pull_requests

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1 row where user = 4806678

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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
742636975 PR_kwDOAMm_X84sQ72v 5819 closed 0 Add Darts to ecosystem file hrzn 4806678 Since recently, Darts uses `DataArray` as the core data structure underpinning its `TimeSeries` class to represent all time series in the library. It's working great for us, so I also want to take the chance to thank the xarray community here! 2021-09-25T07:16:37Z 2021-09-27T15:55:51Z 2021-09-25T16:45:49Z 2021-09-25T16:45:49Z e422e4bbc92151268eec50e4675d14ed5f174e74     0 f2aa7d42e6be4640aed09f6cf7994a869f3ef952 ed94afbd5398e208762bce3341ab7fb0fbc1977d CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/5819  

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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]);