pull_requests

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1 row where user = 2002703

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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
29671328 MDExOlB1bGxSZXF1ZXN0Mjk2NzEzMjg= 327 closed 0 Cleanly apply generic ndarrays to DataArray.groupby IamJeffG 2002703 This is special cased for np.ndarrays: applying to DataArrays is not only inefficient but would also be wrong if the applied function wanted to change metadata. Fixes #326 2015-02-20T03:47:15Z 2015-02-20T04:41:10Z 2015-02-20T04:41:08Z 2015-02-20T04:41:08Z 13cdb1eb4ac2f7b8ad88be705005dead93ef8356   0.4 799013 0 57ea69c8988baf3d12ac3775e762ff45bed7ee71 3e3c84203c3f20515bb8d21ec72e9dcc0e2a568b CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/327  

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CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);