[jira] [Updated] (SPARK-45989) Fix `pyspark.pandas.tests.connect.computation.test_parity_apply_func` in Python 3.11

2024-05-02 Thread Dongjoon Hyun (Jira) 


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

Dongjoon Hyun updated SPARK-45989:
--
Fix Version/s: 3.4.4

> 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, 3.4.4
>
>
> 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 (, typing.List[int]).
> --
> Ran 10 tests in 78.247s
> FAILED (errors=1)
> {code}



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[jira] [Updated] (SPARK-45989) Fix `pyspark.pandas.tests.connect.computation.test_parity_apply_func` in Python 3.11

2024-05-02 Thread Hyukjin Kwon (Jira) 


 [ 
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 (, typing.List[int]).
> --
> Ran 10 tests in 78.247s
> FAILED (errors=1)
> {code}



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[jira] [Updated] (SPARK-45989) Fix `pyspark.pandas.tests.connect.computation.test_parity_apply_func` in Python 3.11

2023-11-18 Thread Dongjoon Hyun (Jira) 


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

Dongjoon Hyun updated SPARK-45989:
--
Description: 
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 (, typing.List[int]).

--
Ran 10 tests in 78.247s

FAILED (errors=1)
{code}

> 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
>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)]
>