issues: 1200581329
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1200581329 | PR_kwDOAMm_X842CG0x | 6475 | implement Zarr v3 spec support | 6528957 | closed | 0 | 13 | 2022-04-11T21:52:37Z | 2022-11-27T02:22:43Z | 2022-11-27T02:22:43Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6475 | This is a WIP PR that is intended for use only with a development branch of Zarr (specifically https://github.com/zarr-developers/zarr-python/pull/1006). I am using it to test the Zarr v3 spec support that is currently being added to The primary changes needed were:
- The v3 spec requires a path be specified when calling The good news is that these changes are quite small overall. Most changed lines in the tests involve optionally passing Other points that need consideration in regards to the spec
- a number of the tested data types including unicode strings, byte strings, complex floats, datetime arrays and structured arrays which are not part of the core v3 spec. We currently do implement these for the v3 spec in zarr-python in the same way they worked for v2, but the implementation is subject to change based on decisions around v3 protocol extensions related to these dtypes. A very rough initial draft of such extensions is at https://github.com/zarr-developers/zarr-specs/pull/135.
- cc @joshmoore, @rabernat, @MSanKeys963
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13221727 | pull |