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/4138#issuecomment-642363837,https://api.github.com/repos/pydata/xarray/issues/4138,642363837,MDEyOklzc3VlQ29tbWVudDY0MjM2MzgzNw==,2448579,2020-06-11T02:14:45Z,2020-06-11T02:14:45Z,MEMBER,Sounds good. Thanks @keewis ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636225143
https://github.com/pydata/xarray/pull/4138#issuecomment-642329163,https://api.github.com/repos/pydata/xarray/issues/4138,642329163,MDEyOklzc3VlQ29tbWVudDY0MjMyOTE2Mw==,2448579,2020-06-11T00:06:31Z,2020-06-11T00:06:31Z,MEMBER,"```
__________________________________ test_chunk __________________________________

    @requires_dask
    def test_chunk():
        s = sparse.COO.from_numpy(np.array([0, 0, 1, 2]))
        a = DataArray(s)
        ac = a.chunk(2)
        assert ac.chunks == ((2, 2),)
>       assert isinstance(ac.data._meta, sparse.COO)
E       AssertionError: assert False
E        +  where False = isinstance(array([], dtype=int64), <class 'sparse._coo.core.COO'>)
E        +    where array([], dtype=int64) = dask.array<xarray-<this-array>, shape=(4,), dtype=int64, chunksize=(2,), chunktype=numpy.ndarray>._meta
E        +      where dask.array<xarray-<this-array>, shape=(4,), dtype=int64, chunksize=(2,), chunktype=numpy.ndarray> = <xarray.DataArray (dim_0: 4)>\ndask.array<xarray-<this-array>, shape=(4,), dtype=int64, chunksize=(2,), chunktype=numpy.ndarray>\nDimensions without coordinates: dim_0.data
E        +    and   <class 'sparse._coo.core.COO'> = sparse.COO
```

Test failures seem real and point to dask meta issues? Shall we merge this and open another issue for these sparse failures?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,636225143