[PYTHON][TESTS] Skip string-to-decimal assertions in test_type_coercion_string_to_numeric on Pandas 3#55701
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…on_string_to_numeric on Pandas 3 ### What changes were proposed in this pull request? Skip the two `assertRaises(PythonException)` blocks for `string -> decimal` casts in `ArrowPythonUDFTestsMixin.test_type_coercion_string_to_numeric` when the active pandas defaults to a non-`object` (Arrow-backed) string dtype. Detect via `pd.Series(["x"]).dtype == object` so the assertions still run on Pandas 2 with default settings. ### Why are the changes needed? In Pandas 3, `pd.Series(['1', '2'])` is backed by `ArrowStringArrayNumpySemantics`. `pa.Array.from_pandas(series, type=pa.decimal128(...))` then silently casts the strings to decimal instead of raising `ArrowTypeError`. The legacy `SQL_ARROW_BATCHED_UDF` path goes through `PandasToArrowConversion.convert(...)` and depends on that exception to surface a `PythonException`, so the existing assertions stop holding under Pandas 3. The `string '1.1' -> int` assertion is unaffected because the cast fallback also fails. This was originally observed in [the Pandas-3 build for `master` at SHA ca4d88d](https://github.com/apache/spark/actions/runs/25402959034/job/74508177559) - `ArrowPythonUDFLegacyTests::test_type_coercion_string_to_numeric` failing with `AssertionError: PythonException not raised`. ### Does this PR introduce _any_ user-facing change? No. Test-only change. ### How was this patch tested? Tested locally in a Pandas 3 environment (`pandas==3.0.2`, `pyarrow==23.0.1`, Python 3.13.12, `future.infer_string=True` by default - matching the failing CI image): * `ArrowPythonUDFTests/LegacyTests/NonLegacyTests::test_type_coercion_string_to_numeric` - 3 passed. * `ArrowPythonUDFParityTests/ParityLegacyTests/ParityNonLegacyTests::test_type_coercion_string_to_numeric` (connect) - 3 passed. ### Was this patch authored or co-authored using generative AI tooling? Generated-by: Claude Code (claude-opus-4-7)
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What changes were proposed in this pull request?
Skip the two
assertRaises(PythonException)blocks forstring -> decimalcasts inArrowPythonUDFTestsMixin.test_type_coercion_string_to_numericwhen the active pandas defaults to a non-object(Arrow-backed) string dtype. Detect viapd.Series(["x"]).dtype == objectso the assertions still run on Pandas 2 with default settings.Why are the changes needed?
In Pandas 3,
pd.Series(['1', '2'])is backed byArrowStringArrayNumpySemantics.pa.Array.from_pandas(series, type=pa.decimal128(...))then silently casts the strings to decimal instead of raisingArrowTypeError. The legacySQL_ARROW_BATCHED_UDFpath goes throughPandasToArrowConversion.convert(...)and depends on that exception to surface aPythonException, so the existing assertions stop holding under Pandas 3. Thestring '1.1' -> intassertion is unaffected because the cast fallback also fails.This was originally observed in the Pandas-3 build for
masterat SHA ca4d88d —ArrowPythonUDFLegacyTests::test_type_coercion_string_to_numericfailing withAssertionError: PythonException not raised.Does this PR introduce any user-facing change?
No. Test-only change.
How was this patch tested?
Tested locally in a Pandas 3 environment (
pandas==3.0.2,pyarrow==23.0.1, Python 3.13.12,future.infer_string=Trueby default — matching the failing CI image):ArrowPythonUDFTests/LegacyTests/NonLegacyTests::test_type_coercion_string_to_numeric— 3 passed.ArrowPythonUDFParityTests/ParityLegacyTests/ParityNonLegacyTests::test_type_coercion_string_to_numeric(connect) — 3 passed.Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Code (claude-opus-4-7)