Description

Adds LIPOOptimizer as a new backend in Hyperactive, integrating the lipo package. This gives users a zero-configuration optimizer that requires no tuning of its own hyperparameters, complementing the existing GFO, Optuna, and sklearn backends.

Related Issues

Closes #102

Type of Change

• [BUG] - Bug fix (non-breaking change fixing an issue)
• [ENH] - New feature (non-breaking change adding functionality)
• [DOC] - Documentation changes
• [MNT] - Maintenance

How was this solved?

1. Created src/hyperactive/opt/lipo.py with a class LIPOOptimizer wrapper class that bridges lipo's continuous-bounds API into Hyperactive's discrete search space interface
2. The wrapper parses the search space into lower_bounds, upper_bounds, and categories as required by lipo
3. A _snap_to_grid method maps lipo's continuous output back to the nearest valid point in the original discrete search space
4. Best result is retrieved via opt.optimum[0] in src/hyperactive/opt/lipo.py which returns the best params dict.
5. Exported LIPOOptimizer from src/hyperactive/opt/__init__.py
6. Added lipo-integration as an optional dependency in pyproject.toml

Checklist

• PR title includes appropriate tag: [BUG], [ENH], [DOC] or [MNT]
• Linked to related issue (if applicable)
• Code passes make check (lint, format, isort)
• Tests added/updated for changes (if applicable)
• Documentation updated (if applicable)

Testing

pytest src/hyperactive/tests/test_lipo.py examples/test_examples.py -v -k "lipo"

the test for lipo are pasing locally also

All 4 tests should pass:
test_lipo_basic
test_lipo_categorical
test_lipo_snap_to_grid
test_example_runs_successfully[examples/lipo/lipo_examples.py]

Additional Notes

lipo's GlobalOptimizer is parameter-free by design, meaning no "tuning of the tuner" is required, which is the key motivation for this integration per issue #102

before the tests we failing locally

this was due to this code in src/hyperactive/opt/lipo.py

opt.run(self.n_iter)
return self._snap_to_grid(opt.maximum["x"])

which was converted to

opt.run(self.n_iter)
return self._snap_to_grid(opt.optimum[0])

All the tests ran locally - also passing

files created or made changes in

README.md
examples/lipo/lipo_examples.py
pyproject.toml
src/hyperactive/opt/__init__.py
src/hyperactive/opt/lipo.py
src/hyperactive/tests/test_lipo.py