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2 rows where "created_at" is on date 2024-04-12, state = "open" and user = 14371165 sorted by updated_at descending
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2240600694 | PR_kwDOAMm_X85shCWz | 8933 | Use array_api compliant dtype | Illviljan 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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xarray 13221727 | pull | ||||||
| 2241095068 | PR_kwDOAMm_X85sixE5 | 8935 | Use Variable.stack instead of np.ravel | Illviljan 14371165 | open | 0 | 1 | 2024-04-12T23:04:35Z | 2024-04-13T08:27:13Z | MEMBER | 1 | pydata/xarray/pulls/8935 |
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xarray 13221727 | pull |
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