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Job # PKGS="python=3.7 ipython matplotlib nbsphinx numpy pandas jupyter_client ipykernel python-graphviz graphviz xarray sparse dask[complete] sphinx Pygments==2.3.1 docutils==0.14 alabaster commonmark==0.8.1 recommonmark==0.5.0"

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Merge #1129

1129: Implement Dask collection interface r=hgrecco a=rpmanser

This pull request implements the [Dask collection interface](https://docs.dask.org/en/latest/custom-collections.html) for the Quantity class and adds convenience methods `compute()`, `persist()`, and `visualize()`. As is, only the convenience methods are wrapped to check that the magnitude of the Quantity is a dask array, which should cover current use cases. Ping @jthielen since we've been discussing this.

I have not tested `persist()` on a HPC cluster, which will have different behavior than when it is called on a single machine (e.g., desktop). Is there a way to integrate tests for distributed cases? If not, I can test this independently if needed.

- [X] Closes #883 
- [X] Executed ``black -t py36 . && isort -rc . && flake8`` with no errors
- [X] The change is fully covered by automated unit tests
- [X] Documented in docs/ as appropriate
- [X] Added an entry to the CHANGES file

Co-authored-by: Russell Manser <russell.p.manser@ttu.edu>

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