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/6902#issuecomment-1210890337,https://api.github.com/repos/pydata/xarray/issues/6902,1210890337,IC_kwDOAMm_X85ILLhh,13684161,2022-08-10T15:42:33Z,2022-08-10T15:42:33Z,NONE,Added a synthetic test case for various configurations in xarray-contrib/flox#131,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1333514579
https://github.com/pydata/xarray/issues/6902#issuecomment-1209641946,https://api.github.com/repos/pydata/xarray/issues/6902,1209641946,IC_kwDOAMm_X85IGava,14371165,2022-08-09T17:05:35Z,2022-08-09T17:07:08Z,MEMBER,"It's not crashing for me, but the dtype is not the same when switching flox on/off:
```python
ds = xr.tutorial.load_dataset(""air_temperature"")
assert ds.air.dtype == np.float32
for use_flox in (False, True):
with xr.set_options(use_flox=use_flox):
ds_mean = ds.groupby(""time.month"").mean(dtype=""float64"").compute()
actual = ds_mean.air.dtype
expected = np.float64
print(f""{use_flox=}, {actual=}, {expected=}"")
assert actual == expected
# use_flox=False, actual=dtype('float64'), expected=
# use_flox=True, actual=dtype('float32'), expected=
```
`xr.show_versions()`
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:50:36) [MSC v.1929 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 0.16.3.dev99+gc19467fb
pandas: 1.4.2
numpy: 1.22.4
scipy: 1.8.1
netCDF4: 1.5.8
pydap: installed
h5netcdf: 1.0.0
h5py: 3.6.0
Nio: None
zarr: 2.11.3
cftime: 1.6.0
nc_time_axis: 1.4.1
PseudoNetCDF: 3.2.2
rasterio: 1.2.10
cfgrib: None
iris: 3.2.1
bottleneck: 1.3.4
dask: 2022.6.0
distributed: 2022.6.0
matplotlib: 3.5.2
cartopy: 0.20.2
seaborn: 0.11.2
numbagg: 0.2.1
fsspec: 2022.7.1
cupy: None
pint: 0.19.2
sparse: 0.13.0
flox: 0.5.5
numpy_groupies: 0.9.17
setuptools: 62.5.0
pip: 22.1.2
conda: None
pytest: 7.1.2
IPython: 7.33.0
sphinx: 5.1.1
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1333514579
https://github.com/pydata/xarray/issues/6902#issuecomment-1209615886,https://api.github.com/repos/pydata/xarray/issues/6902,1209615886,IC_kwDOAMm_X85IGUYO,2448579,2022-08-09T16:38:36Z,2022-08-09T16:38:36Z,MEMBER,"Yeah I think we need to fix this in flox.
Can you come up with a simple test case that checks that the accumulation is done properly?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1333514579