pull_requests: 1820599731
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id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
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1820599731 | PR_kwDOAMm_X85shCWz | 8933 | open | 0 | Use array_api compliant dtype | 14371165 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [ ] Closes #xxxx - [ ] Tests added - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` Notes: * For duckarrays, use _dtype[_generic] * For actual np.ndarrays, use np.dtype[np.generic] * np.dtype is too specific in general and it's probably not needed in most of their array_api functions. * _DTypeBase-class in np? * Mixing dtypes from np and xp is discouraged: https://github.com/data-apis/array-api/issues/582 * Using asarray seems to be the recommended way. | 2024-04-12T17:30:51Z | 2024-04-30T03:57:57Z | 661193d4158e38e49efebc60bb216de644bb2cb5 | 1 | f551679489de6d0c60eae09a7b9b9808aebeb867 | 08e43b9121a6ae1f59e5c6b84caa327d816ea777 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/8933 |
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