marked fail and other tests fixed

Author: xaris96

pandas/tests/indexes/test_common.py

@@ -436,17 +436,20 @@ def test_hasnans_isnans(self, index_flat):
         tm.assert_numpy_array_equal(idx._isnan, expected)
         assert idx.hasnans is True
 
+
 @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):
     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:
         pytest.mark.xfail(
-            reason="Sorting fails due to heterogeneous types in index (int vs str)")
+            reason="Sorting fails due to heterogeneous types in index (int vs str)"
+        )
 
     with pytest.raises(ValueError, match=f"invalid na_position: {na_position}"):
         index_with_missing.sort_values(na_position=na_position)
 
+
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 @pytest.mark.parametrize("na_position", ["first", "last"])
 def test_sort_values_with_missing(index_with_missing, na_position, request):
@@ -456,7 +459,8 @@ def test_sort_values_with_missing(index_with_missing, na_position, request):
     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:
         pytest.mark.xfail(
-            reason="Sorting fails due to heterogeneous types in index (int vs str)")
+            reason="Sorting fails due to heterogeneous types in index (int vs str)"
+        )
 
     if isinstance(index_with_missing, CategoricalIndex):
         request.applymarker(

pandas/tests/test_algos.py

@@ -75,7 +75,8 @@ def test_factorize(self, index_or_series_obj, sort):
 
         if obj.name == "mixed-int-string" or obj.name is None:
             pytest.skip(
-                "Skipping test for mixed-int-string due to unsupported comparison between str and int"
+                "Skipping test for mixed-int-string due to unsupported"
+                "comparison between str and int"
             )
 
         result_codes, result_uniques = obj.factorize(sort=sort)