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/4146#issuecomment-801500388,https://api.github.com/repos/pydata/xarray/issues/4146,801500388,MDEyOklzc3VlQ29tbWVudDgwMTUwMDM4OA==,14808389,2021-03-17T23:10:45Z,2021-03-17T23:10:45Z,MEMBER,"a small update on `sparse`: right now, enabling the install of `sparse` from github makes the upstream-dev CI fail on:
```
xarray/tests/test_sparse.py::test_variable_method[obj.where(*(), **{'cond': <xarray.Variable (x: 10, y: 5)>\n<COO: shape=(10, 5), dtype=bool, nnz=3, fill_value=False>})-True]
```
with a NEP18 error (`numpy.allclose` is not implemented for `[<class 'numpy.ndarray'>, <class 'sparse._coo.core.COO'>]`)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636666706
https://github.com/pydata/xarray/issues/4146#issuecomment-644857262,https://api.github.com/repos/pydata/xarray/issues/4146,644857262,MDEyOklzc3VlQ29tbWVudDY0NDg1NzI2Mg==,1217238,2020-06-16T16:02:16Z,2020-06-16T16:02:16Z,MEMBER,"That's a good point, we should consider that! But we would really need a version of Numba built in a compatible way to the NumPy dev version we're using in order to make that feasible. For now I'm happy dropping sparse.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636666706
https://github.com/pydata/xarray/issues/4146#issuecomment-644692632,https://api.github.com/repos/pydata/xarray/issues/4146,644692632,MDEyOklzc3VlQ29tbWVudDY0NDY5MjYzMg==,14808389,2020-06-16T11:00:01Z,2020-06-16T11:00:01Z,MEMBER,we don't even install a development version of `sparse` (maybe we should?),"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636666706
https://github.com/pydata/xarray/issues/4146#issuecomment-644550723,https://api.github.com/repos/pydata/xarray/issues/4146,644550723,MDEyOklzc3VlQ29tbWVudDY0NDU1MDcyMw==,1217238,2020-06-16T06:04:49Z,2020-06-16T06:04:49Z,MEMBER,"It looks like all the sparse tests were passing on June 1, but are now failing.

Nothing remotely suspicious has been merged into pydata/sparse in the past 10 days, and I cannot reproduce these issues on my local machine.

But I did notice that the installed version of NumPy switched from 1.19.0rc2 to 1.20.0.dev. It seems quite plausible that this has resulted in some sort of binary incompatibility for NumPy and Numba.

For now, I'm simply going to remove `sparse` from our upstream dev tests. This isn't a subtle compatibility issue, so I'm going to let the Numba or sparse devs figure this out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636666706