Jmafoster1/388 fix large scenarios

[jmafoster1]

Closes #388.
This has turned into a bit of a monster PR. Main changes as follows:

• Estimators no longer store the dataframe. This dramatically reduces the amount of memory taken up causal test cases.
• The CausalTestingFramework class is now a "first class citizen". It is designed and intended to be used as a standalone API rather than purely as part of the commandline interface.
• CausalTestCases now have some extra instance attributes:
  • They now store the result of execute_test as an instance variable instead of returning it. This means you don't have to iterate a zip object of the tests and their associated results.
  • They now store the name and skip attributes from the JSON frontend. This means that there's now a 1:1 mapping between tests and their representation in JSON, meaning that we don't need to keep the parsed input around for later use as part of output.

[github-actions]

🦙 MegaLinter status: ⚠️ WARNING

Descriptor	Linter	Files	Fixed	Errors	Elapsed time
⚠️ PYTHON	black	38		1	1.05s
✅ PYTHON	pylint	38		0	5.06s

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[codecov]

Codecov Report

❌ Patch coverage is 99.73262% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 98.18%. Comparing base (8f04b99) to head (3e6fd99).
⚠️ Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
causal_testing/__main__.py	98.30%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #395      +/-   ##
==========================================
+ Coverage   98.15%   98.18%   +0.02%     
==========================================
  Files          31       32       +1     
  Lines        1841     1704     -137     
==========================================
- Hits         1807     1673     -134     
+ Misses         34       31       -3     

Files with missing lines	Coverage Δ
causal_testing/causal_testing_framework.py	100.00% <100.00%> (ø)
causal_testing/discovery/abstract_discovery.py	100.00% <100.00%> (ø)
causal_testing/estimation/abstract_estimator.py	100.00% <ø> (ø)
...esting/estimation/abstract_regression_estimator.py	96.29% <100.00%> (-0.48%)	⬇️
...ausal_testing/estimation/cubic_spline_estimator.py	97.29% <100.00%> (-0.08%)	⬇️
...ting/estimation/instrumental_variable_estimator.py	100.00% <100.00%> (ø)
causal_testing/estimation/ipcw_estimator.py	99.26% <100.00%> (ø)
..._testing/estimation/linear_regression_estimator.py	100.00% <100.00%> (ø)
...esting/estimation/logistic_regression_estimator.py	100.00% <100.00%> (ø)
...ing/estimation/multinomial_regression_estimator.py	100.00% <100.00%> (ø)
... and 8 more

... and 1 file with indirect coverage changes

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[jwhogg]

How big is this list comp? is it efficient to be using a dict here?

[jmafoster1]

They're both pretty small, like 5 elements. The entrypoints are defined in the corresponding entries in pyproject.toml. What would you propose to use instead?