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tags: NumPy, triage
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# 2025-09-03 NumPy triage meeting

- Time: 17:00 (5 pm) UTC
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- [Documentation team meetings notes archive](https://github.com/numpy/archive/tree/main/docs_team_meetings)

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**Present**: Matti Picus, Tyler Reddy, Chuck Harris, Nathan Goldbaum, Riku Sakamoto, Raghuveer Devulapalli, Inessa Pawson, Joren Hammudoglu, Sam Morley, Sebastian Berg

## Follow up from previous meetings
- [PR 29537](https://github.com/numpy/numpy/pull/29537) to improve np.unique for complex, float: it seems to improve somewhere around 10% for float, and 3-4x for complex!
- Does it slow down for small arrays?
- Copilot added some comments
- The benchmarks should be part of our benchmark suite.
- Discuss resolution for https://github.com/numpy/numpy/issues/29560
- There is an intentional error when compiling for KnightsLanding CPU. This code has existed for over a year, with no complaints. There is user who hit this, so we need to fix it.
- intel/x86-simd-sort will probably not be maintained by Intel going forward. Needs a new home.
- We can fork or move it to the numpy org, Raghuveer will take on admin responsibilities.
- [Issue 28287](https://github.com/numpy/numpy/issues/28287) to deprecate `generic` unit for timedelta
- Does this deprecation make sense?
- Do you have any concerns?
- Who should we ping regarding this decision? (Sebastian suggests pandas members)

## New topics

- We should push the unique forward
- A few questions about implementation (-0 vs 0) and NaN tests
- Let's not worry about new benchmarks being put in
- Let's do it, even if there may not be many use-cases (float/complex unique is a bit niche and the gain is not as big as either).

## Action items

- Let's try to block out some time in the next meeting to go through PRs with the ENH label (there are around 100!) to try to close a bunch of them.

## Backlog

* [PRs and issues labelled with "triage review"](https://github.com/numpy/numpy/labels/triage%20review)
* https://github.com/numpy/numpy/pull/29389
* https://github.com/numpy/numpy/pull/29557
* [Open PRs - ](https://github.com/numpy/numpy/pulls)- aim to keep below 150
* [Open PRs from first-time contributors](https://github.com/orgs/numpy/projects/5)
* [Inactive PRs](https://github.com/orgs/numpy/projects/6)

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#### Presentation topics for NumPy Newcomers’ Hour
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