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
1321228754,I_kwDOAMm_X85OwFnS,6845,Do we need to update AbstractArray for duck arrays?,2448579,open,0,,,6,2022-07-28T16:59:59Z,2022-07-29T17:20:39Z,,MEMBER,,,,"### What happened?

I'm calling `cupy.round` on a DataArray wrapping a cupy array and it raises an error here:
https://github.com/pydata/xarray/blob/3f7cc2da33d81e76afbfb82da57143b624b03a88/xarray/core/common.py#L155-L156

Traceback below:
<details>

```
--> 25     a = _core.array(a, copy=False)
     26     return a.round(decimals, out=out)
     27 

cupy/_core/core.pyx in cupy._core.core.array()

cupy/_core/core.pyx in cupy._core.core.array()

cupy/_core/core.pyx in cupy._core.core._array_default()

~/miniconda3/envs/gpu/lib/python3.7/site-packages/xarray/core/common.py in __array__(self, dtype)
    146 
    147     def __array__(self: Any, dtype: DTypeLike = None) -> np.ndarray:
--> 148         return np.asarray(self.values, dtype=dtype)
    149 
    150     def __repr__(self) -> str:

~/miniconda3/envs/gpu/lib/python3.7/site-packages/xarray/core/dataarray.py in values(self)
    644         type does not support coercion like this (e.g. cupy).
    645         """"""
--> 646         return self.variable.values
    647 
    648     @values.setter

~/miniconda3/envs/gpu/lib/python3.7/site-packages/xarray/core/variable.py in values(self)
    517     def values(self):
    518         """"""The variable's data as a numpy.ndarray""""""
--> 519         return _as_array_or_item(self._data)
    520 
    521     @values.setter

~/miniconda3/envs/gpu/lib/python3.7/site-packages/xarray/core/variable.py in _as_array_or_item(data)
    257     TODO: remove this (replace with np.asarray) once these issues are fixed
    258     """"""
--> 259     data = np.asarray(data)
    260     if data.ndim == 0:
    261         if data.dtype.kind == ""M"":

cupy/_core/core.pyx in cupy._core.core.ndarray.__array__()

TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
```

</details>

### What did you expect to happen?

Not an error? I'm not sure what's expected

`np.round(dataarray)` does actually work successfully.

My question is : Do we need to update `AbstractArray.__array__` to return the underlying duck array instead of always a numpy array?

### Minimal Complete Verifiable Example

_No response_

### MVCE confirmation

- [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

<details>

xarray v2022.6.0

cupy 10.6.0
</details>
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