You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/09/02 22:05:00 UTC
[jira] [Commented] (SPARK-36654) Drop type ignores from numpy
imports
[ https://issues.apache.org/jira/browse/SPARK-36654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17409133#comment-17409133 ]
Apache Spark commented on SPARK-36654:
--------------------------------------
User 'zero323' has created a pull request for this issue:
https://github.com/apache/spark/pull/33900
> Drop type ignores from numpy imports
> ------------------------------------
>
> Key: SPARK-36654
> URL: https://issues.apache.org/jira/browse/SPARK-36654
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.1.2, 3.2.0, 3.3.0
> Reporter: Maciej Szymkiewicz
> Priority: Minor
>
> Currently we use {{type: ingore[import]}} on all numpy imports ‒ this was necessary because numpy didn't provide annotations at the time when we added stubs to PySpark.
> Since numpy 1.20 (https://github.com/numpy/numpy/releases/tag/v1.20.0) numpy is PEP 561 compatible and these ignores are no longer necessary (current numpy version is 1.21).
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org