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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2021/07/15 15:03:00 UTC
[jira] [Resolved] (SPARK-36146) Upgrade Python version from 3.6 to
higher version in GitHub linter
[ https://issues.apache.org/jira/browse/SPARK-36146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun resolved SPARK-36146.
-----------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33356
[https://github.com/apache/spark/pull/33356]
> Upgrade Python version from 3.6 to higher version in GitHub linter
> ------------------------------------------------------------------
>
> Key: SPARK-36146
> URL: https://issues.apache.org/jira/browse/SPARK-36146
> Project: Spark
> Issue Type: Sub-task
> Components: Project Infra, PySpark
> Affects Versions: 3.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Fix For: 3.3.0
>
>
> MyPy checks fails with higher Python versions. For example, with Python 3.8:
> {code}
> python/pyspark/sql/pandas/_typing/protocols/frame.pyi:64: error: Name "np.ndarray" is not defined
> python/pyspark/sql/pandas/_typing/protocols/frame.pyi:91: error: Name "np.recarray" is not defined
> python/pyspark/sql/pandas/_typing/protocols/frame.pyi:165: error: Name "np.ndarray" is not defined
> python/pyspark/pandas/categorical.py:82: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "categories"
> python/pyspark/pandas/categorical.py:109: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "ordered"
> python/pyspark/ml/linalg/__init__.pyi:184: error: Return type "ndarray[Any, Any]" of "toArray" incompatible with return type "NoReturn" in supertype "Matrix"
> python/pyspark/ml/linalg/__init__.pyi:217: error: Return type "ndarray[Any, Any]" of "toArray" incompatible with return type "NoReturn" in supertype "Matrix"
> python/pyspark/pandas/typedef/typehints.py:163: error: Module has no attribute "bool"; maybe "bool_" or "bool8"?
> python/pyspark/pandas/typedef/typehints.py:174: error: Module has no attribute "float"; maybe "float_", "cfloat", or "float96"?
> python/pyspark/pandas/typedef/typehints.py:180: error: Module has no attribute "int"; maybe "uint", "rint", or "intp"?
> python/pyspark/pandas/ml.py:81: error: Value of type variable "_DTypeScalar_co" of "dtype" cannot be "object"
> python/pyspark/pandas/indexing.py:1649: error: Module has no attribute "int"; maybe "uint", "rint", or "intp"?
> python/pyspark/pandas/indexing.py:1656: error: Module has no attribute "int"; maybe "uint", "rint", or "intp"?
> python/pyspark/pandas/frame.py:4969: error: Function "numpy.array" is not valid as a type
> python/pyspark/pandas/frame.py:4969: note: Perhaps you need "Callable[...]" or a callback protocol?
> python/pyspark/pandas/frame.py:4970: error: Function "numpy.array" is not valid as a type
> python/pyspark/pandas/frame.py:4970: note: Perhaps you need "Callable[...]" or a callback protocol?
> python/pyspark/pandas/frame.py:7402: error: "List[Any]" has no attribute "tolist"
> python/pyspark/pandas/series.py:1030: error: Module has no attribute "_NoValue"
> python/pyspark/pandas/series.py:1031: error: Module has no attribute "_NoValue"
> python/pyspark/pandas/indexes/category.py:159: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "categories"
> python/pyspark/pandas/indexes/category.py:180: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "ordered"
> python/pyspark/pandas/namespace.py:2036: error: Argument 1 to "column_name" has incompatible type "float"; expected "str"
> python/pyspark/pandas/mlflow.py:59: error: Incompatible types in assignment (expression has type "Type[floating[Any]]", variable has type "str")
> python/pyspark/pandas/data_type_ops/categorical_ops.py:43: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "categories"
> python/pyspark/pandas/data_type_ops/categorical_ops.py:43: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "ordered"
> python/pyspark/pandas/data_type_ops/categorical_ops.py:56: error: Item "dtype[Any]" of "Union[dtype[Any], Any]" has no attribute "categories"
> python/pyspark/pandas/tests/test_typedef.py:70: error: Name "np.float" is not defined
> python/pyspark/pandas/tests/test_typedef.py:77: error: Name "np.float" is not defined
> python/pyspark/pandas/tests/test_typedef.py:85: error: Name "np.float" is not defined
> python/pyspark/pandas/tests/test_typedef.py:100: error: Name "np.float" is not defined
> python/pyspark/pandas/tests/test_typedef.py:108: error: Name "np.float" is not defined
> python/pyspark/mllib/clustering.pyi:152: error: Incompatible types in assignment (expression has type "ndarray[Any, Any]", base class "KMeansModel" defined the type as "List[ndarray[Any, Any]]")
> python/pyspark/mllib/classification.pyi:93: error: Signature of "predict" incompatible with supertype "LinearClassificationModel"
> Found 32 errors in 15 files (checked 315 source files)
> 1
> {code}
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