2023-10-05

Attending: Sanket Verma (SV), Josh Moore (JM), Thomas Nicholas (TN), Jonathan Striebel (JS), Jeremy Maitin-Shepard (JMS)

TL;DR:

In this meeting, attendees shared their favorite books as a fun introduction. The discussions revolved around various GitHub issues and pull requests, including considerations for making a store less explicit, clarifying certain points, and addressing implementation details. Jeremy Maitin-Shepard highlighted the successful 100% V3 implementation in Neuroglancer and Tensorstore, while Thomas Nicholas expressed interest in performance improvements, particularly regarding variable chunking in Zarr-Python. Plans to finalize ZEP0003 for voting were also mentioned.

Meeting Minutes:

• Introductions with favourite book
  • SV: ASOF by GRR Martin
  • TN: Dispossessed
  • JS: Hitchhicker’s Guide to Galaxy
  • JM: Kingkiller Triology (Rothfuss) — can HIGHLY recommend. Beware: only 2 of the 3 books is written.
• Issues and PRs to look at:
  • https://github.com/zarr-developers/zarr-specs/issues/266
    • JS and JMS: Mostly an implementation detail
    • JMS: Make store less explicit
    • JS: Should not enforce the parameter; will send a PR after 2 weeks
  • https://github.com/zarr-developers/zarr-specs/issues/241
    • JMS: Will try to make it more clear
  • https://github.com/zarr-developers/zarr-specs/pull/263
    • JMS: Chris Barnes’ implementation hasn’t made the change yet
    • SV: Send an email for this to ZIC
• JMS: https://github.com/zarr-developers/zarr-specs/pull/264
  • JS: Fortran array needs to be inverted
  • JMS: C and Fortran array are contiguous in different ways
• JMS: Neuroglancer and Tensorstore has 100% V3 implementation 🎉
  • Working on some CI issues and will merge it
• JM: https://github.com/ome/ngff/pull/206
• TN: Cubed discussions
  • Anything which increases the performance would be useful - interested in Jack’s work
  • How can we get variable chunking into Zarr-Python?
  • SV: Needs to finalise the ZEP0003 - will go into voting soon!