feat: utility to match fit results to arbitrary model

[alexander-held]

This adds a new API model_utils.match_fit_results, which takes a model and a fit result and then returns a modified fit result that matches the model as well as possible:

• re-ordering parameters if needed,
• removing parameters from fit result that are not in the target model,
• adding parameters that are in the model but not in the fit result.

When adding new parameters to the fit result, they are assumed to have their pre-fit values as given by model_utils.asimov_parameters, with associated uncertainty given by model_utils.prefit_uncertainties. They are furthermore assumed to not have any correlations with other parameters.

Additional minor changes:

• pre-commit updated
• changed np.diag (MATLAB-like API) to np.diagflat
• minor capitalization changes in readme
• added warning to model_utils.prediction if parameter names in fit results and model do not match

resolves #284

* added model_utils.match_fit_results function to match fit results to different model
* switched from use of np.diag to np.diagflat
* added warning to model_utils.prediction for mismatch of parameter names in fit results and model
* updated pre-commit 

[codecov]

Codecov Report

Merging #288 (a79410a) into master (b01edb3) will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##            master      #288   +/-   ##
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  Coverage   100.00%   100.00%           
=========================================
  Files           19        19           
  Lines         1788      1808   +20     
  Branches       277       283    +6     
=========================================
+ Hits          1788      1808   +20     

Impacted Files	Coverage Δ
src/cabinetry/model_utils.py	100.00% <100.00%> (ø)

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