issue_comments
1 row where issue = 289853579 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Read small integers as float32, not float64 · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 359131278 | https://github.com/pydata/xarray/pull/1840#issuecomment-359131278 | https://api.github.com/repos/pydata/xarray/issues/1840 | MDEyOklzc3VlQ29tbWVudDM1OTEzMTI3OA== | shoyer 1217238 | 2018-01-20T01:06:07Z | 2018-01-20T01:06:07Z | MEMBER | As mentioned in https://github.com/pydata/xarray/issues/1842, maybe we should also make a point not to upcast float32 input? One possible concern with changing precision from float64 -> float32 is that some reduce operations like mean could become due to lower precision. So it's a good think @fujiisoup wrote https://github.com/pydata/xarray/pull/1841 so we can specify With regards to Hypothesis: I haven't used it, but it does seem very intriguing. I'm sure that it could turn up quite a few bugs in xarray. Would it make sense to add it as an optional dependency to the test suite? Even if we use Hypothesis to cover more edge cases, I think we will still want normal test coverage for most behavior. |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Read small integers as float32, not float64 289853579 |
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