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5 rows where user = 3404817

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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
94598132 MDExOlB1bGxSZXF1ZXN0OTQ1OTgxMzI= 1133 closed 0 use safe_cast_to_index to sanitize DataArrays for groupby j08lue 3404817 Fixes https://github.com/pydata/xarray/issues/1132 Let me know whether this is a valid bug fix or I am misunderstanding something. 2016-11-21T11:33:08Z 2016-12-19T17:12:31Z 2016-12-19T17:11:57Z 2016-12-19T17:11:57Z 34fd2b6cb94dfb824c5371c37b6eb5e70a88260f     0 1270b7657594daf6e87ff53a792d26e98f7eb08a 260674d19a2c04a6b5f2c1d7369eb2eef26926b0 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1133  
99329067 MDExOlB1bGxSZXF1ZXN0OTkzMjkwNjc= 1184 closed 0 Add test for issue 1140 j08lue 3404817 #1140 2016-12-25T20:37:16Z 2017-03-30T23:08:40Z 2017-03-30T23:08:40Z   346779b42a4807d34a5314eb4bf362faac0627a9     0 ebc7702edaf4c4e4212d763021d181483c286953 88cc396f5117c09c76e15d6383aeca32b4d4a8bd CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1184  
165583120 MDExOlB1bGxSZXF1ZXN0MTY1NTgzMTIw 1863 closed 0 test decoding num_dates in float types j08lue 3404817 - [x] Closes #1859 - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) - [x] try to find the origin of the difference in behaviour between `v0.10.0` and current base 2018-01-28T19:34:52Z 2018-02-10T12:16:26Z 2018-02-02T02:01:47Z 2018-02-02T02:01:47Z becd77c44d9436a142db4a98de2b30d388ee6d2b     0 d1659b66d4b93ea4cf67281c761fb1dd7cf315b5 015daca45bd7be32377bdf429c02117d5955452c CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1863  
172975968 MDExOlB1bGxSZXF1ZXN0MTcyOTc1OTY4 1965 closed 0 avoid integer overflow when decoding large time numbers j08lue 3404817 The issue: `int32` time data in seconds or so leads to an overflow in time decoding. This is in way the back side of #1859: By ensuring that `_NS_PER_TIME_DELTA` is integer, we got rid of round-off errors that were due to casting to float but now we are getting `int` overflow in this line: https://github.com/pydata/xarray/blob/0e73e240107caee3ffd1a1149f0150c390d43251/xarray/coding/times.py#L169-L170 e.g. '2001-01-01' in `seconds since 1970-01-01` means `np.array([978307200]) * int(1e9)` which gives `288686080` that gets decoded to '1970-01-01T00:00:00.288686080' -- note also the trailing digits. Something is very wrong here. - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) - [x] Fully documented, including `whats-new.rst` for all changes 2018-03-05T20:21:20Z 2018-05-01T12:41:28Z 2018-05-01T12:41:28Z   f63ee22022040a325e2965d0fd704454c7f44c78     0 9f852780219088f2d3efdecf4ec787e00fcf334f 33095885e6a4d7b2504ced5d9d4d34f1d6e872e2 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1965  
185131284 MDExOlB1bGxSZXF1ZXN0MTg1MTMxMjg0 2096 closed 0 avoid integer overflow when decoding large time numbers j08lue 3404817 - [x] Closes #1965 - [x] Tests added (for all bug fixes or enhancements) - [ ] Tests passed (for all non-documentation changes) - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2018-05-01T07:02:24Z 2018-05-01T12:41:13Z 2018-05-01T12:41:08Z   1017f0396a086218e030ce2348827ce62c25c10a     0 2bfd60ca95a759dc38d4cc7288f21b9a978976ee d1e1440dc5d0bc9c341da20fde85b56f2a3c1b5b CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/2096  

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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]);
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