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52 rows where labels_id = 2746708206

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Link labels_id issues_id
182667672,2746708206 topic-rolling 2746708206 center=True for xarray.DataArray.rolling() 182667672
307783090,2746708206 topic-rolling 2746708206 rolling: allow control over padding 307783090
376154741,2746708206 topic-rolling 2746708206 DataArray.rolling() does not preserve chunksizes in some cases 376154741
376162232,2746708206 topic-rolling 2746708206 [WIP] Fix problem with wrong chunksizes when using rolling_window on dask.array 376162232
400444797,2746708206 topic-rolling 2746708206 Enable resampling on PeriodIndex 400444797
462424005,2746708206 topic-rolling 2746708206 xarray rolling does not match pandas when using min_periods and reduce 462424005
473692721,2746708206 topic-rolling 2746708206 rolling: bottleneck still not working properly with dask arrays 473692721
480753417,2746708206 topic-rolling 2746708206 Feature request: time-based rolling window functionality 480753417
488547784,2746708206 topic-rolling 2746708206 xarray, chunking and rolling operation adds chunking along new dimension (previously worked) 488547784
496688781,2746708206 topic-rolling 2746708206 Feature requests for DataArray.rolling 496688781
512879550,2746708206 topic-rolling 2746708206 [feature request] __iter__() for rolling-window on datasets 512879550
535686852,2746708206 topic-rolling 2746708206 Strided rolling 535686852
535703663,2746708206 topic-rolling 2746708206 Feature Request: Efficient rolling with strides 535703663
675482176,2746708206 topic-rolling 2746708206 Optimize ndrolling nanreduce 675482176
744274576,2746708206 topic-rolling 2746708206 drop keyword in ds.rolling(time=7, drop=True).mean()? 744274576
809366777,2746708206 topic-rolling 2746708206 Better rolling reductions 809366777
811321550,2746708206 topic-rolling 2746708206 Bottleneck and dask objects ignore `min_periods` on `rolling` 811321550
819241806,2746708206 topic-rolling 2746708206 fix bottleneck + Dask 1D rolling operations 819241806
944714417,2746708206 topic-rolling 2746708206 Allow no padding for rolling windows 944714417
1030768250,2746708206 topic-rolling 2746708206 Rolling() gives values different from pd.rolling() 1030768250
1289174987,2746708206 topic-rolling 2746708206 "center" kwarg ignored when manually iterating over DataArrayRolling 1289174987
1292142108,2746708206 topic-rolling 2746708206 improve typing of DataArray and Dataset reductions 1292142108
1301023040,2746708206 topic-rolling 2746708206 DataArrayRolling.mean() ignores `skipna=True` kwarg 1301023040
1368740629,2746708206 topic-rolling 2746708206 Generalize handling of chunked array types 1368740629
1370063272,2746708206 topic-rolling 2746708206 Inconsistent behavior between `DatasetRolling.construct` and `DataArrayRolling.construct` with stride > 1. 1370063272
1376479521,2746708206 topic-rolling 2746708206 Add Ellipsis typehint to reductions 1376479521
1381297782,2746708206 topic-rolling 2746708206 Better dtype preservation for rolling mean on dask array 1381297782
1426387580,2746708206 topic-rolling 2746708206 Ensure Coarsen.construct keeps all coords 1426387580
1550109629,2746708206 topic-rolling 2746708206 bump minimum versions, drop py38 1550109629
1573161497,2746708206 topic-rolling 2746708206 [pre-commit.ci] pre-commit autoupdate 1573161497
1607502760,2746708206 topic-rolling 2746708206 Removed `.isel` for `DatasetRolling.construct` consistent rolling behavior 1607502760
1665260014,2746708206 topic-rolling 2746708206 Fix typing errors using mypy 1.2 1665260014
1692909704,2746708206 topic-rolling 2746708206 Generalize delayed 1692909704
1695244129,2746708206 topic-rolling 2746708206 Array API fixes for astype 1695244129
1801393806,2746708206 topic-rolling 2746708206 Document that Coarsen accepts coord func as callable 1801393806
1822860755,2746708206 topic-rolling 2746708206 (chore) min versions bump 1822860755
1855291078,2746708206 topic-rolling 2746708206 Consistently report all dimensions in error messages if invalid dimensions are given 1855291078
1865945636,2746708206 topic-rolling 2746708206 Move `.rolling_exp` functions from `reduce` to `apply_ufunc` 1865945636
1888589610,2746708206 topic-rolling 2746708206 Fix typos 1888589610
1899893200,2746708206 topic-rolling 2746708206 Start a list of modules which require typing 1899893200
1901722232,2746708206 topic-rolling 2746708206 Rewrite typed_ops 1901722232
1902155047,2746708206 topic-rolling 2746708206 Use a bound `TypeVar` for `DataArray` and `Dataset` methods 1902155047
1931581491,2746708206 topic-rolling 2746708206 Enable `.rolling_exp` to work on dask arrays 1931581491
1931582554,2746708206 topic-rolling 2746708206 Add `min_weight` param to `rolling_exp` functions 1931582554
1943054301,2746708206 topic-rolling 2746708206 Add `corr`, `cov`, `std` & `var` to `.rolling_exp` 1943054301
1943902321,2746708206 topic-rolling 2746708206 Add cross-links to API docstring from tutorial and user-guide 1943902321
1945654275,2746708206 topic-rolling 2746708206 Move parallelcompat and chunkmanagers to NamedArray 1945654275
1948037836,2746708206 topic-rolling 2746708206 internal: Improve version handling for numbagg 1948037836
1966733834,2746708206 topic-rolling 2746708206 Use numbagg for `ffill` by default 1966733834
2000146978,2746708206 topic-rolling 2746708206 Consolidate `_get_alpha` func 2000146978
2010797682,2746708206 topic-rolling 2746708206 Refine rolling_exp error messages 2010797682
2019309352,2746708206 topic-rolling 2746708206 Use numbagg for `rolling` methods 2019309352

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CREATE TABLE [issues_labels] (
   [labels_id] INTEGER REFERENCES [labels]([id]),
   [issues_id] INTEGER REFERENCES [issues]([id]),
   PRIMARY KEY ([issues_id], [labels_id])
);
CREATE INDEX [idx_issues_labels_issues_id]
    ON [issues_labels] ([issues_id]);
CREATE INDEX [idx_issues_labels_labels_id]
    ON [issues_labels] ([labels_id]);
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