issues: 1436755752

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1436755752 I_kwDOAMm_X85Voyco 7258 mypy complaint about `.to_netcdf` `encoding` 15079414 closed 0     6 2022-11-05T00:57:26Z 2022-11-11T16:43:46Z 2022-11-11T10:37:55Z CONTRIBUTOR      

What happened?

error: Argument "encoding" to "to_netcdf" of "Dataset" has incompatible type "Dict[str, Dict[str, int]]"; expected "Optional[Mapping[Hashable, Mapping[str, Any]]]" Those sound compatible to me, so I am a bit confused.

I am using something like python encoding = {"variable_name": {"zlib": True, "complevel": 5}} ds.to_netcdf(..., encoding=encoding)

What did you expect to happen?

No response

Minimal Complete Verifiable Example

No response

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

mypy 0.982, xarray 2022.10.0

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 158 Stepping 10, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: ('English_United States', '1252') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 2022.10.0 pandas: 1.5.1 numpy: 1.23.4 scipy: 1.9.3 netCDF4: 1.6.0 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.3.2 cfgrib: None iris: None bottleneck: None dask: 2022.8.1 distributed: None matplotlib: 3.6.1 cartopy: 0.21.0 seaborn: 0.11.2 numbagg: None fsspec: 2022.7.1 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 65.2.0 pip: 22.3 conda: None pytest: 7.2.0 IPython: 8.4.0 sphinx: 4.5.0 
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   completed 13221727 issue

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