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41 rows where labels_id = 1448559775

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Link labels_id pull_requests_id
1448559775,278088105 topic-arrays 1448559775 Picking up #1118: Do not convert subclasses of `ndarray` unless required 278088105
1448559775,309978038 topic-arrays 1448559775 tests for arrays with units 309978038
1448559775,354872657 topic-arrays 1448559775 Pint support for DataArray 354872657
1448559775,447356800 topic-arrays 1448559775 Add initial cupy tests 447356800
1448559775,581423521 topic-arrays 1448559775 Automatic duck array testing - reductions 581423521
1448559775,682255419 topic-arrays 1448559775 Plots get labels from pint arrays 682255419
1448559775,682863283 topic-arrays 1448559775 Add to_numpy() and as_numpy() methods 682863283
1448559775,683849249 topic-arrays 1448559775 Faster unstacking to sparse 683849249
1448559775,760167667 topic-arrays 1448559775 Allow indexing unindexed dimensions using dask arrays 760167667
1448559775,764455744 topic-arrays 1448559775 Use .to_numpy() for quantified facetgrids  764455744
1448559775,779012357 topic-arrays 1448559775 Added ramba to duck type. 779012357
1448559775,999171192 topic-arrays 1448559775 Support NumPy array API (experimental) 999171192
1448559775,1009012459 topic-arrays 1448559775 Bump minimum numpy version to 1.20 1009012459
1448559775,1021852804 topic-arrays 1448559775 Duckarray tests for constructors and properties 1021852804
1448559775,1032111288 topic-arrays 1448559775 Enable taking the mean of dask-backed cftime arrays 1032111288
1448559775,1052339012 topic-arrays 1448559775 Generalize handling of chunked array types 1052339012
1448559775,1053794502 topic-arrays 1448559775 Remove dask_array_type checks 1053794502
1448559775,1064276477 topic-arrays 1448559775 More Array API changes 1064276477
1448559775,1089738782 topic-arrays 1448559775 Lazy Imports 1089738782
1448559775,1170557637 topic-arrays 1448559775 Make `broadcast` and `concat` work with the Array API 1170557637
1448559775,1172881488 topic-arrays 1448559775 implement `isnull` using `full_like` instead of `zeros_like` 1172881488
1448559775,1188363894 topic-arrays 1448559775 array api - Add tests for aggregations 1188363894
1448559775,1210479701 topic-arrays 1448559775 Lint with ruff 1210479701
1448559775,1230953781 topic-arrays 1448559775 [pre-commit.ci] pre-commit autoupdate 1230953781
1448559775,1254838147 topic-arrays 1448559775 Support first, last with dask arrays 1254838147
1448559775,1335673210 topic-arrays 1448559775 Generalize delayed 1335673210
1448559775,1337758866 topic-arrays 1448559775 Array API fixes for astype 1337758866
1448559775,1341164035 topic-arrays 1448559775 Improve concat performance 1341164035
1448559775,1383426204 topic-arrays 1448559775 Test array api protocol 1383426204
1448559775,1448840491 topic-arrays 1448559775 Generalize cumulative reduction (scan) to non-dask types 1448840491
1448559775,1540011717 topic-arrays 1448559775 Use duck array ops in more places 1540011717
1448559775,1557590401 topic-arrays 1448559775 Handle numpy missing the array api function astype 1557590401
1448559775,1558999807 topic-arrays 1448559775 Move parallelcompat and chunkmanagers to NamedArray 1558999807
1448559775,1573490771 topic-arrays 1448559775 Use `opt_einsum` by default if installed. 1573490771
1448559775,1577658012 topic-arrays 1448559775 Use numbagg for `ffill` by default 1577658012
1448559775,1616531507 topic-arrays 1448559775 import from the new location of `normalize_axis_index` if possible 1616531507
1448559775,1658330289 topic-arrays 1448559775 ddof vs correction kwargs in std/var 1658330289
1448559775,1713008160 topic-arrays 1448559775 Only use CopyOnWriteArray wrapper on BackendArrays 1713008160
1448559775,1713283636 topic-arrays 1448559775 Avoid coercing to numpy in `as_shared_dtypes` 1713283636
1448559775,1717865707 topic-arrays 1448559775 (feat): Support for `pandas` `ExtensionArray` 1717865707
1448559775,1779870325 topic-arrays 1448559775 array api-related upstream-dev failures 1779870325

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CREATE TABLE [labels_pull_requests] (
   [labels_id] INTEGER REFERENCES [labels]([id]),
   [pull_requests_id] INTEGER REFERENCES [pull_requests]([id]),
   PRIMARY KEY ([labels_id], [pull_requests_id])
);
CREATE INDEX [idx_labels_pull_requests_pull_requests_id]
    ON [labels_pull_requests] ([pull_requests_id]);
CREATE INDEX [idx_labels_pull_requests_labels_id]
    ON [labels_pull_requests] ([labels_id]);
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