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status_meetings/status-2019-06-19.md

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---
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tags: NumPy
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---
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# 2019-06-19 NumPy Development Meeting
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- Join via Zoom at https://berkeley.zoom.us/j/762261535
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- [Trello workboard](https://trello.com/b/Azg4fYZH/numpy-at-bids)
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- [Previous meetings](https://github.com/BIDS-numpy/docs/tree/master/status_meetings)
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**Present:** Sebastian, Matti, Chuck
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## Follow-up from last meeting / discussions
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- Talk for SciPy2019
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- We need data to show how the grant has affected the project
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- Nelle responded to a private mail but has not yet provided data
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- Talk so far is in [the repo](https://gitlab.com/numpy/scipy2019-presentation-insidenumpy)---note that this is a private repo
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- Long term sustainability of development (and continued funded development) is on our mind; Tyler is heading back to Los Alamos end of this week
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- 1.17 release upcoming: review PRs/Issues marked with [1.17 milestone](https://github.com/numpy/numpy/milestone/62). At last count there are 9 open issues and 5 open PRs with the milestone, maybe just start bumping issues at this point
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- [PR #13764](https://github.com/numpy/numpy/issues/13764) should be merged, moves windll code to a `_distributor_init.py` file when using OpenBlas on Windows
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- 4 of the PRs have to do with random, see below.
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- Random generator work
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- How many BitGenerators to include: the general concensus is to include a minimum rather than a maximum, and to use PCG64 as the default. Matti will submitted PRs to implement this decision.
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- Create bitgenerator repo for the moment.
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- PR for SeedSequence as a way to seed the BitGenerators
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- Would it help for the full-time devs to submit a PR to randomgen to update it for the changes:
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- Base class for BitGenerator
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- SeedSequence
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- 1.18 plans: If it is a "settle down" release, how do we approach larger code changes i.e. for dtypes?
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## Topics
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## Additional Details
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- Matti
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- The windll change began a push to move OpenBLAS handling to a central pytohn-based file rather than have each CI system in MacPython/numpy-wheels have its own solution. Still thinking about how to do this cleanly.
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- Gave a talk at a community college's computer engineering seminar about open source, python, jupyter.
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- Figured out how to link to cpython documentation in sphinx: `:ref:c:member:PyTypeObject.tp_as_number`
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- Sebastian
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- Mocked up a possible approach for dtypes at: https://github.com/seberg/numpy_dtype_prototype
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- Maybe present it at a BOF session at SciPy (Chuck)?
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- Hameer
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- PR for NEP Template: [#13766](https://github.com/numpy/numpy/pull/13766).
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- Looking for feedback.
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