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3. pretty_print lists a list of external modules in `wrap_imported_operators`.

- Add support for Python 3.11
- The SMAC hyperoptimization backend is not currently supported on 3.11
- Add support for scikit-learn 1.3 and 1.4
- Update supported versions of numpy, scipy, pandas, xgboost, lightgbm, snapml, and tensorflow
- AIF360 does not currently support numpy>=1.24, so testing for aif360 libraries is done using an older version of numpy
- Fix readthedocs build so our documentation is correctly updated
- Add label encoding to our wrapper for XGBClassifier, since it longer does this.
- Shuffle data in some batching tests to (mostly) avoid problems with encoding
- Remove support for Python 3.7 and scikit-learn < 1.0
- Remove autoai_libs wrappers and tests (they have been moved into the autoai_libs package).

Fix a bug where links from pipeline visualizations to operator documentation did not work.

* guard import of mystic
* add upper bound to tensorflow dependency
* remove protobuf installation version constraint.

* Relax some dependency upper bounds
* Add RandomUnderSampler from imblearn
* Add Orbis and Urbis Mystic implementations
* Add 7 more fairness datasets
* Documentation improvements
* Add wrapper for autoai_libs.nsfa transformer

- Updates to autoai_libs schemas to improve pretty-printing
- Update version of static checkers