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/4379#issuecomment-681987321,https://api.github.com/repos/pydata/xarray/issues/4379,681987321,MDEyOklzc3VlQ29tbWVudDY4MTk4NzMyMQ==,14808389,2020-08-27T14:32:46Z,2020-08-27T14:32:46Z,MEMBER,"actually, we should probably merge #4381 to fix the formatting.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,686495257
https://github.com/pydata/xarray/pull/4379#issuecomment-681103837,https://api.github.com/repos/pydata/xarray/issues/4379,681103837,MDEyOklzc3VlQ29tbWVudDY4MTEwMzgzNw==,14808389,2020-08-26T20:22:55Z,2020-08-26T20:22:55Z,MEMBER,"thanks for tracking this down. The easiest way to fix the test would be to decorate it with
```python
pytest.mark.skipif(not IS_NEP18_ACTIVE, reason=""requires NEP18"")
```
Even easier would be to bump `numpy`, but that doesn't seem to be possible right now.

We might also try to rewrite the condition to:
```python
if (
    hasattr(data, ""__array_function__"")
    or isinstance(data, dask_array_type)
    or (not IS_NEP18_ACTIVE and isinstance(data, np.ndarray))
):
    data = copy.deepcopy(data)
```

Thoughts, @pydata/xarray?
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,686495257
https://github.com/pydata/xarray/pull/4379#issuecomment-681038709,https://api.github.com/repos/pydata/xarray/issues/4379,681038709,MDEyOklzc3VlQ29tbWVudDY4MTAzODcwOQ==,14808389,2020-08-26T18:07:53Z,2020-08-26T18:07:53Z,MEMBER,"it seems that's a backwards compatibility issue with `numpy`: 1.15 fails while 1.19 works. I'm not sure in which version the fix was introduced, though","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,686495257