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/issues/6906#issuecomment-1238053690,https://api.github.com/repos/pydata/xarray/issues/6906,1238053690,IC_kwDOAMm_X85JyzM6,915118,2022-09-06T12:03:25Z,2022-09-06T12:03:25Z,NONE,"Both code fragments work on s390x as described. This is for pandas 1.4.3 and xarray 2022.06.0.
The commit in #6988 solves the issue.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1334835539
https://github.com/pydata/xarray/issues/6906#issuecomment-1236711701,https://api.github.com/repos/pydata/xarray/issues/6906,1236711701,IC_kwDOAMm_X85JtrkV,915118,2022-09-05T08:46:09Z,2022-09-05T08:46:09Z,NONE,"@spencerkclark That works on s390x too (same output).

we have CI:
https://ci.debian.net/packages/p/python-xarray/unstable/s390x/
https://ci.debian.net/packages/p/python-xarray/unstable/i386/

Its working ok on Arm, but failing i386 (32-bi) and s390x (64-bit).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1334835539
https://github.com/pydata/xarray/issues/6906#issuecomment-1224596259,https://api.github.com/repos/pydata/xarray/issues/6906,1224596259,IC_kwDOAMm_X85I_dsj,915118,2022-08-23T18:44:42Z,2022-08-23T18:44:42Z,NONE,The code snippet succeeds on s390x in the environment.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1334835539
https://github.com/pydata/xarray/issues/6906#issuecomment-1210934837,https://api.github.com/repos/pydata/xarray/issues/6906,1210934837,IC_kwDOAMm_X85ILWY1,915118,2022-08-10T16:11:22Z,2022-08-10T16:11:22Z,NONE,"INSTALLED VERSIONS
------------------
commit: None
python: 3.10.5 (main, Jun  8 2022, 09:26:22) [GCC 11.3.0]
python-bits: 64
OS: Linux
OS-release: 5.10.0-16-s390x
machine: s390x
processor:
byteorder: big
LC_ALL: None
LANG: None
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.10.7
libnetcdf: 4.9.0

xarray: 0.16.1
pandas: 1.3.5
numpy: 1.21.5
scipy: 1.8.1
netCDF4: 1.6.0
pydap: None
h5netcdf: 1.0.2
h5py: 3.7.0
Nio: None
zarr: 2.12.0
cftime: 1.6.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.3.0
cfgrib: 0.9.10.1
iris: None
bottleneck: 1.3.2
dask: 2022.02.0+dfsg
distributed: None
matplotlib: 3.5.2
cartopy: 0.20.3
seaborn: 0.11.2
numbagg: None
fsspec: 2022.5.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 59.6.0
pip3: None
conda: None
pytest: 7.1.2
IPython: 7.31.1
sphinx: 4.5.0","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1334835539
https://github.com/pydata/xarray/issues/2167#issuecomment-391367586,https://api.github.com/repos/pydata/xarray/issues/2167,391367586,MDEyOklzc3VlQ29tbWVudDM5MTM2NzU4Ng==,915118,2018-05-23T14:27:29Z,2018-05-23T14:27:29Z,NONE,"Ok, verified that updating dask fixes this issue.
Thanks
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,325172935