issue_comments: 359131278
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/pull/1840#issuecomment-359131278 | https://api.github.com/repos/pydata/xarray/issues/1840 | 359131278 | MDEyOklzc3VlQ29tbWVudDM1OTEzMTI3OA== | 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. |
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