Hi everyone,

Like I said, we just use those to coerce SciPy arrays to native ones for compatibility. You could remove all those and the package would work fine, as long as you were using native PyData/Sparse arrays.

The only core functionality dependent on scipy.sparse is matrix multiplication and the like. Everything else is for inter-operability.

Best Regards,
Hameer Abbasi

On Friday, Oct 26, 2018 at 1:19 AM, Tyler Reddy <tyler.je.reddy@gmail.com> wrote:
What exactly would you like Cython wrappers for? Some of the C++ code in scipy/sparse/sparsetools?

I see you have COO.from_scipy_sparse(x) in some pydata/sparse code paths, which presumably you'd like to avoid or improve?

On Thu, 25 Oct 2018 at 03:41, Hameer Abbasi <einstein.edison@gmail.com> wrote:
Hi!

Sorry to miss this week’s meeting.

If I may point out an inaccuracy in the notes: in PyData/Sparse most things are implemented from the ground up without relying on scipy.sparse. The only part that does rely on it is `sparse.matmul`, `sparse.dot` and `sparse.tensordot`, as well as a few conversions to/from SciPy, if these could depend on Cython wrappers instead that’d be nice.

I should probably update the docs on that. If anyone is willing to discuss pydata/sparse with me, I’ll be available for a meeting anytime.

Best Regards,
Hameer Abbasi

On Thursday, Oct 25, 2018 at 12:08 AM, Stefan van der Walt <stefanv@berkeley.edu> wrote:
Hi all,

On Mon, 22 Oct 2018 09:56:37 +0300, Matti Picus wrote:
We therefore invite you to join us for our weekly calls,
each **Wednesday from 12:00 to 13:00 Pacific Time**.

Detail of the next meeting (2018-10-24) is given in the agenda

This week's meeting notes are at:

https://github.com/BIDS-numpy/docs/blob/master/status_meetings/status-2018-10-24.md

Stéfan
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