issue_comments
4 rows where author_association = "CONTRIBUTOR" and issue = 235761029 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Automate interpretation of _Unsigned attribute · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
315620355 | https://github.com/pydata/xarray/pull/1453#issuecomment-315620355 | https://api.github.com/repos/pydata/xarray/issues/1453 | MDEyOklzc3VlQ29tbWVudDMxNTYyMDM1NQ== | deeplycloudy 1325771 | 2017-07-16T16:29:10Z | 2017-07-16T16:29:10Z | CONTRIBUTOR | Tests now pass after I realized I wasn't converting the _FillValue to unsigned. I also turned off PyNIO's internal support for masking, in keeping with the philosophy that Note that some of the CI builds are skipping most of their tests (e.g, py=3.4; you can tell by the run time). This is a problem in other PRs as well. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automate interpretation of _Unsigned attribute 235761029 | |
309767695 | https://github.com/pydata/xarray/pull/1453#issuecomment-309767695 | https://api.github.com/repos/pydata/xarray/issues/1453 | MDEyOklzc3VlQ29tbWVudDMwOTc2NzY5NQ== | deeplycloudy 1325771 | 2017-06-20T14:11:36Z | 2017-06-20T14:11:36Z | CONTRIBUTOR | The CI fail is for 2.7/cdat/pynio in a couple of my new tests. In one, the fill value is not being applied, while in the other the unsigned conversion isn't happening. Are there any known differences in that cdat/pynio stack that would cause these to fail while others pass? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automate interpretation of _Unsigned attribute 235761029 | |
309623307 | https://github.com/pydata/xarray/pull/1453#issuecomment-309623307 | https://api.github.com/repos/pydata/xarray/issues/1453 | MDEyOklzc3VlQ29tbWVudDMwOTYyMzMwNw== | deeplycloudy 1325771 | 2017-06-20T02:03:12Z | 2017-06-20T02:03:12Z | CONTRIBUTOR | I've created a new |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automate interpretation of _Unsigned attribute 235761029 | |
308326393 | https://github.com/pydata/xarray/pull/1453#issuecomment-308326393 | https://api.github.com/repos/pydata/xarray/issues/1453 | MDEyOklzc3VlQ29tbWVudDMwODMyNjM5Mw== | deeplycloudy 1325771 | 2017-06-14T05:49:52Z | 2017-06-14T05:49:52Z | CONTRIBUTOR | In addition to the included (basic) test I've also tested this with the real-world data that motivated the PR and #1444. While it's a working draft, I'd welcome comments on the basic approach and appropriateness of the test coverage. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automate interpretation of _Unsigned attribute 235761029 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1