no-infer-string build

Author: jbrockmendel

pandas/tests/extension/test_string.py

@@ -229,6 +229,16 @@ def test_compare_scalar(self, data, comparison_op):
     def test_groupby_extension_apply(self, data_for_grouping, groupby_apply_op):
         super().test_groupby_extension_apply(data_for_grouping, groupby_apply_op)
 
+    def test_combine_add(self, data_repeated, using_infer_string, request):
+        dtype = next(data_repeated(1)).dtype
+        if not using_infer_string and dtype.storage == "python":
+            mark = pytest.mark.xfail(
+                reason="The pointwise operation result will be inferred to "
+                "string[nan, pyarrow], which does not match the input dtype"
+            )
+            request.applymarker(mark)
+        super().test_combine_add(data_repeated)
+
     def test_arith_series_with_array(
         self, data, all_arithmetic_operators, using_infer_string, request
     ):

pandas/tests/indexes/test_any_index.py

@@ -9,6 +9,7 @@
 
 from pandas.errors import InvalidIndexError
 
+from pandas import StringDtype
 import pandas._testing as tm
 
 
@@ -36,8 +37,15 @@ def test_mutability(index):
 
 
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
-def test_map_identity_mapping(index, request):
+def test_map_identity_mapping(index, request, using_infer_string):
     # GH#12766
+    if (
+        not using_infer_string
+        and isinstance(index.dtype, StringDtype)
+        and index.dtype.storage == "python"
+    ):
+        mark = pytest.mark.xfail(reason="Does not preserve dtype")
+        request.applymarker(mark)
 
     result = index.map(lambda x: x)
     if index.dtype == object and (result.dtype == bool or result.dtype == "string"):

pandas/tests/indexes/test_base.py

@@ -581,12 +581,19 @@ def test_map_dictlike_simple(self, mapper):
         ],
     )
     @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
-    def test_map_dictlike(self, index, mapper, request):
+    def test_map_dictlike(self, index, mapper, request, using_infer_string):
         # GH 12756
         if isinstance(index, CategoricalIndex):
             pytest.skip("Tested in test_categorical")
         elif not index.is_unique:
             pytest.skip("Cannot map duplicated index")
+        if (
+            not using_infer_string
+            and isinstance(index.dtype, pd.StringDtype)
+            and index.dtype.storage == "python"
+        ):
+            mark = pytest.mark.xfail(reason="map does not retain dtype")
+            request.applymarker(mark)
 
         rng = np.arange(len(index), 0, -1, dtype=np.int64)