issue_comments: 642329163

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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?

 
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