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
778123296,MDExOlB1bGxSZXF1ZXN0NTQ4MjY4ODg5,4762,Print number of variables in repr,14371165,closed,0,,,6,2021-01-04T14:13:17Z,2021-05-18T18:17:50Z,2021-01-12T00:21:19Z,MEMBER,,0,pydata/xarray/pulls/4762,"Show the printed and total number of variables in the repr.

- [x] Passes `isort . && black . && mypy . && flake8`


```python
import numpy as np
import xarray as xr

a = np.arange(0, 15)
b = np.core.defchararray.add(""long_variable_name"", a.astype(str))
c = np.arange(0, 25)
d = np.core.defchararray.add(""attr_"", c.astype(str))
e = {k: 2 for k in d}
coords = dict(time=da.array([0, 1]))
data_vars = dict()
for v in b:
    data_vars[v] = xr.DataArray(
        name=v,
        data=np.array([0, 1]).astype(bool),
        dims=[""time""],
        coords=coords,
    )
ds1 = xr.Dataset(data_vars)
ds1.attrs = e

# The repr now shows how many attributes in total there are:
print(ds1)
Out[10]: 
<xarray.Dataset>
Dimensions:               (time: 2)
Coordinates:
  * time                  (time) int32 0 1
Data variables: (12/15)
    long_variable_name0   (time) bool False True
    long_variable_name1   (time) bool False True
    long_variable_name2   (time) bool False True
    long_variable_name3   (time) bool False True
    long_variable_name4   (time) bool False True
    long_variable_name5   (time) bool False True
                   ...
    long_variable_name9   (time) bool False True
    long_variable_name10  (time) bool False True
    long_variable_name11  (time) bool False True
    long_variable_name12  (time) bool False True
    long_variable_name13  (time) bool False True
    long_variable_name14  (time) bool False True
Attributes: (12/25)
    attr_0:   2
    attr_1:   2
    attr_2:   2
    attr_3:   2
    attr_4:   2
    attr_5:   2
      ...
    attr_19:  2
    attr_20:  2
    attr_21:  2
    attr_22:  2
    attr_23:  2
    attr_24:  2
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4762/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
780426518,MDExOlB1bGxSZXF1ZXN0NTUwMzIxOTU1,4771,Always force dask arrays to float in missing.interp_func,14371165,closed,0,,,3,2021-01-06T10:18:55Z,2021-05-18T18:17:30Z,2021-01-12T10:15:28Z,MEMBER,,0,pydata/xarray/pulls/4771,"`scipy.interpolate.interp1d` always forces float so make sure that `da.blockwise` understands that as well.

- [x] Workaround for  #4770
- [x] Tests added
- [x] Passes `isort . && black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4771/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull