BUG: PeriodIndex fails to handle NA, rather than putting NaT in its place (pandas-dev#46673)

Author: kapiliyer

pandas/tests/extension/test_arrow.py

@@ -1479,7 +1479,7 @@ def test_combine_le(self, data_repeated):
 
     def test_combine_add(self, data_repeated, request):
         pa_dtype = next(data_repeated(1)).dtype.pyarrow_dtype
-        if pa.types.is_temporal(pa_dtype) and pa_dtype != 'duration[ns]':
+        if pa.types.is_temporal(pa_dtype) and pa_dtype != "duration[ns]":
             request.node.add_marker(
                 pytest.mark.xfail(
                     raises=TypeError,
@@ -1552,7 +1552,7 @@ def test_arith_series_with_scalar(
             all_arithmetic_operators in ("__add__", "__radd__")
             and pa.types.is_duration(pa_dtype)
             or all_arithmetic_operators in ("__sub__", "__rsub__")
-            and pa.types.is_temporal(pa_dtype) and pa_dtype != 'duration[ns]'
+            and pa.types.is_temporal(pa_dtype)
         )
         if (
             all_arithmetic_operators
@@ -1589,7 +1589,7 @@ def test_arith_series_with_scalar(
         elif arrow_temporal_supported:
             request.node.add_marker(
                 pytest.mark.xfail(
-                    raises=TypeError,
+                    raises=TypeError if pa_dtype != "duration[ns]" else AssertionError,
                     reason=(
                         f"{all_arithmetic_operators} not supported between"
                         f"pd.NA and {pa_dtype} Python scalar"
@@ -1655,7 +1655,7 @@ def test_arith_frame_with_scalar(
         elif arrow_temporal_supported:
             request.node.add_marker(
                 pytest.mark.xfail(
-                    raises=TypeError,
+                    raises=TypeError if pa_dtype != "duration[ns]" else AssertionError,
                     reason=(
                         f"{all_arithmetic_operators} not supported between"
                         f"pd.NA and {pa_dtype} Python scalar"
@@ -1739,7 +1739,7 @@ def test_arith_series_with_array(
         elif arrow_temporal_supported:
             request.node.add_marker(
                 pytest.mark.xfail(
-                    raises=TypeError,
+                    raises=TypeError if pa_dtype != "duration[ns]" else AssertionError,
                     reason=(
                         f"{all_arithmetic_operators} not supported between"
                         f"pd.NA and {pa_dtype} Python scalar"