Remove CorrectionWithGradient.eval_dict

[eguiraud]

It does not work well with vectorized calls:
we would like to vectorize over the values of
the dictionary, but e.g. np.vectorized does not do
that out of the box.

We'll have to revise later in what form we can
reintroduce (something like) eval_dict, if any,
e.g. using kwargs instead of an input dict.

[eguiraud]

Current dependencies on/for this PR:

• main
  • PR Remove CorrectionWithGradient.eval_dict #35 👈
    • PR Remove unnecessary usage of re.escape #36
      • PR Explicitly test that the number of returned values matches expectations #29
        • PR Fix: return an array of the correct size from scale corrections #30
          • PR Improve testing of error cases #31
            • PR Test mixing scalar and array inputs #32
              • PR Check type of inputs in eval, eval_dict #33

This comment was auto-generated by Graphite.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (5ef9370) 100.00% compared to head (542314a) 100.00%.

Additional details and impacted files

@@            Coverage Diff            @@
##              main       #35   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files            3         3           
  Lines           80        74    -6     
  Branches        11         9    -2     
=========================================
- Hits            80        74    -6     

Files	Coverage Δ
src/correctionlib_gradients/_base.py	100.00% <100.00%> (ø)

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[eguiraud]

Merge activity

• Oct 29, 6:36 PM: @eguiraud started a stack merge that includes this pull request via Graphite.
• Oct 29, 6:36 PM: @eguiraud merged this pull request with Graphite.