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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/01/20 15:30:00 UTC
[jira] [Assigned] (SPARK-37972) Typing incompatibilities with numpy==1.22.x
[ https://issues.apache.org/jira/browse/SPARK-37972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-37972:
------------------------------------
Assignee: Apache Spark
> Typing incompatibilities with numpy==1.22.x
> -------------------------------------------
>
> Key: SPARK-37972
> URL: https://issues.apache.org/jira/browse/SPARK-37972
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 3.3.0
> Reporter: Maciej Szymkiewicz
> Assignee: Apache Spark
> Priority: Minor
>
> When type checked against {{numpy==1.22}} mypy detects following issues:
> {code:python}
> python/pyspark/mllib/linalg/__init__.py:412: error: Argument 2 to "norm" has incompatible type "Union[float, str]"; expected "Union[None, float, Literal['fro'], Literal['nuc']]" [arg-type]
> python/pyspark/mllib/linalg/__init__.py:457: error: No overload variant of "dot" matches argument types "ndarray[Any, Any]", "Iterable[float]" [call-overload]
> python/pyspark/mllib/linalg/__init__.py:457: note: Possible overload variant:
> python/pyspark/mllib/linalg/__init__.py:457: note: def dot(a: Union[_SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[Union[bool, int, float, complex, str, bytes]]], b: Union[_SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[Union[bool, int, float, complex, str, bytes]]], out: None = ...) -> Any
> python/pyspark/mllib/linalg/__init__.py:457: note: <1 more non-matching overload not shown>
> python/pyspark/mllib/linalg/__init__.py:707: error: Argument 2 to "norm" has incompatible type "Union[float, str]"; expected "Union[None, float, Literal['fro'], Literal['nuc']]" [arg-type]
> {code}
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