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
1795519181,I_kwDOAMm_X85rBXLN,7969,Upstream CI is failing,14371165,closed,0,,,2,2023-07-09T18:51:41Z,2023-07-10T17:34:12Z,2023-07-10T17:33:12Z,MEMBER,,,,"### What happened?
The upstream CI has been failing for a while. Here's the latest:
https://github.com/pydata/xarray/actions/runs/5501368493/jobs/10024902009#step:7:16

```python
Traceback (most recent call last):
  File ""<string>"", line 1, in <module>
  File ""/home/runner/work/xarray/xarray/xarray/__init__.py"", line 1, in <module>
    from xarray import testing, tutorial
  File ""/home/runner/work/xarray/xarray/xarray/testing.py"", line 7, in <module>
    import numpy as np
ModuleNotFoundError: No module named 'numpy'
```

Digging a little in the logs
```
  Installing build dependencies: started
  Installing build dependencies: finished with status 'error'
  error: subprocess-exited-with-error
  
  × pip subprocess to install build dependencies did not run successfully.
  │ exit code: 1
  ╰─> [3 lines of output]
      Looking in indexes: https://pypi.anaconda.org/scipy-wheels-nightly/simple
      ERROR: Could not find a version that satisfies the requirement meson-python==0.13.1 (from versions: none)
      ERROR: No matching distribution found for meson-python==0.13.1
      [end of output]
```

Might be some numpy problem?

Should the CI be robust enough to handle these kinds of errors? Because I suppose we would like to get the automatic issue created anyway?","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7969/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1795424047,PR_kwDOAMm_X85VBAF6,7968,Move absolute path finder from open_mfdataset to own function,14371165,closed,0,,,2,2023-07-09T14:24:38Z,2023-07-10T14:04:06Z,2023-07-10T14:04:05Z,MEMBER,,0,pydata/xarray/pulls/7968,"A simple refactor to make it easier to retrieve the proper paths that `open_mfdataset` uses and passes on the engine.

I've been thinking how to make use of DataTree and one idea I wanted to try was:
* Open file (using` _find_absolute_path`).
* Get all groups in the file.
* For each group run `xr.open_mfdataset(..., group=group)`","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7968/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull