Support for parallelising ranking computations

[MoAly98]

Closes #442 and related to #421.

This PR is intended to introduce the infrastructure to be able to easily parallelise the production of ranking plots:

• allow a list of parameters to be passed to the ranking function for which the ranking is computed
• provide a utility to combine the ranking results from a list of ranking function calls
• [maybe] provide simple support for utilising a user-provided dask client
  • write tests
  • improve docstrings and comments
• pass parameters via CLI

Blocked by #514

[codecov]

Codecov Report

Attention: Patch coverage is 93.71981% with 13 lines in your changes missing coverage. Please review.

Project coverage is 99.42%. Comparing base (1576a4d) to head (3a663d4).
Report is 3 commits behind head on master.

Files with missing lines	Patch %	Lines
src/cabinetry/fit/__init__.py	92.07%	9 Missing and 4 partials ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##            master     #530      +/-   ##
===========================================
- Coverage   100.00%   99.42%   -0.58%     
===========================================
  Files           22       23       +1     
  Lines         2096     2264     +168     
  Branches       291      320      +29     
===========================================
+ Hits          2096     2251     +155     
- Misses           0        9       +9     
- Partials         0        4       +4     

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[MoAly98]

@alexander-held what do you think of this implementation to parallelise with a user-fed client? Tests currently fail because dask is not a dependency yet. I would diff this with #514 to see the change

[github-actions]

Status: Blocked ❌

Issues blocking this PR:

• Implement global observables-based uncertainty impacts #514 ❌

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This comment was automatically written by the Blocking Issues bot, and this PR will be monitored for further progress.