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 '