Dongjoon Hyun created SPARK-45988:
-------------------------------------
Summary: Fix `pyspark.pandas.tests.computation.test_apply_func` in
Python 3.11
Key: SPARK-45988
URL: https://issues.apache.org/jira/browse/SPARK-45988
Project: Spark
Issue Type: Sub-task
Components: PySpark
Affects Versions: 4.0.0
Reporter: Dongjoon Hyun
https://github.com/apache/spark/actions/runs/6914662405/job/18812759697
{code}
======================================================================
ERROR [0.686s]: test_apply_batch_with_type
(pyspark.pandas.tests.computation.test_apply_func.FrameApplyFunctionTests.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 34.327s
FAILED (errors=1)
{code}
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