Constraint adherence metric

[sarahmish]

Resolve #899

This PR focuses on single-table constraints. I will follow-up with multi-table constraints in another PR.

[codecov]

Codecov Report

❌ Patch coverage is 97.84512% with 32 lines in your changes missing coverage. Please review.
✅ Project coverage is 96.17%. Comparing base (506ba8d) to head (8ded575).

Files with missing lines	Patch %	Lines
...rics/multi_table/statistical/constraints/_utils.py	94.24%	11 Missing ⚠️
...etrics/multi_table/statistical/constraints/base.py	91.66%	7 Missing ⚠️
...able/statistical/constraints/chained_inequality.py	88.00%	6 Missing ⚠️
...e/statistical/constraints/referential_hierarchy.py	97.60%	3 Missing ⚠️
..._table/statistical/constraints/fixed_increments.py	95.12%	2 Missing ⚠️
.../multi_table/statistical/constraints/inequality.py	96.36%	2 Missing ⚠️
...trics/multi_table/statistical/constraints/range.py	98.30%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #913      +/-   ##
==========================================
+ Coverage   95.70%   96.17%   +0.46%     
==========================================
  Files         122      145      +23     
  Lines        5332     6816    +1484     
==========================================
+ Hits         5103     6555    +1452     
- Misses        229      261      +32     

Flag	Coverage Δ
integration	77.67% <64.17%> (-3.77%)	⬇️
unit	87.76% <97.77%> (+2.78%)	⬆️

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[R-Palazzo]

Looking really good!

I left just a few minor comments, mostly around the single- vs multi-table handling.

Could we also add an integration test similar to the code snippet in the issue, so we can check the import and the end-to-end usage as well?

[R-Palazzo]

LGTM!