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- ⚠️ Nightly upstream-dev CI failed ⚠️ · 5 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1176365361 | https://github.com/pydata/xarray/issues/6716#issuecomment-1176365361 | https://api.github.com/repos/pydata/xarray/issues/6716 | IC_kwDOAMm_X85GHekx | dcherian 2448579 | 2022-07-06T15:29:47Z | 2022-07-06T15:29:55Z | MEMBER | Should be fixed on upstream pandas: https://github.com/pandas-dev/pandas/pull/47367 |
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⚠️ Nightly upstream-dev CI failed ⚠️ 1281386064 | |
| 1164514510 | https://github.com/pydata/xarray/issues/6716#issuecomment-1164514510 | https://api.github.com/repos/pydata/xarray/issues/6716 | IC_kwDOAMm_X85FaRTO | dcherian 2448579 | 2022-06-23T14:56:07Z | 2022-06-23T14:56:33Z | MEMBER | @keewis yes that's it! I saw it on flox and thought some default changed and hope they would fix it :) We definitely depend on the default creating non-overlapping intervals. |
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⚠️ Nightly upstream-dev CI failed ⚠️ 1281386064 | |
| 1164266611 | https://github.com/pydata/xarray/issues/6716#issuecomment-1164266611 | https://api.github.com/repos/pydata/xarray/issues/6716 | IC_kwDOAMm_X85FZUxz | spencerkclark 6628425 | 2022-06-23T10:57:10Z | 2022-06-23T10:57:10Z | MEMBER | 6717 should fix the time decoding errors. |
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⚠️ Nightly upstream-dev CI failed ⚠️ 1281386064 | |
| 1164256154 | https://github.com/pydata/xarray/issues/6716#issuecomment-1164256154 | https://api.github.com/repos/pydata/xarray/issues/6716 | IC_kwDOAMm_X85FZSOa | keewis 14808389 | 2022-06-23T10:44:59Z | 2022-06-23T10:45:29Z | MEMBER | @dcherian, do you have an idea about where the |
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⚠️ Nightly upstream-dev CI failed ⚠️ 1281386064 | |
| 1163812213 | https://github.com/pydata/xarray/issues/6716#issuecomment-1163812213 | https://api.github.com/repos/pydata/xarray/issues/6716 | IC_kwDOAMm_X85FXl11 | spencerkclark 6628425 | 2022-06-23T01:02:35Z | 2022-06-23T01:02:35Z | MEMBER | I will investigate these cftime failures more in a bit, but I suspect they may be related to these recent PRs in pandas. It appears they are working towards adding support for non-nanosecond-precision datetimes, which is quite an interesting development. |
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⚠️ Nightly upstream-dev CI failed ⚠️ 1281386064 |
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