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Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.

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For a distributed system where a file system is shared, this introduces an optimization loop setup where the optimizer always keeps the batch of proposals filled and clients can read...

* Wrap the dask distributed example in a `main` * Add dask example to tests * Remove superfluous integration test marker

Waiting for torch to support Python 3.12

Do the following in `__init__.py` instead of duplicating the version information: ```python __version__ = importlib.metadata.version("blackboxopt") ```