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/7203#issuecomment-1289191705,https://api.github.com/repos/pydata/xarray/issues/7203,1289191705,IC_kwDOAMm_X85M14EZ,14371165,2022-10-24T15:13:59Z,2022-10-24T15:13:59Z,MEMBER,"I have 64bit windows and python appears to be running in 64bit, still I get int32 for some reason:
```
xr.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.6 | packaged by conda-forge | (main, Aug 22 2022, 20:30:19) [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
LOCALE: ('Swedish_Sweden', '1252')
libhdf5: 1.12.2
libnetcdf: 4.8.1
xarray: 2022.9.1.dev266+gbd01f9cc.d20221006
pandas: 1.5.0
numpy: 1.23.3
scipy: 1.9.1
netCDF4: 1.6.1
pydap: installed
h5netcdf: 1.0.2
h5py: 3.7.0
Nio: None
zarr: 2.13.2
cftime: 1.6.2
nc_time_axis: 1.4.1
PseudoNetCDF: 3.2.2
rasterio: 1.3.2
cfgrib: None
iris: 3.3.0
bottleneck: 1.3.5
dask: 2022.9.2
distributed: 2022.9.2
matplotlib: 3.6.0
cartopy: 0.21.0
seaborn: 0.12.0
numbagg: 0.2.1
fsspec: 2022.8.2
cupy: None
pint: 0.19.2
sparse: 0.13.0
flox: 0.5.10.dev21+g91b6e19
numpy_groupies: 0.9.19
setuptools: 65.5.0
pip: 22.2.2
conda: None
pytest: 7.1.3
IPython: 7.33.0
sphinx: 5.3.0
C:\Users\J.W\anaconda3\envs\xarray-tests\lib\site-packages\_distutils_hack\__init__.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn(""Setuptools is replacing distutils."")
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1420230433
https://github.com/pydata/xarray/pull/7203#issuecomment-1288532110,https://api.github.com/repos/pydata/xarray/issues/7203,1288532110,IC_kwDOAMm_X85MzXCO,14371165,2022-10-24T07:20:32Z,2022-10-24T07:20:32Z,MEMBER,"```
@requires_netCDF4
def test_repr_file_collapsed(tmp_path) -> None:
arr_to_store = xr.DataArray(np.arange(300), dims=""test"")
arr_to_store.to_netcdf(tmp_path / ""test.nc"", engine=""netcdf4"")
with xr.open_dataarray(tmp_path / ""test.nc"") as arr, xr.set_options(
display_expand_data=False
):
actual = arr.__repr__()
expected = dedent(
""""""\
[300 values with dtype=int32]
Dimensions without coordinates: test""""""
)
> assert actual == expected
E AssertionError: assert '