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issues: 1174427142

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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
1174427142 I_kwDOAMm_X85GAFYG 6383 `Dataset.to_zarr` compute=False should allow access to awaitable 193170 closed 0     5 2022-03-20T03:12:29Z 2022-03-21T00:47:45Z 2022-03-20T03:42:01Z NONE      

What happened?

I have xarray, zarr installed, but not dask, and am trying to call to_zarr in an async routine. I am looking for something I can await. The doc claims that a Dask.Delayed is returned. I understand that if I have a dask client open with asynchronous=True I can await the result.

However, not using Dask. Is there some way to get an awaitable from this object without a dask client?

What did you expect to happen?

I should get something back I can await in my async routine.

Minimal Complete Verifiable Example

```Python import xarray as xr from asyncio import get_event_loop

ds = xr.Dataset(data_vars = dict(x = ('x', [1, 2]))) deld = ds.to_zarr("bar.zarr", compute=False) loop.run_until_complete(deld. ...?) ```

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS

commit: None python: 3.8.5 (default, Sep 4 2020, 02:22:02) [Clang 10.0.0 ] python-bits: 64 OS: Darwin OS-release: 20.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.10.4 libnetcdf: 4.7.3

xarray: 2022.3.0 pandas: 1.4.1 numpy: 1.22.3 scipy: 1.6.2 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: None Nio: None zarr: 2.11.1 cftime: 1.5.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.10.0 distributed: 2021.10.0 matplotlib: 3.1.3 cartopy: None seaborn: None numbagg: None fsspec: 2022.02.0 cupy: None pint: None sparse: None setuptools: 60.7.1 pip: 22.0.3 conda: 4.11.0 pytest: 7.1.1 IPython: 7.31.1 sphinx: None

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