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
636666706,MDU6SXNzdWU2MzY2NjY3MDY=,4146,sparse upstream-dev test failures,2448579,closed,0,,,4,2020-06-11T02:20:11Z,2021-03-17T23:10:45Z,2020-06-16T16:00:10Z,MEMBER,,,,"Full log here: https://dev.azure.com/xarray/xarray/_build/results?buildId=3023&view=logs&jobId=2280efed-fda1-53bd-9213-1fa8ec9b4fa8&j=2280efed-fda1-53bd-9213-1fa8ec9b4fa8&t=175181ee-1928-5a6b-f537-168f7a8b7c2d

Here are three of the errors:

```
 /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/sparse/_coo/umath.py:739: SystemError
_ 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] _
TypeError: expected dtype object, got 'numpy.dtype[uint64]'
```

```
    def _match_coo(*args, **kwargs):
        """"""
        Matches the coordinates for any number of input :obj:`COO` arrays.
        Equivalent to ""sparse"" broadcasting for all arrays.
    
        Parameters
        ----------
        args : Tuple[COO]
            The input :obj:`COO` arrays.
        return_midx : bool
            Whether to return matched indices or matched arrays. Matching
            only supported for two arrays. ``False`` by default.
        cache : dict
            Cache of things already matched. No cache by default.
    
        Returns
        -------
        matched_idx : List[ndarray]
            The indices of matched elements in the original arrays. Only returned if
            ``return_midx`` is ``True``.
        matched_arrays : List[COO]
            The expanded, matched :obj:`COO` objects. Only returned if
            ``return_midx`` is ``False``.
        """"""
        from .core import COO
        from .common import linear_loc
    
        cache = kwargs.pop(""cache"", None)
        return_midx = kwargs.pop(""return_midx"", False)
        broadcast_shape = kwargs.pop(""broadcast_shape"", None)
    
        if kwargs:
            linear = [idx[s] for idx, s in zip(linear, sorted_idx)]
>           matched_idx = _match_arrays(*linear)
E           SystemError: CPUDispatcher(<function _match_arrays at 0x7f66b6272af0>) returned a result with an error set

```

```
_______________________________ test_dask_token ________________________________

    @requires_dask
    def test_dask_token():
        import dask
    
        s = sparse.COO.from_numpy(np.array([0, 0, 1, 2]))
    
        # https://github.com/pydata/sparse/issues/300
        s.__dask_tokenize__ = lambda: dask.base.normalize_token(s.__dict__)
    
        a = DataArray(s)
        t1 = dask.base.tokenize(a)
        t2 = dask.base.tokenize(a)
        t3 = dask.base.tokenize(a + 1)
        assert t1 == t2
        assert t3 != t2
        assert isinstance(a.data, sparse.COO)
    
        ac = a.chunk(2)
        t4 = dask.base.tokenize(ac)
        t5 = dask.base.tokenize(ac + 1)
        assert t4 != t5
>       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
```
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4146/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
636665269,MDU6SXNzdWU2MzY2NjUyNjk=,4145,Fix matplotlib in upstream-dev test config,2448579,closed,0,,,4,2020-06-11T02:15:52Z,2020-06-12T09:11:31Z,2020-06-12T09:11:31Z,MEMBER,,,,"From @keewis comment in #4138

> I just noticed that the rackcdn.org repository doesn't have matplotlib>=3.2.0, so since about late February we don't test against matplotlib upstream anymore.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4145/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue