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/5994#issuecomment-1003460778,https://api.github.com/repos/pydata/xarray/issues/5994,1003460778,IC_kwDOAMm_X847z5iq,3698640,2021-12-31T22:36:04Z,2021-12-31T22:41:51Z,CONTRIBUTOR,"This looks like it could be a good improvement! Just flagging that in [`func_interpolate_na` on main](https://github.com/pydata/xarray/blob/main/xarray/core/missing.py#L379-L396) I see a different condition:
```python
    # fast track for no-nans and all-nans cases
    n_nans = nans.sum()
    if n_nans == 0 or n_nans == len(y):
        return y
```

Do you see the `n_nans < 0` condition somewhere or is this just a typo? That condition also wouldn't make much sense.

Your point about using the shortcut for `n_nans == len(y) - 1` seems right to me, and definitely doesn't seem worthy of an error when an all-NaN slice is silently skipped.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1055867960