Fix TypeError when adjusting with preloaded training dataset

[saschahofmann]

See issue #1678 for an explanation of the problem

Now, returns an empty list if a reduced dimension is not in the dataset chunks in xclim/sdba/base.py map_blocks when checking for badchunks.

Pull Request Checklist:

• This PR addresses an already opened issue (for bug fixes / features)
  • This PR fixes QuantileDeltaMapping adjustment in Dask fails if training dataset has been loaded #1678
• Tests for the changes have been added (for bug fixes / features)
  • (If applicable) Documentation has been added / updated (for bug fixes / features)
• CHANGES.rst has been updated (with summary of main changes)
  • Link to issue (:issue:number) and pull request (:pull:number) has been added

What kind of change does this PR introduce?

Returns an empty list if a reduced dimension is not in the dataset chunks in xclim/sdba/base.py map_blocks when checking for badchunks

Does this PR introduce a breaking change?

No.

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[aulemahal]

Looks good!
Sorry for overlooking that case and thanks for the fix!

[saschahofmann]

No problem at all.

Do I need to look into that failing check or is that expected?

[Zeitsperre]

@saschahofmann Don't forget to add your author information as well!

[coveralls]

coverage: 90.196%. remained the same
when pulling 818e743 on saschahofmann:patch-1
into 4ab0cd2 on Ouranosinc:main.

[saschahofmann]

Alright if you insist. Also added a comment to the unreleased 0.49.0 bug fixes

[Zeitsperre]

@saschahofmann You can also add your info to the Zenodo file as well so that you get properly cited when the package is published there. I leave that decision up to you!

[saschahofmann]

I'll do that once I make a note worthy contribution 👍😉

[Zeitsperre]

Thanks @saschahofmann !