)
     result[0] = False
     tm.assert_extension_array_equal(arr, pd.array([True, False, True], dtype="boolean"))
-
-
-# TODO when BooleanArray coerces to object dtype numpy array, need to do conversion
-# manually in the indexing code
-# TODO: belongs somewhere else?
-@pytest.mark.xfail(reason="fails to raise")
-def test_indexing_boolean_mask():
-    arr = pd.array([1, 2, 3, 4], dtype="Int64")
-    mask = pd.array([True, False, True, False], dtype="boolean")
-    result = arr[mask]
-    expected = pd.array([1, 3], dtype="Int64")
-    tm.assert_extension_array_equal(result, expected)
-
-    # missing values -> error
-    mask = pd.array([True, False, True, None], dtype="boolean")
-    with pytest.raises(IndexError, match="TBD"):
-        result = arr[mask]

pandas/tests/frame/methods/test_quantile.py

@@ -651,7 +651,18 @@ def test_quantile_ea_with_na(self, obj, index):
 
     # TODO(GH#39763): filtering can be removed after GH#39763 is fixed
     @pytest.mark.filterwarnings("ignore:Using .astype to convert:FutureWarning")
-    def test_quantile_ea_all_na(self, obj, index, frame_or_series):
+    def test_quantile_ea_all_na(
+        self, obj, index, frame_or_series, using_array_manager, request
+    ):
+        if (
+            using_array_manager
+            and frame_or_series is DataFrame
+            and index.dtype == "m8[ns]"
+        ):
+            mark = pytest.mark.xfail(
+                reason="obj.astype fails bc obj is incorrectly dt64 at this point"
+            )
+            request.node.add_marker(mark)
 
         obj.iloc[:] = index._na_value