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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2023/11/19 09:39:00 UTC
[jira] [Assigned] (SPARK-45989) Fix `pyspark.pandas.tests.connect.computation.test_parity_apply_func` in Python 3.11
[ https://issues.apache.org/jira/browse/SPARK-45989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun reassigned SPARK-45989:
-------------------------------------
Assignee: Dongjoon Hyun
> Fix `pyspark.pandas.tests.connect.computation.test_parity_apply_func` in Python 3.11
> ------------------------------------------------------------------------------------
>
> Key: SPARK-45989
> URL: https://issues.apache.org/jira/browse/SPARK-45989
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.0.0
> Reporter: Dongjoon Hyun
> Assignee: Dongjoon Hyun
> Priority: Major
>
> https://github.com/apache/spark/actions/runs/6914662405/job/18816505612
> {code}
> ======================================================================
> ERROR [1.237s]: test_apply_batch_with_type (pyspark.pandas.tests.connect.computation.test_parity_apply_func.FrameParityApplyFunctionTests.test_apply_batch_with_type)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/__w/spark/spark/python/pyspark/pandas/tests/computation/test_apply_func.py", line 248, in test_apply_batch_with_type
> def identify3(x) -> ps.DataFrame[float, [int, List[int]]]:
> ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/__w/spark/spark/python/pyspark/pandas/frame.py", line 13540, in __class_getitem__
> return create_tuple_for_frame_type(params)
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/__w/spark/spark/python/pyspark/pandas/typedef/typehints.py", line 721, in create_tuple_for_frame_type
> return Tuple[_to_type_holders(params)]
> ^^^^^^^^^^^^^^^^^^^^^^^^
> File "/__w/spark/spark/python/pyspark/pandas/typedef/typehints.py", line 766, in _to_type_holders
> data_types = _new_type_holders(data_types, NameTypeHolder)
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/__w/spark/spark/python/pyspark/pandas/typedef/typehints.py", line 832, in _new_type_holders
> raise TypeError(
> TypeError: Type hints should be specified as one of:
> - DataFrame[type, type, ...]
> - DataFrame[name: type, name: type, ...]
> - DataFrame[dtypes instance]
> - DataFrame[zip(names, types)]
> - DataFrame[index_type, [type, ...]]
> - DataFrame[(index_name, index_type), [(name, type), ...]]
> - DataFrame[dtype instance, dtypes instance]
> - DataFrame[(index_name, index_type), zip(names, types)]
> - DataFrame[[index_type, ...], [type, ...]]
> - DataFrame[[(index_name, index_type), ...], [(name, type), ...]]
> - DataFrame[dtypes instance, dtypes instance]
> - DataFrame[zip(index_names, index_types), zip(names, types)]
> However, got (<class 'int'>, typing.List[int]).
> ----------------------------------------------------------------------
> Ran 10 tests in 78.247s
> FAILED (errors=1)
> {code}
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