some comments fixed

Author: xaris96

pandas/tests/base/test_misc.py

@@ -149,18 +149,18 @@ def test_searchsorted(request, index_or_series_obj):
 
     if isinstance(obj, pd.MultiIndex):
         request.applymarker(pytest.mark.xfail(reason="GH 14833", strict=False))
-        return
 
     if isinstance(obj, Index):
         if obj.inferred_type in ["mixed", "mixed-integer"]:
             try:
                 obj = obj.astype(str)
             except (TypeError, ValueError):
                 request.applymarker(pytest.mark.xfail(reason="Mixed types"))
-                return
 
         elif obj.dtype.kind == "c":
-            return
+            request.applymarker(
+                pytest.mark.xfail(reason="complex objects are not comparable")
+            )
 
     max_obj = max(obj, default=0)
     index = np.searchsorted(obj, max_obj)

pandas/tests/indexes/multi/test_setops.py

@@ -626,9 +626,10 @@ def test_union_with_duplicates_keep_ea_dtype(dupe_val, any_numeric_ea_dtype):
 
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 def test_union_duplicates(index, request):
-    # special case for mixed types
-    if index.inferred_type == "mixed":
-        index = index.map(str)
+    if isinstance(index, MultiIndex) and isinstance(index[0], tuple):
+        request.applymarker(
+            pytest.mark.xfail(reason="GH#xxxxx - tuple handling in union")
+        )
 
     # GH#38977
     if index.empty or isinstance(index, (IntervalIndex, CategoricalIndex)):

pandas/tests/indexes/test_common.py

@@ -439,10 +439,13 @@ def test_hasnans_isnans(self, index_flat):
 
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 @pytest.mark.parametrize("na_position", [None, "middle"])
-def test_sort_values_invalid_na_position(index_with_missing, na_position):
-    if len({type(x) for x in index_with_missing if pd.notna(x)}) > 1:
-        index_with_missing = index_with_missing.map(str)
-
+def test_sort_values_invalid_na_position(index_with_missing, na_position, request):
+    if index_with_missing.inferred_type == "mixed-integer":
+        request.applymarker(
+            pytest.mark.xfail(
+                reason="Mixed-integer Indexes do not support sorting with missing values"
+            )
+        )
     with pytest.raises(ValueError, match=f"invalid na_position: {na_position}"):
         index_with_missing.sort_values(na_position=na_position)
 
@@ -453,10 +456,12 @@ def test_sort_values_with_missing(index_with_missing, na_position, request):
     # GH 35584. Test that sort_values works with missing values,
     # sort non-missing and place missing according to na_position
 
-    non_na_values = [x for x in index_with_missing if pd.notna(x)]
-    if len({type(x) for x in non_na_values}) > 1:
-        index_with_missing = index_with_missing.map(str)
-
+    if index_with_missing.inferred_type == "mixed-integer":
+        request.applymarker(
+            pytest.mark.xfail(
+                reason="Mixed-integer Indexes do not support sorting with missing values"
+            )
+        )
     if isinstance(index_with_missing, CategoricalIndex):
         request.applymarker(
             pytest.mark.xfail(