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/7026#issuecomment-1244442964,https://api.github.com/repos/pydata/xarray/issues/7026,1244442964,IC_kwDOAMm_X85KLLFU,1970404,2022-09-12T20:48:04Z,2022-09-12T20:48:04Z,CONTRIBUTOR,"Since the 2022.06.0 release, the following tests have been failing in Debian and Ubuntu on big-endian systems:
```
=================================== FAILURES ===================================
__________________________ TestPandasIndex.test_join ___________________________

self = <xarray.tests.test_indexes.TestPandasIndex object at 0x3ff828b6ef0>

    def test_join(self) -> None:
        index1 = PandasIndex([""a"", ""aa"", ""aaa""], ""x"", coord_dtype=""<U3"")
        index2 = PandasIndex([""aa"", ""aaa"", ""aaaa""], ""x"", coord_dtype=""<U4"")
    
        expected = PandasIndex([""aa"", ""aaa""], ""x"")
        actual = index1.join(index2)
        print(actual.index)
        assert actual.equals(expected)
>       assert actual.coord_dtype == ""<U4""
E       AssertionError: assert dtype('>U4') == '<U4'
E        +  where dtype('>U4') = <xarray.core.indexes.PandasIndex object at 0x3ff716d5300>.coord_dtype

/usr/lib/python3/dist-packages/xarray/tests/test_indexes.py:267: AssertionError
----------------------------- Captured stdout call -----------------------------
Index(['aa', 'aaa'], dtype='object', name='x')
_______________________ TestPandasMultiIndex.test_concat _______________________

self = <xarray.tests.test_indexes.TestPandasMultiIndex object at 0x3ff82e70370>

    def test_concat(self) -> None:
        pd_midx = pd.MultiIndex.from_product(
            [[0, 1, 2], [""a"", ""b""]], names=(""foo"", ""bar"")
        )
        level_coords_dtype = {""foo"": np.int32, ""bar"": ""<U1""}
    
        midx1 = PandasMultiIndex(
            pd_midx[:2], ""x"", level_coords_dtype=level_coords_dtype
        )
        midx2 = PandasMultiIndex(
            pd_midx[2:], ""x"", level_coords_dtype=level_coords_dtype
        )
        expected = PandasMultiIndex(pd_midx, ""x"", level_coords_dtype=level_coords_dtype)
    
        actual = PandasMultiIndex.concat([midx1, midx2], ""x"")
        assert actual.equals(expected)
>       assert actual.level_coords_dtype == expected.level_coords_dtype
E       AssertionError: assert {'bar': dtype...type('int32')} == {'bar': '<U1'...numpy.int32'>}
E         Omitting 1 identical items, use -vv to show
E         Differing items:
E         {'bar': dtype('>U1')} != {'bar': '<U1'}
E         Full diff:
E         - {'bar': '<U1', 'foo': <class 'numpy.int32'>}
E         + {'bar': dtype('>U1'), 'foo': dtype('int32')}

/usr/lib/python3/dist-packages/xarray/tests/test_indexes.py:395: AssertionError
________________________ TestPandasMultiIndex.test_join ________________________

self = <xarray.tests.test_indexes.TestPandasMultiIndex object at 0x3ff828b6590>

    def test_join(self):
        midx = pd.MultiIndex.from_product([[""a"", ""aa""], [1, 2]], names=(""one"", ""two""))
        level_coords_dtype = {""one"": ""<U2"", ""two"": ""i""}
        index1 = PandasMultiIndex(midx, ""x"", level_coords_dtype=level_coords_dtype)
        index2 = PandasMultiIndex(midx[0:2], ""x"", level_coords_dtype=level_coords_dtype)
    
        actual = index1.join(index2)
        assert actual.equals(index2)
>       assert actual.level_coords_dtype == level_coords_dtype
E       AssertionError: assert {'one': dtype...type('int32')} == {'one': '<U2', 'two': 'i'}
E         Omitting 1 identical items, use -vv to show
E         Differing items:
E         {'one': dtype('>U2')} != {'one': '<U2'}
E         Full diff:
E         - {'one': '<U2', 'two': 'i'}
E         + {'one': dtype('>U2'), 'two': dtype('int32')}

/usr/lib/python3/dist-packages/xarray/tests/test_indexes.py:493: AssertionError
```
Full test log on IBM s390x with Ubuntu 22.10:
https://autopkgtest.ubuntu.com/results/autopkgtest-kinetic/kinetic/s390x/p/python-xarray/20220911_200538_24725@/log.gz","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1370494294
https://github.com/pydata/xarray/pull/3125#issuecomment-511551723,https://api.github.com/repos/pydata/xarray/issues/3125,511551723,MDEyOklzc3VlQ29tbWVudDUxMTU1MTcyMw==,1970404,2019-07-15T20:12:59Z,2019-07-15T20:12:59Z,CONTRIBUTOR,@max-sixty done in #3135,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,467856339
https://github.com/pydata/xarray/pull/3125#issuecomment-511459360,https://api.github.com/repos/pydata/xarray/issues/3125,511459360,MDEyOklzc3VlQ29tbWVudDUxMTQ1OTM2MA==,1970404,2019-07-15T15:51:34Z,2019-07-15T15:51:34Z,CONTRIBUTOR,"@max-sixty 

Yes, #2334 is still relevant, I recently rebased and added another XFAIL for a new test.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,467856339
https://github.com/pydata/xarray/issues/2063#issuecomment-408590300,https://api.github.com/repos/pydata/xarray/issues/2063,408590300,MDEyOklzc3VlQ29tbWVudDQwODU5MDMwMA==,1970404,2018-07-28T07:50:43Z,2018-07-28T07:50:43Z,CONTRIBUTOR,"This issue has gone away.  Weirdly, it seems to have happened after NumPy was upgraded to 1.14, and Dask was still at 0.16.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220
https://github.com/pydata/xarray/issues/2063#issuecomment-384776509,https://api.github.com/repos/pydata/xarray/issues/2063,384776509,MDEyOklzc3VlQ29tbWVudDM4NDc3NjUwOQ==,1970404,2018-04-26T20:20:59Z,2018-04-26T20:20:59Z,CONTRIBUTOR,"Same results with `dask: 0.17.2`.
Thanks for your help.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220
https://github.com/pydata/xarray/issues/2063#issuecomment-384756623,https://api.github.com/repos/pydata/xarray/issues/2063,384756623,MDEyOklzc3VlQ29tbWVudDM4NDc1NjYyMw==,1970404,2018-04-26T19:07:24Z,2018-04-26T19:07:24Z,CONTRIBUTOR,"I have `dask: 0.16.0` installed and there is a 0.17.2 out.
I'll try upgrading that and see if it helps.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220
https://github.com/pydata/xarray/issues/2063#issuecomment-384729424,https://api.github.com/repos/pydata/xarray/issues/2063,384729424,MDEyOklzc3VlQ29tbWVudDM4NDcyOTQyNA==,1970404,2018-04-26T17:48:31Z,2018-04-26T17:48:31Z,CONTRIBUTOR,"Thanks!

After adding:
```
import dask.array as da
```
I get:
```
numpy 1.07926
/usr/lib/python3/dist-packages/dask/array/reductions.py:297: RuntimeWarning: invalid value encountered in true_divide
  u = total / n
/usr/lib/python3/dist-packages/dask/array/numpy_compat.py:46: RuntimeWarning: invalid value encountered in true_divide
  x = np.divide(x1, x2, out)
dask 1.09559
pandas 1.0792573690414429
bottleneck 1.0792573690414429
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220
https://github.com/pydata/xarray/issues/2063#issuecomment-384631112,https://api.github.com/repos/pydata/xarray/issues/2063,384631112,MDEyOklzc3VlQ29tbWVudDM4NDYzMTExMg==,1970404,2018-04-26T12:56:06Z,2018-04-26T12:56:06Z,CONTRIBUTOR,"Hi, any ideas, please?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220
https://github.com/pydata/xarray/issues/2063#issuecomment-381666083,https://api.github.com/repos/pydata/xarray/issues/2063,381666083,MDEyOklzc3VlQ29tbWVudDM4MTY2NjA4Mw==,1970404,2018-04-16T16:29:56Z,2018-04-16T16:29:56Z,CONTRIBUTOR,"Thanks, here you go:
```
>>> xarray.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.candidate.1
python-bits: 32
OS: Linux
OS-release: 4.15.0-12-generic
machine: i686
processor: athlon
byteorder: little
LC_ALL: None
LANG: en_ZA.UTF-8
LOCALE: en_ZA.UTF-8

xarray: 0.10.3
pandas: 0.22.0
numpy: 1.13.3
...
bottleneck: 1.2.0
...
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,314670220