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/5794#issuecomment-940356823,https://api.github.com/repos/pydata/xarray/issues/5794,940356823,IC_kwDOAMm_X844DLTX,14371165,2021-10-11T18:44:27Z,2021-10-11T18:46:50Z,MEMBER,"A little better comparison and little more noticeable difference although still in the noise range:

This branch:
```python
%timeit -n1 -r1 import xarray

3.81 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.83 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.87 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.7 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.77 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.91 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.8 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)

np.mean([3.81, 3.83, 3.87, 3.7, 3.77, 3.91, 3.8])
Out[3]: 3.812857142857143
```

Main:
```python
%timeit -n1 -r1 import xarray

3.93 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.69 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.64 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.76 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.79 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.81 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)
3.68 s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)

np.mean([3.93, 3.69, 3.64, 3.76, 3.79, 3.81, 3.68])
Out[4]: 3.7571428571428567
```
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