[jira] [Updated] (ARROW-12695) [Python] bool value of scalars depends on data type

["Sergey Mozharov (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-12695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sergey Mozharov updated ARROW-12695:
------------------------------------
    Summary: [Python] bool value of scalars depends on data type  (was: bool value of scalars depends on data type)

> [Python] bool value of scalars depends on data type
> ---------------------------------------------------
>
>                 Key: ARROW-12695
>                 URL: https://issues.apache.org/jira/browse/ARROW-12695
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 4.0.0
>         Environment: Windows 10
> python 3.9.4
>            Reporter: Sergey Mozharov
>            Priority: Major
>
> `pyarrow.Scalar` and its subclasses do not implement `__bool__` method. The default implementation does not seem to do the right thing. For example:
> {code:java}
> >>> import pyarrow as pa
> >>> na_value = pa.scalar(None, type=pa.int32())
> >>> bool(na_value)
> True
> >>> na_value = pa.scalar(None, type=pa.struct([('a', pa.int32())]))
> >>> bool(na_value)
> False
> >>> bool(pa.scalar(None, type=pa.list_(pa.int32())))
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "pyarrow\scalar.pxi", line 572, in pyarrow.lib.ListScalar.__len__
> TypeError: object of type 'NoneType' has no len()
> >>>
> {code}
> Please consider implementing `___bool____` method. It seems reasonable to delegate to the `____bool___` method of the wrapped object.



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