decimal32->decimal128

Author: jbrockmendel

pandas/core/arrays/arrow/array.py

@@ -442,7 +442,7 @@ def _cast_pointwise_result(self, values) -> ArrayLike:
         if pa.types.is_null(arr.type):
             if lib.infer_dtype(values) == "decimal":
                 # GH#62522; the specific decimal precision here is arbitrary
-                arr = arr.cast(pa.decimal32(1))
+                arr = arr.cast(pa.decimal128(1))
         if pa.types.is_duration(arr.type):
             # workaround for https://github.com/apache/arrow/issues/40620
             result = ArrowExtensionArray._from_sequence(values)

pandas/tests/extension/test_arrow.py

@@ -3702,7 +3702,6 @@ def test_pow_with_all_na_float():
     tm.assert_series_equal(result, expected)
 
 
-@pytest.mark.xfail(pa_version_under14p0, reason="decimal32 not implemented")
 def test_cast_pontwise_result_decimal_nan():
     # GH#62522 we don't want to get back null[pyarrow] here
     ser = pd.Series([], dtype="float64[pyarrow]")