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- test failure with upstream-dev · 7 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 551142493 | https://github.com/pydata/xarray/issues/3409#issuecomment-551142493 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU1MTE0MjQ5Mw== | crusaderky 6213168 | 2019-11-07T15:59:01Z | 2019-11-07T15:59:01Z | MEMBER | @dcherian I didn't try running the PR code, but I don't think so? The PR may mean (must test) that nanmin() and nanmax() now work with NaT. However, as highlighted above https://github.com/pydata/xarray/issues/3409#issuecomment-544299242 xarray is invoking min() on an array that contains NaT - which in numpy 1.17 ignores them, while in 1.18 correctly returns NaT. Does anybody have the time to test it? |
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test failure with upstream-dev 508167922 | |
| 547625012 | https://github.com/pydata/xarray/issues/3409#issuecomment-547625012 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NzYyNTAxMg== | crusaderky 6213168 | 2019-10-29T20:54:42Z | 2019-10-29T20:54:42Z | MEMBER | Same problem:
|
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test failure with upstream-dev 508167922 | |
| 544299242 | https://github.com/pydata/xarray/issues/3409#issuecomment-544299242 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NDI5OTI0Mg== | crusaderky 6213168 | 2019-10-20T22:25:00Z | 2019-10-20T22:32:34Z | MEMBER | Narrowed down: ```python
triggered by: https://github.com/pydata/xarray/blob/0f7ab0e909d9b6272f734a0b6fa4318e9522d3a2/xarray/core/duck_array_ops.py#L372 |
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test failure with upstream-dev 508167922 | |
| 544294825 | https://github.com/pydata/xarray/issues/3409#issuecomment-544294825 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NDI5NDgyNQ== | crusaderky 6213168 | 2019-10-20T21:31:25Z | 2019-10-20T21:31:25Z | MEMBER | Looking more closely at the failing tests, there are actually two problems. One is with pandas/numpy git tip, and it only affects the upstream-dev test suite. The other is with pseudonetcdf-3.1, and it affects py36, py37, and upstream-dev. |
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test failure with upstream-dev 508167922 | |
| 544292376 | https://github.com/pydata/xarray/issues/3409#issuecomment-544292376 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NDI5MjM3Ng== | crusaderky 6213168 | 2019-10-20T21:03:19Z | 2019-10-20T21:03:19Z | MEMBER | It doesn't add up - the upstream ticket mentions an incompatibility with numpy 1.18. However, our failing tests are all running with numpy 1.17. |
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test failure with upstream-dev 508167922 | |
| 544263042 | https://github.com/pydata/xarray/issues/3409#issuecomment-544263042 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NDI2MzA0Mg== | crusaderky 6213168 | 2019-10-20T15:32:17Z | 2019-10-20T15:35:01Z | MEMBER | conda list (py36) before and after the breakage: ``` < boto3 1.9.252 py_0 conda-forge
|
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test failure with upstream-dev 508167922 | |
| 544262623 | https://github.com/pydata/xarray/issues/3409#issuecomment-544262623 | https://api.github.com/repos/pydata/xarray/issues/3409 | MDEyOklzc3VlQ29tbWVudDU0NDI2MjYyMw== | crusaderky 6213168 | 2019-10-20T15:27:40Z | 2019-10-20T15:34:41Z | MEMBER | This has now spread to all tests without pinned dependencies |
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test failure with upstream-dev 508167922 |
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