issues: 2240600694
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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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2240600694 | PR_kwDOAMm_X85shCWz | 8933 | Use array_api compliant dtype | 14371165 | open | 0 | 0 | 2024-04-12T17:30:51Z | 2024-04-30T03:57:57Z | MEMBER | 1 | pydata/xarray/pulls/8933 |
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. |
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13221727 | pull |