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 96.61191% with 33 lines in your changes missing coverage. Please review.
✅ Project coverage is 95.82%. Comparing base (57fff5e) to head (5118a80).
⚠️ Report is 9 commits behind head on main.

Files with missing lines	Patch %	Lines
...rics/multi_table/statistical/constraints/_utils.py	91.47%	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 ⚠️
...ulti_table/statistical/constraints/mixed_scales.py	98.63%	1 Missing ⚠️
...trics/multi_table/statistical/constraints/range.py	98.30%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #913      +/-   ##
==========================================
+ Coverage   95.68%   95.82%   +0.14%     
==========================================
  Files         122      138      +16     
  Lines        5308     6281     +973     
==========================================
+ Hits         5079     6019     +940     
- Misses        229      262      +33     

Flag	Coverage Δ
integration	75.32% <41.99%> (-6.13%)	⬇️
unit	86.73% <96.61%> (+1.80%)	⬆️

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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!