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Not really fast (relative to pure in-memory), but the #37 implementation provides the logic to do so, albeit currently using disk as a medium. This should be rewritten to be able to run in-memory, as the benefits of the out-of-core on-disk implementation should translate well.
The implant segmentation is currently written in Python and is very slow. But in fact, it should be blazingly fast. So let's make that happen.
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