Add test for API stability for a CausalPy example in Causal Inference and Discovery in Python by Aleksander Molak

[arthurmello]

Closes #356

• Saves the original dataset in causalpy/data/gt_social_media_data.csv
• Processes data in the same way as the original example
• Asserts that WeightedSumFitter, SyntheticControl and the results plot all run without errors

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📚 Documentation preview 📚: https://causalpy--407.org.readthedocs.build/en/407/

[drbenvincent]

Thanks @arthurmello ! The only change that's needed is to speed up the tests by asking for fewer samples. We do this in some of the other tests, such as test_integration_pymc_example.py. So we just need to define custom sample kwargs sample_kwargs = {"tune": 20, "draws": 20, "chains": 2, "cores": 2} and pass those in when the model object is first created.

While that is a slight deviation from the original code, it doesn't represent a meaningful change, and it speeds up the tests which is important both locally and remotely.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 94.40%. Comparing base (4b0fcef) to head (f7c7c05).
Report is 10 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #407      +/-   ##
==========================================
+ Coverage   94.35%   94.40%   +0.05%     
==========================================
  Files          30       31       +1     
  Lines        1967     1985      +18     
==========================================
+ Hits         1856     1874      +18     
  Misses        111      111              

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[arthurmello]

@drbenvincent yes, it makes sense! I have included those, let me know if anything else is needed.

[drbenvincent]

Looks good to me :)

Thanks for the PR @arthurmello