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2 rows where issue = 733789095 and user = 10194086 sorted by updated_at descending

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  • mathause · 2 ✖

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  • Dask friendly check in `.weighted()` · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
724119273 https://github.com/pydata/xarray/pull/4559#issuecomment-724119273 https://api.github.com/repos/pydata/xarray/issues/4559 MDEyOklzc3VlQ29tbWVudDcyNDExOTI3Mw== mathause 10194086 2020-11-09T16:22:51Z 2020-11-09T16:22:51Z MEMBER

Thanks @jbusecke

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  Dask friendly check in `.weighted()` 733789095
720164541 https://github.com/pydata/xarray/pull/4559#issuecomment-720164541 https://api.github.com/repos/pydata/xarray/issues/4559 MDEyOklzc3VlQ29tbWVudDcyMDE2NDU0MQ== mathause 10194086 2020-11-01T22:53:24Z 2020-11-01T22:53:24Z MEMBER

I think you need to do someting along the lines of:

python if dask_duck_array(weights): import dask.array as dsa dsa.map_blocks(_weight_check, weights.data, dtype=weights.dtype) else: _weight_check()

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  Dask friendly check in `.weighted()` 733789095

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);
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