[ 
https://issues.apache.org/jira/browse/SPARK-45989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-45989:
---------------------------------
    Fix Version/s: 3.5.2

> 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
>             Fix For: 4.0.0, 3.5.2
>
>
> 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}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to