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,14371165,open,0,,,0,2024-04-12T17:30:51Z,2024-04-30T03:57:57Z,,MEMBER,,1,pydata/xarray/pulls/8933," - [ ] 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. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8933/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 2241095068,PR_kwDOAMm_X85sixE5,8935,Use Variable.stack instead of np.ravel,14371165,open,0,,,1,2024-04-12T23:04:35Z,2024-04-13T08:27:13Z,,MEMBER,,1,pydata/xarray/pulls/8935," - [ ] 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` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8935/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull