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[GitHub] [spark] HyukjinKwon opened a new pull request #34028: [SPARK-36708][PYTHON] Support numpy.typing for annotating ArrayType in pandas API on Spark
HyukjinKwon opened a new pull request #34028:
URL: https://github.com/apache/spark/pull/34028
### What changes were proposed in this pull request?
This PR adds the support of understanding `numpy.typing` package that's added from NumPy 1.21.
### Why are the changes needed?
For user-friendly return type specification in type hints for function apply APIs in pandas API on Spark.
### Does this PR introduce _any_ user-facing change?
Yes, this PR will enable users to specify return type as `numpy.typing.NDArray[...]` to internally specify pandas UDF's return type.
For example,
```python
TBD
```
```
TBD
```
### How was this patch tested?
Unittest was added. I will add e2e test after https://github.com/apache/spark/pull/34007.
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[GitHub] [spark] HyukjinKwon commented on pull request #34028: [SPARK-36708][PYTHON] Support numpy.typing for annotating ArrayType in pandas API on Spark
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #34028:
URL: https://github.com/apache/spark/pull/34028#issuecomment-924842307
Will merge this soon in if there are no comments on this.
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[GitHub] [spark] HyukjinKwon commented on pull request #34028: [SPARK-36708][PYTHON] Support numpy.typing for annotating ArrayType in pandas API on Spark
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HyukjinKwon commented on pull request #34028:
URL: https://github.com/apache/spark/pull/34028#issuecomment-922605203
cc @ueshin @xinrong-databricks @itholic
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Merged to master.
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SparkQA commented on pull request #34028:
URL: https://github.com/apache/spark/pull/34028#issuecomment-922629769
**[Test build #143446 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/143446/testReport)** for PR 34028 at commit [`37933e3`](https://github.com/apache/spark/commit/37933e3d1f699f3ed92ab8ca6414532116bca96d).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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