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- ⚠️ Nightly upstream-dev CI failed ⚠️ · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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811074709 | https://github.com/pydata/xarray/issues/5077#issuecomment-811074709 | https://api.github.com/repos/pydata/xarray/issues/5077 | MDEyOklzc3VlQ29tbWVudDgxMTA3NDcwOQ== | mathause 10194086 | 2021-03-31T13:37:21Z | 2021-03-31T13:37:21Z | MEMBER | The other issues have to be fixed in cftime, right? |
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⚠️ Nightly upstream-dev CI failed ⚠️ 841476745 | |
808404576 | https://github.com/pydata/xarray/issues/5077#issuecomment-808404576 | https://api.github.com/repos/pydata/xarray/issues/5077 | MDEyOklzc3VlQ29tbWVudDgwODQwNDU3Ng== | mathause 10194086 | 2021-03-26T17:43:28Z | 2021-03-30T07:32:59Z | MEMBER | Minimal example: ```python import pandas as pd import cftime time_1 = cftime.DatetimeGregorian(2000, 1, 1) time_2 = cftime.DatetimeProlepticGregorian(2001, 1, 1) s = pd.Series([time_1, time_2]) s.rank(method="dense", numeric_only=False) ``` https://github.com/pydata/xarray/blob/643e89ee7201e8bc730dcde19c3dc1c34fbd1ed5/xarray/core/combine.py#L96 https://github.com/pydata/xarray/blob/643e89ee7201e8bc730dcde19c3dc1c34fbd1ed5/xarray/tests/test_combine.py#L856 Edit: To clarify - the example is supposed to raise a |
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⚠️ Nightly upstream-dev CI failed ⚠️ 841476745 | |
808403420 | https://github.com/pydata/xarray/issues/5077#issuecomment-808403420 | https://api.github.com/repos/pydata/xarray/issues/5077 | MDEyOklzc3VlQ29tbWVudDgwODQwMzQyMA== | mathause 10194086 | 2021-03-26T17:41:30Z | 2021-03-26T17:41:30Z | MEMBER | See Unidata/cftime#236 |
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⚠️ Nightly upstream-dev CI failed ⚠️ 841476745 |
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