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  • mathause · 2 ✖

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  • weighted: small improvements · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
767565592 https://github.com/pydata/xarray/pull/4818#issuecomment-767565592 https://api.github.com/repos/pydata/xarray/issues/4818 MDEyOklzc3VlQ29tbWVudDc2NzU2NTU5Mg== mathause 10194086 2021-01-26T14:10:01Z 2021-01-26T14:10:01Z MEMBER

Finally figured it out - I had to use python T_DataWithCoords = TypeVar("T_DataWithCoords", bound="DataWithCoords") DataWithCoords is a parent class of Dastaset and DataArray. Now the following works:

```python import xarray as xr

da = xr.DataArray([1]) ds = xr.Dataset(data_vars={"x": da})

reveal_type(da.weighted(da).mean()) # Revealed type is 'xarray.core.dataarray.DataArray' reveal_type(ds.weighted(da).mean()) # Revealed type is 'xarray.core.dataarray.Dataset' ```

 
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   weighted: small improvements 787502146
765031152 https://github.com/pydata/xarray/pull/4818#issuecomment-765031152 https://api.github.com/repos/pydata/xarray/issues/4818 MDEyOklzc3VlQ29tbWVudDc2NTAzMTE1Mg== mathause 10194086 2021-01-22T00:33:39Z 2021-01-22T00:33:39Z MEMBER

The following now works well

python import xarray as xr da = xr.DataArray([1]) reveal_type(xr.core.weighted.DataArrayWeighted(da, da).mean())

However, what I cannot get to work is:

python reveal_type(da.weighted(da)) (returns Any). What almost works is:

```python def weighted(self: T_DSorDA, weights: "DataArray") -> Weighted[T_DSorDA]:

return self._weighted_cls(self, weights)

```

However, mypy does not like that I overwrite the type of self with T_DSorDA...

 
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   weighted: small improvements 787502146

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