issue_comments: 1398790498
This data as json
| 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/7353#issuecomment-1398790498 | https://api.github.com/repos/pydata/xarray/issues/7353 | 1398790498 | IC_kwDOAMm_X85TX9li | 14371165 | 2023-01-20T18:42:31Z | 2023-01-20T18:42:31Z | MEMBER | 87d689a shows that we have issues with 3.8 when either of numba/cdms2/numbagg are not available, then we take a different code path that fails somehow. Hopefully with python 3.9 it's fixed. Failing tests with only python 3.8 with windows, no numba/cdms2/numbagg:
```
FAILED xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_sparse - ValueError: Performing this operation would produce a dense result: <ufunc 'add'>
FAILED xarray/tests/test_dataset.py::TestDataset::test_unstack_sparse - TypeError: __init__() got an unexpected keyword argument 'fill_value'
FAILED xarray/tests/test_dataset.py::TestDataset::test_from_dataframe_sparse - TypeError: __init__() got an unexpected keyword argument 'fill_value'
FAILED xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_sparse - ValueError: Performing this operation would produce a dense result: <ufunc 'add'>
FAILED xarray/tests/test_dataarray.py::TestDataArray::test_from_series_sparse - TypeError: __init__() got an unexpected keyword argument 'fill_value'
FAILED xarray/tests/test_dataarray.py::TestDataArray::test_from_multiindex_series_sparse - TypeError: from_numpy() takes 2 positional arguments but 3 were given
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.all(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.any(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.astype(*(), **{'dtype': <class 'int'>})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.clip(*(), **{'min': 0, 'max': 1})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.coarsen(*(), **{'windows': {'x': 2}, 'func': 'sum'})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.compute(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.conj(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.copy(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.count(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.get_axis_num(*(), **{'dim': 'x'})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.isel(*(), **{'x': slice(2, 4, None)})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.isnull(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.load(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.mean(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.notnull(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.roll(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.round(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.set_dims(*(), **{'dims': ('x', 'y', 'z')})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.stack(*(), **{'dimensions': {'flat': ('x', 'y')}})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.to_base_variable(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.transpose(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.unstack(*(), **{'dimensions': {'x': {'x1': 5, 'x2': 2}}})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.broadcast_equals(*(<xarray.Variable (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]]),), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.equals(*(<xarray.Variable (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]]),), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.identical(*(<xarray.Variable (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]]),), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.fillna(*(0,), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.max(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.min(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.prod(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.sum(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_variable_method[obj.where(*(), **{'cond': <xarray.Variable (x: 10, y: 5)>\narray([[False, False, False, True, False],\n [False, False, False, False, False],\n [False, False, False, False, False],\n [False, False, False, False, False],\n [False, False, False, False, False],\n [False, False, False, False, False],\n [False, False, False, False, False],\n [False, False, False, False, True],\n [False, False, False, False, False],\n [False, False, True, False, False]])})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_1d_variable_method[func0-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_nbytes - assert 192 == 120
+ where 192 = <xarray.Variable (x: 4, y: 6)>\narray([[0. , 0.87001215, 0. , 0. , 0. ,\n 0. ]...6147936,\n 0.63992102],\n [0. , 0. , 0.77815675, 0. , 0.0202184 ,\n 0.79915856]]).nbytes
+ where <xarray.Variable (x: 4, y: 6)>\narray([[0. , 0.87001215, 0. , 0. , 0. ,\n 0. ]...6147936,\n 0.63992102],\n [0. , 0. , 0.77815675, 0. , 0.0202184 ,\n 0.79915856]]) = <xarray.tests.test_sparse.TestSparseVariable object at 0x000001CD9F898520>.var
+ and 120 = <COO: shape=(4, 6), dtype=float64, nnz=12, sorted=True, duplicates=False>.nbytes
+ where <COO: shape=(4, 6), dtype=float64, nnz=12, sorted=True, duplicates=False> = <xarray.tests.test_sparse.TestSparseVariable object at 0x000001CD9F898520>.data
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_unary_op - AssertionError: assert False
+ where False = isinstance(array([[-0. , -0.87001215, -0. , -0. , -0. ,\n -0. ],\n [-0.11827443, -0...,\n -0.63992102],\n [-0. , -0. , -0.77815675, -0. , -0.0202184 ,\n -0.79915856]]), (<class 'sparse.sparse_array.SparseArray'>,))
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_univariate_ufunc - AssertionError: assert False
+ where False = isinstance(array([[0. , 0.76433677, 0. , 0. , 0. ,\n 0. ],\n [0.11799887, 0. ...4527321,\n 0.59713209],\n [0. , 0. , 0.70196783, 0. , 0.02021702,\n 0.7167696 ]]), (<class 'sparse.sparse_array.SparseArray'>,))
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_bivariate_ufunc - AssertionError: assert False
+ where False = isinstance(array([[0. , 0.87001215, 0. , 0. , 0. ,\n 0. ],\n [0.11827443, 0. ...6147936,\n 0.63992102],\n [0. , 0. , 0.77815675, 0. , 0.0202184 ,\n 0.79915856]]), (<class 'sparse.sparse_array.SparseArray'>,))
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_repr - AssertionError: assert '<xarray.Vari...ll_value=0.0>' == '<xarray.Vari...0.79915856]])'
<xarray.Variable (x: 4, y: 6)>
+ <COO: shape=(4, 6), dtype=float64, nnz=12, fill_value=0.0>
- array([[0. , 0.87001215, 0. , 0. , 0. ,
- 0. ],
- [0.11827443, 0. , 0.78052918, 0. , 0.0871293 ,
- 0.07103606],
- [0. , 0.97861834, 0.83261985, 0. , 0.46147936,
- 0.63992102],
- [0. , 0. , 0.77815675, 0. , 0.0202184 ,
- 0.79915856]])
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_pickle - AssertionError: assert False
+ where False = isinstance(array([[0. , 0.87001215, 0. , 0. , 0. ,\n 0. ],\n [0.11827443, 0. ...6147936,\n 0.63992102],\n [0. , 0. , 0.77815675, 0. , 0.0202184 ,\n 0.79915856]]), (<class 'sparse.sparse_array.SparseArray'>,))
FAILED xarray/tests/test_sparse.py::TestSparseVariable::test_missing_values - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.all(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.any(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.assign_attrs(*({'foo': 'bar'},), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.assign_coords(*(), **{'x': <xarray.DataArray 'x' (x: 10)>\narray([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])\nCoordinates:\n * x (x) int32 0 1 2 3 4 5 6 7 8 9})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.astype(*(<class 'int'>,), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.clip(*(), **{'min': 0, 'max': 1})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.compute(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.conj(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.copy(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.count(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.diff(*('x',), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.drop_vars(*('x',), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.expand_dims(*({'z': 2},), **{'axis': 2})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.get_axis_num(*('x',), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.get_index(*('x',), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.identical(*(<xarray.DataArray 'test' (x: 5, y: 5)>\narray([[0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0.71518937, 0. , 0. ],\n [0.60276338, 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ]])\nCoordinates:\n * x (x) int32 0 1 2 3 4\n * y (y) int32 0 1 2 3 4,), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.integrate(*('x',), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.isel(*({'x': slice(0, 3, None), 'y': slice(2, 4, None)},), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.isnull(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.load(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.mean(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.persist(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.reindex(*({'x': [1, 2, 3]},), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.rename(*('foo',), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.reorder_levels(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.reset_coords(*(), **{'drop': True})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.reset_index(*('x',), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.round(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.sel(*(), **{'x': [0, 1, 2]})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.shift(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.sortby(*('x',), **{'ascending': False})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.stack(*(), **{'z': ['x', 'y']})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.transpose(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.broadcast_equals(*(<xarray.Variable (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]]),), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.equals(*(<xarray.Variable (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]]),), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.combine_first(*(<xarray.DataArray 'test' (x: 10, y: 5)>\narray([[0.43758721, 0. , 0. , 0.891773 , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0. ],\n [0. , 0. , 0. , 0. , 0.96366276],\n [0. , 0. , 0. , 0. , 0.4236548 ],\n [0. , 0. , 0.64589411, 0. , 0. ]])\nCoordinates:\n * x (x) int32 0 1 2 3 4 5 6 7 8 9\n * y (y) int32 0 1 2 3 4,), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.fillna(*(0,), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.max(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.min(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.notnull(*(), **{})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.pipe(*(), **{'func': 'sum', 'axis': 1})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.prod(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.roll(*(), **{'x': 2, 'roll_coords': True})-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dataarray_method[obj.sum(*(), **{})-False] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_datarray_1d_method[func0-True] - AttributeError: 'numpy.ndarray' object has no attribute 'todense'
FAILED xarray/tests/test_sparse.py::test_dask_token - AssertionError: assert False
+ where False = isinstance(array([0, 0, 1, 2]), <class 'sparse.coo.COO'>)
+ where array([0, 0, 1, 2]) = <xarray.DataArray (dim_0: 4)>\narray([0, 0, 1, 2])\nDimensions without coordinates: dim_0.data
+ and <class 'sparse.coo.COO'> = sparse.COO
FAILED xarray/tests/test_sparse.py::test_apply_ufunc_check_meta_coherence - AssertionError: assert False
+ where False = isinstance(array([], dtype=int32), (<class 'sparse.sparse_array.SparseArray'>,))
FAILED xarray/tests/test_variable.py::TestVariableWithSparse::test_as_sparse - ValueError: coo is not a valid sparse format
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_to_dataset_roundtrip - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_align - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_align_outer - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_concat - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_stack - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_dataarray_repr - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_dataset_repr - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_sparse_dask_dataset_repr - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_dataarray_pickle - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_dataset_pickle - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
ERROR xarray/tests/test_sparse.py::TestSparseDataArrayAndDataset::test_coarsen - ValueError: could not broadcast input array from shape (4,6) into shape (4,1)
= 93 failed, 14715 passed, 1640 skipped, 211 xfailed, 66 xpassed, 327 warnings, 11 errors in 699.08s (0:11:39) =
```
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